diff --git a/attention.png b/attention.png new file mode 100644 index 0000000..40876e9 Binary files /dev/null and b/attention.png differ diff --git a/bug_localization_InternVL.py b/bug_localization_InternVL.py new file mode 100644 index 0000000..dddf422 --- /dev/null +++ b/bug_localization_InternVL.py @@ -0,0 +1,719 @@ +from __future__ import annotations +from datasets import load_dataset, load_from_disk +import json +from dataclasses import dataclass +from enum import Enum +import zlib +import pickle +from tqdm import tqdm +from src.utils.utils import evaluate_generations, codegen_metrics, write +from src.tasks.debug.lcb_debug import CodeGenerationProblem +from src.codetransform.cfg2image import code2cfgimage +import torch.nn.functional as F +from transformers import PreTrainedTokenizerFast +import re +import os +import numpy as np +import matplotlib.pyplot as plt +import torch +import torchvision.transforms as T +from PIL import Image +from torchvision.transforms.functional import InterpolationMode +from transformers import AutoTokenizer +from src.models.internvl2.modeling_internvl_chat import InternVLChatModel +import src.utils.options +import os +import re +import torch +import numpy as np +import matplotlib.pyplot as plt +from transformers import AutoTokenizer + +args = src.utils.options.options().parse_args() + +IMAGENET_MEAN = (0.485, 0.456, 0.406) +IMAGENET_STD = (0.229, 0.224, 0.225) + +def build_transform(input_size): + MEAN, STD = IMAGENET_MEAN, IMAGENET_STD + transform = T.Compose([ + T.Lambda(lambda img: img.convert('RGB') if img.mode != 'RGB' else img), + T.Resize((input_size, input_size), interpolation=InterpolationMode.BICUBIC), + T.ToTensor(), + T.Normalize(mean=MEAN, std=STD) + ]) + return transform + +def find_closest_aspect_ratio(aspect_ratio, target_ratios, width, height, image_size): + best_ratio_diff = float('inf') + best_ratio = (1, 1) + area = width * height + for ratio in target_ratios: + target_aspect_ratio = ratio[0] / ratio[1] + ratio_diff = abs(aspect_ratio - target_aspect_ratio) + if ratio_diff < best_ratio_diff: + best_ratio_diff = ratio_diff + best_ratio = ratio + elif ratio_diff == best_ratio_diff: + if area > 0.5 * image_size * image_size * ratio[0] * ratio[1]: + best_ratio = ratio + return best_ratio + +def dynamic_preprocess(image, min_num=1, max_num=12, image_size=448, use_thumbnail=False): + orig_width, orig_height = image.size + aspect_ratio = orig_width / orig_height + + target_ratios = set( + (i, j) for n in range(min_num, max_num + 1) for i in range(1, n + 1) for j in range(1, n + 1) if + i * j <= max_num and i * j >= min_num) + target_ratios = sorted(target_ratios, key=lambda x: x[0] * x[1]) + + target_aspect_ratio = find_closest_aspect_ratio( + aspect_ratio, target_ratios, orig_width, orig_height, image_size) + + target_width = image_size * target_aspect_ratio[0] + target_height = image_size * target_aspect_ratio[1] + blocks = target_aspect_ratio[0] * target_aspect_ratio[1] + + resized_img = image.resize((target_width, target_height)) + processed_images = [] + for i in range(blocks): + box = ( + (i % (target_width // image_size)) * image_size, + (i // (target_width // image_size)) * image_size, + ((i % (target_width // image_size)) + 1) * image_size, + ((i // (target_width // image_size)) + 1) * image_size + ) + split_img = resized_img.crop(box) + processed_images.append(split_img) + assert len(processed_images) == blocks + if use_thumbnail and len(processed_images) != 1: + thumbnail_img = image.resize((image_size, image_size)) + processed_images.append(thumbnail_img) + return processed_images + +def load_image(image_file, input_size=448, max_num=12): + image = Image.open(image_file).convert('RGB') + transform = build_transform(input_size=input_size) + images = dynamic_preprocess(image, image_size=input_size, use_thumbnail=True, max_num=max_num) + pixel_values = [transform(image) for image in images] + pixel_values = torch.stack(pixel_values) + return pixel_values + +path = 'OpenGVLab/InternVL2-8B' +model = InternVLChatModel.from_pretrained( + path, + torch_dtype=torch.bfloat16, + # low_cpu_mem_usage=True, + attn_implementation="eager", + # use_flash_attn=True, + trust_remote_code=True).eval().cuda() +# model = AutoModel.from_pretrained(path, trust_remote_code=True).eval().cuda() +tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True, use_fast=True) +pattern = r"```python(.*?)```" + +def get_buggy_cfg_COT_prompt(code: str): + prompt = f"""Analyze the following Python code snippet, which contains error(s) when executing + +You will also be provided with a control flow graph (CFG) image of this code. As you analyze each line: +1. Examine each line of code sequentially using both code and CFG +2. Use this understanding to support your reasoning about the code's logic and potential errors. + +Think through your analysis step by step, considering both the code and its representation in the CFG. + +Here is an example: +Code: +n = '5' +A = [2, 1, 5, 4, 3] +ans = 0 +temp = 0 +for i in range(n-1): + if A[i]") +# input_ids = tokenizer(query_prompt, return_tensors='pt')["input_ids"] +# input_token_len = len(input_ids[0]) - 1 # -1 for the token + +# vision_token_start = len(tokenizer(query_prompt.split("")[0], return_tensors='pt')["input_ids"][0]) +# vision_token_end = vision_token_start + num_patches +# overall_attn_weights_over_vis_tokens = [] + +# for i, (row, token) in enumerate( +# zip( +# llm_attn_matrix[input_token_len:], +# generation_output["sequences"][0].tolist() +# ) +# ): +# overall_attn_weights_over_vis_tokens.append( +# row[vision_token_start:vision_token_end].sum().item() +# ) + +# # plot the trend of attention weights over the vision tokens +# fig, ax = plt.subplots(figsize=(30, 5)) +# ax.plot(overall_attn_weights_over_vis_tokens) +# ax.set_xticks(range(len(overall_attn_weights_over_vis_tokens))) +# ax.set_xticklabels( +# [tokenizer.decode(token, add_special_tokens=False).strip() for token in generation_output["sequences"][0].tolist()], +# rotation=75 +# ) +# ax.set_title("at each token, the sum of attention weights over all the vision tokens") +# fig.savefig("token_attention.png") + + +# Ensure you have the tokenizer initialized +# Replace 'your-model-name' with the actual model you are using + +def parse_steps(response_text, buggy_mode=False): + """ + Parses the response text to identify steps using regex. + Assumes steps are formatted like '1. **Step Title:**' + """ + # Corrected regex pattern to capture steps like '1. **Initialization:**' + if not buggy_mode: + step_pattern = re.compile(r'(\d+)\.\s+\*\*(.*?):\*\*', re.MULTILINE) + steps = [] + + # Find all matches + matches = list(step_pattern.finditer(response_text)) + + for i, match in enumerate(matches): + step_num = int(match.group(1)) + step_title = match.group(2).strip() + start_char = match.start() # Start from the beginning of the title + if i < len(matches) - 1: + end_char = matches[i + 1].start() + else: + end_char = len(response_text) + + # Extract the content for this step, including the title + content = response_text[start_char:end_char].strip() + + steps.append({ + 'num': step_num, + 'title': step_title, + 'start_char': start_char, + 'end_char': end_char, + 'content': content + }) + else: + steps = [] + for line in response_text.split("Analysis")[1].split("\n"): + if len(line) < 2: + continue + start_char = response_text.find(line) + end_char = start_char + len(line) + steps.append({ + 'num': len(steps) + 1, + 'title': "Step", + 'start_char': start_char, + 'end_char': end_char, + 'content': line + }) + return steps + +def find_subsequence(full_tokens, step_tokens, start_index=0): + """ + Finds the start index of step_tokens within full_tokens starting from start_index. + Returns the start index if found, else -1. + """ + len_full = len(full_tokens) + len_step = len(step_tokens) + + for i in range(start_index, len_full - len_step + 1): + if full_tokens[i:i+len_step] == step_tokens: + return i + return -1 + +def assign_tokens_sequential(full_text, steps, tokenizer): + """ + Assigns token indices to each step by searching for step token sequences within full tokens. + """ + # Tokenize the full text + full_tokens = tokenizer.encode(full_text, add_special_tokens=False) + current_index = 0 + for step in steps: + # Tokenize the step content + step_tokens = tokenizer.encode(step['content'], add_special_tokens=False) + # Search for the step token sequence in the full token list + start_idx = find_subsequence(full_tokens, step_tokens[:-1], start_index=current_index) + if start_idx == -1: + print(f"Token sequence for Step {step['num']}: '{step['title']}' not found.") + step['tokens'] = [] + continue + # Assign tokens to the step + step['tokens'] = list(range(start_idx, start_idx + len(step_tokens))) + # Update the current_index to the end of this step's tokens + current_index = start_idx + len(step_tokens) + print(f"Assigned tokens for Step {step['num']}: '{step['title']}'") + return steps + +def compute_average_attention_per_step(steps, llm_attn_matrix, vision_token_start, vision_token_end): + """ + Computes the average attention over vision tokens for each step. + """ + average_attn_per_step = [] + step_labels = [] + for step in steps: + if not step['tokens']: + continue # Skip steps with no tokens + # Extract the attention rows corresponding to the step's tokens + step_attn = llm_attn_matrix[step['tokens'], vision_token_start:vision_token_end] + # Sum attention over vision tokens for each token in the step + step_attn_sum = step_attn.sum(dim=1) # Shape: [num_tokens_in_step] + # Compute the average attention for the step + step_attn_avg = step_attn_sum.mean().item() + average_attn_per_step.append(step_attn_avg) + step_labels.append(f"{step['num']}. {step['title']}") + return average_attn_per_step, step_labels + +def plot_average_attention(average_attn, labels, output_path="step_token_attention.png"): + """ + Plots the average attention per step with step titles as x-axis labels. + """ + fig, ax = plt.subplots(figsize=(30, 5)) + ax.plot(average_attn, marker='o') + ax.set_xticks(range(len(average_attn))) + ax.set_xticklabels(labels, rotation=75, ha='right') + ax.set_xlabel("Steps") + ax.set_ylabel("Average Attention over Vision Tokens") + ax.set_title("Average Attention per Step") + ax.grid(True) + plt.tight_layout() + fig.savefig(output_path) + plt.close(fig) + print(f"Plot saved to {output_path}") + + +def plot_steps_attention_heatmaps( + steps, + llm_attn_matrix, + vision_token_start, + vision_token_end, + image, + model, + tokenizer, + output_dir="steps_cot_only_attention" +): + """ + Plots and saves attention heatmaps for each step. + + Args: + steps (list of dict): List of steps, each containing 'num', 'title', and 'tokens' keys. + llm_attn_matrix (torch.Tensor or np.ndarray): Attention matrix of shape [seq_len, num_vision_tokens]. + vision_token_start (int): Start index of vision tokens in the attention matrix. + vision_token_end (int): End index of vision tokens in the attention matrix. + image (PIL.Image or np.ndarray): The original image. + model: The model object containing vision attentions. + tokenizer: The tokenizer used for decoding tokens. + output_dir (str): Directory to save the heatmap images. + """ + # Ensure output directory exists + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + # Aggregate vision attention + # vis_attn_matrix = aggregate_vit_attention( + # model.vision_model.image_attentions, + # select_layer=model.select_layer, + # all_prev_layers=True + # ) + grid_size = model.vision_model.embeddings.num_patches_per_side + + # Convert attention matrices to numpy if they are torch tensors + if isinstance(llm_attn_matrix, torch.Tensor): + llm_attn_matrix = llm_attn_matrix.cpu().numpy() + # if isinstance(vis_attn_matrix, torch.Tensor): + # vis_attn_matrix = vis_attn_matrix.float().cpu().numpy() + + for step in steps: + step_num = step['num'] + step_title = step['title'] + token_indices = step.get('tokens', []) + + if not token_indices: + print(f"Skipping Step {step_num}: '{step_title}' due to no assigned tokens.") + continue + + # Aggregate attention weights for all tokens in the step + # Shape of llm_attn_matrix[token_indices, vision_token_start:vision_token_end]: [num_tokens, num_vision_tokens] + step_attn = llm_attn_matrix[token_indices, vision_token_start:vision_token_end] + + # Option 1: Sum attention over all tokens in the step + # import ipdb; ipdb.set_trace() + aggregated_attn = step_attn.sum(axis=0) + + # Option 2: Average attention over all tokens in the step + # aggregated_attn = step_attn.mean(axis=0) + + # Normalize the aggregated attention + # if aggregated_attn.sum() != 0: + # aggregated_attn /= aggregated_attn.sum() + + # Reshape attention to image grid + # attn_over_image = [] + # for weight, vis_attn in zip(aggregated_attn, vis_attn_matrix): + # # import ipdb; ipdb.set_trace() + # vis_attn = vis_attn.reshape(grid_size, grid_size) + # attn_over_image.append(vis_attn * weight) + # attn_over_image = + try: + attn_over_image = np.array(aggregated_attn).reshape(7,16,16) + except: + attn_over_image = np.array(aggregated_attn).reshape(1,16,16) + attn_over_image = attn_over_image.mean(axis=0) + # import ipdb; ipdb.set_trace() + + # Normalize attention over the image + if attn_over_image.max() != 0: + attn_over_image /= attn_over_image.max() + + # Resize attention to match image size + attn_over_image = F.interpolate( + torch.tensor(attn_over_image).unsqueeze(0).unsqueeze(0), + size=(image.size[1], image.size[0]), # (height, width) + mode='bilinear', + # mode='linear', + align_corners=False + ).squeeze().numpy() + + # Convert image to numpy if it's a PIL image + if isinstance(image, torch.Tensor): + np_img = image.permute(1, 2, 0).cpu().numpy()[:, :, ::-1] + elif isinstance(image, np.ndarray): + np_img = image[:, :, ::-1] + else: + np_img = np.array(image)[:, :, ::-1] + + # Overlay attention on image + img_with_attn, heatmap = show_mask_on_image(np_img, attn_over_image) + + # Plotting + fig, ax = plt.subplots(figsize=(8, 8)) + ax.imshow(img_with_attn) + ax.set_title(f"Step {step_num}: {step_title}", fontsize=12) + ax.axis("off") + + # Save the figure + save_path = os.path.join(output_dir, f"step_{step_num}_{step_title.replace(' ', '_')}.png") + plt.savefig(save_path, bbox_inches='tight') + plt.close(fig) + print(f"Saved attention heatmap for Step {step_num}: '{step_title}' to {save_path}") + +if __name__ == "__main__": + from src.utils.utils import ( + aggregate_llm_attention, aggregate_vit_attention, + heterogenous_stack, + show_mask_on_image + ) + + import argparse + + # Example argument parser (adjust as needed) + parser = argparse.ArgumentParser() + parser.add_argument('--setting', type=str, required=True) + parser.add_argument('--session', type=str, required=True) + args = parser.parse_args() + + results = [] + path = "new_output/bug_localization/InternVL" + if not os.path.exists(path): + os.makedirs(path) + path = os.path.join(path, f"{args.setting}_{args.session}.txt") + + code = """n = '123456789' +n=str(n) +Sum=0 +for i in range(len(n)): + Sum=Sum+n[i]-"0" +if Sum%9==0: + print("yes") +else: + print("no")""" + + if 'cfg' in args.setting or args.setting == "VisualCoder": + filepath, _ = code2cfgimage(code, filename=f"{args.setting}_{args.session}_InterVL") + else: + filepath = None + + generation_config = dict(max_new_tokens=2048, do_sample=False, output_attentions=True, return_dict_in_generate=True) + response, generation_output, query_prompt = run_error_detection(code, filepath, generation_config, analysis=True) + print("Response: ", response) + + # Aggregate prompt attention + aggregated_prompt_attention = [] + for i, layer in enumerate(generation_output["attentions"][0]): + layer_attns = layer.squeeze(0) # Shape: [num_heads, seq_len] + attns_per_head = layer_attns.mean(dim=0) # Shape: [seq_len] + cur = attns_per_head[:-1].cpu().clone() + + cur[1:, 0] = 0. + cur[1:] = cur[1:] / cur[1:].sum(-1, keepdim=True) + aggregated_prompt_attention.append(cur) + aggregated_prompt_attention = torch.stack(aggregated_prompt_attention).mean(dim=0) # Shape: [seq_len] + + # Stack LLM attention + llm_attn_matrix = heterogenous_stack( + [torch.tensor([1])] + + list(aggregated_prompt_attention) + + list(map(aggregate_llm_attention, generation_output["attentions"])) + ) + gamma_factor = 1 + enhanced_attn_m = np.power(llm_attn_matrix.numpy(), 1 / gamma_factor) + + # Plot attention matrix + fig, ax = plt.subplots(figsize=(10, 10), dpi=150) + ax.imshow(enhanced_attn_m, + vmin=enhanced_attn_m.min(), + vmax=enhanced_attn_m.max(), + interpolation="nearest") + ax.set_xlabel("Vision Tokens") + ax.set_ylabel("LLM Tokens") + ax.set_title("Enhanced Attention Matrix") + fig.savefig("attention.png") + plt.close(fig) + print("Attention matrix plot saved to attention.png") + + # Identify vision tokens + num_patches = query_prompt.count("") + input_ids = tokenizer(query_prompt, return_tensors='pt')["input_ids"] + input_token_len = len(input_ids[0]) - 1 # -1 for the token + + vision_token_start = len(tokenizer(query_prompt.split("")[0], return_tensors='pt')["input_ids"][0]) + vision_token_end = vision_token_start + num_patches + + # Parse steps from the response + steps = parse_steps(response, "buggy" in args.setting) + if not steps: + print("No steps found in the response. Please ensure the response follows the expected format.") + exit(1) + + # Assign tokens to steps + steps = assign_tokens_sequential(response, steps, tokenizer) + # Compute average attention per step + average_attn, step_labels = compute_average_attention_per_step( + steps, llm_attn_matrix, vision_token_start, vision_token_end + ) + + if not average_attn: + print("No attention data computed for steps.") + exit(1) + + # Plot the average attention per step + plot_average_attention(average_attn, step_labels) + + # Optionally, save step information to a text file + with open("steps_attention.txt", "w") as f: + for label, attn in zip(step_labels, average_attn): + f.write(f"{label}: {attn}\n") + print("Step attention details saved to steps_attention.txt") + + image = Image.open(filepath).convert("RGB") + image = image.resize((448, 448)) + plot_steps_attention_heatmaps(steps, llm_attn_matrix, vision_token_start, vision_token_end, image, model, tokenizer, f"steps_attention_{args.session}" if 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Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "Downloading readme: 100%|██████████| 988/988 [00:00<00:00, 4.30kB/s]\n", + "Downloading data: 100%|██████████| 1.01G/1.01G [01:02<00:00, 16.3MB/s]\n", + "Downloading data: 100%|██████████| 464M/464M [00:22<00:00, 20.9MB/s] \n", + "Downloading data: 100%|██████████| 125M/125M [00:06<00:00, 19.3MB/s] \n", + "Downloading data: 100%|██████████| 140M/140M [00:12<00:00, 11.5MB/s] \n", + "Downloading data: 100%|██████████| 70.2M/70.2M [00:05<00:00, 12.6MB/s]\n", + "Downloading data: 100%|██████████| 130M/130M [00:06<00:00, 19.8MB/s] \n", + "Generating test split: 100%|██████████| 153/153 [00:14<00:00, 10.66 examples/s]\n" + ] + } + ], "source": [ "from datasets import load_dataset\n", "import json\n", @@ -19,31 +36,70 @@ "dataset = load_dataset(\"huypn16/LCB-R-F\")[\"test\"]" ] }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'question_title': 'Fill the Gaps',\n", + " 'question_content': 'We have a sequence of length N consisting of positive integers: A=(A_1,\\\\ldots,A_N). Any two adjacent terms have different values.\\nLet us insert some numbers into this sequence by the following procedure.\\n\\n- If every pair of adjacent terms in A has an absolute difference of 1, terminate the procedure.\\n- Let A_i, A_{i+1} be the pair of adjacent terms nearest to the beginning of A whose absolute difference is not 1.\\n- If A_i < A_{i+1}, insert A_i+1,A_i+2,\\\\ldots,A_{i+1}-1 between A_i and A_{i+1}.\\n- If A_i > A_{i+1}, insert A_i-1,A_i-2,\\\\ldots,A_{i+1}+1 between A_i and A_{i+1}.\\n\\n\\n- Return to step 1.\\n\\nPrint the sequence when the procedure ends.\\n\\nInput\\n\\nThe input is given from Standard Input in the following format:\\nN\\r\\nA_1 A_2 \\\\ldots A_N\\n\\nOutput\\n\\nPrint the terms in the sequence when the procedure ends, separated by spaces.\\n\\nConstraints\\n\\n\\n- 2 \\\\leq N \\\\leq 100\\n- 1 \\\\leq A_i \\\\leq 100\\n- A_i \\\\neq A_{i+1}\\n- All values in the input are integers.\\n\\nSample Input 1\\n\\n4\\r\\n2 5 1 2\\n\\nSample Output 1\\n\\n2 3 4 5 4 3 2 1 2\\r\\n\\nThe initial sequence is (2,5,1,2). The procedure goes as follows.\\n\\n- Insert 3,4 between the first term 2 and the second term 5, making the sequence (2,3,4,5,1,2).\\n- Insert 4,3,2 between the fourth term 5 and the fifth term 1, making the sequence (2,3,4,5,4,3,2,1,2).\\n\\nSample Input 2\\n\\n6\\r\\n3 4 5 6 5 4\\n\\nSample Output 2\\n\\n3 4 5 6 5 4\\r\\n\\nNo insertions may be performed.',\n", + " 'platform': 'atcoder',\n", + " 'question_id': 'abc301_b',\n", + " 'contest_id': 'abc301',\n", + " 'contest_date': datetime.datetime(2023, 5, 13, 0, 0),\n", + " 'starter_code': '',\n", + " 'difficulty': 'easy',\n", + " 'public_test_cases': '[{\"input\": \"4\\\\n2 5 1 2\\\\n\", \"output\": \"2 3 4 5 4 3 2 1 2\\\\n\", \"testtype\": \"stdin\"}, {\"input\": \"6\\\\n3 4 5 6 5 4\\\\n\", \"output\": \"3 4 5 6 5 4\\\\n\", \"testtype\": \"stdin\"}]',\n", + " 'private_test_cases': '[{\"input\": \"100\\\\n22 75 26 45 72 81 47 29 97 2 75 25 82 84 17 56 32 2 28 37 57 39 18 11 79 6 40 68 16 40 63 93 49 91 10 55 68 31 80 57 18 34 28 76 55 21 80 22 45 11 67 74 91 4 35 34 65 80 21 95 1 52 25 31 2 53 96 22 89 99 7 66 32 2 68 33 75 92 84 10 94 28 54 12 9 80 43 21 51 92 20 97 7 25 67 17 38 100 86 4\\\\n\", \"output\": \"22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 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59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 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62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 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50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1\\\\n\", \"testtype\": \"stdin\"}, {\"input\": \"100\\\\n85 84 85 84 83 84 85 86 85 84 85 84 83 82 83 84 85 86 87 86 85 84 83 82 83 84 83 82 81 80 79 80 79 80 81 82 83 84 85 84 85 86 87 88 89 88 89 90 89 88 89 90 91 90 89 90 91 92 91 90 89 88 87 88 89 90 91 90 89 90 91 92 93 94 93 92 93 92 93 92 93 92 91 90 89 88 87 86 87 88 89 90 89 88 87 88 89 88 89 90\\\\n\", \"output\": \"85 84 85 84 83 84 85 86 85 84 85 84 83 82 83 84 85 86 87 86 85 84 83 82 83 84 83 82 81 80 79 80 79 80 81 82 83 84 85 84 85 86 87 88 89 88 89 90 89 88 89 90 91 90 89 90 91 92 91 90 89 88 87 88 89 90 91 90 89 90 91 92 93 94 93 92 93 92 93 92 93 92 91 90 89 88 87 86 87 88 89 90 89 88 87 88 89 88 89 90\\\\n\", \"testtype\": \"stdin\"}, {\"input\": \"2\\\\n2 1\\\\n\", \"output\": \"2 1\\\\n\", \"testtype\": \"stdin\"}]',\n", + " 'metadata': '{}',\n", + " 'failed_generations': [{'failed_solution': 'import sys\\n\\n# Read input\\nN = int(sys.stdin.readline().strip())\\nA = [int(x) for x in sys.stdin.readline().strip().split()]\\n\\n# Helper function to insert numbers between adjacent terms\\ndef insert_numbers(arr):\\n i = 0\\n while i < len(arr) - 1:\\n if abs(arr[i] - arr[i+1]) != 1:\\n if arr[i] < arr[i+1]:\\n for j in range(arr[i]+1, arr[i+1]):\\n arr.insert(i+1, j)\\n i += arr[i+1] - arr[i]\\n else:\\n for j in range(arr[i+1]+1, arr[i]):\\n arr.insert(i+1, j)\\n i += arr[i] - arr[i+1]\\n else:\\n i += 1\\n return arr\\n\\n# Solve the problem\\nwhile True:\\n A = insert_numbers(A)\\n if all(abs(A[i] - A[i+1]) == 1 for i in range(len(A)-1)):\\n break\\n\\n# Print the final sequence\\nprint(\" \".join(map(str, A)))',\n", + " 'failed_test_cases': [0]},\n", + " {'failed_solution': 'N = int(input())\\nA = [int(x) for x in input().split()]\\n\\nwhile True:\\n # Find the first pair of adjacent terms with an absolute difference not equal to 1\\n for i in range(len(A) - 1):\\n if abs(A[i] - A[i+1]) != 1:\\n break\\n else:\\n break\\n\\n # Insert the missing numbers between the pair\\n if A[i] < A[i+1]:\\n for x in range(A[i]+1, A[i+1]):\\n A.insert(i+1, x)\\n else:\\n for x in range(A[i+1]+1, A[i]):\\n A.insert(i+1, x)\\n\\nprint(\" \".join(map(str, A)))',\n", + " 'failed_test_cases': [0]},\n", + " {'failed_solution': 'n = int(input())\\na = list(map(int, input().split()))\\n\\nwhile True:\\n flag = True\\n for i in range(n-1):\\n if abs(a[i] - a[i+1]) != 1:\\n flag = False\\n if a[i] < a[i+1]:\\n a = a[:i+1] + list(range(a[i]+1, a[i+1])) + a[i+1:]\\n else:\\n a = a[:i+1] + list(range(a[i+1]+1, a[i])) + a[i+1:]\\n n = len(a)\\n break\\n if flag:\\n break\\n\\nprint(*a)',\n", + " 'failed_test_cases': [0]}],\n", + " 'error_messages': ['{\"output\": \"2 3 4 3 4 5 4 3 2 1 2\\\\n\", \"expected\": \"2 3 4 5 4 3 2 1 2\\\\n\", \"inputs\": \"4\\\\n2 5 1 2\\\\n\", \"Wrong Answer\"}'],\n", + " 'failed_solution': ['import sys\\n\\n# Read input\\nN = int(sys.stdin.readline().strip())\\nA = [int(x) for x in sys.stdin.readline().strip().split()]\\n\\n# Helper function to insert numbers between adjacent terms\\ndef insert_numbers(arr):\\n i = 0\\n while i < len(arr) - 1:\\n if abs(arr[i] - arr[i+1]) != 1:\\n if arr[i] < arr[i+1]:\\n for j in range(arr[i]+1, arr[i+1]):\\n arr.insert(i+1, j)\\n i += arr[i+1] - arr[i]\\n else:\\n for j in range(arr[i+1]+1, arr[i]):\\n arr.insert(i+1, j)\\n i += arr[i] - arr[i+1]\\n else:\\n i += 1\\n return arr\\n\\n# Solve the problem\\nwhile True:\\n A = insert_numbers(A)\\n if all(abs(A[i] - A[i+1]) == 1 for i in range(len(A)-1)):\\n break\\n\\n# Print the final sequence\\nprint(\" \".join(map(str, A)))'],\n", + " 'testable_programs': ['def insert_numbers(arr):\\n i = 0\\n while i < len(arr) - 1:\\n if abs(arr[i] - arr[i+1]) != 1:\\n if arr[i] < arr[i+1]:\\n for j in range(arr[i]+1, arr[i+1]):\\n arr.insert(i+1, j)\\n i += arr[i+1] - arr[i]\\n else:\\n for j in range(arr[i+1]+1, arr[i]):\\n arr.insert(i+1, j)\\n i += arr[i] - arr[i+1]\\n else:\\n i += 1\\n return arr\\n\\nassert \" \".join(map(str, insert_numbers([2, 5, 1, 2]))) == \"2 3 4 5 4 3 2 1 2\"']}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset[0]" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# generations_all = []\n", - "# samples = []\n", - "# responses_all = []\n", + "generations_all = []\n", + "samples = []\n", + "responses_all = []\n", "\n", - "# for idx in range(len(dataset)):\n", - "# # for idx in range(1):\n", - "# problem = CodeGenerationProblem(dataset[idx])\n", - "# generations = []\n", - "# for failed_generation in dataset[idx][\"failed_generations\"]:\n", - "# buggy_program = failed_generation[\"failed_solution\"]\n", - "# # error_message = \"\"\n", + "for idx in range(len(dataset)):\n", + "# for idx in range(1):\n", + " problem = CodeGenerationProblem(dataset[idx])\n", + " generations = []\n", + " for failed_generation in dataset[idx][\"failed_generations\"]:\n", + " buggy_program = failed_generation[\"failed_solution\"]\n", + " # error_message = \"\"\n", " \n", - "# # generations = run(problem, buggy_program, error_message)\n", - "# generations.append(buggy_program)\n", - "# generations_all.append(generations)\n", - "# samples.append(problem.get_evaluation_sample())\n", + " # generations = run(problem, buggy_program, error_message)\n", + " generations.append(buggy_program)\n", + " generations_all.append(generations)\n", + " samples.append(problem.get_evaluation_sample())\n", " \n", - "# results, metadata = evaluate_generations(samples, generations_all, num_process_evaluate=32, timeout=6)\n", - "# metric = codegen_metrics(samples, generations_all)" + "results, metadata = evaluate_generations(samples, generations_all, num_process_evaluate=32, timeout=6)\n", + "metric = codegen_metrics(samples, generations_all)" ] }, { diff --git a/lcb_r_time_error.ipynb b/lcb_r_time_error.ipynb new file mode 100644 index 0000000..c3a1e16 --- /dev/null +++ b/lcb_r_time_error.ipynb @@ -0,0 +1,27975 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/datadrive5/huypn16/anaconda3/envs/vexec/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from datasets import load_dataset\n", + "import json\n", + "from dataclasses import dataclass\n", + "from enum import Enum\n", + "import zlib\n", + "import pickle\n", + "from tqdm import tqdm\n", + "from src.utils.utils import evaluate_generations, codegen_metrics\n", + "from src.tasks.debug.lcb_debug import CodeGenerationProblem\n", + "\n", + "dataset = load_dataset(\"huypn16/LCB-R-F\")[\"test\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'question_title': 'Fill the Gaps',\n", + " 'question_content': 'We have a sequence of length N consisting of positive integers: A=(A_1,\\\\ldots,A_N). Any two adjacent terms have different values.\\nLet us insert some numbers into this sequence by the following procedure.\\n\\n- If every pair of adjacent terms in A has an absolute difference of 1, terminate the procedure.\\n- Let A_i, A_{i+1} be the pair of adjacent terms nearest to the beginning of A whose absolute difference is not 1.\\n- If A_i < A_{i+1}, insert A_i+1,A_i+2,\\\\ldots,A_{i+1}-1 between A_i and A_{i+1}.\\n- If A_i > A_{i+1}, insert A_i-1,A_i-2,\\\\ldots,A_{i+1}+1 between A_i and A_{i+1}.\\n\\n\\n- Return to step 1.\\n\\nPrint the sequence when the procedure ends.\\n\\nInput\\n\\nThe input is given from Standard Input in the following format:\\nN\\r\\nA_1 A_2 \\\\ldots A_N\\n\\nOutput\\n\\nPrint the terms in the sequence when the procedure ends, separated by spaces.\\n\\nConstraints\\n\\n\\n- 2 \\\\leq N \\\\leq 100\\n- 1 \\\\leq A_i \\\\leq 100\\n- A_i \\\\neq A_{i+1}\\n- All values in the input are integers.\\n\\nSample Input 1\\n\\n4\\r\\n2 5 1 2\\n\\nSample Output 1\\n\\n2 3 4 5 4 3 2 1 2\\r\\n\\nThe initial sequence is (2,5,1,2). The procedure goes as follows.\\n\\n- Insert 3,4 between the first term 2 and the second term 5, making the sequence (2,3,4,5,1,2).\\n- Insert 4,3,2 between the fourth term 5 and the fifth term 1, making the sequence (2,3,4,5,4,3,2,1,2).\\n\\nSample Input 2\\n\\n6\\r\\n3 4 5 6 5 4\\n\\nSample Output 2\\n\\n3 4 5 6 5 4\\r\\n\\nNo insertions may be performed.',\n", + " 'platform': 'atcoder',\n", + " 'question_id': 'abc301_b',\n", + " 'contest_id': 'abc301',\n", + " 'contest_date': datetime.datetime(2023, 5, 13, 0, 0),\n", + " 'starter_code': '',\n", + " 'difficulty': 'easy',\n", + " 'public_test_cases': '[{\"input\": \"4\\\\n2 5 1 2\\\\n\", \"output\": \"2 3 4 5 4 3 2 1 2\\\\n\", \"testtype\": \"stdin\"}, {\"input\": \"6\\\\n3 4 5 6 5 4\\\\n\", \"output\": \"3 4 5 6 5 4\\\\n\", \"testtype\": \"stdin\"}]',\n", + " 'private_test_cases': '[{\"input\": \"100\\\\n22 75 26 45 72 81 47 29 97 2 75 25 82 84 17 56 32 2 28 37 57 39 18 11 79 6 40 68 16 40 63 93 49 91 10 55 68 31 80 57 18 34 28 76 55 21 80 22 45 11 67 74 91 4 35 34 65 80 21 95 1 52 25 31 2 53 96 22 89 99 7 66 32 2 68 33 75 92 84 10 94 28 54 12 9 80 43 21 51 92 20 97 7 25 67 17 38 100 86 4\\\\n\", \"output\": \"22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 33 32 31 30 29 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 26 27 28 29 30 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 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62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 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50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1\\\\n\", \"testtype\": \"stdin\"}, {\"input\": \"100\\\\n85 84 85 84 83 84 85 86 85 84 85 84 83 82 83 84 85 86 87 86 85 84 83 82 83 84 83 82 81 80 79 80 79 80 81 82 83 84 85 84 85 86 87 88 89 88 89 90 89 88 89 90 91 90 89 90 91 92 91 90 89 88 87 88 89 90 91 90 89 90 91 92 93 94 93 92 93 92 93 92 93 92 91 90 89 88 87 86 87 88 89 90 89 88 87 88 89 88 89 90\\\\n\", \"output\": \"85 84 85 84 83 84 85 86 85 84 85 84 83 82 83 84 85 86 87 86 85 84 83 82 83 84 83 82 81 80 79 80 79 80 81 82 83 84 85 84 85 86 87 88 89 88 89 90 89 88 89 90 91 90 89 90 91 92 91 90 89 88 87 88 89 90 91 90 89 90 91 92 93 94 93 92 93 92 93 92 93 92 91 90 89 88 87 86 87 88 89 90 89 88 87 88 89 88 89 90\\\\n\", \"testtype\": \"stdin\"}, {\"input\": \"2\\\\n2 1\\\\n\", \"output\": \"2 1\\\\n\", \"testtype\": \"stdin\"}]',\n", + " 'metadata': '{}',\n", + " 'failed_generations': [{'failed_solution': 'import sys\\n\\n# Read input\\nN = int(sys.stdin.readline().strip())\\nA = [int(x) for x in sys.stdin.readline().strip().split()]\\n\\n# Helper function to insert numbers between adjacent terms\\ndef insert_numbers(arr):\\n i = 0\\n while i < len(arr) - 1:\\n if abs(arr[i] - arr[i+1]) != 1:\\n if arr[i] < arr[i+1]:\\n for j in range(arr[i]+1, arr[i+1]):\\n arr.insert(i+1, j)\\n i += arr[i+1] - arr[i]\\n else:\\n for j in range(arr[i+1]+1, arr[i]):\\n arr.insert(i+1, j)\\n i += arr[i] - arr[i+1]\\n else:\\n i += 1\\n return arr\\n\\n# Solve the problem\\nwhile True:\\n A = insert_numbers(A)\\n if all(abs(A[i] - A[i+1]) == 1 for i in range(len(A)-1)):\\n break\\n\\n# Print the final sequence\\nprint(\" \".join(map(str, A)))',\n", + " 'failed_test_cases': [0]},\n", + " {'failed_solution': 'N = int(input())\\nA = [int(x) for x in input().split()]\\n\\nwhile True:\\n # Find the first pair of adjacent terms with an absolute difference not equal to 1\\n for i in range(len(A) - 1):\\n if abs(A[i] - A[i+1]) != 1:\\n break\\n else:\\n break\\n\\n # Insert the missing numbers between the pair\\n if A[i] < A[i+1]:\\n for x in range(A[i]+1, A[i+1]):\\n A.insert(i+1, x)\\n else:\\n for x in range(A[i+1]+1, A[i]):\\n A.insert(i+1, x)\\n\\nprint(\" \".join(map(str, A)))',\n", + " 'failed_test_cases': [0]},\n", + " {'failed_solution': 'n = int(input())\\na = list(map(int, input().split()))\\n\\nwhile True:\\n flag = True\\n for i in range(n-1):\\n if abs(a[i] - a[i+1]) != 1:\\n flag = False\\n if a[i] < a[i+1]:\\n a = a[:i+1] + list(range(a[i]+1, a[i+1])) + a[i+1:]\\n else:\\n a = a[:i+1] + list(range(a[i+1]+1, a[i])) + a[i+1:]\\n n = len(a)\\n break\\n if flag:\\n break\\n\\nprint(*a)',\n", + " 'failed_test_cases': [0]}],\n", + " 'error_messages': ['{\"output\": \"2 3 4 3 4 5 4 3 2 1 2\\\\n\", \"expected\": \"2 3 4 5 4 3 2 1 2\\\\n\", \"inputs\": \"4\\\\n2 5 1 2\\\\n\", \"Wrong Answer\"}'],\n", + " 'failed_solution': ['import sys\\n\\n# Read input\\nN = int(sys.stdin.readline().strip())\\nA = [int(x) for x in sys.stdin.readline().strip().split()]\\n\\n# Helper function to insert numbers between adjacent terms\\ndef insert_numbers(arr):\\n i = 0\\n while i < len(arr) - 1:\\n if abs(arr[i] - arr[i+1]) != 1:\\n if arr[i] < arr[i+1]:\\n for j in range(arr[i]+1, arr[i+1]):\\n arr.insert(i+1, j)\\n i += arr[i+1] - arr[i]\\n else:\\n for j in range(arr[i+1]+1, arr[i]):\\n arr.insert(i+1, j)\\n i += arr[i] - arr[i+1]\\n else:\\n i += 1\\n return arr\\n\\n# Solve the problem\\nwhile True:\\n A = insert_numbers(A)\\n if all(abs(A[i] - A[i+1]) == 1 for i in range(len(A)-1)):\\n break\\n\\n# Print the final sequence\\nprint(\" \".join(map(str, A)))'],\n", + " 'testable_programs': ['def insert_numbers(arr):\\n i = 0\\n while i < len(arr) - 1:\\n if abs(arr[i] - arr[i+1]) != 1:\\n if arr[i] < arr[i+1]:\\n for j in range(arr[i]+1, arr[i+1]):\\n arr.insert(i+1, j)\\n i += arr[i+1] - arr[i]\\n else:\\n for j in range(arr[i+1]+1, arr[i]):\\n arr.insert(i+1, j)\\n i += arr[i] - arr[i+1]\\n else:\\n i += 1\\n return arr\\n\\nassert \" \".join(map(str, insert_numbers([2, 5, 1, 2]))) == \"2 3 4 5 4 3 2 1 2\"'],\n", + " 'failed_solution_time_error': []}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "class PromptConstants:\n", + " SYSTEM_MESSAGE_GENERIC = f\"You are an expert Python programmer. You will be given a question (problem specification) and will generate a correct Python program that matches the specification and passes all tests. You should think step-by-step logically before returning final the program. The program should only include function definition with parameter list in order.\"\n", + "\n", + " SYSTEM_MESSAGE_GEMINI = f\"You are an expert Python programmer. You will be given a question (problem specification) and will generate a correct Python program that matches the specification and passes all tests. You will NOT return anything except for the program. Do NOT use system calls like `exit` in the generated program.\"\n", + "\n", + " SYSTEM_MESSAGE_DEEPSEEK = f\"You are an AI programming assistant, utilizing the DeepSeek Coder model, developed by DeepSeek Company, and you answer questions related to computer science.\"\n", + "\n", + " SYSTEM_MESSAGE_MAGIC = f\"You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.\\n\\n@@ Instruction\\n\"\n", + "\n", + " SYSTEM_MESSAGE_WIZARD = \"Below is an instruction that describes a task. Write a response that appropriately completes the request.\"\n", + "\n", + " SYSTEM_MESSAGE_PHIND = f\"\"\"You are an expert Python programmer. You will be given a question (problem specification) and will generate a correct Python program that matches the specification and passes all tests. You will NOT return anything except for the program. Put your fixed program within code delimiters, for example: \n", + "```python \n", + "# YOUR CODE HERE\n", + "```\"\"\"\n", + "\n", + " SYSTEM_MESSAGE_CODEQWEN = (\n", + " f\"<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n<|im_start|>user\"\n", + " )\n", + "\n", + " FORMATTING_MESSAGE_WITH_STARTER_CODE = \"You will use the following starter code to write the solution to the problem and enclose your code within delimiters.\"\n", + "\n", + " FORMATTING_WITHOUT_STARTER_CODE = \"Read the inputs from stdin solve the problem and write the answer to stdout (do not directly test on the sample inputs). Enclose your code within delimiters as follows.\"\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import anthropic\n", + "import random\n", + "\n", + "def get_generic_question_template_answer(question: CodeGenerationProblem):\n", + " prompt = f\"### Question:\\n{question.question_content}\\n\\n\"\n", + " if question.starter_code:\n", + " prompt += (\n", + " f\"### Format: {PromptConstants.FORMATTING_MESSAGE_WITH_STARTER_CODE}\\n\"\n", + " )\n", + " prompt += f\"```python\\n{question.starter_code}\\n```\\n\\n\"\n", + " else:\n", + " prompt += f\"### Format: {PromptConstants.FORMATTING_WITHOUT_STARTER_CODE}\\n\"\n", + " prompt += \"Your reasoning: ....```python\\n# YOUR CODE HERE\\n```\\n\\n\"\n", + " prompt += f\"### Answer: (use the provided format with backticks)\\n\\n\"\n", + " return prompt" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "pattern = r\"```python(.*?)```\" \n", + "def run(problem: CodeGenerationProblem, client: anthropic.Anthropic, num_samples: int = 5):\n", + " generations = []\n", + " raw_responses = []\n", + " chat_messages = [\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": get_generic_question_template_answer(problem),\n", + " },\n", + " ]\n", + " for i in range(num_samples):\n", + " try:\n", + " response = client.messages.create(\n", + " model=\"claude-3-5-sonnet-20240620\",\n", + " system=PromptConstants.SYSTEM_MESSAGE_GENERIC,\n", + " messages=chat_messages,\n", + " max_tokens=2048\n", + " )\n", + " solution = response.content[0].text\n", + " except:\n", + " solution = \"\"\n", + " match = re.search(pattern, solution, re.DOTALL)\n", + " if match:\n", + " python_code = match.group(1).strip()\n", + " generations.append(python_code)\n", + " raw_responses.append(solution)\n", + " return generations, raw_responses" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def run_cause_runtime_error(problem, responses, client):\n", + " generations = []\n", + " for response in responses:\n", + " if len(response) < 10:\n", + " continue\n", + " prompt = f\"### Question:\\n{problem.question_content}\\n\\n\"\n", + " prompt += f\"### Input-Output: {problem.public_test_cases}\\n\\n\"\n", + " prompt += f\"### Target code {response}\"\n", + " chat_messages = [\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": response,\n", + " }\n", + " ]\n", + " response = client.messages.create(\n", + " model=\"claude-3-5-sonnet-20240620\",\n", + " system=\"You are an expert in python code mutation, you will be given a code snippet as well as an input and you need to modify it to cause a runtime error.\",\n", + " messages=chat_messages,\n", + " max_tokens=2048\n", + " )\n", + " solution = response.content[0].text\n", + " match = re.search(pattern, solution, re.DOTALL)\n", + " if match:\n", + " python_code = match.group(1).strip()\n", + " generations.append(python_code)\n", + " return generations" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/153 [00:00\", line 44 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " ...\n", + "\n", + "Extension modules: zmq.backend.cython.context, zmq.backend.cython.message, zmq.backend.cython.socket, zmq.backend.cython._device, zmq.backend.cython._poll, zmq.backend.cython._proxy_steerable, zmq.backend.cython._version, zmq.backend.cython.error, zmq.backend.cython.utils, tornado.speedups, psutil._psutil_linux, psutil._psutil_posix, _pydevd_bundle.pydevd_cython, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, yaml._yaml, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs, multidict._multidict, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, xxhash._xxhash, pyarrow._json (total: 87)\n", + " 92%|█████████▏| 141/153 [00:27<00:03, 3.33it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 144/153 [00:30<00:06, 1.46it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 145/153 [00:34<00:11, 1.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 146/153 [00:35<00:09, 1.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 149/153 [00:53<00:17, 4.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▊| 151/153 [00:59<00:06, 3.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n", + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 152/153 [01:13<00:06, 6.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 153/153 [01:54<00:00, 1.33it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Evaluating 459...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 22%|██▏ | 99/459 [00:31<00:51, 7.03it/s]Fatal Python error: Segmentation fault\n", + "\n", + "Current thread 0x00007f036afd7180 (most recent call first):\n", + " File \"\", line 44 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in 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File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " File \"\", line 47 in can_partition\n", + " ...\n", + "\n", + "Extension modules: zmq.backend.cython.context, zmq.backend.cython.message, zmq.backend.cython.socket, zmq.backend.cython._device, zmq.backend.cython._poll, zmq.backend.cython._proxy_steerable, zmq.backend.cython._version, zmq.backend.cython.error, zmq.backend.cython.utils, tornado.speedups, psutil._psutil_linux, psutil._psutil_posix, _pydevd_bundle.pydevd_cython, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, yaml._yaml, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs, multidict._multidict, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, xxhash._xxhash, pyarrow._json (total: 87)\n", + " 97%|█████████▋| 446/459 [00:57<00:01, 9.14it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 448/459 [00:59<00:04, 2.54it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 451/459 [01:07<00:10, 1.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n", + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 452/459 [01:07<00:07, 1.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 454/459 [01:09<00:05, 1.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 457/459 [01:13<00:02, 1.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 458/459 [01:31<00:05, 5.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 459/459 [01:31<00:00, 5.01it/s]\n" + ] + } + ], + "source": [ + "import os\n", + "from tqdm import tqdm \n", + "generations_all = []\n", + "samples = []\n", + "responses_all = []\n", + "client = anthropic.Anthropic(api_key=\"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\")\n", + "\n", + "for idx in tqdm(range(len(dataset))):\n", + "# for idx in range(1):\n", + " problem = CodeGenerationProblem(dataset[idx])\n", + " generations = []\n", + " generations, raws = run(problem, client, num_samples=3)\n", + " # buggy_generations = run_cause_runtime_error(problem, generations, client)\n", + " # buggy_generations = dataset[idx][\"failed_solution_time_error\"]\n", + " generations_all.append(generations)\n", + " samples.append(problem.get_evaluation_sample())\n", + " responses_all.append(raws)\n", + " \n", + "results, metadata = evaluate_generations(samples, generations_all, num_process_evaluate=32, timeout=6)\n", + "metric = codegen_metrics(samples, generations_all)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'def find_first_nonunit_diff_pair(seq):\\n for i in range(len(seq) - 1):\\n if abs(seq[i] - seq[i+1]) != 1:\\n return i\\n return -1\\n\\ndef insert_numbers(seq, index):\\n start, end = seq[index], seq[index+1]\\n if start < end:\\n to_insert = list(range(start + 1, end))\\n else:\\n to_insert = list(range(start - 1, end, -1))\\n return seq[:index+1] + to_insert + seq[index+1:]\\n\\ndef solve_sequence(seq):\\n while True:\\n index = find_first_nonunit_diff_pair(seq)\\n if index == -1:\\n break\\n seq = insert_numbers(seq, index)\\n return seq\\n\\n# Read input\\nN = int(input())\\nseq = list(map(int, input().split()))\\n\\n# Solve and print result\\nresult = solve_sequence(seq)\\nprint(*result)'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + 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\"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"output\": \"-9\", \"expected\": \"1\", \"inputs\": \"[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -9]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"-1350\", \"expected\": \"1350\", \"inputs\": \"[3, -1, -5, 2, 5, -9]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"-5\", \"expected\": \"20\", \"inputs\": \"[-4, -5, -4]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"error\": \"TimeoutException()\", \"error_code\": -3, \"error_message\": \"Time Limit Exceeded\", \"inputs\": \"68697\\\\n[[12802, 924560], [29455, 365203], [2...(truncated) ...56], [56831, 315561], [30642, 707871]]\\\\n95748\\\\n[484997, 228007, 699616, 727152, 5682...(truncated) ...09706, 472303, 848714, 596513, 696653]\", \"expected\": \"[65749, 65762, 65864, 65885, 65790, 65803, 65807, 65795, 65756, 65813, 65816, 65813, 65869, 65787, 6...(truncated) ...5, 65800, 65879, 65866, 65884, 65890, 65740, 65789, 65779, 65822, 65767, 65763, 65919, 65837, 65843]\"}',\n", + " '{\"error\": \"KeyError(42)\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"66\\\\n[[21, 1364], [8, 6069], [35, 5182], [...(truncated) ...89], [39, 2140], [14, 4034], [39, 97]]\\\\n26\\\\n[3014, 8120, 1691, 6630, 6914, 8518, ...(truncated) ...49, 8124, 8879, 837, 7607, 1635, 6018]\", \"expected\": \"[61, 62, 64, 66, 61, 66, 63, 64, 64, 65, 65, 65, 65, 63, 64, 62, 64, 65, 63, 63, 66, 64, 63, 65, 65,...(truncated) ... 66, 65, 61, 63, 66, 65, 62, 64, 64, 64, 66, 65, 63, 62, 65, 64, 63, 66, 64, 63, 64, 65, 64, 64, 66]\"}',\n", + " '{\"error\": \"KeyError(42)\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"66\\\\n[[21, 1364], [8, 6069], [35, 5182], [...(truncated) ...89], [39, 2140], [14, 4034], [39, 97]]\\\\n26\\\\n[3014, 8120, 1691, 6630, 6914, 8518, ...(truncated) ...49, 8124, 8879, 837, 7607, 1635, 6018]\", \"expected\": \"[61, 62, 64, 66, 61, 66, 63, 64, 64, 65, 65, 65, 65, 63, 64, 62, 64, 65, 63, 63, 66, 64, 63, 65, 65,...(truncated) ... 66, 65, 61, 63, 66, 65, 62, 64, 64, 64, 66, 65, 63, 62, 65, 64, 63, 66, 64, 63, 64, 65, 64, 64, 66]\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}',\n", + " '{\"output\": \"90\", \"expected\": \"80\", \"inputs\": \"15\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"90\", \"expected\": \"80\", \"inputs\": \"15\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}',\n", + " '{\"output\": \"1\", \"expected\": \"0\", \"inputs\": \"[5, 5, 5, 5]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{}'],\n", + " ['{\"output\": \"1\", \"expected\": \"3\", \"inputs\": \"[1, 2, 3]\\\\n[1, 2, 3]\\\\n4\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"5\", \"expected\": \"-1\", \"inputs\": \"[7, 6, 6, 6, 10]\\\\n[2, 10, 3, 0, 8]\\\\n12\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"3\", \"expected\": \"-1\", \"inputs\": \"[1, 2, 3]\\\\n[3, 3, 3]\\\\n4\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}',\n", + " '{\"output\": \"-1\", \"expected\": \"2\", \"inputs\": \"[3, 4, 5, 1, 2]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"error\": \"ValueError(\\\\\"invalid literal for int() with base 10: \\'prevprevprevprevprev\\'\\\\\")\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"[\\\\\"prevprevprevprevprev\\\\\", \\\\\"29\\\\\", \\\\\"61\\\\\", \\\\\"21\\\\\", \\\\\"16\\\\\", \\\\\"50\\\\\", \\\\\"20\\\\\", \\\\\"88\\\\\", \\\\\"38\\\\\", \\\\\"87\\\\\", \\\\\"85\\\\\", \\\\\"2\\\\\", \\\\\"100\\\\\", \\\\\"60\\\\\", \\\\\"59\\\\\", \\\\\"88\\\\\", \\\\\"57\\\\\", \\\\\"18\\\\\", \\\\\"25\\\\\", \\\\\"42\\\\\", \\\\\"38\\\\\", \\\\\"69\\\\\", \\\\\"10\\\\\", \\\\\"21\\\\\"]\", \"expected\": \"[-1]\"}',\n", + " '{\"error\": \"ValueError(\\\\\"invalid literal for int() with base 10: \\'prevprevprevprevprev\\'\\\\\")\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"[\\\\\"prevprevprevprevprev\\\\\", \\\\\"29\\\\\", \\\\\"61\\\\\", \\\\\"21\\\\\", \\\\\"16\\\\\", \\\\\"50\\\\\", \\\\\"20\\\\\", \\\\\"88\\\\\", \\\\\"38\\\\\", \\\\\"87\\\\\", \\\\\"85\\\\\", \\\\\"2\\\\\", \\\\\"100\\\\\", \\\\\"60\\\\\", \\\\\"59\\\\\", \\\\\"88\\\\\", \\\\\"57\\\\\", \\\\\"18\\\\\", \\\\\"25\\\\\", \\\\\"42\\\\\", \\\\\"38\\\\\", \\\\\"69\\\\\", \\\\\"10\\\\\", \\\\\"21\\\\\"]\", \"expected\": \"[-1]\"}',\n", + " '{\"error\": \"ValueError(\\\\\"invalid literal for int() with base 10: \\'prevprevprevprevprev\\'\\\\\")\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"[\\\\\"prevprevprevprevprev\\\\\", \\\\\"29\\\\\", \\\\\"61\\\\\", \\\\\"21\\\\\", \\\\\"16\\\\\", \\\\\"50\\\\\", \\\\\"20\\\\\", \\\\\"88\\\\\", \\\\\"38\\\\\", \\\\\"87\\\\\", \\\\\"85\\\\\", \\\\\"2\\\\\", \\\\\"100\\\\\", \\\\\"60\\\\\", \\\\\"59\\\\\", \\\\\"88\\\\\", \\\\\"57\\\\\", \\\\\"18\\\\\", \\\\\"25\\\\\", \\\\\"42\\\\\", \\\\\"38\\\\\", \\\\\"69\\\\\", \\\\\"10\\\\\", \\\\\"21\\\\\"]\", \"expected\": \"[-1]\"}'],\n", + " ['{\"error\": \"TimeoutException()\", \"error_code\": -3, \"error_message\": \"Time Limit Exceeded\", \"inputs\": \"[938, 809, 707, 93, 327, 635, 879, 922, 400, 181, ...(truncated) ...84, 974, 892, 767, 225, 712, 1, 684, 127, 46, 265]\\\\n18612\\\\n19236\", \"expected\": \"122596383\"}',\n", + " '{\"error\": \"TimeoutException()\", \"error_code\": -3, \"error_message\": \"Time Limit Exceeded\", \"inputs\": \"[938, 809, 707, 93, 327, 635, 879, 922, 400, 181, ...(truncated) ...84, 974, 892, 767, 225, 712, 1, 684, 127, 46, 265]\\\\n18612\\\\n19236\", \"expected\": \"122596383\"}',\n", + " '{\"error\": \"TimeoutException()\", \"error_code\": -3, \"error_message\": \"Time Limit Exceeded\", \"inputs\": \"[938, 809, 707, 93, 327, 635, 879, 922, 400, 181, ...(truncated) ...84, 974, 892, 767, 225, 712, 1, 684, 127, 46, 265]\\\\n18612\\\\n19236\", \"expected\": \"122596383\"}'],\n", + " ['{}',\n", + " '{}',\n", + " '{\"output\": \"2\", \"expected\": \"-1\", \"inputs\": \"[1, 1, 5, 4, 5]\\\\n3\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"output\": \"1\", \"expected\": \"12\", \"inputs\": \"4\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{}',\n", + " '{\"output\": \"999006916\", \"expected\": \"12\", \"inputs\": \"4\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{\"output\": \"1\", \"expected\": \"4\", \"inputs\": \"[3, 1, 2]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"1\", \"expected\": \"4\", \"inputs\": \"[3, 1, 2]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{}'],\n", + " ['{\"error\": \"IndexError(\\'list index out of range\\')\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"[5, 2, 2]\", \"expected\": \"1\"}',\n", + " '{\"output\": \"3\", \"expected\": \"1\", \"inputs\": \"[5, 2, 2]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"23\", \"expected\": \"24\", \"inputs\": \"[86, 54, 627, 165, 686, 561, 518, 417, 677, 682, 415, 441, 854, 928, 459, 937, 608, 914, 717, 757, 244, 862, 792, 269, 784, 805, 402, 40, 410, 869, 28...(truncated) ...61, 247, 410, 143, 272, 436, 907, 924, 584, 226, 562, 844, 14, 41, 771, 479, 55, 292, 286, 248, 680, 420, 947, 760, 559, 297, 919, 922, 489, 989, 358]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}',\n", + " '{\"output\": \"2\", \"expected\": \"3\", \"inputs\": \"[1]\\\\n10\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{}'],\n", + " ['{}',\n", + " '{}',\n", + " '{\"output\": \"4\", \"expected\": \"6\", \"inputs\": \"[1, 3, 2, 3, 3]\\\\n2\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"output\": \"2\", \"expected\": \"3\", \"inputs\": \"[1, 2, 6, 4]\\\\n3\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"2\", \"expected\": \"3\", \"inputs\": \"[1, 2, 6, 4]\\\\n3\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"2\", \"expected\": \"3\", \"inputs\": \"[1, 2, 6, 4]\\\\n3\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}',\n", + " '{\"output\": \"1\", \"expected\": \"2\", \"inputs\": \"\\\\\"aaaa\\\\\"\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"error\": \"TimeoutException()\", \"error_code\": -3, \"error_message\": \"Time Limit Exceeded\", \"inputs\": \"9\\\\n1\", \"expected\": \"6\"}',\n", + " '{}',\n", + " '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"output\": \"2\", \"expected\": \"3\", \"inputs\": \"[5, 4, 1, 2, 2]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"3\", \"expected\": \"1\", \"inputs\": \"[5, 5, 8, 4]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"2\", \"expected\": \"1\", \"inputs\": \"[5, 5, 8, 4]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{\"output\": \"0\", \"expected\": \"2\", \"inputs\": \"[7, 3, 15, 14, 2, 8]\\\\n4\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"0\", \"expected\": \"3\", \"inputs\": \"[3, 5, 3, 2, 7]\\\\n2\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"0\", \"expected\": \"2\", \"inputs\": \"[7, 3, 15, 14, 2, 8]\\\\n4\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}',\n", + " '{}',\n", + " '{\"output\": \"1\", \"expected\": \"2\", \"inputs\": \"\\\\\"abacaba\\\\\"\\\\n3\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}',\n", + " '{\"output\": \"-1\", \"expected\": \"15\", \"inputs\": \"[5, 5, 5]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"output\": \"4\", \"expected\": \"5\", \"inputs\": \"1\\\\n6000\\\\n4\\\\n\\\\\"124\\\\\"\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"0\", \"expected\": \"5\", \"inputs\": \"1\\\\n6000\\\\n4\\\\n\\\\\"124\\\\\"\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"4\", \"expected\": \"5\", \"inputs\": \"1\\\\n6000\\\\n4\\\\n\\\\\"124\\\\\"\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"output\": \"false\", \"expected\": \"true\", \"inputs\": \"[8, 4, 2, 30, 15]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"false\", \"expected\": \"true\", \"inputs\": \"[8, 4, 2, 30, 15]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"false\", \"expected\": \"true\", \"inputs\": \"[8, 4, 2, 30, 15]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{\"output\": \"6\", \"expected\": \"11\", \"inputs\": \"[1, 2, 3, 4, 5, 6]\\\\n1\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"0\", \"expected\": \"-6\", \"inputs\": \"[-1, -2, -3, -4]\\\\n2\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"0\", \"expected\": \"-6\", \"inputs\": \"[-1, -2, -3, -4]\\\\n2\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}',\n", + " '{\"output\": \"16\", \"expected\": \"4\", \"inputs\": \"5\\\\n[3]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"1\", \"expected\": \"3\", \"inputs\": \"4\\\\n[1]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"error\": \"IndexError(\\'list index out of range\\')\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"\\\\\"abcabc\\\\\"\\\\n[[1, 1, 3, 5], [0, 2, 5, 5]]\", \"expected\": \"[true, true]\"}',\n", + " '{}',\n", + " '{\"output\": \"[false, false]\", \"expected\": \"[true, true]\", \"inputs\": \"\\\\\"abcabc\\\\\"\\\\n[[1, 1, 3, 5], [0, 2, 5, 5]]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{\"error\": \"TimeoutException()\", \"error_code\": -3, \"error_message\": \"Time Limit Exceeded\", \"inputs\": \"\\\\\"bufyqzvftwosmidqtuoicxtusljnmcmyciezzoeuasxwxmjrtsfdakjexdejkczyjvkxfenizx...(truncated) ...fpwfcbapdomwgigscfedigyvmcvqnoypzvjkjuefwpkcuwziwpbunkldnyzzopydwzmctzibpd\\\\\"\\\\n17\", \"expected\": \"70\"}',\n", + " '{\"error\": \"TimeoutException()\", \"error_code\": -3, \"error_message\": \"Time Limit Exceeded\", \"inputs\": \"\\\\\"bufyqzvftwosmidqtuoicxtusljnmcmyciezzoeuasxwxmjrtsfdakjexdejkczyjvkxfenizx...(truncated) ...fpwfcbapdomwgigscfedigyvmcvqnoypzvjkjuefwpkcuwziwpbunkldnyzzopydwzmctzibpd\\\\\"\\\\n17\", \"expected\": \"70\"}',\n", + " '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{}',\n", + " '{}',\n", + " '{\"output\": \"3\", \"expected\": \"4\", \"inputs\": \"[1, 2, 3, 4, 5, 6]\\\\n[1, 1]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"error\": \"TimeoutException()\", \"error_code\": -3, \"error_message\": \"Time Limit Exceeded\", \"inputs\": \"[98475448, 2521333, 95986349, 56040125, 63626663, 40624949, 1519155, 731590...(truncated) ...5320, 90509910, 99389317, 81981917, 47535831, 20360043, 73004736, 88952561]\\\\n[26720996, 24569530, 72391316, 94009662, 24181302, 19321395, 80120912, 8676...(truncated) ...3577, 63829756, 56064102, 61792340, 10176428, 71393231, 17707721, 88780369]\", \"expected\": \"8\"}',\n", + " '{}',\n", + " '{}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"output\": \"-1\", \"expected\": \"8\", \"inputs\": \"[2, 2, 0]\\\\n[2, 2, 2, 2, 3, 2, 2, 1]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"-1\", \"expected\": \"8\", \"inputs\": \"[2, 2, 0]\\\\n[2, 2, 2, 2, 3, 2, 2, 1]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"-1\", \"expected\": \"8\", \"inputs\": \"[2, 2, 0]\\\\n[2, 2, 2, 2, 3, 2, 2, 1]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}'],\n", + " ['{}', '{}', '{}'],\n", + " ['{\"output\": \"\\\\\"ab\\\\\"\", \"expected\": \"\\\\\"ba\\\\\"\", \"inputs\": \"\\\\\"aabcbbca\\\\\"\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"error\": \"ValueError(\\'max() arg is an empty sequence\\')\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"\\\\\"\\\\\"\", \"expected\": \"\\\\\"\\\\\"\"}',\n", + " '{\"error\": \"ValueError(\\'max() arg is an empty sequence\\')\", \"error_code\": -4, \"error_message\": \"Runtime Error\", \"inputs\": \"\\\\\"\\\\\"\", \"expected\": \"\\\\\"\\\\\"\"}'],\n", + " ['{\"output\": \"2\", \"expected\": \"1\", \"inputs\": \"[1, 4, 7, 10]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"2\", \"expected\": \"1\", \"inputs\": \"[1, 4, 7, 10]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}',\n", + " '{\"output\": \"2\", \"expected\": \"1\", \"inputs\": \"[1, 4, 7, 10]\", \"error_code\": -2, \"error_message\": \"Wrong Answer\"}']]]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "metric" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "valid_ids = {}\n", + "error_messages = []\n", + "for id_instance, instance in enumerate(metric[2]):\n", + " messages = []\n", + " if id_instance not in valid_ids:\n", + " valid_ids[id_instance] = []\n", + " for id_sample, sample in enumerate(instance):\n", + " if not \"error_message\" in sample:\n", + " valid_ids[id_instance].append(id_sample)\n", + " # messages.append(sample)\n", + " \n", + " # error_messages.append(messages)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "correct_sols = []\n", + "for id_instance, instance in enumerate(metric[2]):\n", + " correct_sol = []\n", + " for id_sample, sample in enumerate(instance):\n", + " if id_sample in valid_ids[id_instance]:\n", + " correct_sol.append(generations_all[id_instance][id_sample])\n", + " else:\n", + " correct_sol.append(None)\n", + " correct_sols.append(correct_sol)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "def add_num_lines(sol):\n", + " lines = sol.split(\"\\n\")\n", + " return \"\\n\".join([f\"{idx+1}: {line}\" for idx, line in enumerate(lines)])\n", + "\n", + "def run_mutate(sol):\n", + " sol = add_num_lines(sol)\n", + " response = client.messages.create(\n", + " model=\"claude-3-5-sonnet-20240620\",\n", + " system=\"You are an expert in python code mutation, you will be given a code snippet as well as an input and you need to modify a critical one line of code. The output format should be like this: ```line_number: new_code```\",\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": f\"here is the provided_code {sol}\",\n", + " }\n", + " ],\n", + " max_tokens=2048\n", + " )\n", + " return response.content[0].text" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1: class Solution:\n", + "2: def distinctDifferenceArray(self, nums: List[int]) -> List[int]:\n", + "3: def count_distinct(arr):\n", + "4: return len(set(arr))\n", + "5: \n", + "6: def calculate_distinct_counts(nums):\n", + "7: n = len(nums)\n", + "8: prefix_counts = [0] * n\n", + "9: suffix_counts = [0] * n\n", + "10: \n", + "11: prefix_set = set()\n", + "12: suffix_set = set()\n", + "13: \n", + "14: for i in range(n):\n", + "15: prefix_set.add(nums[i])\n", + "16: prefix_counts[i] = len(prefix_set)\n", + "17: \n", + "18: suffix_set.add(nums[n - 1 - i])\n", + "19: suffix_counts[n - 1 - i] = len(suffix_set)\n", + "20: \n", + "21: return prefix_counts, suffix_counts\n", + "22: \n", + "23: n = len(nums)\n", + "24: prefix_counts, suffix_counts = calculate_distinct_counts(nums)\n", + "25: \n", + "26: result = []\n", + "27: for i in range(n):\n", + "28: prefix_distinct = prefix_counts[i]\n", + "29: suffix_distinct = suffix_counts[i + 1] if i < n - 1 else 0\n", + "30: result.append(prefix_distinct - suffix_distinct)\n", + "31: \n", + "32: return result\n" + ] + } + ], + "source": [ + "print(add_num_lines(correct_sols[3]))" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "To modify a critical line of code in this snippet, I'll change line 29 to introduce a subtle bug. Here's the modified line:\n", + "\n", + "```\n", + "29: suffix_distinct = suffix_counts[i] if i < n - 1 else 0\n", + "```\n", + "\n", + "This change will cause the function to calculate the suffix distinct count incorrectly. Instead of using `suffix_counts[i + 1]`, it now uses `suffix_counts[i]`, which will lead to incorrect results in the final output.\n" + ] + } + ], + "source": [ + "print(run_mutate(correct_sols[3]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# valid_ids = {k: v for k, v in valid_ids.items() if len(v) > 0}\n", + "# error_messages = [error_messages[k] for k in valid_ids.keys()]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "312\n" + ] + } + ], + "source": [ + "# # Initialize an empty list to store the result\n", + "result = []\n", + "total_samples = 0\n", + "# Iterate over each key `i` in `valid_ids`\n", + "for i in valid_ids.keys():\n", + " # Check if `valid_ids[i]` has elements\n", + " if len(valid_ids[i]) > 0:\n", + " inner_list = []\n", + " for valid_id in valid_ids[i]:\n", + " inner_list.append(generations_all[i][valid_id])\n", + " \n", + " result.append(inner_list)\n", + " total_samples += len(inner_list)\n", + " else:\n", + " result.append([])\n", + "print(total_samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "dataset = dataset.add_column(\"failed_solution_time_error\", result)\n", + "\n", + "for idx in range(len(dataset)):\n", + " dataset[idx][\"error_messages_time_error\"] = error_messages[idx]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# for instance in dataset:\n", + "# if len(instance[\"failed_solution\"]) != len(instance[\"error_messages\"]):\n", + "# print(len(instance[\"failed_generations\"]))\n", + "# print(len(instance[\"error_messages\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# error_messages[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import anthropic\n", + "import re\n", + "import os\n", + "\n", + "pattern = r\"```python(.*?)```\" \n", + "SYSTEM_MESSAGE_GENERIC = f\"You are an expert Python programmer. You will be given a question (problem specification), a buggy program and its error message, you will generate a correct Python program that matches the specification, fix the original program and passes all the tests. You should think step-by-step logically before returning final the program. The program should only include function definition with parameter list in order.\"\n", + "\n", + "def get_template_answer(question: CodeGenerationProblem, buggy_prorgam: str, error_message: str):\n", + " prompt = f\"### Question:\\n{question.question_content}\\n\\n\"\n", + " prompt += f\"### Buggy program:\\n```python\\n{buggy_prorgam}\\n```\\n\\n\"\n", + " prompt += f\"### Error message:\\n{error_message}\\n\\n\"\n", + " prompt += \"Your reasoning: ....```python\\n# YOUR CODE HERE\\n```\\n\\n\"\n", + " return prompt\n", + " \n", + "def run(problem: CodeGenerationProblem, buggy_program: str, error_message: str):\n", + " client = anthropic.Anthropic(api_key=os.getenv(\"ANTHROPIC_API_KEY\"))\n", + " chat_messages = [\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": get_template_answer(problem, buggy_program, error_message),\n", + " },\n", + " ]\n", + " try:\n", + " response = client.messages.create(\n", + " model=\"claude-3-5-sonnet-20240620\",\n", + " system=SYSTEM_MESSAGE_GENERIC,\n", + " messages=chat_messages,\n", + " max_tokens=2048\n", + " )\n", + " solution = response.content[0].text\n", + " except:\n", + " solution = \"\"\n", + " \n", + " match = re.search(pattern, solution, re.DOTALL)\n", + " if match:\n", + " python_code = match.group(1).strip()\n", + " else:\n", + " python_code = \"\"\n", + " return python_code" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/153 [00:00, AttributeError(\"module 'tmp_sol' has no attribute 'smallestString'\"), )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 20%|█▉ | 30/153 [00:06<00:12, 9.59it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All tests passed!\n", + "All tests passed!" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 23%|██▎ | 35/153 [00:06<00:08, 13.53it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 41/153 [00:06<00:06, 16.14it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "unable to get function error = (, AttributeError(\"module 'tmp_sol' has no attribute 'minimumOperations'\"), )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 44/153 [00:06<00:06, 16.42it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All test cases passed!\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 47/153 [00:07<00:09, 11.70it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All tests passed!\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 52/153 [00:07<00:08, 12.25it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": 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{ + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 380/383 [00:37<00:03, 1.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 382/383 [00:43<00:01, 1.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alarm went off\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 383/383 [01:19<00:00, 4.83it/s]\n" + ] + } + ], + "source": [ + "generations_all = []\n", + "samples = []\n", + "responses_all = []\n", + "\n", + "for idx in tqdm(range(len(dataset))):\n", + "# for idx in range(1):\n", + " problem = CodeGenerationProblem(dataset[idx])\n", + " generations = []\n", + " for j, buggy_program in enumerate(dataset[idx][\"failed_solution\"]):\n", + " error_message = dataset[idx][\"error_messages\"][j] \n", + " annotated_buggy_program = execute_and_trace(dataset[idx][\"testable_programs\"][j])\n", + " generations.append(run_next(problem, annotated_buggy_program, error_message))\n", + " generations_all.append(generations)\n", + " samples.append(problem.get_evaluation_sample())\n", + " \n", + "results, metadata = evaluate_generations(samples, generations_all, num_process_evaluate=32, timeout=6)\n", + "metric = codegen_metrics(samples, generations_all)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "We have a sequence of length N consisting of positive integers: A=(A_1,\\ldots,A_N). Any two adjacent terms have different values.\n", + "Let us insert some numbers into this sequence by the following procedure.\n", + "\n", + "- If every pair of adjacent terms in A has an absolute difference of 1, terminate the procedure.\n", + "- Let A_i, A_{i+1} be the pair of adjacent terms nearest to the beginning of A whose absolute difference is not 1.\n", + "- If A_i < A_{i+1}, insert A_i+1,A_i+2,\\ldots,A_{i+1}-1 between A_i and A_{i+1}.\n", + "- If A_i > A_{i+1}, insert A_i-1,A_i-2,\\ldots,A_{i+1}+1 between A_i and A_{i+1}.\n", + "\n", + "\n", + "- Return to step 1.\n", + "\n", + "Print the sequence when the procedure ends.\n", + "\n", + "Input\n", + "\n", + "The input is given from Standard Input in the following format:\n", + "N\n", + "A_1 A_2 \\ldots A_N\n", + "\n", + "Output\n", + "\n", + "Print the terms in the sequence when the procedure ends, separated by spaces.\n", + "\n", + "Constraints\n", + "\n", + "\n", + "- 2 \\leq N \\leq 100\n", + "- 1 \\leq A_i \\leq 100\n", + "- A_i \\neq A_{i+1}\n", + "- All values in the input are integers.\n", + "\n", + "Sample Input 1\n", + "\n", + "4\n", + "2 5 1 2\n", + "\n", + "Sample Output 1\n", + "\n", + "2 3 4 5 4 3 2 1 2\n", + "\n", + "The initial sequence is (2,5,1,2). The procedure goes as follows.\n", + "\n", + "- Insert 3,4 between the first term 2 and the second term 5, making the sequence (2,3,4,5,1,2).\n", + "- Insert 4,3,2 between the fourth term 5 and the fifth term 1, making the sequence (2,3,4,5,4,3,2,1,2).\n", + "\n", + "Sample Input 2\n", + "\n", + "6\n", + "3 4 5 6 5 4\n", + "\n", + "Sample Output 2\n", + "\n", + "3 4 5 6 5 4\n", + "\n", + "No insertions may be performed.\n" + ] + } + ], + "source": [ + "print(dataset[0][\"question_content\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "import sys\n", + "\n", + "# Read input\n", + "N = int(sys.stdin.readline().strip())\n", + "A = [int(x) for x in sys.stdin.readline().strip().split()]\n", + "\n", + "# Helper function to insert numbers between adjacent terms\n", + "def insert_numbers(arr):\n", + " i = 0\n", + " while i < len(arr) - 1:\n", + " if abs(arr[i] - arr[i+1]) != 1:\n", + " if arr[i] < arr[i+1]:\n", + " for j in range(arr[i]+1, arr[i+1]):\n", + " arr.insert(i+1, j)\n", + " i += arr[i+1] - arr[i]\n", + " else:\n", + " for j in range(arr[i+1]+1, arr[i]):\n", + " arr.insert(i+1, j)\n", + " i += arr[i] - arr[i+1]\n", + " else:\n", + " i += 1\n", + " return arr\n", + "\n", + "# Solve the problem\n", + "while True:\n", + " A = insert_numbers(A)\n", + " if all(abs(A[i] - A[i+1]) == 1 for i in range(len(A)-1)):\n", + " break\n", + "\n", + "# Print the final sequence\n", + "print(\" \".join(map(str, A)))\n" + ] + } + ], + "source": [ + "print(dataset[0][\"failed_solution\"][0])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'pass@1': 0.4570806100217865,\n", + " 'detail': {'pass@1': {0: 0.0,\n", + " 1: 0.0,\n", + " 2: 0.0,\n", + " 3: 0.0,\n", + " 4: 0.0,\n", + " 5: 0.0,\n", + " 6: 0.0,\n", + " 7: 0.0,\n", + " 8: 0.0,\n", + " 9: 0.0,\n", + " 10: 0.0,\n", + " 11: 0.0,\n", + " 12: 0.0,\n", + " 13: 0.0,\n", + " 14: 0.0,\n", + " 15: 0.0,\n", + " 16: 0.0,\n", + " 17: 0.0,\n", + " 18: 0.0,\n", + " 19: 0.0,\n", + " 20: 0.0,\n", + " 21: 0.0,\n", + " 22: 0.0,\n", + " 23: 0.0,\n", + " 24: 0.0,\n", + " 25: 0.0,\n", + " 26: 0.0,\n", + " 27: 0.0,\n", + " 28: 0.0,\n", + " 29: 0.0,\n", + " 30: 0.0,\n", + " 31: 0.0,\n", + " 32: 0.0,\n", + " 33: 1.0,\n", + " 34: 1.0,\n", + " 35: 1.0,\n", + " 36: 1.0,\n", + " 37: 1.0,\n", + " 38: 1.0,\n", + " 39: 0.25,\n", + " 40: 0.0,\n", + " 41: 0.5,\n", + " 42: 1.0,\n", + " 43: 0.0,\n", + " 44: 0.0,\n", + " 45: 0.0,\n", + " 46: 1.0,\n", + " 47: 1.0,\n", + " 48: 0.0,\n", + " 49: 1.0,\n", + " 50: 0.6666666666666666,\n", + " 51: 1.0,\n", + " 52: 1.0,\n", + " 53: 0.5,\n", + " 54: 1.0,\n", + " 55: 1.0,\n", + " 56: 0.0,\n", + " 57: 1.0,\n", + " 58: 0.33333333333333326,\n", + " 59: 0.0,\n", + " 60: 1.0,\n", + " 61: 1.0,\n", + " 62: 1.0,\n", + " 63: 1.0,\n", + " 64: 0.0,\n", + " 65: 1.0,\n", + " 66: 1.0,\n", + " 67: 0.0,\n", + " 68: 0.0,\n", + " 69: 1.0,\n", + " 70: 0.0,\n", + " 71: 1.0,\n", + " 72: 1.0,\n", + " 73: 0.5,\n", + " 74: 1.0,\n", + " 75: 0.0,\n", + " 76: 1.0,\n", + " 77: 1.0,\n", + " 78: 0.5,\n", + " 79: 1.0,\n", + " 80: 0.0,\n", + " 81: 0.16666666666666663,\n", + " 82: 0.6666666666666666,\n", + " 83: 1.0,\n", + " 84: 0.5,\n", + " 85: 0.0,\n", + " 86: 0.6666666666666666,\n", + " 87: 0.33333333333333326,\n", + " 88: 0.0,\n", + " 89: 1.0,\n", + " 90: 1.0,\n", + " 91: 1.0,\n", + " 92: 1.0,\n", + " 93: 0.16666666666666663,\n", + " 94: 1.0,\n", + " 95: 1.0,\n", + " 96: 1.0,\n", + " 97: 1.0,\n", + " 98: 0.0,\n", + " 99: 0.5,\n", + " 100: 0.0,\n", + " 101: 0.6666666666666666,\n", + " 102: 0.5,\n", + " 103: 0.0,\n", + " 104: 1.0,\n", + " 105: 1.0,\n", + " 106: 1.0,\n", + " 107: 0.19999999999999996,\n", + " 108: 0.5,\n", + " 109: 1.0,\n", + " 110: 1.0,\n", + " 111: 0.0,\n", + " 112: 0.0,\n", + " 113: 0.5,\n", + " 114: 1.0,\n", + " 115: 0.19999999999999996,\n", + " 116: 0.0,\n", + " 117: 0.0,\n", + " 118: 1.0,\n", + " 119: 0.75,\n", + " 120: 1.0,\n", + " 121: 0.0,\n", + " 122: 1.0,\n", + " 123: 0.0,\n", + " 124: 1.0,\n", + " 125: 0.75,\n", + " 126: 1.0,\n", + " 127: 0.5,\n", + " 128: 1.0,\n", + " 129: 0.0,\n", + " 130: 0.16666666666666663,\n", + " 131: 1.0,\n", + " 132: 0.25,\n", + " 133: 1.0,\n", + " 134: 1.0,\n", + " 135: 1.0,\n", + " 136: 0.0,\n", + " 137: 0.5,\n", + " 138: 0.6666666666666666,\n", + " 139: 0.0,\n", + " 140: 0.0,\n", + " 141: 1.0,\n", + " 142: 0.0,\n", + " 143: 0.0,\n", + " 144: 1.0,\n", + " 145: 0.0,\n", + " 146: 0.33333333333333326,\n", + " 147: 0.0,\n", + " 148: 1.0,\n", + " 149: 0.0,\n", + " 150: 1.0,\n", + " 151: 0.0,\n", + " 152: 0.19999999999999996}}}" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "metric[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "vexec", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/lol.py b/lol.py new file mode 100644 index 0000000..1d75a16 --- /dev/null +++ b/lol.py @@ -0,0 +1,98 @@ +import re + +def parse_steps(response_text): + """ + Parses the response text to identify steps using regex. + Assumes steps are formatted like '1. **Step Title:**' + """ + # Corrected regex pattern to capture steps like '1. **Initialization:**' + step_pattern = re.compile(r'(\d+)\.\s+\*\*(.*?):\*\*', re.MULTILINE) + steps = [] + + # Find all matches + matches = list(step_pattern.finditer(response_text)) + + for i, match in enumerate(matches): + step_num = int(match.group(1)) + step_title = match.group(2).strip() + start_char = match.start() # Start from the beginning of the title + if i < len(matches) - 1: + end_char = matches[i + 1].start() + else: + end_char = len(response_text) + + # Extract the content for this step, including the title + content = response_text[start_char:end_char].strip() + + steps.append({ + 'num': step_num, + 'title': step_title, + 'start_char': start_char, + 'end_char': end_char, + 'content': content + }) + + return steps + + +text = """Let's analyze the code step by step and compare it with the control flow graph (CFG) to identify the problematic line. + +1. **Initialization:** + ```python + S = ['1', '2', '1', '4'] + K = 4 + ``` + - This line initializes the list `S` to `['1', '2', '1', '4']` and the variable `K` to 4. This corresponds to the node at the top of the CFG. + +2. **For loop:** + ```python + for i in range(len(K)): + if S[i]!= 1: + print(S[i]) + exit() + print(1) + ``` + - This line iterates over the indices of `S` using the length of `K` (which is 4). This corresponds to the `for` loop node in the CFG. + +3. **First `if` statement:** + ```python + if S[i]!= 1: + print(S[i]) + exit() + ``` + - This line checks if the element at index `i` in `S` is not equal to 1. This corresponds to the first `if` node in the CFG. + +4. **Second `if` statement:** + ```python + print(1) + ``` + - This line prints 1. This corresponds to the second `if` node in the CFG. + +5. **Third `if` statement:** + ```python + if S[i]!= 1: + print(S[i]) + exit() + ``` + - This line checks if the element at index `i` in `S` is not equal to 1. This corresponds to the third `if` node in the CFG. + +6. **Fourth `if` statement:** + ```python + print(1) + ``` + - This line prints 1. This corresponds to the fourth `if` node in the CFG. + +Now, let's identify the problematic line: + +- The first `if` statement checks if the element at index `i` in `S` is not equal to 1. This corresponds to the first `if` node in the CFG. + +- The second `if` statement prints 1. This corresponds to the second `if` node in the CFG. + +- The third `if` statement checks if the element at index `i` in `S` is not equal to 1. This corresponds to the third `if` node in the CFG. + +- The fourth `if` statement prints 1. This corresponds to the fourth `if` node in the CFG.""" + +if __name__ == '__main__': + steps = parse_steps(text) + for step in steps: + print(f"Step {step['num']}: {step['content']}") \ No newline at end of file diff --git a/output_image/VisualCoder_1_InterVL.png b/output_image/VisualCoder_1_InterVL.png new file mode 100644 index 0000000..c381238 Binary files /dev/null and b/output_image/VisualCoder_1_InterVL.png differ diff --git a/output_image/buggy_cfg_COT_1_InterVL.png b/output_image/buggy_cfg_COT_1_InterVL.png new file mode 100644 index 0000000..c381238 Binary files /dev/null and b/output_image/buggy_cfg_COT_1_InterVL.png differ diff --git a/src/codetransform/cfg2image.py b/src/codetransform/cfg2image.py index 577349c..a7151f6 100644 --- a/src/codetransform/cfg2image.py +++ b/src/codetransform/cfg2image.py @@ -5,10 +5,13 @@ import re import sys import src.codetransform.trace_execution as trace_execution +# import trace_execution import os import io import linecache from PIL import Image +import random +import difflib # TODO later: graph ''' @@ -32,6 +35,17 @@ def gen(self) -> int: self.counter += 1 return self.counter +# def a function to check the parenthesis balance +def check_parenthesis(code: str) -> bool: + stack = [] + for char in code: + if char in '([{': + stack.append(char) + elif char in ')]}': + if not stack: + return False + stack.pop() + return not stack class BasicBlock: @@ -63,10 +77,20 @@ def remove_from_next(self, next_bid: int) -> None: self.next.remove(next_bid) def stmts_to_code(self) -> str: + code_line = '' code = '' for stmt in self.stmts: line = astor.to_source(stmt) - code += line.split('\n')[0] + code_line = line.split('\n') + content = code_line[0] + if not check_parenthesis(content): + for i in range(1,len(code_line)): + content += "\n"+code_line[i] + if check_parenthesis(content): + break + code += content + else: + code += content return code def calls_to_code(self) -> str: @@ -90,6 +114,8 @@ def __init__(self, name: str): self.error: bool = False self.path: List[int] = [] self.func_name: List[str] = [] + self.matching: Dict[int, int] = {} + self.revert: Dict[int, int] = {} def clean(self): des_edges = {} @@ -104,6 +130,7 @@ def clean(self): if self.blocks[node].stmts_to_code(): current = node for next in des_edges[node]: + condition = self.edges[(node, next)] next_node = next while self.blocks[next_node].stmts_to_code() == '': if next_node not in blank_node: @@ -113,7 +140,7 @@ def clean(self): break next_node = des_edges[current][0] if (node, next_node) not in self.edges: - self.edges[(node, next_node)] = None + self.edges[(node, next_node)] = condition if next_node != node and next_node not in self.blocks[node].next: self.blocks[node].next.append(next_node) else: @@ -126,15 +153,34 @@ def clean(self): for node in blank_node: if node in self.blocks[i].next: self.blocks[i].next.remove(node) - + + def get_all_nodes(self): + nodes = self.blocks + for k, v in self.func_calls.items(): + nodes.update(v.get_all_nodes()) + return nodes + + def get_all_edges(self): + edges = self.edges + for k, v in self.func_calls.items(): + edges.update(v.get_all_edges()) + return edges + + def get_all_function_name(self): + functions = {} + for k, v in self.func_calls.items(): + functions[k] = v.start.bid + functions.update(v.get_all_function_name()) + return functions + def track_execution(self, filename, func_name = None): nodes = [] blocks = [] - matching = {} - revert = {} - for i in self.blocks: - if self.blocks[i].stmts_to_code(): - st = self.blocks[i].stmts_to_code() + self.revert = {} + all_nodes = self.get_all_nodes() + for i in all_nodes: + if all_nodes[i].stmts_to_code(): + st = all_nodes[i].stmts_to_code() st_no_space = re.sub(r"\s+", "", st) st_no_space = st_no_space.replace('"', "'") blocks.append(st_no_space) @@ -143,18 +189,21 @@ def track_execution(self, filename, func_name = None): st = st[3:] elif st.startswith('while'): st = st[6:] - if self.blocks[i].condition: + if all_nodes[i].condition: st = 'T '+ st nodes.append(st) - matching[i] = len(nodes) - revert[len(nodes)] = i + self.matching[i] = len(nodes) + self.revert[len(nodes)] = i + all_edges = self.get_all_edges() edges = {} - for edge in self.edges: - if matching[edge[0]] not in edges: - edges[matching[edge[0]]] = [matching[edge[1]]] + for edge in all_edges: + if self.matching[edge[0]] not in edges: + edges[self.matching[edge[0]]] = [self.matching[edge[1]]] else: - edges[matching[edge[0]]].append(matching[edge[1]]) + edges[self.matching[edge[0]]].append(self.matching[edge[1]]) t = trace_execution.Trace(ignoredirs=[sys.base_prefix, sys.base_exec_prefix,], + + trace=0, count=1) arguments = [] sys.argv = [filename, arguments] @@ -187,7 +236,6 @@ def track_execution(self, filename, func_name = None): if no_spaces.startswith("elif"): no_spaces = no_spaces[2:] execution_path.append(no_spaces) - check_True_condition = [] for i in range(len(execution_path)-1): if execution_path[i].startswith('if') or execution_path[i].startswith('while') or execution_path[i].startswith('for'): @@ -196,8 +244,8 @@ def track_execution(self, filename, func_name = None): current_node = 1 - true_execution = [revert[current_node]] - path = [revert[current_node]] + true_execution = [self.revert[current_node]] + path = [self.revert[current_node]] exit_flag = False for s in range(len(execution_path)): node = execution_path[s] @@ -209,17 +257,17 @@ def track_execution(self, filename, func_name = None): if len(edges[current_node]) == 2: if blocks[edges[current_node][0]-1] == blocks[edges[current_node][1]-1] == node: if (s-1) in check_True_condition: - if self.blocks[revert[edges[current_node][0]]].condition: + if all_nodes[self.revert[edges[current_node][0]]].condition: current_node = edges[current_node][0] else: current_node = edges[current_node][1] else: - if self.blocks[revert[edges[current_node][0]]].condition: + if all_nodes[self.revert[edges[current_node][0]]].condition: current_node = edges[current_node][1] else: current_node = edges[current_node][0] - if revert[current_node] not in path: - path.append(revert[current_node]) + if self.revert[current_node] not in path: + path.append(self.revert[current_node]) continue for next_node in edges[current_node]: c += 1 @@ -233,88 +281,210 @@ def track_execution(self, filename, func_name = None): if c == len(edges[current_node]): exit_flag = True raise Exception(f"Error: Cannot find the execution path in CFG in file {filename}") - true_execution.append(revert[current_node]) + true_execution.append(self.revert[current_node]) if exit_flag: break - if revert[current_node] not in path: - path.append(revert[current_node]) + if self.revert[current_node] not in path: + path.append(self.revert[current_node]) node_max = 0 - for i in self.blocks: + for i in all_nodes: if i > node_max: node_max = i path.append(node_max) self.path = path return true_execution, error + + def track_execution_new(self, source, func_name = None): + nodes = [] + blocks = [] + self.matching = {} + all_nodes = self.get_all_nodes() + for i in all_nodes: + if all_nodes[i].stmts_to_code(): + st = all_nodes[i].stmts_to_code() + st_no_space = re.sub(r"\s+", "", st) + st_no_space = st_no_space.replace('"', "'") + # remove ( and ) in st_no_space + st_no_space = st_no_space.replace('(', '').replace(')', '') + blocks.append(st_no_space) + # if start with if or while, delete these keywords + if st.startswith('if'): + st = st[3:] + elif st.startswith('while'): + st = st[6:] + if all_nodes[i].condition: + st = 'T '+ st + nodes.append(st) + self.matching[i] = len(nodes) + self.revert[len(nodes)] = i + + all_edges = self.get_all_edges() + edges = {} + for edge in all_edges: + if self.matching[edge[0]] not in edges: + edges[self.matching[edge[0]]] = [self.matching[edge[1]]] + else: + edges[self.matching[edge[0]]].append(self.matching[edge[1]]) + + all_functions = self.get_all_function_name() + for name in all_functions: + # if element in blocks contain name, then add all_functions[name] to edges + for i in range(len(blocks)): + if name in blocks[i]: + if i+1 not in edges: + edges[i+1] = [self.matching[all_functions[name]]] + else: + edges[i+1].append(self.matching[all_functions[name]]) + # Create the trace object (adjust the arguments as needed) + t = trace_execution.Trace( + ignoredirs=[sys.base_prefix, sys.base_exec_prefix], + trace=0, + count=1 + ) + + # Prepare the global namespace to emulate __main__ + globs = { + '__file__': "cfg.py", # Use to indicate code is from a string + '__name__': '__main__', + '__package__': None, + '__cached__': None, + } + # Compile the code from the `source` string + code = compile(source, "cfg.py", 'exec') + # with io.open_code('test_cfg.py') as fp: + # code = compile(fp.read(), filename, 'exec') - def _traverse(self, block: BasicBlock, visited: Set[int] = set(), calls: bool = True, error: bool = False) -> None: + error = False + try: + t.runctx(code, globs, globs) + except: + error = True + code_line = [element.lstrip() for element in source.split("\n")] + execution_path = [] + for lineno in t.exe_path: + no_spaces = re.sub(r"\s+", "", code_line[lineno-1]) + if no_spaces.startswith("assert"): + continue + if no_spaces.startswith(f'{func_name}('): + continue + if no_spaces.startswith("elif"): + no_spaces = no_spaces[2:] + if no_spaces.startswith("class"): + continue + # remove ( and ) in no_spaces + no_spaces = no_spaces.replace('(', '').replace(')', '') + execution_path.append(no_spaces) + for node in execution_path: + if node == "break" or node == "continue": + continue + if node not in blocks: + find = False + for i in range(len(blocks)): + if node in blocks[i]: + self.path.append(i+1) + find = True + break + if not find: + closest_match = difflib.get_close_matches(node, blocks, n=1, cutoff=0.1) + if closest_match: + index = blocks.index(closest_match[0]) + self.path.append(index+1) + else: + # get number of element in blocks that match with node + all_index = [i+1 for i, x in enumerate(blocks) if x == node] + if len(all_index) == 1: + self.path.append(all_index[0]) + else: + if self.path[-1] not in edges: + self.path.append(all_index[0]) + else: + find = False + for index in all_index: + if index in edges[self.path[-1]]: + self.path.append(index) + find = True + break + if not find: + # get the index closest to self.path[-1] + closest_index = min(all_index, key=lambda x: abs(x - self.path[-1])) + self.path.append(closest_index) + + return error + + def _traverse(self, block: BasicBlock, get_coverage: bool = False, get_execution: bool = False, visited: Set[int] = set(), calls: bool = True, error: bool = False, path: list[int] = list(), matching: Dict[int, int] = {}) -> None: + # Add block.bid to the node label if block.bid not in visited: visited.add(block.bid) - st = block.stmts_to_code() - + if get_execution: + st = f'{matching[block.bid]} \n' + st += block.stmts_to_code() + else: + st = block.stmts_to_code() # Check if the block is in the path and highlight it node_attributes = {'shape': 'ellipse'} - if block.bid in self.path: - if error: - node_attributes['color'] = 'red' - else: - node_attributes['color'] = 'green' - node_attributes['style'] = 'filled' + if get_coverage: + if matching[block.bid] in path: + if error: + node_attributes['color'] = 'red' + else: + node_attributes['color'] = 'green' + node_attributes['style'] = 'filled' self.graph.node(str(block.bid), label=st, _attributes=node_attributes) # block.next contain some duplicate values, only keep the unique values for next_bid in set(block.next): - self._traverse(self.blocks[next_bid], visited, calls=calls, error=error) + self._traverse(self.blocks[next_bid], get_coverage, get_execution, visited, calls=calls, error=error, path=path, matching=matching) self.graph.edge(str(block.bid), str(next_bid), label=self.edges[(block.bid, next_bid)] if type(self.edges[(block.bid, next_bid)]) == str else '') return visited - def _show(self, get_coverage: bool = False, fmt: str = 'png', calls: bool = True, node: int = 0, error: bool = False) -> gv.dot.Digraph: - self.graph = gv.Digraph(name='cluster_' + self.name, format=fmt) + def _show(self, get_coverage: bool = False, get_execution: bool = False, fmt: str = 'png', calls: bool = True, node: int = 0, error: bool = False, path: list[int] = list(), matching: Dict[int, int] = {}) -> gv.dot.Digraph: + if self.name.endswith('.py'): + self.graph = gv.Digraph(name='cluster_'+self.name, format=fmt ) + else: + self.graph = gv.Digraph(name='cluster_'+self.name, format=fmt, graph_attr={'label': self.name}) if node != 0: visited = set() - self.path = [node] - visited = self._traverse(self.start, visited, calls=calls, error=error) + visited = self._traverse(self.start, get_coverage, get_execution, visited, calls=calls, error=error, path=[node], matching=matching) else: - self._traverse(self.start, calls=calls) + self._traverse(self.start, get_coverage = get_coverage, get_execution = get_execution, calls=calls, path=path, matching=matching) for k, v in self.func_calls.items(): - if node == 0: - if get_coverage: - self.execution_path, self.error = v.track_execution(self.name, k) - self.graph.subgraph(v._show(False, fmt, calls)) - else: - self.graph.subgraph(v._show(False, fmt, calls, node, error)) + v.clean() + self.graph.subgraph(v._show(get_coverage, get_execution, fmt, calls, node, error, path, matching)) return self.graph - def show(self, get_coverage: bool = False ,filepath: str = './cfg', fmt: str = 'png', calls: bool = True) -> None: - self._show(get_coverage, fmt, calls) + def show(self, source: str, get_coverage: bool = False, get_execution: bool = False ,filepath: str = './cfg', fmt: str = 'png', calls: bool = True) -> None: + if get_coverage or get_execution: + self.error = self.track_execution_new(source=source) + self._show(get_coverage, get_execution, fmt, calls, path=self.path, matching=self.matching) self.graph.render(filepath, cleanup=True) - def show_execution(self, filepath: str = './cfg', fmt: str = 'png', calls: bool = True) -> None: - self._show(True, fmt, calls) + def show_execution(self, source: str, filepath: str = './execution', fmt: str = 'png', calls: bool = True) -> None: + self.error = self.track_execution_new(source=source) count = 1 - folder_path = "./execution" - if not os.path.exists(folder_path): - os.makedirs(folder_path) - for node in self.execution_path: + filepath = filepath + "_execution" + if not os.path.exists(filepath): + os.makedirs(filepath) + for node in self.path: self.graph = None - if count == len(self.execution_path): - self._show(False, fmt, calls, node, error=self.error) + if count == len(self.path): + self._show(True, False, fmt, calls, node, error=self.error, matching=self.matching) else: - self._show(False, fmt, calls, node) - filepath = f'{folder_path}/execution_{count}' - self.graph.render(filepath, cleanup=True) + self._show(True, False, fmt, calls, node, matching=self.matching) + save_path = f'{filepath}/execution_{count}' + self.graph.render(save_path, cleanup=True) count += 1 - png_files = os.listdir(folder_path) + png_files = os.listdir(filepath) png_files = sorted(png_files, key=lambda x: int(x.split('_')[1].split('.')[0])) images = [] for file_name in png_files: - file_path = os.path.join(folder_path, file_name) + file_path = os.path.join(filepath, file_name) images.append(Image.open(file_path)) # Save as GIF - gif_path = "./execution.gif" + gif_path = filepath + ".gif" images[0].save( gif_path, save_all=True, @@ -335,6 +505,7 @@ def __init__(self): super().__init__() self.count_for_loop = 0 self.loop_stack: List[BasicBlock] = [] + self.continue_stack: List[BasicBlock] = [] self.ifExp = False def build(self, name: str, tree: Type[ast.AST]) -> CFG: @@ -343,7 +514,7 @@ def build(self, name: str, tree: Type[ast.AST]) -> CFG: self.cfg.start = self.curr_block self.visit(tree) - self.remove_empty_blocks(self.cfg.start) + # self.remove_empty_blocks(self.cfg.start) return self.cfg def new_block(self) -> BasicBlock: @@ -378,6 +549,7 @@ def add_loop_block(self) -> BasicBlock: def add_subgraph(self, tree: Type[ast.AST]) -> None: self.cfg.func_name.append(tree.name) self.cfg.func_calls[tree.name] = CFGVisitor().build(tree.name, ast.Module(body=tree.body)) + self.cfg.func_calls[tree.name].clean() def add_condition(self, cond1: Optional[Type[ast.AST]], cond2: Optional[Type[ast.AST]]) -> Optional[Type[ast.AST]]: if cond1 and cond2: @@ -479,41 +651,41 @@ def get_function_name(self, node: Type[ast.AST]) -> str: def populate_body(self, body_list: List[Type[ast.AST]], to_bid: int) -> None: for child in body_list: self.visit(child) - # if type == "For": - # print(self.cfg.blocks.keys()) if not self.curr_block.next: self.add_edge(self.curr_block.bid, to_bid) # assert type check def visit_Assert(self, node): - self.add_stmt(self.curr_block, node) - # If the assertion fails, the current flow ends, so the fail block is a - # final block of the CFG. - # self.cfg.finalblocks.append(self.add_edge(self.curr_block.bid, self.new_block().bid, self.invert(node.test))) - # If the assertion is True, continue the flow of the program. - # success block - self.curr_block = self.add_edge(self.curr_block.bid, self.new_block().bid) - self.generic_visit(node) + # self.add_stmt(self.curr_block, node) + # # If the assertion fails, the current flow ends, so the fail block is a + # # final block of the CFG. + # # self.cfg.finalblocks.append(self.add_edge(self.curr_block.bid, self.new_block().bid, self.invert(node.test))) + # # If the assertion is True, continue the flow of the program. + # # success block + # self.curr_block = self.add_edge(self.curr_block.bid, self.new_block().bid) + # self.generic_visit(node) + pass # TODO: change all those registers to stacks! - def visit_Assign(self, node): - if type(node.value) in [ast.ListComp, ast.SetComp, ast.DictComp, ast.GeneratorExp, ast.Lambda] and len(node.targets) == 1 and type(node.targets[0]) == ast.Name: # is this entire statement necessary? - if type(node.value) == ast.ListComp: - self.add_stmt(self.curr_block, ast.Assign(targets=[ast.Name(id=node.targets[0].id, ctx=ast.Store())], value=ast.List(elts=[], ctx=ast.Load()))) - self.listCompReg = (node.targets[0].id, node.value) - elif type(node.value) == ast.SetComp: - self.add_stmt(self.curr_block, ast.Assign(targets=[ast.Name(id=node.targets[0].id, ctx=ast.Store())], value=ast.Call(func=ast.Name(id='set', ctx=ast.Load()), args=[], keywords=[]))) - self.setCompReg = (node.targets[0].id, node.value) - elif type(node.value) == ast.DictComp: - self.add_stmt(self.curr_block, ast.Assign(targets=[ast.Name(id=node.targets[0].id, ctx=ast.Store())], value=ast.Dict(keys=[], values=[]))) - self.dictCompReg = (node.targets[0].id, node.value) - elif type(node.value) == ast.GeneratorExp: - self.add_stmt(self.curr_block, ast.Assign(targets=[ast.Name(id=node.targets[0].id, ctx=ast.Store())], value=ast.Call(func=ast.Name(id='__' + node.targets[0].id + 'Generator__', ctx=ast.Load()), args=[], keywords=[]))) - self.genExpReg = (node.targets[0].id, node.value) - else: - self.lambdaReg = (node.targets[0].id, node.value) - else: - self.add_stmt(self.curr_block, node) + def visit_Assign(self, node): + #edit + # if type(node.value) in [ast.ListComp, ast.SetComp, ast.DictComp, ast.GeneratorExp, ast.Lambda] and len(node.targets) == 1 and type(node.targets[0]) == ast.Name: # is this entire statement necessary? + # if type(node.value) == ast.ListComp: + # self.add_stmt(self.curr_block, ast.Assign(targets=[ast.Name(id=node.targets[0].id, ctx=ast.Store())], value=ast.List(elts=[], ctx=ast.Load()))) + # self.listCompReg = (node.targets[0].id, node.value) + # elif type(node.value) == ast.SetComp: + # self.add_stmt(self.curr_block, ast.Assign(targets=[ast.Name(id=node.targets[0].id, ctx=ast.Store())], value=ast.Call(func=ast.Name(id='set', ctx=ast.Load()), args=[], keywords=[]))) + # self.setCompReg = (node.targets[0].id, node.value) + # elif type(node.value) == ast.DictComp: + # self.add_stmt(self.curr_block, ast.Assign(targets=[ast.Name(id=node.targets[0].id, ctx=ast.Store())], value=ast.Dict(keys=[], values=[]))) + # self.dictCompReg = (node.targets[0].id, node.value) + # elif type(node.value) == ast.GeneratorExp: + # self.add_stmt(self.curr_block, ast.Assign(targets=[ast.Name(id=node.targets[0].id, ctx=ast.Store())], value=ast.Call(func=ast.Name(id='__' + node.targets[0].id + 'Generator__', ctx=ast.Load()), args=[], keywords=[]))) + # self.genExpReg = (node.targets[0].id, node.value) + # else: + # self.lambdaReg = (node.targets[0].id, node.value) + # else: + self.add_stmt(self.curr_block, node) self.generic_visit(node) def visit_Await(self, node): @@ -532,7 +704,8 @@ def visit_Call(self, node): self.generic_visit(node) def visit_Continue(self, node): - pass + assert len(self.continue_stack), "Found continue not inside loop" + self.add_edge(self.curr_block.bid, self.continue_stack[-1].bid, ast.Continue()) def visit_DictComp_Rec(self, generators: List[Type[ast.AST]]) -> List[Type[ast.AST]]: if not generators: @@ -553,18 +726,20 @@ def visit_DictComp(self, node): # ignore the case when using set or dict comprehension or generator expression but the result is not assigned to a variable def visit_Expr(self, node): - if type(node.value) == ast.ListComp and type(node.value.elt) == ast.Call: - self.listCompReg = (None, node.value) - elif type(node.value) == ast.Lambda: - self.lambdaReg = ('Anonymous Function', node.value) - # elif type(node.value) == ast.Call and type(node.value.func) == ast.Lambda: - # self.lambdaReg = ('Anonymous Function', node.value.func) - else: - self.add_stmt(self.curr_block, node) + #edit + # if type(node.value) == ast.ListComp and type(node.value.elt) == ast.Call: + # self.listCompReg = (None, node.value) + # elif type(node.value) == ast.Lambda: + # self.lambdaReg = ('Anonymous Function', node.value) + # # elif type(node.value) == ast.Call and type(node.value.func) == ast.Lambda: + # # self.lambdaReg = ('Anonymous Function', node.value.func) + # else: + self.add_stmt(self.curr_block, node) self.generic_visit(node) def visit_For(self, node): loop_guard = self.add_loop_block() + self.continue_stack.append(loop_guard) self.curr_block = loop_guard self.add_stmt(self.curr_block, node) # New block for the body of the for-loop. @@ -592,6 +767,8 @@ def visit_For(self, node): # Continue building the CFG in the after-for block. self.curr_block = afterfor_block + self.continue_stack.pop() + self.loop_stack.pop() def visit_GeneratorExp_Rec(self, generators: List[Type[ast.AST]]) -> List[Type[ast.AST]]: if not generators: @@ -678,12 +855,13 @@ def visit_Raise(self, node): # ToDO: final blocks to be add def visit_Return(self, node): - if type(node.value) == ast.IfExp: - self.ifExp = True - self.generic_visit(node) - self.ifExp = False - else: - self.add_stmt(self.curr_block, node) + #edit + # if type(node.value) == ast.IfExp: + # self.ifExp = True + # self.generic_visit(node) + # self.ifExp = False + # else: + self.add_stmt(self.curr_block, node) # self.cfg.finalblocks.append(self.curr_block) # Continue in a new block but without any jump to it -> all code after # the return statement will not be included in the CFG. @@ -752,6 +930,7 @@ def visit_Try(self, node): def visit_While(self, node): loop_guard = self.add_loop_block() + self.continue_stack.append(loop_guard) self.curr_block = loop_guard self.add_stmt(loop_guard, node) # New block for the case where the test in the while is False. @@ -786,6 +965,7 @@ def visit_While(self, node): # Continue building the CFG in the after-while block. self.curr_block = afterwhile_block self.loop_stack.pop() + self.continue_stack.pop() def visit_Yield(self, node): self.curr_block = self.add_edge(self.curr_block.bid, self.new_block().bid) @@ -848,14 +1028,44 @@ def removeCommentsAndDocstrings(self): last_lineno = end_line self.script = out -def code2cfg(source: str, execution=False) -> str: +def generate_random_string(input_string, length=64): + # Ensure input_string is not empty to avoid ValueError + if not input_string: + raise ValueError("Input string must not be empty.") + + # Generate a random string of the specified length + random_string = ''.join(random.choice("abcdefghijklmnopqrstuvwxyz") for _ in range(length)) + return random_string + +def code2cfgimage(source: str, get_execution=False, get_coverage = False, filename = "cfg", random_file = False): + if random_file: + file_path = generate_random_string(source, 32) + file_path = f"/tmp/{file_path}" + else: + file_path = "./output_image/" + filename + parser = PyParser(source) parser.removeCommentsAndDocstrings() parser.formatCode() - cfg = CFGVisitor().build("ControlFlowGraph", ast.parse(parser.script)) + cfg = CFGVisitor().build("code.py", ast.parse(parser.script)) cfg.clean() - - + cfg.show(source= source, get_coverage = get_coverage, get_execution = get_execution, filepath = file_path) + return file_path + ".png", cfg.path + +def code2cfgvid(source: str, filename = "cfg", random_file = False): + if random_file: + file_path = generate_random_string(source, 32) + file_path = f"/tmp/{file_path}" + else: + file_path = "./output_image/" + filename + parser = PyParser(source) + parser.removeCommentsAndDocstrings() + parser.formatCode() + cfg = CFGVisitor().build("code.py", ast.parse(parser.script)) + cfg.clean() + cfg.show_execution(source = source, filepath = file_path) + return file_path + "_execution.gif", cfg.path + if __name__ == '__main__': filename = sys.argv[1] if "get_execution" in sys.argv: @@ -866,19 +1076,9 @@ def code2cfg(source: str, execution=False) -> str: get_coverage = True else: get_coverage = False - try: - source = open(filename, 'r').read() - compile(source, filename, 'exec') - except: - print('Error in source code') - exit(1) - parser = PyParser(source) - parser.removeCommentsAndDocstrings() - parser.formatCode() - cfg = CFGVisitor().build("ControlFlowGraph", ast.parse(parser.script)) - cfg.clean() + source = open(filename, 'r').read() if get_execution: - cfg.show_execution() + code2cfgvid(source) else: - cfg.show(get_coverage) + code2cfgimage(source, get_execution = get_execution, get_coverage = get_coverage) diff --git a/src/models/internvl2/configuration_intern_vit.py b/src/models/internvl2/configuration_intern_vit.py new file mode 100644 index 0000000..8c0a198 --- /dev/null +++ b/src/models/internvl2/configuration_intern_vit.py @@ -0,0 +1,120 @@ +# -------------------------------------------------------- +# InternVL +# Copyright (c) 2024 OpenGVLab +# Licensed under The MIT License [see LICENSE for details] +# -------------------------------------------------------- +import os +from typing import Union + +from transformers.configuration_utils import PretrainedConfig +from transformers.utils import logging + +logger = logging.get_logger(__name__) + + +class InternVisionConfig(PretrainedConfig): + r""" + This is the configuration class to store the configuration of a [`InternVisionModel`]. It is used to + instantiate a vision encoder according to the specified arguments, defining the model architecture. + + Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the + documentation from [`PretrainedConfig`] for more information. + + Args: + num_channels (`int`, *optional*, defaults to 3): + Number of color channels in the input images (e.g., 3 for RGB). + patch_size (`int`, *optional*, defaults to 14): + The size (resolution) of each patch. + image_size (`int`, *optional*, defaults to 224): + The size (resolution) of each image. + qkv_bias (`bool`, *optional*, defaults to `False`): + Whether to add a bias to the queries and values in the self-attention layers. + hidden_size (`int`, *optional*, defaults to 3200): + Dimensionality of the encoder layers and the pooler layer. + num_attention_heads (`int`, *optional*, defaults to 25): + Number of attention heads for each attention layer in the Transformer encoder. + intermediate_size (`int`, *optional*, defaults to 12800): + Dimensionality of the "intermediate" (i.e., feed-forward) layer in the Transformer encoder. + qk_normalization (`bool`, *optional*, defaults to `True`): + Whether to normalize the queries and keys in the self-attention layers. + num_hidden_layers (`int`, *optional*, defaults to 48): + Number of hidden layers in the Transformer encoder. + use_flash_attn (`bool`, *optional*, defaults to `True`): + Whether to use flash attention mechanism. + hidden_act (`str` or `function`, *optional*, defaults to `"gelu"`): + The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`, + `"relu"`, `"selu"` and `"gelu_new"` ``"gelu"` are supported. + layer_norm_eps (`float`, *optional*, defaults to 1e-6): + The epsilon used by the layer normalization layers. + dropout (`float`, *optional*, defaults to 0.0): + The dropout probability for all fully connected layers in the embeddings, encoder, and pooler. + drop_path_rate (`float`, *optional*, defaults to 0.0): + Dropout rate for stochastic depth. + attention_dropout (`float`, *optional*, defaults to 0.0): + The dropout ratio for the attention probabilities. + initializer_range (`float`, *optional*, defaults to 0.02): + The standard deviation of the truncated_normal_initializer for initializing all weight matrices. + initializer_factor (`float`, *optional*, defaults to 0.1): + A factor for layer scale. + """ + + model_type = 'intern_vit_6b' + + def __init__( + self, + num_channels=3, + patch_size=14, + image_size=224, + qkv_bias=False, + hidden_size=3200, + num_attention_heads=25, + intermediate_size=12800, + qk_normalization=True, + num_hidden_layers=48, + use_flash_attn=False, + hidden_act='gelu', + norm_type='rms_norm', + layer_norm_eps=1e-6, + dropout=0.0, + drop_path_rate=0.0, + attention_dropout=0.0, + initializer_range=0.02, + initializer_factor=0.1, + **kwargs, + ): + super().__init__(**kwargs) + + self.hidden_size = hidden_size + self.intermediate_size = intermediate_size + self.dropout = dropout + self.drop_path_rate = drop_path_rate + self.num_hidden_layers = num_hidden_layers + self.num_attention_heads = num_attention_heads + self.output_attentions = True + self.num_channels = num_channels + self.patch_size = patch_size + self.image_size = image_size + self.initializer_range = initializer_range + self.initializer_factor = initializer_factor + self.attention_dropout = attention_dropout + self.layer_norm_eps = layer_norm_eps + self.hidden_act = hidden_act + self.norm_type = norm_type + self.qkv_bias = qkv_bias + self.qk_normalization = qk_normalization + self.use_flash_attn = use_flash_attn + + @classmethod + def from_pretrained(cls, pretrained_model_name_or_path: Union[str, os.PathLike], **kwargs) -> 'PretrainedConfig': + config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs) + + if 'vision_config' in config_dict: + config_dict = config_dict['vision_config'] + + if 'model_type' in config_dict and hasattr(cls, 'model_type') and config_dict['model_type'] != cls.model_type: + logger.warning( + f"You are using a model of type {config_dict['model_type']} to instantiate a model of type " + f'{cls.model_type}. This is not supported for all configurations of models and can yield errors.' + ) + + return cls.from_dict(config_dict, **kwargs) diff --git a/src/models/internvl2/configuration_internlm2.py b/src/models/internvl2/configuration_internlm2.py new file mode 100644 index 0000000..282b13b --- /dev/null +++ b/src/models/internvl2/configuration_internlm2.py @@ -0,0 +1,150 @@ +# Copyright (c) The InternLM team and The HuggingFace Inc. team. All rights reserved. +# +# This code is based on transformers/src/transformers/models/llama/configuration_llama.py +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" InternLM2 model configuration""" + +from transformers.configuration_utils import PretrainedConfig +from transformers.utils import logging + +logger = logging.get_logger(__name__) + +INTERNLM2_PRETRAINED_CONFIG_ARCHIVE_MAP = {} + + +# Modified from transformers.model.llama.configuration_llama.LlamaConfig +class InternLM2Config(PretrainedConfig): + r""" + This is the configuration class to store the configuration of a [`InternLM2Model`]. It is used to instantiate + an InternLM2 model according to the specified arguments, defining the model architecture. Instantiating a + configuration with the defaults will yield a similar configuration to that of the InternLM2-7B. + + Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the + documentation from [`PretrainedConfig`] for more information. + + + Args: + vocab_size (`int`, *optional*, defaults to 32000): + Vocabulary size of the InternLM2 model. Defines the number of different tokens that can be represented by the + `inputs_ids` passed when calling [`InternLM2Model`] + hidden_size (`int`, *optional*, defaults to 4096): + Dimension of the hidden representations. + intermediate_size (`int`, *optional*, defaults to 11008): + Dimension of the MLP representations. + num_hidden_layers (`int`, *optional*, defaults to 32): + Number of hidden layers in the Transformer encoder. + num_attention_heads (`int`, *optional*, defaults to 32): + Number of attention heads for each attention layer in the Transformer encoder. + num_key_value_heads (`int`, *optional*): + This is the number of key_value heads that should be used to implement Grouped Query Attention. If + `num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if + `num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When + converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed + by meanpooling all the original heads within that group. For more details checkout [this + paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to + `num_attention_heads`. + hidden_act (`str` or `function`, *optional*, defaults to `"silu"`): + The non-linear activation function (function or string) in the decoder. + max_position_embeddings (`int`, *optional*, defaults to 2048): + The maximum sequence length that this model might ever be used with. Typically set this to something large + just in case (e.g., 512 or 1024 or 2048). + initializer_range (`float`, *optional*, defaults to 0.02): + The standard deviation of the truncated_normal_initializer for initializing all weight matrices. + rms_norm_eps (`float`, *optional*, defaults to 1e-12): + The epsilon used by the rms normalization layers. + use_cache (`bool`, *optional*, defaults to `True`): + Whether or not the model should return the last key/values attentions (not used by all models). Only + relevant if `config.is_decoder=True`. + tie_word_embeddings(`bool`, *optional*, defaults to `False`): + Whether to tie weight embeddings + Example: + + """ + model_type = 'internlm2' + _auto_class = 'AutoConfig' + + def __init__( # pylint: disable=W0102 + self, + vocab_size=103168, + hidden_size=4096, + intermediate_size=11008, + num_hidden_layers=32, + num_attention_heads=32, + num_key_value_heads=None, + hidden_act='silu', + max_position_embeddings=2048, + initializer_range=0.02, + rms_norm_eps=1e-6, + use_cache=True, + pad_token_id=0, + bos_token_id=1, + eos_token_id=2, + tie_word_embeddings=False, + bias=True, + rope_theta=10000, + rope_scaling=None, + attn_implementation='eager', + **kwargs, + ): + self.vocab_size = vocab_size + self.max_position_embeddings = max_position_embeddings + self.hidden_size = hidden_size + self.intermediate_size = intermediate_size + self.num_hidden_layers = num_hidden_layers + self.num_attention_heads = num_attention_heads + self.bias = bias + + if num_key_value_heads is None: + num_key_value_heads = num_attention_heads + self.num_key_value_heads = num_key_value_heads + + self.hidden_act = hidden_act + self.initializer_range = initializer_range + self.rms_norm_eps = rms_norm_eps + self.use_cache = use_cache + self.rope_theta = rope_theta + self.rope_scaling = rope_scaling + self._rope_scaling_validation() + + self.attn_implementation = attn_implementation + if self.attn_implementation is None: + self.attn_implementation = 'eager' + super().__init__( + pad_token_id=pad_token_id, + bos_token_id=bos_token_id, + eos_token_id=eos_token_id, + tie_word_embeddings=tie_word_embeddings, + **kwargs, + ) + + def _rope_scaling_validation(self): + """ + Validate the `rope_scaling` configuration. + """ + if self.rope_scaling is None: + return + + if not isinstance(self.rope_scaling, dict) or len(self.rope_scaling) != 2: + raise ValueError( + '`rope_scaling` must be a dictionary with with two fields, `type` and `factor`, ' + f'got {self.rope_scaling}' + ) + rope_scaling_type = self.rope_scaling.get('type', None) + rope_scaling_factor = self.rope_scaling.get('factor', None) + if rope_scaling_type is None or rope_scaling_type not in ['linear', 'dynamic']: + raise ValueError( + f"`rope_scaling`'s type field must be one of ['linear', 'dynamic'], got {rope_scaling_type}" + ) + if rope_scaling_factor is None or not isinstance(rope_scaling_factor, float) or rope_scaling_factor < 1.0: + raise ValueError(f"`rope_scaling`'s factor field must be a float >= 1, got {rope_scaling_factor}") diff --git a/src/models/internvl2/configuration_internvl_chat.py b/src/models/internvl2/configuration_internvl_chat.py new file mode 100644 index 0000000..b5a518b --- /dev/null +++ b/src/models/internvl2/configuration_internvl_chat.py @@ -0,0 +1,96 @@ +# -------------------------------------------------------- +# InternVL +# Copyright (c) 2024 OpenGVLab +# Licensed under The MIT License [see LICENSE for details] +# -------------------------------------------------------- + +import copy + +from transformers import AutoConfig, LlamaConfig +from transformers.configuration_utils import PretrainedConfig +from transformers.utils import logging + +from .configuration_intern_vit import InternVisionConfig +from .configuration_internlm2 import InternLM2Config + +logger = logging.get_logger(__name__) + + +class InternVLChatConfig(PretrainedConfig): + model_type = 'internvl_chat' + is_composition = True + + def __init__( + self, + vision_config=None, + llm_config=None, + use_backbone_lora=0, + use_llm_lora=0, + select_layer=-1, + force_image_size=None, + downsample_ratio=0.5, + template=None, + dynamic_image_size=False, + use_thumbnail=False, + ps_version='v1', + min_dynamic_patch=1, + max_dynamic_patch=6, + **kwargs): + super().__init__(**kwargs) + + if vision_config is None: + vision_config = {} + logger.info('vision_config is None. Initializing the InternVisionConfig with default values.') + + if llm_config is None: + llm_config = {} + logger.info('llm_config is None. Initializing the LlamaConfig config with default values (`LlamaConfig`).') + + self.vision_config = InternVisionConfig(**vision_config) + if llm_config['architectures'][0] == 'LlamaForCausalLM': + self.llm_config = LlamaConfig(**llm_config) + elif llm_config['architectures'][0] == 'InternLM2ForCausalLM': + self.llm_config = InternLM2Config(**llm_config) + else: + raise ValueError('Unsupported architecture: {}'.format(llm_config['architectures'][0])) + self.use_backbone_lora = use_backbone_lora + self.use_llm_lora = use_llm_lora + self.select_layer = select_layer + self.force_image_size = force_image_size + self.downsample_ratio = downsample_ratio + self.template = template + self.dynamic_image_size = dynamic_image_size + self.use_thumbnail = use_thumbnail + self.ps_version = ps_version # pixel shuffle version + self.min_dynamic_patch = min_dynamic_patch + self.max_dynamic_patch = max_dynamic_patch + + logger.info(f'vision_select_layer: {self.select_layer}') + logger.info(f'ps_version: {self.ps_version}') + logger.info(f'min_dynamic_patch: {self.min_dynamic_patch}') + logger.info(f'max_dynamic_patch: {self.max_dynamic_patch}') + + def to_dict(self): + """ + Serializes this instance to a Python dictionary. Override the default [`~PretrainedConfig.to_dict`]. + + Returns: + `Dict[str, any]`: Dictionary of all the attributes that make up this configuration instance, + """ + output = copy.deepcopy(self.__dict__) + output['vision_config'] = self.vision_config.to_dict() + output['llm_config'] = self.llm_config.to_dict() + output['model_type'] = self.__class__.model_type + output['use_backbone_lora'] = self.use_backbone_lora + output['use_llm_lora'] = self.use_llm_lora + output['select_layer'] = self.select_layer + output['force_image_size'] = self.force_image_size + output['downsample_ratio'] = self.downsample_ratio + output['template'] = self.template + output['dynamic_image_size'] = self.dynamic_image_size + output['use_thumbnail'] = self.use_thumbnail + output['ps_version'] = self.ps_version + output['min_dynamic_patch'] = self.min_dynamic_patch + output['max_dynamic_patch'] = self.max_dynamic_patch + + return output diff --git a/src/models/internvl2/conversation.py b/src/models/internvl2/conversation.py new file mode 100644 index 0000000..2fe37ad --- /dev/null +++ b/src/models/internvl2/conversation.py @@ -0,0 +1,393 @@ +""" +Conversation prompt templates. + +We kindly request that you import fastchat instead of copying this file if you wish to use it. +If you have changes in mind, please contribute back so the community can benefit collectively and continue to maintain these valuable templates. +""" + +import dataclasses +from enum import IntEnum, auto +from typing import Any, Dict, List, Tuple, Union + + +class SeparatorStyle(IntEnum): + """Separator styles.""" + + ADD_COLON_SINGLE = auto() + ADD_COLON_TWO = auto() + ADD_COLON_SPACE_SINGLE = auto() + NO_COLON_SINGLE = auto() + NO_COLON_TWO = auto() + ADD_NEW_LINE_SINGLE = auto() + LLAMA2 = auto() + CHATGLM = auto() + CHATML = auto() + CHATINTERN = auto() + DOLLY = auto() + RWKV = auto() + PHOENIX = auto() + ROBIN = auto() + FALCON_CHAT = auto() + CHATGLM3 = auto() + INTERNVL_ZH = auto() + MPT = auto() + + +@dataclasses.dataclass +class Conversation: + """A class that manages prompt templates and keeps all conversation history.""" + + # The name of this template + name: str + # The template of the system prompt + system_template: str = '{system_message}' + # The system message + system_message: str = '' + # The names of two roles + roles: Tuple[str] = ('USER', 'ASSISTANT') + # All messages. Each item is (role, message). + messages: List[List[str]] = () + # The number of few shot examples + offset: int = 0 + # The separator style and configurations + sep_style: SeparatorStyle = SeparatorStyle.ADD_COLON_SINGLE + sep: str = '\n' + sep2: str = None + # Stop criteria (the default one is EOS token) + stop_str: Union[str, List[str]] = None + # Stops generation if meeting any token in this list + stop_token_ids: List[int] = None + + def get_prompt(self) -> str: + """Get the prompt for generation.""" + system_prompt = self.system_template.format(system_message=self.system_message) + if self.sep_style == SeparatorStyle.ADD_COLON_SINGLE: + ret = system_prompt + self.sep + for role, message in self.messages: + if message: + ret += role + ': ' + message + self.sep + else: + ret += role + ':' + return ret + elif self.sep_style == SeparatorStyle.ADD_COLON_TWO: + seps = [self.sep, self.sep2] + ret = system_prompt + seps[0] + for i, (role, message) in enumerate(self.messages): + if message: + ret += role + ': ' + message + seps[i % 2] + else: + ret += role + ':' + return ret + elif self.sep_style == SeparatorStyle.ADD_COLON_SPACE_SINGLE: + ret = system_prompt + self.sep + for role, message in self.messages: + if message: + ret += role + ': ' + message + self.sep + else: + ret += role + ': ' # must be end with a space + return ret + elif self.sep_style == SeparatorStyle.ADD_NEW_LINE_SINGLE: + ret = '' if system_prompt == '' else system_prompt + self.sep + for role, message in self.messages: + if message: + ret += role + '\n' + message + self.sep + else: + ret += role + '\n' + return ret + elif self.sep_style == SeparatorStyle.NO_COLON_SINGLE: + ret = system_prompt + for role, message in self.messages: + if message: + ret += role + message + self.sep + else: + ret += role + return ret + elif self.sep_style == SeparatorStyle.NO_COLON_TWO: + seps = [self.sep, self.sep2] + ret = system_prompt + for i, (role, message) in enumerate(self.messages): + if message: + ret += role + message + seps[i % 2] + else: + ret += role + return ret + elif self.sep_style == SeparatorStyle.RWKV: + ret = system_prompt + for i, (role, message) in enumerate(self.messages): + if message: + ret += ( + role + + ': ' + + message.replace('\r\n', '\n').replace('\n\n', '\n') + ) + ret += '\n\n' + else: + ret += role + ':' + return ret + elif self.sep_style == SeparatorStyle.LLAMA2: + seps = [self.sep, self.sep2] + if self.system_message: + ret = system_prompt + else: + ret = '[INST] ' + for i, (role, message) in enumerate(self.messages): + tag = self.roles[i % 2] + if message: + if i == 0: + ret += message + ' ' + else: + ret += tag + ' ' + message + seps[i % 2] + else: + ret += tag + return ret + elif self.sep_style == SeparatorStyle.CHATGLM: + # source: https://huggingface.co/THUDM/chatglm-6b/blob/1d240ba371910e9282298d4592532d7f0f3e9f3e/modeling_chatglm.py#L1302-L1308 + # source2: https://huggingface.co/THUDM/chatglm2-6b/blob/e186c891cf64310ac66ef10a87e6635fa6c2a579/modeling_chatglm.py#L926 + round_add_n = 1 if self.name == 'chatglm2' else 0 + if system_prompt: + ret = system_prompt + self.sep + else: + ret = '' + + for i, (role, message) in enumerate(self.messages): + if i % 2 == 0: + ret += f'[Round {i//2 + round_add_n}]{self.sep}' + + if message: + ret += f'{role}:{message}{self.sep}' + else: + ret += f'{role}:' + return ret + elif self.sep_style == SeparatorStyle.CHATML: + ret = '' if system_prompt == '' else system_prompt + self.sep + '\n' + for role, message in self.messages: + if message: + ret += role + '\n' + message + self.sep + '\n' + else: + ret += role + '\n' + return ret + elif self.sep_style == SeparatorStyle.CHATGLM3: + ret = '' + if self.system_message: + ret += system_prompt + for role, message in self.messages: + if message: + ret += role + '\n' + ' ' + message + else: + ret += role + return ret + elif self.sep_style == SeparatorStyle.CHATINTERN: + # source: https://huggingface.co/internlm/internlm-chat-7b-8k/blob/bd546fa984b4b0b86958f56bf37f94aa75ab8831/modeling_internlm.py#L771 + seps = [self.sep, self.sep2] + ret = system_prompt + for i, (role, message) in enumerate(self.messages): + # if i % 2 == 0: + # ret += "" + if message: + ret += role + ':' + message + seps[i % 2] + '\n' + else: + ret += role + ':' + return ret + elif self.sep_style == SeparatorStyle.DOLLY: + seps = [self.sep, self.sep2] + ret = system_prompt + for i, (role, message) in enumerate(self.messages): + if message: + ret += role + ':\n' + message + seps[i % 2] + if i % 2 == 1: + ret += '\n\n' + else: + ret += role + ':\n' + return ret + elif self.sep_style == SeparatorStyle.PHOENIX: + ret = system_prompt + for role, message in self.messages: + if message: + ret += role + ': ' + '' + message + '' + else: + ret += role + ': ' + '' + return ret + elif self.sep_style == SeparatorStyle.ROBIN: + ret = system_prompt + self.sep + for role, message in self.messages: + if message: + ret += role + ':\n' + message + self.sep + else: + ret += role + ':\n' + return ret + elif self.sep_style == SeparatorStyle.FALCON_CHAT: + ret = '' + if self.system_message: + ret += system_prompt + self.sep + for role, message in self.messages: + if message: + ret += role + ': ' + message + self.sep + else: + ret += role + ':' + + return ret + elif self.sep_style == SeparatorStyle.INTERNVL_ZH: + seps = [self.sep, self.sep2] + ret = self.system_message + seps[0] + for i, (role, message) in enumerate(self.messages): + if message: + ret += role + ': ' + message + seps[i % 2] + else: + ret += role + ':' + return ret + elif self.sep_style == SeparatorStyle.MPT: + ret = system_prompt + self.sep + for role, message in self.messages: + if message: + if type(message) is tuple: + message, _, _ = message + ret += role + message + self.sep + else: + ret += role + return ret + else: + raise ValueError(f'Invalid style: {self.sep_style}') + + def set_system_message(self, system_message: str): + """Set the system message.""" + self.system_message = system_message + + def append_message(self, role: str, message: str): + """Append a new message.""" + self.messages.append([role, message]) + + def update_last_message(self, message: str): + """Update the last output. + + The last message is typically set to be None when constructing the prompt, + so we need to update it in-place after getting the response from a model. + """ + self.messages[-1][1] = message + + def to_gradio_chatbot(self): + """Convert the conversation to gradio chatbot format.""" + ret = [] + for i, (role, msg) in enumerate(self.messages[self.offset :]): + if i % 2 == 0: + ret.append([msg, None]) + else: + ret[-1][-1] = msg + return ret + + def to_openai_api_messages(self): + """Convert the conversation to OpenAI chat completion format.""" + ret = [{'role': 'system', 'content': self.system_message}] + + for i, (_, msg) in enumerate(self.messages[self.offset :]): + if i % 2 == 0: + ret.append({'role': 'user', 'content': msg}) + else: + if msg is not None: + ret.append({'role': 'assistant', 'content': msg}) + return ret + + def copy(self): + return Conversation( + name=self.name, + system_template=self.system_template, + system_message=self.system_message, + roles=self.roles, + messages=[[x, y] for x, y in self.messages], + offset=self.offset, + sep_style=self.sep_style, + sep=self.sep, + sep2=self.sep2, + stop_str=self.stop_str, + stop_token_ids=self.stop_token_ids, + ) + + def dict(self): + return { + 'template_name': self.name, + 'system_message': self.system_message, + 'roles': self.roles, + 'messages': self.messages, + 'offset': self.offset, + } + + +# A global registry for all conversation templates +conv_templates: Dict[str, Conversation] = {} + + +def register_conv_template(template: Conversation, override: bool = False): + """Register a new conversation template.""" + if not override: + assert ( + template.name not in conv_templates + ), f'{template.name} has been registered.' + + conv_templates[template.name] = template + + +def get_conv_template(name: str) -> Conversation: + """Get a conversation template.""" + return conv_templates[name].copy() + + +# Both Hermes-2 and internlm2-chat are chatml-format conversation templates. The difference +# is that during training, the preprocessing function for the Hermes-2 template doesn't add +# at the beginning of the tokenized sequence, while the internlm2-chat template does. +# Therefore, they are completely equivalent during inference. +register_conv_template( + Conversation( + name='Hermes-2', + system_template='<|im_start|>system\n{system_message}', + # note: The new system prompt was not used here to avoid changes in benchmark performance. + # system_message='我是书生·万象,英文名是InternVL,是由上海人工智能实验室、清华大学及多家合作单位联合开发的多模态大语言模型。', + system_message='你是由上海人工智能实验室联合商汤科技开发的书生多模态大模型,英文名叫InternVL, 是一个有用无害的人工智能助手。', + roles=('<|im_start|>user\n', '<|im_start|>assistant\n'), + sep_style=SeparatorStyle.MPT, + sep='<|im_end|>', + stop_token_ids=[ + 2, + 6, + 7, + 8, + ], + stop_str='<|endoftext|>', + ) +) + + +register_conv_template( + Conversation( + name='internlm2-chat', + system_template='<|im_start|>system\n{system_message}', + # note: The new system prompt was not used here to avoid changes in benchmark performance. + # system_message='我是书生·万象,英文名是InternVL,是由上海人工智能实验室、清华大学及多家合作单位联合开发的多模态大语言模型。', + system_message='你是由上海人工智能实验室联合商汤科技开发的书生多模态大模型,英文名叫InternVL, 是一个有用无害的人工智能助手。', + roles=('<|im_start|>user\n', '<|im_start|>assistant\n'), + sep_style=SeparatorStyle.MPT, + sep='<|im_end|>', + stop_token_ids=[ + 2, + 92543, + 92542 + ] + ) +) + + +register_conv_template( + Conversation( + name='phi3-chat', + system_template='<|system|>\n{system_message}', + # note: The new system prompt was not used here to avoid changes in benchmark performance. + # system_message='我是书生·万象,英文名是InternVL,是由上海人工智能实验室、清华大学及多家合作单位联合开发的多模态大语言模型。', + system_message='你是由上海人工智能实验室联合商汤科技开发的书生多模态大模型,英文名叫InternVL, 是一个有用无害的人工智能助手。', + roles=('<|user|>\n', '<|assistant|>\n'), + sep_style=SeparatorStyle.MPT, + sep='<|end|>', + stop_token_ids=[ + 2, + 32000, + 32007 + ] + ) +) diff --git a/src/models/internvl2/modeling_intern_vit.py b/src/models/internvl2/modeling_intern_vit.py new file mode 100644 index 0000000..a84dd41 --- /dev/null +++ b/src/models/internvl2/modeling_intern_vit.py @@ -0,0 +1,437 @@ +# -------------------------------------------------------- +# InternVL +# Copyright (c) 2024 OpenGVLab +# Licensed under The MIT License [see LICENSE for details] +# -------------------------------------------------------- +from typing import Optional, Tuple, Union + +import torch +import torch.nn.functional as F +import torch.utils.checkpoint +from einops import rearrange +from timm.models.layers import DropPath +from torch import nn +from transformers.activations import ACT2FN +from transformers.modeling_outputs import (BaseModelOutput, + BaseModelOutputWithPooling) +from transformers.modeling_utils import PreTrainedModel +from transformers.utils import logging + +from .configuration_intern_vit import InternVisionConfig + +try: + from flash_attn.bert_padding import pad_input, unpad_input + from flash_attn.flash_attn_interface import \ + flash_attn_varlen_qkvpacked_func + has_flash_attn = True +except: + print('FlashAttention2 is not installed.') + has_flash_attn = False + +logger = logging.get_logger(__name__) + + +class FlashAttention(nn.Module): + """Implement the scaled dot product attention with softmax. + Arguments + --------- + softmax_scale: The temperature to use for the softmax attention. + (default: 1/sqrt(d_keys) where d_keys is computed at + runtime) + attention_dropout: The dropout rate to apply to the attention + (default: 0.0) + """ + + def __init__(self, softmax_scale=None, attention_dropout=0.0, device=None, dtype=None): + super().__init__() + self.softmax_scale = softmax_scale + self.dropout_p = attention_dropout + + def forward(self, qkv, key_padding_mask=None, causal=False, cu_seqlens=None, + max_s=None, need_weights=False): + """Implements the multihead softmax attention. + Arguments + --------- + qkv: The tensor containing the query, key, and value. (B, S, 3, H, D) if key_padding_mask is None + if unpadded: (nnz, 3, h, d) + key_padding_mask: a bool tensor of shape (B, S) + """ + assert not need_weights + assert qkv.dtype in [torch.float16, torch.bfloat16] + assert qkv.is_cuda + + if cu_seqlens is None: + batch_size = qkv.shape[0] + seqlen = qkv.shape[1] + if key_padding_mask is None: + qkv = rearrange(qkv, 'b s ... -> (b s) ...') + max_s = seqlen + cu_seqlens = torch.arange(0, (batch_size + 1) * seqlen, step=seqlen, dtype=torch.int32, + device=qkv.device) + output = flash_attn_varlen_qkvpacked_func( + qkv, cu_seqlens, max_s, self.dropout_p if self.training else 0.0, + softmax_scale=self.softmax_scale, causal=causal + ) + output = rearrange(output, '(b s) ... -> b s ...', b=batch_size) + else: + nheads = qkv.shape[-2] + x = rearrange(qkv, 'b s three h d -> b s (three h d)') + x_unpad, indices, cu_seqlens, max_s = unpad_input(x, key_padding_mask) + x_unpad = rearrange(x_unpad, 'nnz (three h d) -> nnz three h d', three=3, h=nheads) + output_unpad = flash_attn_varlen_qkvpacked_func( + x_unpad, cu_seqlens, max_s, self.dropout_p if self.training else 0.0, + softmax_scale=self.softmax_scale, causal=causal + ) + output = rearrange(pad_input(rearrange(output_unpad, 'nnz h d -> nnz (h d)'), + indices, batch_size, seqlen), + 'b s (h d) -> b s h d', h=nheads) + else: + assert max_s is not None + output = flash_attn_varlen_qkvpacked_func( + qkv, cu_seqlens, max_s, self.dropout_p if self.training else 0.0, + softmax_scale=self.softmax_scale, causal=causal + ) + + return output, None + + +class InternRMSNorm(nn.Module): + def __init__(self, hidden_size, eps=1e-6): + super().__init__() + self.weight = nn.Parameter(torch.ones(hidden_size)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + input_dtype = hidden_states.dtype + hidden_states = hidden_states.to(torch.float32) + variance = hidden_states.pow(2).mean(-1, keepdim=True) + hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) + return self.weight * hidden_states.to(input_dtype) + + +try: + from apex.normalization import FusedRMSNorm + + InternRMSNorm = FusedRMSNorm # noqa + + logger.info('Discovered apex.normalization.FusedRMSNorm - will use it instead of InternRMSNorm') +except ImportError: + # using the normal InternRMSNorm + pass +except Exception: + logger.warning('discovered apex but it failed to load, falling back to InternRMSNorm') + pass + + +NORM2FN = { + 'rms_norm': InternRMSNorm, + 'layer_norm': nn.LayerNorm, +} + + +class InternVisionEmbeddings(nn.Module): + def __init__(self, config: InternVisionConfig): + super().__init__() + self.config = config + self.embed_dim = config.hidden_size + self.image_size = config.image_size + self.patch_size = config.patch_size + + self.class_embedding = nn.Parameter( + torch.randn(1, 1, self.embed_dim), + ) + + self.patch_embedding = nn.Conv2d( + in_channels=3, out_channels=self.embed_dim, kernel_size=self.patch_size, stride=self.patch_size + ) + + self.num_patches = (self.image_size // self.patch_size) ** 2 + self.num_patches_per_side = self.image_size // self.patch_size + self.num_positions = self.num_patches + 1 + + self.position_embedding = nn.Parameter(torch.randn(1, self.num_positions, self.embed_dim)) + + def _get_pos_embed(self, pos_embed, H, W): + target_dtype = pos_embed.dtype + pos_embed = pos_embed.float().reshape( + 1, self.image_size // self.patch_size, self.image_size // self.patch_size, -1).permute(0, 3, 1, 2) + pos_embed = F.interpolate(pos_embed, size=(H, W), mode='bicubic', align_corners=False). \ + reshape(1, -1, H * W).permute(0, 2, 1).to(target_dtype) + return pos_embed + + def forward(self, pixel_values: torch.FloatTensor) -> torch.Tensor: + target_dtype = self.patch_embedding.weight.dtype + patch_embeds = self.patch_embedding(pixel_values) # shape = [*, channel, width, height] + batch_size, _, height, width = patch_embeds.shape + patch_embeds = patch_embeds.flatten(2).transpose(1, 2) + class_embeds = self.class_embedding.expand(batch_size, 1, -1).to(target_dtype) + embeddings = torch.cat([class_embeds, patch_embeds], dim=1) + position_embedding = torch.cat([ + self.position_embedding[:, :1, :], + self._get_pos_embed(self.position_embedding[:, 1:, :], height, width) + ], dim=1) + embeddings = embeddings + position_embedding.to(target_dtype) + return embeddings + + +class InternAttention(nn.Module): + """Multi-headed attention from 'Attention Is All You Need' paper""" + + def __init__(self, config: InternVisionConfig): + super().__init__() + self.config = config + self.embed_dim = config.hidden_size + self.num_heads = config.num_attention_heads + self.use_flash_attn = config.use_flash_attn and has_flash_attn + if config.use_flash_attn and not has_flash_attn: + print('Warning: Flash Attention is not available, use_flash_attn is set to False.') + self.head_dim = self.embed_dim // self.num_heads + if self.head_dim * self.num_heads != self.embed_dim: + raise ValueError( + f'embed_dim must be divisible by num_heads (got `embed_dim`: {self.embed_dim} and `num_heads`:' + f' {self.num_heads}).' + ) + + self.scale = self.head_dim ** -0.5 + self.qkv = nn.Linear(self.embed_dim, 3 * self.embed_dim, bias=config.qkv_bias) + self.attn_drop = nn.Dropout(config.attention_dropout) + self.proj_drop = nn.Dropout(config.dropout) + + self.qk_normalization = config.qk_normalization + + if self.qk_normalization: + self.q_norm = InternRMSNorm(self.embed_dim, eps=config.layer_norm_eps) + self.k_norm = InternRMSNorm(self.embed_dim, eps=config.layer_norm_eps) + + if self.use_flash_attn: + self.inner_attn = FlashAttention(attention_dropout=config.attention_dropout) + self.proj = nn.Linear(self.embed_dim, self.embed_dim) + + def _naive_attn(self, x): + B, N, C = x.shape + qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + q, k, v = qkv.unbind(0) # make torchscript happy (cannot use tensor as tuple) + + if self.qk_normalization: + B_, H_, N_, D_ = q.shape + q = self.q_norm(q.transpose(1, 2).flatten(-2, -1)).view(B_, N_, H_, D_).transpose(1, 2) + k = self.k_norm(k.transpose(1, 2).flatten(-2, -1)).view(B_, N_, H_, D_).transpose(1, 2) + + attn = ((q * self.scale) @ k.transpose(-2, -1)) + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = (attn @ v).transpose(1, 2).reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + return (x, attn) if self.config.output_attentions else (x,) + + def _flash_attn(self, x, key_padding_mask=None, need_weights=False): + qkv = self.qkv(x) + qkv = rearrange(qkv, 'b s (three h d) -> b s three h d', three=3, h=self.num_heads) + + if self.qk_normalization: + q, k, v = qkv.unbind(2) + q = self.q_norm(q.flatten(-2, -1)).view(q.shape) + k = self.k_norm(k.flatten(-2, -1)).view(k.shape) + qkv = torch.stack([q, k, v], dim=2) + + context, _ = self.inner_attn( + qkv, key_padding_mask=key_padding_mask, need_weights=need_weights, causal=False + ) + outs = self.proj(rearrange(context, 'b s h d -> b s (h d)')) + outs = self.proj_drop(outs) + return outs + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + x = self._naive_attn(hidden_states) if not self.use_flash_attn else self._flash_attn(hidden_states) + return x + + +class InternMLP(nn.Module): + def __init__(self, config: InternVisionConfig): + super().__init__() + self.config = config + self.act = ACT2FN[config.hidden_act] + self.fc1 = nn.Linear(config.hidden_size, config.intermediate_size) + self.fc2 = nn.Linear(config.intermediate_size, config.hidden_size) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + hidden_states = self.fc1(hidden_states) + hidden_states = self.act(hidden_states) + hidden_states = self.fc2(hidden_states) + return hidden_states + + +class InternVisionEncoderLayer(nn.Module): + def __init__(self, config: InternVisionConfig, drop_path_rate: float): + super().__init__() + self.embed_dim = config.hidden_size + self.intermediate_size = config.intermediate_size + self.norm_type = config.norm_type + + self.attn = InternAttention(config) + self.mlp = InternMLP(config) + self.norm1 = NORM2FN[self.norm_type](self.embed_dim, eps=config.layer_norm_eps) + self.norm2 = NORM2FN[self.norm_type](self.embed_dim, eps=config.layer_norm_eps) + + self.ls1 = nn.Parameter(config.initializer_factor * torch.ones(self.embed_dim)) + self.ls2 = nn.Parameter(config.initializer_factor * torch.ones(self.embed_dim)) + self.drop_path1 = DropPath(drop_path_rate) if drop_path_rate > 0. else nn.Identity() + self.drop_path2 = DropPath(drop_path_rate) if drop_path_rate > 0. else nn.Identity() + + def forward( + self, + hidden_states: torch.Tensor, + ) -> Tuple[torch.FloatTensor, Optional[torch.FloatTensor], Optional[Tuple[torch.FloatTensor]]]: + """ + Args: + hidden_states (`Tuple[torch.FloatTensor, Optional[torch.FloatTensor]]`): input to the layer of shape `(batch, seq_len, embed_dim)` + """ + outputs = self.attn(self.norm1(hidden_states).to(hidden_states.dtype)) + x = outputs[0] + attn = outputs[1] if len(outputs) > 1 else None + hidden_states = hidden_states + self.drop_path1(x* self.ls1) + + hidden_states = hidden_states + self.drop_path2(self.mlp(self.norm2(hidden_states).to(hidden_states.dtype)) * self.ls2) + + return hidden_states, attn + + +class InternVisionEncoder(nn.Module): + """ + Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a + [`InternEncoderLayer`]. + + Args: + config (`InternConfig`): + The corresponding vision configuration for the `InternEncoder`. + """ + + def __init__(self, config: InternVisionConfig): + super().__init__() + self.config = config + # stochastic depth decay rule + dpr = [x.item() for x in torch.linspace(0, config.drop_path_rate, config.num_hidden_layers)] + self.layers = nn.ModuleList([ + InternVisionEncoderLayer(config, dpr[idx]) for idx in range(config.num_hidden_layers)]) + self.gradient_checkpointing = True + + def forward( + self, + inputs_embeds, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutput]: + r""" + Args: + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`): + Embedded representation of the inputs. Should be float, not int tokens. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors + for more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. + """ + output_hidden_states = ( + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + encoder_states = () if output_hidden_states else None + attentions = () + hidden_states = inputs_embeds + + for idx, encoder_layer in enumerate(self.layers): + if output_hidden_states: + encoder_states = encoder_states + (hidden_states,) + if self.gradient_checkpointing and self.training: + layer_outputs, attn = torch.utils.checkpoint.checkpoint( + encoder_layer, + hidden_states) + else: + layer_outputs, attn = encoder_layer( + hidden_states, + ) + hidden_states = layer_outputs + + if output_hidden_states: + encoder_states = encoder_states + (hidden_states,) + attentions = attentions + (attn,) + + if not return_dict: + return tuple(v for v in [hidden_states, encoder_states] if v is not None) + return BaseModelOutput( + last_hidden_state=hidden_states, hidden_states=encoder_states, attentions=attentions + ) + + +class InternVisionModel(PreTrainedModel): + main_input_name = 'pixel_values' + _supports_flash_attn_2 = True + config_class = InternVisionConfig + _no_split_modules = ['InternVisionEncoderLayer'] + + def __init__(self, config: InternVisionConfig): + super().__init__(config) + self.config = config + + self.embeddings = InternVisionEmbeddings(config) + self.encoder = InternVisionEncoder(config) + self.image_attentions = [] + + def resize_pos_embeddings(self, old_size, new_size, patch_size): + pos_emb = self.embeddings.position_embedding + _, num_positions, embed_dim = pos_emb.shape + cls_emb = pos_emb[:, :1, :] + pos_emb = pos_emb[:, 1:, :].reshape(1, old_size // patch_size, old_size // patch_size, -1).permute(0, 3, 1, 2) + pos_emb = F.interpolate(pos_emb.float(), size=new_size // patch_size, mode='bicubic', align_corners=False) + pos_emb = pos_emb.to(cls_emb.dtype).reshape(1, embed_dim, -1).permute(0, 2, 1) + pos_emb = torch.cat([cls_emb, pos_emb], dim=1) + self.embeddings.position_embedding = nn.Parameter(pos_emb) + self.embeddings.image_size = new_size + logger.info('Resized position embeddings from {} to {}'.format(old_size, new_size)) + + def get_input_embeddings(self): + return self.embeddings + + def forward( + self, + pixel_values: Optional[torch.FloatTensor] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + pixel_embeds: Optional[torch.FloatTensor] = None, + ) -> Union[Tuple, BaseModelOutputWithPooling]: + output_hidden_states = ( + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + if pixel_values is None and pixel_embeds is None: + raise ValueError('You have to specify pixel_values or pixel_embeds') + + if pixel_embeds is not None: + hidden_states = pixel_embeds + else: + if len(pixel_values.shape) == 4: + hidden_states = self.embeddings(pixel_values) + else: + raise ValueError(f'wrong pixel_values size: {pixel_values.shape}') + encoder_outputs = self.encoder( + inputs_embeds=hidden_states, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + last_hidden_state = encoder_outputs.last_hidden_state + self.image_attentions = encoder_outputs.attentions + pooled_output = last_hidden_state[:, 0, :] + + if not return_dict: + return (last_hidden_state, pooled_output) + encoder_outputs[1:] + + return BaseModelOutputWithPooling( + last_hidden_state=last_hidden_state, + pooler_output=pooled_output, + hidden_states=encoder_outputs.hidden_states, + attentions=encoder_outputs.attentions, + ) diff --git a/src/models/internvl2/modeling_internlm2.py b/src/models/internvl2/modeling_internlm2.py new file mode 100644 index 0000000..2527cd4 --- /dev/null +++ b/src/models/internvl2/modeling_internlm2.py @@ -0,0 +1,1415 @@ +# Copyright (c) The InternLM team and The HuggingFace Inc. team. All rights reserved. +# +# This code is based on transformers/src/transformers/models/llama/modeling_llama.py +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" PyTorch InternLM2 model.""" +import math +import queue +import threading +import warnings +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn.functional as F +import torch.utils.checkpoint +from einops import rearrange +from torch import nn +from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss +from transformers.activations import ACT2FN +from transformers.modeling_outputs import (BaseModelOutputWithPast, + CausalLMOutputWithPast, + SequenceClassifierOutputWithPast) +from transformers.modeling_utils import PreTrainedModel +from transformers.utils import (add_start_docstrings, + add_start_docstrings_to_model_forward, logging, + replace_return_docstrings) + +try: + from transformers.generation.streamers import BaseStreamer +except: # noqa # pylint: disable=bare-except + BaseStreamer = None + +from .configuration_internlm2 import InternLM2Config + +logger = logging.get_logger(__name__) + +_CONFIG_FOR_DOC = 'InternLM2Config' + +flash_attn_func, flash_attn_varlen_func = None, None +pad_input, index_first_axis, unpad_input = None, None, None +try: + from flash_attn import flash_attn_func as _flash_attn_func + from flash_attn import flash_attn_varlen_func as _flash_attn_varlen_func + from flash_attn.bert_padding import index_first_axis as _index_first_axis + from flash_attn.bert_padding import pad_input as _pad_input + from flash_attn.bert_padding import unpad_input as _unpad_input + + flash_attn_func, flash_attn_varlen_func = _flash_attn_func, _flash_attn_varlen_func + pad_input, index_first_axis, unpad_input = _pad_input, _index_first_axis, _unpad_input + has_flash_attn = True +except: + has_flash_attn = False + + +def _import_flash_attn(): + global flash_attn_func, flash_attn_varlen_func + global pad_input, index_first_axis, unpad_input + try: + from flash_attn import flash_attn_func as _flash_attn_func + from flash_attn import \ + flash_attn_varlen_func as _flash_attn_varlen_func + from flash_attn.bert_padding import \ + index_first_axis as _index_first_axis + from flash_attn.bert_padding import pad_input as _pad_input + from flash_attn.bert_padding import unpad_input as _unpad_input + flash_attn_func, flash_attn_varlen_func = _flash_attn_func, _flash_attn_varlen_func + pad_input, index_first_axis, unpad_input = _pad_input, _index_first_axis, _unpad_input + except ImportError: + raise ImportError('flash_attn is not installed.') + + +# Copied from transformers.models.llama.modeling_llama._get_unpad_data +def _get_unpad_data(attention_mask): + seqlens_in_batch = attention_mask.sum(dim=-1, dtype=torch.int32) + indices = torch.nonzero(attention_mask.flatten(), as_tuple=False).flatten() + max_seqlen_in_batch = seqlens_in_batch.max().item() + cu_seqlens = F.pad(torch.cumsum(seqlens_in_batch, dim=0, dtype=torch.torch.int32), (1, 0)) + return ( + indices, + cu_seqlens, + max_seqlen_in_batch, + ) + + +# Copied from transformers.models.bart.modeling_bart._make_causal_mask +def _make_causal_mask( + input_ids_shape: torch.Size, dtype: torch.dtype, device: torch.device, past_key_values_length: int = 0 +): + """ + Make causal mask used for bi-directional self-attention. + """ + bsz, tgt_len = input_ids_shape + mask = torch.full((tgt_len, tgt_len), torch.tensor(torch.finfo(dtype).min, device=device), device=device) + mask_cond = torch.arange(mask.size(-1), device=device) + mask.masked_fill_(mask_cond < (mask_cond + 1).view(mask.size(-1), 1), 0) + mask = mask.to(dtype) + + if past_key_values_length > 0: + mask = torch.cat([torch.zeros(tgt_len, past_key_values_length, dtype=dtype, device=device), mask], dim=-1) + return mask[None, None, :, :].expand(bsz, 1, tgt_len, tgt_len + past_key_values_length) + + +# Copied from transformers.models.bart.modeling_bart._expand_mask +def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] = None): + """ + Expands attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`. + """ + bsz, src_len = mask.size() + tgt_len = tgt_len if tgt_len is not None else src_len + + expanded_mask = mask[:, None, None, :].expand(bsz, 1, tgt_len, src_len).to(dtype) + + inverted_mask = 1.0 - expanded_mask + + return inverted_mask.masked_fill(inverted_mask.to(torch.bool), torch.finfo(dtype).min) + + +# Copied from transformers.models.llama.modeling_llama.LlamaRMSNorm with Llama->InternLM2 +class InternLM2RMSNorm(nn.Module): + def __init__(self, hidden_size, eps=1e-6): + """ + InternLM2RMSNorm is equivalent to T5LayerNorm + """ + super().__init__() + self.weight = nn.Parameter(torch.ones(hidden_size)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + input_dtype = hidden_states.dtype + hidden_states = hidden_states.to(torch.float32) + variance = hidden_states.pow(2).mean(-1, keepdim=True) + hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) + return self.weight * hidden_states.to(input_dtype) + + +# Copied from transformers.model.llama.modeling_llama.LlamaRotaryEmbedding with Llama->InternLM2 +class InternLM2RotaryEmbedding(nn.Module): + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): + super().__init__() + + self.dim = dim + self.max_position_embeddings = max_position_embeddings + self.base = base + inv_freq = 1.0 / (self.base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim)) + self.register_buffer('inv_freq', inv_freq, persistent=False) + + # Build here to make `torch.jit.trace` work. + self._set_cos_sin_cache( + seq_len=max_position_embeddings, device=self.inv_freq.device, dtype=torch.get_default_dtype() + ) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + t = torch.arange(self.max_seq_len_cached, device=device).to(dtype=self.inv_freq.dtype) + + freqs = torch.einsum('i,j->ij', t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer('cos_cached', emb.cos().to(dtype), persistent=False) + self.register_buffer('sin_cached', emb.sin().to(dtype), persistent=False) + + def forward(self, x, seq_len=None): + # x: [bs, num_attention_heads, seq_len, head_size] + if seq_len > self.max_seq_len_cached: + self._set_cos_sin_cache(seq_len=seq_len, device=x.device, dtype=torch.float32) + + return ( + self.cos_cached[:seq_len].to(dtype=x.dtype), + self.sin_cached[:seq_len].to(dtype=x.dtype), + ) + + +# Copied from transformers.model.llama.modeling_llama.LlamaLinearScalingRotaryEmbedding with Llama->InternLM2 +class InternLM2LinearScalingRotaryEmbedding(InternLM2RotaryEmbedding): + """InternLM2RotaryEmbedding extended with linear scaling. Credits to the Reddit user /u/kaiokendev""" + + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None, scaling_factor=1.0): + self.scaling_factor = scaling_factor + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + t = torch.arange(self.max_seq_len_cached, device=device).to(dtype=self.inv_freq.dtype) + t = t / self.scaling_factor + + freqs = torch.einsum('i,j->ij', t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer('cos_cached', emb.cos().to(dtype), persistent=False) + self.register_buffer('sin_cached', emb.sin().to(dtype), persistent=False) + + +# Copied from transformers.model.llama.modeling_llama.LlamaDynamicNTKScalingRotaryEmbedding with Llama->InternLM2 +class InternLM2DynamicNTKScalingRotaryEmbedding(InternLM2RotaryEmbedding): + """InternLM2RotaryEmbedding extended with Dynamic NTK scaling. + Credits to the Reddit users /u/bloc97 and /u/emozilla. + """ + + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None, scaling_factor=1.0): + self.scaling_factor = scaling_factor + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + + if seq_len > self.max_position_embeddings: + base = self.base * ( + (self.scaling_factor * seq_len / self.max_position_embeddings) - (self.scaling_factor - 1) + ) ** (self.dim / (self.dim - 2)) + inv_freq = 1.0 / (base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim)) + self.register_buffer('inv_freq', inv_freq, persistent=False) + + t = torch.arange(self.max_seq_len_cached, device=device).to(dtype=self.inv_freq.dtype) + + freqs = torch.einsum('i,j->ij', t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer('cos_cached', emb.cos().to(dtype), persistent=False) + self.register_buffer('sin_cached', emb.sin().to(dtype), persistent=False) + + +# Copied from transformers.model.llama.modeling_llama.rotate_half +def rotate_half(x): + """Rotates half the hidden dims of the input.""" + x1 = x[..., : x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2 :] + return torch.cat((-x2, x1), dim=-1) + + +# Copied from transformers.model.llama.modeling_llama.apply_rotary_pos_emb +def apply_rotary_pos_emb(q, k, cos, sin, position_ids, unsqueeze_dim=1): + """Applies Rotary Position Embedding to the query and key tensors.""" + cos = cos[position_ids].unsqueeze(unsqueeze_dim) + sin = sin[position_ids].unsqueeze(unsqueeze_dim) + q_embed = (q * cos) + (rotate_half(q) * sin) + k_embed = (k * cos) + (rotate_half(k) * sin) + return q_embed, k_embed + + +class InternLM2MLP(nn.Module): + def __init__(self, config): + super().__init__() + self.config = config + self.hidden_size = config.hidden_size + self.intermediate_size = config.intermediate_size + self.w1 = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.w3 = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.w2 = nn.Linear(self.intermediate_size, self.hidden_size, bias=False) + self.act_fn = ACT2FN[config.hidden_act] + + def forward(self, x): + down_proj = self.w2(self.act_fn(self.w1(x)) * self.w3(x)) + + return down_proj + + +# Copied from transformers.model.llama.modeling_llama.repeat_kv +def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: + """ + This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, + num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim) + """ + batch, num_key_value_heads, slen, head_dim = hidden_states.shape + if n_rep == 1: + return hidden_states + hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim) + return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim) + + +# Modified from transformers.model.llama.modeling_llama.LlamaAttention +class InternLM2Attention(nn.Module): + """Multi-headed attention from 'Attention Is All You Need' paper""" + + def __init__(self, config: InternLM2Config): + super().__init__() + self.config = config + self.hidden_size = config.hidden_size + self.num_heads = config.num_attention_heads + self.head_dim = self.hidden_size // self.num_heads + self.num_key_value_heads = config.num_key_value_heads + self.num_key_value_groups = self.num_heads // self.num_key_value_heads + self.max_position_embeddings = config.max_position_embeddings + self.is_causal = True + + if (self.head_dim * self.num_heads) != self.hidden_size: + raise ValueError( + f'hidden_size must be divisible by num_heads (got `hidden_size`: {self.hidden_size}' + f' and `num_heads`: {self.num_heads}).' + ) + + self.wqkv = nn.Linear( + self.hidden_size, + (self.num_heads + 2 * self.num_key_value_heads) * self.head_dim, + bias=config.bias, + ) + + self.wo = nn.Linear(self.num_heads * self.head_dim, self.hidden_size, bias=config.bias) + self._init_rope() + + def _init_rope(self): + if self.config.rope_scaling is None: + self.rotary_emb = InternLM2RotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + base=self.config.rope_theta, + ) + else: + scaling_type = self.config.rope_scaling['type'] + scaling_factor = self.config.rope_scaling['factor'] + if scaling_type == 'dynamic': + self.rotary_emb = InternLM2DynamicNTKScalingRotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + base=self.config.rope_theta, + scaling_factor=scaling_factor, + ) + elif scaling_type == 'linear': + self.rotary_emb = InternLM2LinearScalingRotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + base=self.config.rope_theta, + scaling_factor=scaling_factor, + ) + else: + raise ValueError("Currently we only support rotary embedding's type being 'dynamic' or 'linear'.") + return self.rotary_emb + + def _shape(self, tensor: torch.Tensor, seq_len: int, bsz: int): + return tensor.view(bsz, seq_len, self.num_heads, self.head_dim).transpose(1, 2).contiguous() + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: bool = False, + use_cache: bool = False, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + if 'padding_mask' in kwargs: + warnings.warn( + 'Passing `padding_mask` is deprecated and will be removed in v4.37. ' + 'Please make sure use `attention_mask` instead.`' + ) + + bsz, q_len, _ = hidden_states.size() + + qkv_states = self.wqkv(hidden_states) + + qkv_states = rearrange( + qkv_states, + 'b q (h gs d) -> b q h gs d', + gs=2 + self.num_key_value_groups, + d=self.head_dim, + ) + + query_states = qkv_states[..., : self.num_key_value_groups, :] + query_states = rearrange(query_states, 'b q h gs d -> b q (h gs) d') + key_states = qkv_states[..., -2, :] + value_states = qkv_states[..., -1, :] + + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + kv_seq_len = key_states.shape[-2] + if past_key_value is not None: + kv_seq_len += past_key_value[0].shape[-2] + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids) + + if past_key_value is not None: + # reuse k, v, self_attention + key_states = torch.cat([past_key_value[0], key_states], dim=2) + value_states = torch.cat([past_key_value[1], value_states], dim=2) + + past_key_value = (key_states, value_states) if use_cache else None + + key_states = repeat_kv(key_states, self.num_key_value_groups) + value_states = repeat_kv(value_states, self.num_key_value_groups) + + attn_weights = torch.matmul(query_states, key_states.transpose(2, 3)) / math.sqrt(self.head_dim) + + if attn_weights.size() != (bsz, self.num_heads, q_len, kv_seq_len): + raise ValueError( + f'Attention weights should be of size {(bsz, self.num_heads, q_len, kv_seq_len)}, but is' + f' {attn_weights.size()}' + ) + + if attention_mask is not None: + if attention_mask.size() != (bsz, 1, q_len, kv_seq_len): + raise ValueError( + f'Attention mask should be of size {(bsz, 1, q_len, kv_seq_len)}, but is {attention_mask.size()}' + ) + attn_weights = attn_weights + attention_mask + + # upcast attention to fp32 + attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query_states.dtype) + attn_output = torch.matmul(attn_weights, value_states) + + if attn_output.size() != (bsz, self.num_heads, q_len, self.head_dim): + raise ValueError( + f'`attn_output` should be of size {(bsz, self.num_heads, q_len, self.head_dim)}, but is' + f' {attn_output.size()}' + ) + + attn_output = attn_output.transpose(1, 2).contiguous() + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size) + + attn_output = self.wo(attn_output) + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + +# Modified from transformers.model.llama.modeling_llama.InternLM2FlashAttention2 +class InternLM2FlashAttention2(InternLM2Attention): + """ + InternLM2 flash attention module. This module inherits from `InternLM2Attention` as the weights of the module stays + untouched. The only required change would be on the forward pass where it needs to correctly call the public API of + flash attention and deal with padding tokens in case the input contains any of them. + """ + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.LongTensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: bool = False, + use_cache: bool = False, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + # InternLM2FlashAttention2 attention does not support output_attentions + if 'padding_mask' in kwargs: + warnings.warn( + 'Passing `padding_mask` is deprecated and will be removed in v4.37. ' + 'Please make sure use `attention_mask` instead.`' + ) + + # overwrite attention_mask with padding_mask + attention_mask = kwargs.pop('padding_mask') + + output_attentions = False + + bsz, q_len, _ = hidden_states.size() + + qkv_states = self.wqkv(hidden_states) + + qkv_states = rearrange( + qkv_states, + 'b q (h gs d) -> b q h gs d', + gs=2 + self.num_key_value_groups, + d=self.head_dim, + ) + + query_states = qkv_states[..., : self.num_key_value_groups, :] + query_states = rearrange(query_states, 'b q h gs d -> b q (h gs) d') + key_states = qkv_states[..., -2, :] + value_states = qkv_states[..., -1, :] + + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + kv_seq_len = key_states.shape[-2] + if past_key_value is not None: + kv_seq_len += past_key_value[0].shape[-2] + + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids) + + if past_key_value is not None: + # reuse k, v, self_attention + key_states = torch.cat([past_key_value[0], key_states], dim=2) + value_states = torch.cat([past_key_value[1], value_states], dim=2) + + past_key_value = (key_states, value_states) if use_cache else None + + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + attn_output = self._flash_attention_forward( + query_states, key_states, value_states, attention_mask, q_len + ) + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size).contiguous() + attn_output = self.wo(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + def _flash_attention_forward( + self, query_states, key_states, value_states, attention_mask, query_length, dropout=0.0, softmax_scale=None + ): + """ + Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token + first unpad the input, then computes the attention scores and pad the final attention scores. + + Args: + query_states (`torch.Tensor`): + Input query states to be passed to Flash Attention API + key_states (`torch.Tensor`): + Input key states to be passed to Flash Attention API + value_states (`torch.Tensor`): + Input value states to be passed to Flash Attention API + attention_mask (`torch.Tensor`): + The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the + position of padding tokens and 1 for the position of non-padding tokens. + dropout (`int`, *optional*): + Attention dropout + softmax_scale (`float`, *optional*): + The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim) + """ + # Contains at least one padding token in the sequence + causal = self.is_causal and query_length != 1 + if attention_mask is not None: + batch_size = query_states.shape[0] + query_states, key_states, value_states, indices_q, cu_seq_lens, max_seq_lens = self._unpad_input( + query_states, key_states, value_states, attention_mask, query_length + ) + + cu_seqlens_q, cu_seqlens_k = cu_seq_lens + max_seqlen_in_batch_q, max_seqlen_in_batch_k = max_seq_lens + + attn_output_unpad = flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=dropout, + softmax_scale=softmax_scale, + causal=causal, + ) + + attn_output = pad_input(attn_output_unpad, indices_q, batch_size, query_length) + else: + attn_output = flash_attn_func( + query_states, key_states, value_states, dropout, softmax_scale=softmax_scale, causal=causal + ) + + return attn_output + + def _unpad_input(self, query_layer, key_layer, value_layer, attention_mask, query_length): + indices_k, cu_seqlens_k, max_seqlen_in_batch_k = _get_unpad_data(attention_mask) + batch_size, kv_seq_len, num_key_value_heads, head_dim = key_layer.shape + + key_layer = index_first_axis( + key_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), indices_k + ) + value_layer = index_first_axis( + value_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), indices_k + ) + + if query_length == kv_seq_len: + query_layer = index_first_axis( + query_layer.reshape(batch_size * kv_seq_len, self.num_heads, head_dim), indices_k + ) + cu_seqlens_q = cu_seqlens_k + max_seqlen_in_batch_q = max_seqlen_in_batch_k + indices_q = indices_k + elif query_length == 1: + max_seqlen_in_batch_q = 1 + cu_seqlens_q = torch.arange( + batch_size + 1, dtype=torch.int32, device=query_layer.device + ) # There is a memcpy here, that is very bad. + indices_q = cu_seqlens_q[:-1] + query_layer = query_layer.squeeze(1) + else: + # The -q_len: slice assumes left padding. + attention_mask = attention_mask[:, -query_length:] + query_layer, indices_q, cu_seqlens_q, max_seqlen_in_batch_q = unpad_input(query_layer, attention_mask) + + return ( + query_layer, + key_layer, + value_layer, + indices_q.to(torch.int64), + (cu_seqlens_q, cu_seqlens_k), + (max_seqlen_in_batch_q, max_seqlen_in_batch_k), + ) + + +INTERNLM2_ATTENTION_CLASSES = { + 'eager': InternLM2Attention, + 'flash_attention_2': InternLM2FlashAttention2, +} + + +# Modified from transformers.model.llama.modeling_llama.LlamaDecoderLayer +class InternLM2DecoderLayer(nn.Module): + def __init__(self, config: InternLM2Config): + super().__init__() + self.hidden_size = config.hidden_size + + # self.attention = INTERNLM2_ATTENTION_CLASSES[config.attn_implementation](config=config) + self.attention = InternLM2Attention(config) + # import ipdb; ipdb.set_trace() + self.feed_forward = InternLM2MLP(config) + self.attention_norm = InternLM2RMSNorm(config.hidden_size, eps=config.rms_norm_eps) + self.ffn_norm = InternLM2RMSNorm(config.hidden_size, eps=config.rms_norm_eps) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: Optional[bool] = False, + use_cache: Optional[bool] = False, + **kwargs, + ) -> Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]]: + """ + Args: + hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` + attention_mask (`torch.FloatTensor`, *optional*): + attention mask of size `(batch_size, sequence_length)` if flash attention is used or `(batch_size, 1, + query_sequence_length, key_sequence_length)` if default attention is used. + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding + (see `past_key_values`). + past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states + """ + if 'padding_mask' in kwargs: + warnings.warn( + 'Passing `padding_mask` is deprecated and will be removed in v4.37. ' + 'Please make sure use `attention_mask` instead.`' + ) + + residual = hidden_states + + hidden_states = self.attention_norm(hidden_states) + + # Self Attention + hidden_states, self_attn_weights, present_key_value = self.attention( + hidden_states=hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + **kwargs, + ) + hidden_states = residual + hidden_states + + # Fully Connected + residual = hidden_states + hidden_states = self.ffn_norm(hidden_states) + hidden_states = self.feed_forward(hidden_states) + hidden_states = residual + hidden_states + + outputs = (hidden_states,) + # import ipdb; ipdb.set_trace() + if output_attentions: + outputs += (self_attn_weights,) + + if use_cache: + outputs += (present_key_value,) + + return outputs + + +InternLM2_START_DOCSTRING = r""" + This model inherits from [`PreTrainedModel`]. Check the superclass documentation for the generic methods the + library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads + etc.) + + This model is also a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. + Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage + and behavior. + + Parameters: + config ([`InternLM2Config`]): + Model configuration class with all the parameters of the model. Initializing with a config file does not + load the weights associated with the model, only the configuration. Check out the + [`~PreTrainedModel.from_pretrained`] method to load the model weights. +""" + + +# Copied from transformers.models.llama.modeling_llama.LlamaPreTrainedModel with Llama->InternLM2 +@add_start_docstrings( + 'The bare InternLM2 Model outputting raw hidden-states without any specific head on top.', + InternLM2_START_DOCSTRING, +) +class InternLM2PreTrainedModel(PreTrainedModel): + config_class = InternLM2Config + base_model_prefix = 'model' + supports_gradient_checkpointing = True + _no_split_modules = ['InternLM2DecoderLayer'] + _skip_keys_device_placement = 'past_key_values' + _supports_flash_attn_2 = True + + def _init_weights(self, module): + std = self.config.initializer_range + if isinstance(module, nn.Linear): + module.weight.data.normal_(mean=0.0, std=std) + if module.bias is not None: + module.bias.data.zero_() + elif isinstance(module, nn.Embedding): + module.weight.data.normal_(mean=0.0, std=std) + if module.padding_idx is not None: + module.weight.data[module.padding_idx].zero_() + + +InternLM2_INPUTS_DOCSTRING = r""" + Args: + input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): + Indices of input sequence tokens in the vocabulary. Padding will be ignored by default should you provide + it. + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + [What are input IDs?](../glossary#input-ids) + attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + If `past_key_values` is used, optionally only the last `input_ids` have to be input (see + `past_key_values`). + + If you want to change padding behavior, you should read [`modeling_opt._prepare_decoder_attention_mask`] + and modify to your needs. See diagram 1 in [the paper](https://arxiv.org/abs/1910.13461) for more + information on the default strategy. + + - 1 indicates the head is **not masked**, + - 0 indicates the head is **masked**. + position_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Indices of positions of each input sequence tokens in the position embeddings. Selected in the range `[0, + config.n_positions - 1]`. + + [What are position IDs?](../glossary#position-ids) + past_key_values (`tuple(tuple(torch.FloatTensor))`, *optional*, returned when `use_cache=True` is passed or + when `config.use_cache=True`): + Tuple of `tuple(torch.FloatTensor)` of length `config.n_layers`, with each tuple having 2 tensors of shape + `(batch_size, num_heads, sequence_length, embed_size_per_head)`) and 2 additional tensors of shape + `(batch_size, num_heads, decoder_sequence_length, embed_size_per_head)`. + + Contains pre-computed hidden-states (key and values in the self-attention blocks and in the cross-attention + blocks) that can be used (see `past_key_values` input) to speed up sequential decoding. + + If `past_key_values` are used, the user can optionally input only the last `input_ids` (those that don't + have their past key value states given to this model) of shape `(batch_size, 1)` instead of all `input_ids` + of shape `(batch_size, sequence_length)`. + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): + Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This + is useful if you want more control over how to convert `input_ids` indices into associated vectors than the + model's internal embedding lookup matrix. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding (see + `past_key_values`). + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under returned + tensors for more detail. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors for + more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. +""" + + +# Modified from transformers.model.llama.modeling_llama.LlamaModel +@add_start_docstrings( + 'The bare InternLM2 Model outputting raw hidden-states without any specific head on top.', + InternLM2_START_DOCSTRING, +) +class InternLM2Model(InternLM2PreTrainedModel): + """ + Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`InternLM2DecoderLayer`] + + Args: + config: InternLM2Config + """ + + _auto_class = 'AutoModel' + + def __init__(self, config: InternLM2Config): + super().__init__(config) + self.padding_idx = config.pad_token_id + self.vocab_size = config.vocab_size + self.config = config + if not has_flash_attn: + self.config.attn_implementation = 'eager' + print('Warning: Flash attention is not available, using eager attention instead.') + + self.tok_embeddings = nn.Embedding(config.vocab_size, config.hidden_size, self.padding_idx) + + self.layers = nn.ModuleList([InternLM2DecoderLayer(config) for _ in range(config.num_hidden_layers)]) + self.norm = InternLM2RMSNorm(config.hidden_size, eps=config.rms_norm_eps) + + self.gradient_checkpointing = False + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.tok_embeddings + + def set_input_embeddings(self, value): + self.tok_embeddings = value + + def _prepare_decoder_attention_mask(self, attention_mask, input_shape, inputs_embeds, past_key_values_length): + # create causal mask + # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] + combined_attention_mask = None + if input_shape[-1] > 1: + combined_attention_mask = _make_causal_mask( + input_shape, + inputs_embeds.dtype, + device=inputs_embeds.device, + past_key_values_length=past_key_values_length, + ) + + if attention_mask is not None: + # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] + expanded_attn_mask = _expand_mask(attention_mask, inputs_embeds.dtype, tgt_len=input_shape[-1]).to( + inputs_embeds.device + ) + combined_attention_mask = ( + expanded_attn_mask if combined_attention_mask is None else expanded_attn_mask + combined_attention_mask + ) + + return combined_attention_mask + + @add_start_docstrings_to_model_forward(InternLM2_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPast]: + # output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_attentions = True + output_hidden_states = ( + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + ) + use_cache = use_cache if use_cache is not None else self.config.use_cache + + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + if self.config.attn_implementation == 'flash_attention_2': + _import_flash_attn() + + # retrieve input_ids and inputs_embeds + if input_ids is not None and inputs_embeds is not None: + raise ValueError('You cannot specify both input_ids and inputs_embeds at the same time') + elif input_ids is not None: + batch_size, seq_length = input_ids.shape[:2] + elif inputs_embeds is not None: + batch_size, seq_length = inputs_embeds.shape[:2] + else: + raise ValueError('You have to specify either input_ids or inputs_embeds') + + seq_length_with_past = seq_length + past_key_values_length = 0 + if past_key_values is not None: + past_key_values_length = past_key_values[0][0].shape[2] + seq_length_with_past = seq_length_with_past + past_key_values_length + + if position_ids is None: + device = input_ids.device if input_ids is not None else inputs_embeds.device + position_ids = torch.arange( + past_key_values_length, seq_length + past_key_values_length, dtype=torch.long, device=device + ) + position_ids = position_ids.unsqueeze(0) + + if inputs_embeds is None: + inputs_embeds = self.tok_embeddings(input_ids) + + if self.config.attn_implementation == 'flash_attention_2': + # 2d mask is passed through the layers + attention_mask = attention_mask if (attention_mask is not None and 0 in attention_mask) else None + else: + if attention_mask is None: + attention_mask = torch.ones( + (batch_size, seq_length_with_past), dtype=torch.bool, device=inputs_embeds.device + ) + attention_mask = self._prepare_decoder_attention_mask( + attention_mask, (batch_size, seq_length), inputs_embeds, past_key_values_length + ) + + # embed positions + hidden_states = inputs_embeds + + if self.gradient_checkpointing and self.training: + if use_cache: + logger.warning_once( + '`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...' + ) + use_cache = False + + # decoder layers + all_hidden_states = () if output_hidden_states else None + all_self_attns = () if output_attentions else None + next_decoder_cache = () if use_cache else None + for idx, decoder_layer in enumerate(self.layers): + if output_hidden_states: + all_hidden_states += (hidden_states,) + + past_key_value = past_key_values[idx] if past_key_values is not None else None + + if self.gradient_checkpointing and self.training: + + def create_custom_forward(module): + def custom_forward(*inputs): + # None for past_key_value + return module(*inputs, output_attentions, None) + + return custom_forward + + layer_outputs = torch.utils.checkpoint.checkpoint( + create_custom_forward(decoder_layer), + hidden_states, + attention_mask, + position_ids, + None, + ) + else: + layer_outputs = decoder_layer( + hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + ) + + hidden_states = layer_outputs[0] + + if use_cache: + next_decoder_cache += (layer_outputs[2 if output_attentions else 1],) + + if output_attentions: + all_self_attns += (layer_outputs[1],) + + hidden_states = self.norm(hidden_states) + + # add hidden states from the last decoder layer + if output_hidden_states: + all_hidden_states += (hidden_states,) + + next_cache = next_decoder_cache if use_cache else None + if not return_dict: + return tuple(v for v in [hidden_states, next_cache, all_hidden_states, all_self_attns] if v is not None) + return BaseModelOutputWithPast( + last_hidden_state=hidden_states, + past_key_values=next_cache, + hidden_states=all_hidden_states, + attentions=all_self_attns, + ) + + +# Modified from transformers.model.llama.modeling_llama.LlamaForCausalLM +class InternLM2ForCausalLM(InternLM2PreTrainedModel): + _auto_class = 'AutoModelForCausalLM' + + _tied_weights_keys = ['output.weight'] + + def __init__(self, config): + super().__init__(config) + self.model = InternLM2Model(config) + self.vocab_size = config.vocab_size + self.output = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.tok_embeddings + + def set_input_embeddings(self, value): + self.model.tok_embeddings = value + + def get_output_embeddings(self): + return self.output + + def set_output_embeddings(self, new_embeddings): + self.output = new_embeddings + + def set_decoder(self, decoder): + self.model = decoder + + def get_decoder(self): + return self.model + + @add_start_docstrings_to_model_forward(InternLM2_INPUTS_DOCSTRING) + @replace_return_docstrings(output_type=CausalLMOutputWithPast, config_class=_CONFIG_FOR_DOC) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + r""" + Args: + labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Labels for computing the masked language modeling loss. Indices should either be in `[0, ..., + config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored + (masked), the loss is only computed for the tokens with labels in `[0, ..., config.vocab_size]`. + + Returns: + + Example: + + ```python + >>> from transformers import AutoTokenizer, InternLM2ForCausalLM + + >>> model = InternLM2ForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS) + >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER) + + >>> prompt = "Hey, are you conscious? Can you talk to me?" + >>> inputs = tokenizer(prompt, return_tensors="pt") + + >>> # Generate + >>> generate_ids = model.generate(inputs.input_ids, max_length=30) + >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + "Hey, are you conscious? Can you talk to me?\nI'm not conscious, but I can talk to you." + ```""" + + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = ( + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + # decoder outputs consists of (dec_features, layer_state, dec_hidden, dec_attn) + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=True, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + logits = self.output(hidden_states) + logits = logits.float() + + loss = None + if labels is not None: + # Shift so that tokens < n predict n + shift_logits = logits[..., :-1, :].contiguous() + shift_labels = labels[..., 1:].contiguous() + # Flatten the tokens + loss_fct = CrossEntropyLoss() + shift_logits = shift_logits.view(-1, self.config.vocab_size) + shift_labels = shift_labels.view(-1) + # Enable model parallelism + shift_labels = shift_labels.to(shift_logits.device) + loss = loss_fct(shift_logits, shift_labels) + + if not return_dict: + output = (logits,) + outputs[1:] + return (loss,) + output if loss is not None else output + + device = input_ids.device if input_ids is not None else inputs_embeds.device + output = CausalLMOutputWithPast( + loss=loss, + logits=logits, + past_key_values=outputs.past_key_values, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) + output['logits'] = output['logits'].to(device) + return output + + def prepare_inputs_for_generation( + self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs + ): + if past_key_values is not None: + past_length = past_key_values[0][0].shape[2] + + # Some generation methods already pass only the last input ID + if input_ids.shape[1] > past_length: + remove_prefix_length = past_length + else: + # Default to old behavior: keep only final ID + remove_prefix_length = input_ids.shape[1] - 1 + + input_ids = input_ids[:, remove_prefix_length:] + + position_ids = kwargs.get('position_ids', None) + if attention_mask is not None and position_ids is None: + # create position_ids on the fly for batch generation + position_ids = attention_mask.long().cumsum(-1) - 1 + position_ids.masked_fill_(attention_mask == 0, 1) + if past_key_values: + position_ids = position_ids[:, -input_ids.shape[1] :] + + # if `inputs_embeds` are passed, we only want to use them in the 1st generation step + if inputs_embeds is not None and past_key_values is None: + model_inputs = {'inputs_embeds': inputs_embeds} + else: + model_inputs = {'input_ids': input_ids} + + model_inputs.update( + { + 'position_ids': position_ids, + 'past_key_values': past_key_values, + 'use_cache': kwargs.get('use_cache'), + 'attention_mask': attention_mask, + } + ) + return model_inputs + + @staticmethod + def _reorder_cache(past_key_values, beam_idx): + reordered_past = () + for layer_past in past_key_values: + reordered_past += ( + tuple(past_state.index_select(0, beam_idx.to(past_state.device)) for past_state in layer_past), + ) + return reordered_past + + def build_inputs(self, tokenizer, query: str, history: List[Tuple[str, str]] = [], meta_instruction=''): + if tokenizer.add_bos_token: + prompt = '' + else: + prompt = tokenizer.bos_token + if meta_instruction: + prompt += f"""<|im_start|>system\n{meta_instruction}<|im_end|>\n""" + for record in history: + prompt += f"""<|im_start|>user\n{record[0]}<|im_end|>\n<|im_start|>assistant\n{record[1]}<|im_end|>\n""" + prompt += f"""<|im_start|>user\n{query}<|im_end|>\n<|im_start|>assistant\n""" + return tokenizer([prompt], return_tensors='pt') + + @torch.no_grad() + def chat( + self, + tokenizer, + query: str, + history: List[Tuple[str, str]] = [], + streamer: Optional[BaseStreamer] = None, + max_new_tokens: int = 1024, + do_sample: bool = True, + temperature: float = 0.8, + top_p: float = 0.8, + meta_instruction: str = 'You are an AI assistant whose name is InternLM (书生·浦语).\n' + '- InternLM (书生·浦语) is a conversational language model that is developed by Shanghai AI Laboratory (上海人工智能实验室). It is designed to be helpful, honest, and harmless.\n' + '- InternLM (书生·浦语) can understand and communicate fluently in the language chosen by the user such as English and 中文.', + **kwargs, + ): + inputs = self.build_inputs(tokenizer, query, history, meta_instruction) + inputs = {k: v.to(self.device) for k, v in inputs.items() if torch.is_tensor(v)} + # also add end-of-assistant token in eos token id to avoid unnecessary generation + eos_token_id = [tokenizer.eos_token_id, tokenizer.convert_tokens_to_ids(['<|im_end|>'])[0]] + outputs = self.generate( + **inputs, + streamer=streamer, + max_new_tokens=max_new_tokens, + do_sample=do_sample, + temperature=temperature, + top_p=top_p, + eos_token_id=eos_token_id, + **kwargs, + ) + outputs = outputs[0].cpu().tolist()[len(inputs['input_ids'][0]) :] + response = tokenizer.decode(outputs, skip_special_tokens=True) + response = response.split('<|im_end|>')[0] + history = history + [(query, response)] + return response, history + + @torch.no_grad() + def stream_chat( + self, + tokenizer, + query: str, + history: List[Tuple[str, str]] = [], + max_new_tokens: int = 1024, + do_sample: bool = True, + temperature: float = 0.8, + top_p: float = 0.8, + **kwargs, + ): + """ + Return a generator in format: (response, history) + Eg. + ('你好,有什么可以帮助您的吗', [('你好', '你好,有什么可以帮助您的吗')]) + ('你好,有什么可以帮助您的吗?', [('你好', '你好,有什么可以帮助您的吗?')]) + """ + if BaseStreamer is None: + raise ModuleNotFoundError( + 'The version of `transformers` is too low. Please make sure ' + 'that you have installed `transformers>=4.28.0`.' + ) + + response_queue = queue.Queue(maxsize=20) + + class ChatStreamer(BaseStreamer): + def __init__(self, tokenizer) -> None: + super().__init__() + self.tokenizer = tokenizer + self.queue = response_queue + self.query = query + self.history = history + self.response = '' + self.cache = [] + self.received_inputs = False + self.queue.put((self.response, history + [(self.query, self.response)])) + + def put(self, value): + if len(value.shape) > 1 and value.shape[0] > 1: + raise ValueError('ChatStreamer only supports batch size 1') + elif len(value.shape) > 1: + value = value[0] + + if not self.received_inputs: + # The first received value is input_ids, ignore here + self.received_inputs = True + return + + self.cache.extend(value.tolist()) + token = self.tokenizer.decode(self.cache, skip_special_tokens=True) + if token.strip() != '<|im_end|>': + self.response = self.response + token + history = self.history + [(self.query, self.response)] + self.queue.put((self.response, history)) + self.cache = [] + else: + self.end() + + def end(self): + self.queue.put(None) + + def stream_producer(): + return self.chat( + tokenizer=tokenizer, + query=query, + streamer=ChatStreamer(tokenizer=tokenizer), + history=history, + max_new_tokens=max_new_tokens, + do_sample=do_sample, + temperature=temperature, + top_p=top_p, + **kwargs, + ) + + def consumer(): + producer = threading.Thread(target=stream_producer) + producer.start() + while True: + res = response_queue.get() + if res is None: + return + yield res + + return consumer() + + +# Copied from transformers.model.llama.modeling_llama.LlamaForSequenceClassification with Llama->InternLM2 +@add_start_docstrings( + """ + The InternLM2 Model transformer with a sequence classification head on top (linear layer). + + [`InternLM2ForSequenceClassification`] uses the last token in order to do the classification, + as other causal models (e.g. GPT-2) do. + + Since it does classification on the last token, it requires to know the position of the last token. If a + `pad_token_id` is defined in the configuration, it finds the last token that is not a padding token in each row. If + no `pad_token_id` is defined, it simply takes the last value in each row of the batch. Since it cannot guess the + padding tokens when `inputs_embeds` are passed instead of `input_ids`, it does the same (take the last value in + each row of the batch). + """, + InternLM2_START_DOCSTRING, +) +class InternLM2ForSequenceClassification(InternLM2PreTrainedModel): + def __init__(self, config): + super().__init__(config) + self.num_labels = config.num_labels + self.model = InternLM2Model(config) + self.score = nn.Linear(config.hidden_size, self.num_labels, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.tok_embeddings + + def set_input_embeddings(self, value): + self.model.tok_embeddings = value + + @add_start_docstrings_to_model_forward(InternLM2_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, SequenceClassifierOutputWithPast]: + r""" + labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): + Labels for computing the sequence classification/regression loss. Indices should be in `[0, ..., + config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If + `config.num_labels > 1` a classification loss is computed (Cross-Entropy). + """ + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + transformer_outputs = self.model( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + hidden_states = transformer_outputs[0] + logits = self.score(hidden_states) + + if input_ids is not None: + batch_size = input_ids.shape[0] + else: + batch_size = inputs_embeds.shape[0] + + if self.config.pad_token_id is None and batch_size != 1: + raise ValueError('Cannot handle batch sizes > 1 if no padding token is defined.') + if self.config.pad_token_id is None: + sequence_lengths = -1 + else: + if input_ids is not None: + sequence_lengths = (torch.eq(input_ids, self.config.pad_token_id).int().argmax(-1) - 1).to( + logits.device + ) + else: + sequence_lengths = -1 + + pooled_logits = logits[torch.arange(batch_size, device=logits.device), sequence_lengths] + + loss = None + if labels is not None: + labels = labels.to(logits.device) + if self.config.problem_type is None: + if self.num_labels == 1: + self.config.problem_type = 'regression' + elif self.num_labels > 1 and (labels.dtype == torch.long or labels.dtype == torch.int): + self.config.problem_type = 'single_label_classification' + else: + self.config.problem_type = 'multi_label_classification' + + if self.config.problem_type == 'regression': + loss_fct = MSELoss() + if self.num_labels == 1: + loss = loss_fct(pooled_logits.squeeze(), labels.squeeze()) + else: + loss = loss_fct(pooled_logits, labels) + elif self.config.problem_type == 'single_label_classification': + loss_fct = CrossEntropyLoss() + loss = loss_fct(pooled_logits.view(-1, self.num_labels), labels.view(-1)) + elif self.config.problem_type == 'multi_label_classification': + loss_fct = BCEWithLogitsLoss() + loss = loss_fct(pooled_logits, labels) + if not return_dict: + output = (pooled_logits,) + transformer_outputs[1:] + return ((loss,) + output) if loss is not None else output + + return SequenceClassifierOutputWithPast( + loss=loss, + logits=pooled_logits, + past_key_values=transformer_outputs.past_key_values, + hidden_states=transformer_outputs.hidden_states, + attentions=transformer_outputs.attentions, + ) diff --git a/src/models/internvl2/modeling_internvl_chat.py b/src/models/internvl2/modeling_internvl_chat.py new file mode 100644 index 0000000..bd3d4cf --- /dev/null +++ b/src/models/internvl2/modeling_internvl_chat.py @@ -0,0 +1,354 @@ +# -------------------------------------------------------- +# InternVL +# Copyright (c) 2024 OpenGVLab +# Licensed under The MIT License [see LICENSE for details] +# -------------------------------------------------------- +import warnings +from typing import Any, List, Optional, Tuple, Union + +import torch.utils.checkpoint +import transformers +from torch import nn +from torch.nn import CrossEntropyLoss +from transformers import (AutoModel, GenerationConfig, LlamaForCausalLM, + LlamaTokenizer) +from transformers.modeling_outputs import CausalLMOutputWithPast +from transformers.modeling_utils import PreTrainedModel +from transformers.utils import ModelOutput, logging + +from .configuration_internvl_chat import InternVLChatConfig +from .conversation import get_conv_template +from .modeling_intern_vit import InternVisionModel, has_flash_attn +from .modeling_internlm2 import InternLM2ForCausalLM + +logger = logging.get_logger(__name__) + + +def version_cmp(v1, v2, op='eq'): + import operator + + from packaging import version + op_func = getattr(operator, op) + return op_func(version.parse(v1), version.parse(v2)) + + +class InternVLChatModel(PreTrainedModel): + config_class = InternVLChatConfig + main_input_name = 'pixel_values' + base_model_prefix = 'language_model' + _supports_flash_attn_2 = True + _no_split_modules = ['InternVisionModel', 'LlamaDecoderLayer', 'InternLM2DecoderLayer'] + + def __init__(self, config: InternVLChatConfig, vision_model=None, language_model=None, use_flash_attn=True): + super().__init__(config) + + assert version_cmp(transformers.__version__, '4.36.2', 'ge') + image_size = config.force_image_size or config.vision_config.image_size + patch_size = config.vision_config.patch_size + self.patch_size = patch_size + self.select_layer = config.select_layer + self.template = config.template + self.num_image_token = int((image_size // patch_size) ** 2 * (config.downsample_ratio ** 2)) + self.downsample_ratio = config.downsample_ratio + self.ps_version = config.ps_version + use_flash_attn = use_flash_attn if has_flash_attn else False + config.vision_config.use_flash_attn = True if use_flash_attn else False + config.llm_config.attn_implementation = 'flash_attention_2' if use_flash_attn else 'eager' + + logger.info(f'num_image_token: {self.num_image_token}') + logger.info(f'ps_version: {self.ps_version}') + if vision_model is not None: + self.vision_model = vision_model + else: + self.vision_model = InternVisionModel(config.vision_config) + if language_model is not None: + self.language_model = language_model + else: + if config.llm_config.architectures[0] == 'LlamaForCausalLM': + self.language_model = LlamaForCausalLM(config.llm_config) + elif config.llm_config.architectures[0] == 'InternLM2ForCausalLM': + self.language_model = InternLM2ForCausalLM(config.llm_config) + else: + raise NotImplementedError(f'{config.llm_config.architectures[0]} is not implemented.') + + vit_hidden_size = config.vision_config.hidden_size + llm_hidden_size = config.llm_config.hidden_size + + self.mlp1 = nn.Sequential( + nn.LayerNorm(vit_hidden_size * int(1 / self.downsample_ratio) ** 2), + nn.Linear(vit_hidden_size * int(1 / self.downsample_ratio) ** 2, llm_hidden_size), + nn.GELU(), + nn.Linear(llm_hidden_size, llm_hidden_size) + ) + + self.img_context_token_id = None + self.conv_template = get_conv_template(self.template) + self.system_message = self.conv_template.system_message + + def forward( + self, + pixel_values: torch.FloatTensor, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + image_flags: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + image_flags = image_flags.squeeze(-1) + input_embeds = self.language_model.get_input_embeddings()(input_ids).clone() + + vit_embeds = self.extract_feature(pixel_values) + vit_embeds = vit_embeds[image_flags == 1] + vit_batch_size = pixel_values.shape[0] + + B, N, C = input_embeds.shape + input_embeds = input_embeds.reshape(B * N, C) + + if torch.distributed.get_rank() == 0: + print(f'dynamic ViT batch size: {vit_batch_size}, images per sample: {vit_batch_size / B}, dynamic token length: {N}') + + input_ids = input_ids.reshape(B * N) + selected = (input_ids == self.img_context_token_id) + try: + input_embeds[selected] = input_embeds[selected] * 0.0 + vit_embeds.reshape(-1, C) + except Exception as e: + vit_embeds = vit_embeds.reshape(-1, C) + print(f'warning: {e}, input_embeds[selected].shape={input_embeds[selected].shape}, ' + f'vit_embeds.shape={vit_embeds.shape}') + n_token = selected.sum() + input_embeds[selected] = input_embeds[selected] * 0.0 + vit_embeds[:n_token] + + input_embeds = input_embeds.reshape(B, N, C) + + outputs = self.language_model( + inputs_embeds=input_embeds, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + logits = outputs.logits + + loss = None + if labels is not None: + # Shift so that tokens < n predict n + shift_logits = logits[..., :-1, :].contiguous() + shift_labels = labels[..., 1:].contiguous() + # Flatten the tokens + loss_fct = CrossEntropyLoss() + shift_logits = shift_logits.view(-1, self.language_model.config.vocab_size) + shift_labels = shift_labels.view(-1) + # Enable model parallelism + shift_labels = shift_labels.to(shift_logits.device) + loss = loss_fct(shift_logits, shift_labels) + + if not return_dict: + output = (logits,) + outputs[1:] + return (loss,) + output if loss is not None else output + + return CausalLMOutputWithPast( + loss=loss, + logits=logits, + past_key_values=outputs.past_key_values, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) + + def pixel_shuffle(self, x, scale_factor=0.5): + n, w, h, c = x.size() + # N, W, H, C --> N, W, H * scale, C // scale + x = x.view(n, w, int(h * scale_factor), int(c / scale_factor)) + # N, W, H * scale, C // scale --> N, H * scale, W, C // scale + x = x.permute(0, 2, 1, 3).contiguous() + # N, H * scale, W, C // scale --> N, H * scale, W * scale, C // (scale ** 2) + x = x.view(n, int(h * scale_factor), int(w * scale_factor), + int(c / (scale_factor * scale_factor))) + if self.ps_version == 'v1': + warnings.warn("In ps_version 'v1', the height and width have not been swapped back, " + 'which results in a transposed image.') + else: + x = x.permute(0, 2, 1, 3).contiguous() + return x + + def extract_feature(self, pixel_values): + if self.select_layer == -1: + vit_embeds = self.vision_model( + pixel_values=pixel_values, + output_hidden_states=False, + return_dict=True).last_hidden_state + else: + vit_embeds = self.vision_model( + pixel_values=pixel_values, + output_hidden_states=True, + return_dict=True).hidden_states[self.select_layer] + vit_embeds = vit_embeds[:, 1:, :] + + h = w = int(vit_embeds.shape[1] ** 0.5) + vit_embeds = vit_embeds.reshape(vit_embeds.shape[0], h, w, -1) + vit_embeds = self.pixel_shuffle(vit_embeds, scale_factor=self.downsample_ratio) + vit_embeds = vit_embeds.reshape(vit_embeds.shape[0], -1, vit_embeds.shape[-1]) + vit_embeds = self.mlp1(vit_embeds) + return vit_embeds + + def batch_chat(self, tokenizer, pixel_values, questions, generation_config, num_patches_list=None, + history=None, return_history=False, IMG_START_TOKEN='', IMG_END_TOKEN='', + IMG_CONTEXT_TOKEN='', verbose=False, image_counts=None): + if history is not None or return_history: + print('Now multi-turn chat is not supported in batch_chat.') + raise NotImplementedError + + if image_counts is not None: + num_patches_list = image_counts + print('Warning: `image_counts` is deprecated. Please use `num_patches_list` instead.') + + img_context_token_id = tokenizer.convert_tokens_to_ids(IMG_CONTEXT_TOKEN) + self.img_context_token_id = img_context_token_id + + if verbose and pixel_values is not None: + image_bs = pixel_values.shape[0] + print(f'dynamic ViT batch size: {image_bs}') + + queries = [] + for idx, num_patches in enumerate(num_patches_list): + question = questions[idx] + if pixel_values is not None and '' not in question: + question = '\n' + question + template = get_conv_template(self.template) + template.system_message = self.system_message + template.append_message(template.roles[0], question) + template.append_message(template.roles[1], None) + query = template.get_prompt() + + image_tokens = IMG_START_TOKEN + IMG_CONTEXT_TOKEN * self.num_image_token * num_patches + IMG_END_TOKEN + query = query.replace('', image_tokens, 1) + queries.append(query) + + tokenizer.padding_side = 'left' + model_inputs = tokenizer(queries, return_tensors='pt', padding=True) + input_ids = model_inputs['input_ids'].to(self.device) + attention_mask = model_inputs['attention_mask'].to(self.device) + eos_token_id = tokenizer.convert_tokens_to_ids(template.sep) + generation_config['eos_token_id'] = eos_token_id + generation_output = self.generate( + pixel_values=pixel_values, + input_ids=input_ids, + attention_mask=attention_mask, + **generation_config + ) + responses = tokenizer.batch_decode(generation_output, skip_special_tokens=True) + responses = [response.split(template.sep)[0].strip() for response in responses] + return responses + + def chat(self, tokenizer, pixel_values, question, generation_config, history=None, return_history=False, + num_patches_list=None, IMG_START_TOKEN='', IMG_END_TOKEN='', IMG_CONTEXT_TOKEN='', + verbose=False, analysis=False): + + if history is None and pixel_values is not None and '' not in question: + question = '\n' + question + + if num_patches_list is None: + num_patches_list = [pixel_values.shape[0]] if pixel_values is not None else [] + assert pixel_values is None or len(pixel_values) == sum(num_patches_list) + + img_context_token_id = tokenizer.convert_tokens_to_ids(IMG_CONTEXT_TOKEN) + self.img_context_token_id = img_context_token_id + + template = get_conv_template(self.template) + template.system_message = self.system_message + eos_token_id = tokenizer.convert_tokens_to_ids(template.sep) + + history = [] if history is None else history + for (old_question, old_answer) in history: + template.append_message(template.roles[0], old_question) + template.append_message(template.roles[1], old_answer) + template.append_message(template.roles[0], question) + template.append_message(template.roles[1], None) + query = template.get_prompt() + if verbose and pixel_values is not None: + image_bs = pixel_values.shape[0] + print(f'dynamic ViT batch size: {image_bs}') + + for num_patches in num_patches_list: + image_tokens = IMG_START_TOKEN + IMG_CONTEXT_TOKEN * self.num_image_token * num_patches + IMG_END_TOKEN + query = query.replace('', image_tokens, 1) + + model_inputs = tokenizer(query, return_tensors='pt') + input_ids = model_inputs['input_ids'].to(self.device) + attention_mask = model_inputs['attention_mask'].to(self.device) + generation_config['eos_token_id'] = eos_token_id + generation_output = self.generate( + pixel_values=pixel_values, + input_ids=input_ids, + attention_mask=attention_mask, + **generation_config + ) + # import ipdb; ipdb.set_trace() + #text = tokenizer.decode(generation_output["sequences"][0]).strip() + + response = tokenizer.batch_decode(generation_output["sequences"], skip_special_tokens=True)[0] + response = response.split(template.sep)[0].strip() + history.append((question, response)) + if analysis: + return response, generation_output, query + + if return_history: + return response, history + else: + query_to_print = query.replace(IMG_CONTEXT_TOKEN, '') + query_to_print = query_to_print.replace(f'{IMG_START_TOKEN}{IMG_END_TOKEN}', '') + if verbose: + print(query_to_print, response) + return response + + @torch.no_grad() + def generate( + self, + pixel_values: Optional[torch.FloatTensor] = None, + input_ids: Optional[torch.FloatTensor] = None, + attention_mask: Optional[torch.LongTensor] = None, + visual_features: Optional[torch.FloatTensor] = None, + generation_config: Optional[GenerationConfig] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + **generate_kwargs, + ) -> torch.LongTensor: + + assert self.img_context_token_id is not None + if pixel_values is not None: + if visual_features is not None: + vit_embeds = visual_features + else: + vit_embeds = self.extract_feature(pixel_values) + input_embeds = self.language_model.get_input_embeddings()(input_ids) + B, N, C = input_embeds.shape + input_embeds = input_embeds.reshape(B * N, C) + + input_ids = input_ids.reshape(B * N) + selected = (input_ids == self.img_context_token_id) + assert selected.sum() != 0 + input_embeds[selected] = vit_embeds.reshape(-1, C).to(input_embeds.device) + + input_embeds = input_embeds.reshape(B, N, C) + else: + input_embeds = self.language_model.get_input_embeddings()(input_ids) + + outputs = self.language_model.generate( + inputs_embeds=input_embeds, + attention_mask=attention_mask, + generation_config=generation_config, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + use_cache=True, + **generate_kwargs, + ) + return outputs diff --git a/src/utils/options.py b/src/utils/options.py new file mode 100644 index 0000000..90ab482 --- /dev/null +++ b/src/utils/options.py @@ -0,0 +1,15 @@ +"""Implement an ArgParser common to both brew_poison.py and dist_brew_poison.py .""" + +import argparse + +def options(): + parser = argparse.ArgumentParser(description='Construct poisoned training data for the given network and dataset') + + parser.add_argument('--f') + # Central: + parser.add_argument('--model', default='codeLlama', type=str) + parser.add_argument('--close_model', default='claude', type=str) + parser.add_argument('--setting', default='buggy_COT', type=str) + parser.add_argument('--session', default=1, type=int) + + return parser \ No newline at end of file diff --git a/src/utils/utils.py b/src/utils/utils.py index 814af4f..5ff2ea5 100644 --- a/src/utils/utils.py +++ b/src/utils/utils.py @@ -35,6 +35,7 @@ from enum import Enum from tqdm import tqdm +import ipdb def truncatefn(s, length=300): @@ -94,19 +95,22 @@ def compute_metrics_from_results(results, k_list=[1, 5]): total = [] correct = [] task_ids = [] + final_res = [] for task_id, res in results.items(): all_correct = [] for generation in res: gen = np.array(generation) all_correct.append(np.all(gen > 0)) + final_res.append([f'{sum(all_correct)}/{len(all_correct)}'] + all_correct) task_ids.append(task_id) total.append(len(all_correct)) correct.append(sum(all_correct)) total = np.array(total) correct = np.array(correct) + # ipdb.set_trace() ks = k_list detail_pass_at_k = { - f"pass@{k}": estimate_pass_at_k(total, correct, k).tolist() + f"pass@{k}": final_res for k in ks if (total >= k).all() } @@ -1016,3 +1020,90 @@ def codegen_metrics( # ), f"{len(final_metadata[i])=}" return [metrics, results, final_metadata] + +# many are copied from https://github.com/mattneary/attention/blob/master/attention/attention.py +# here it nullifies the attention over the first token () +# which in practice we find to be a good idea +from io import BytesIO +from PIL import Image +import requests +import torch +import numpy as np +import cv2 + + +def aggregate_llm_attention(attn): + '''Extract average attention vector''' + avged = [] + for layer in attn: + layer_attns = layer.squeeze(0) + attns_per_head = layer_attns.mean(dim=0) + vec = torch.concat(( + # We zero the first entry because it's what's called + # null attention (https://aclanthology.org/W19-4808.pdf) + torch.tensor([0.]), + # usually there's only one item in attns_per_head but + # on the first generation, there's a row for each token + # in the prompt as well, so take [-1] + attns_per_head[-1][1:].cpu(), + # attns_per_head[-1].cpu(), + # add zero for the final generated token, which never + # gets any attention + torch.tensor([0.]), + )) + avged.append(vec / vec.sum()) + return torch.stack(avged).mean(dim=0) + + +def aggregate_vit_attention(attn, select_layer=-2, all_prev_layers=True): + '''Assuming LLaVA-style `select_layer` which is -2 by default''' + if all_prev_layers: + avged = [] + for i, layer in enumerate(attn): + if i > len(attn) + select_layer: + break + if i > 10: + break + # layer_attns = layer.squeeze(0) + # import ipdb; ipdb.set_trace() + # attns_per_head = layer_attns.mean(dim=0) + vec = layer[1:, :].cpu() # the first token is + avged.append(vec / vec.sum(-1, keepdim=True)) + return torch.stack(avged).mean(dim=0) + else: + layer = attn[select_layer] + layer_attns = layer.squeeze(0) + # attns_per_head = layer_attns.mean(dim=0) + vec = layer_attns[1:, :].cpu() + return vec / vec.sum(-1, keepdim=True) + + +def heterogenous_stack(vecs): + '''Pad vectors with zeros then stack''' + max_length = max(v.shape[0] for v in vecs) + return torch.stack([ + torch.concat((v, torch.zeros(max_length - v.shape[0]))) + for v in vecs + ]) + + +def load_image(image_path_or_url): + if image_path_or_url.startswith('http://') or image_path_or_url.startswith('https://'): + response = requests.get(image_path_or_url) + image = Image.open(BytesIO(response.content)).convert('RGB') + else: + image = Image.open(image_path_or_url).convert('RGB') + return image + + +def show_mask_on_image(img, mask): + img = np.float32(img) / 255 + heatmap = cv2.applyColorMap(np.uint8(255 * mask), cv2.COLORMAP_HSV) + hm = np.float32(heatmap) / 255 + cam = hm + np.float32(img) + cam = cam / np.max(cam) + return np.uint8(255 * cam), heatmap + +def write(content, file): + with open(file, 'a') as f: + f.write(content + '\n') \ No newline at end of file diff --git a/step_token_attention.png b/step_token_attention.png new file mode 100644 index 0000000..eaeefc3 Binary files /dev/null and b/step_token_attention.png differ diff --git a/steps_attention.txt b/steps_attention.txt new file mode 100644 index 0000000..ad201bb --- /dev/null +++ b/steps_attention.txt @@ -0,0 +1,30 @@ +1. Step: 0.14873486757278442 +2. Step: 0.7441443204879761 +3. Step: 0.6936540603637695 +4. Step: 0.6534028649330139 +5. Step: 0.6675217747688293 +6. Step: 0.6788488030433655 +7. Step: 0.594817042350769 +8. Step: 0.6469281911849976 +9. Step: 0.6889379620552063 +10. Step: 0.7043188214302063 +11. Step: 0.7331119775772095 +12. Step: 0.7352339625358582 +13. Step: 0.7538632154464722 +15. Step: 0.44126275181770325 +16. Step: 0.0895366445183754 +17. Step: 0.06712263077497482 +18. Step: 0.0768669992685318 +19. Step: 0.0840366929769516 +20. Step: 0.05007240176200867 +21. Step: 0.07819443196058273 +22. Step: 0.06805625557899475 +23. Step: 0.08223900943994522 +24. Step: 0.11228431761264801 +25. Step: 0.10634875297546387 +26. Step: 0.05297001078724861 +27. Step: 0.039855048060417175 +28. Step: 0.041788458824157715 +29. Step: 0.07282333821058273 +30. Step: 0.04512695223093033 +31. Step: 0.04248037934303284 diff --git a/steps_attention/solution.txt b/steps_attention/solution.txt new file mode 100644 index 0000000..3bcf0f9 --- /dev/null +++ b/steps_attention/solution.txt @@ -0,0 +1,33 @@ +Let's analyze the given Python code step by step and compare it with the control flow graph (CFG) to identify the problematic line. + +1. **Initialization:** + ```python + S = ['1', '2', '1', '4'] + K = 4 + ``` + - This line initializes the list `S` to `['1', '2', '1', '4']` and the variable `K` to `4`. This corresponds to the node at the top of the CFG. + +2. **First `if` statement:** + ```python + for i in range(len(K)): + if S[i]!= 1: + print(S[i]) + exit() + ``` + - This line iterates over the indices of `K` and checks if the element at index `i` in `S` is not equal to `1`. If it is not equal to `1`, it prints the element and exits the loop. This corresponds to the first `if` node in the CFG. + +3. **Second `if` statement:** + ```python + print(1) + ``` + - This line prints `1`. This corresponds to the second `if` node in the CFG. + +Now, let's identify the problematic line: + +- The first `if` statement uses the `!=` operator to check if the element at index `i` in `S` is not equal to `1`. This corresponds to the first `if` node in the CFG. + +- The second `if` statement prints `1`. This corresponds to the second `if` node in the CFG. + +Therefore, the problematic line is: + +**2: print(1)** \ No newline at end of file diff --git a/steps_attention/step_1_Initialization.png b/steps_attention/step_1_Initialization.png new file mode 100644 index 0000000..4f0106d Binary files /dev/null and b/steps_attention/step_1_Initialization.png differ diff --git a/steps_attention/step_2_First_`if`_statement.png b/steps_attention/step_2_First_`if`_statement.png new file mode 100644 index 0000000..1a532f4 Binary files /dev/null and b/steps_attention/step_2_First_`if`_statement.png differ diff --git a/steps_attention/step_3_Second_`if`_statement.png b/steps_attention/step_3_Second_`if`_statement.png new file mode 100644 index 0000000..7c18e53 Binary files /dev/null and b/steps_attention/step_3_Second_`if`_statement.png differ diff --git a/token_attention.png b/token_attention.png new file mode 100644 index 0000000..b29fe02 Binary files /dev/null and b/token_attention.png differ