<jupyter_start><jupyter_text><jupyter_code>!pip install onnx-pytorch
from onnx_pytorch import code_gen
code_gen.gen("/content/Resnet34_3inputs_448x448_20200609 (3).onnx", "/content/new")<jupyter_output>WARNING:root:Cannot get default value for dilations of Conv.
WARNING:root:Cannot get default value for kernel_shape of Conv.
WARNING:root:Cannot get default value for pads of Conv.
WARNING:root:Cannot get default value for strides of Conv.
WARNING:root:Cannot get default value for dilations of MaxPool.
WARNING:root:Cannot get default value for kernel_shape of MaxPool.
WARNING:root:Cannot get default value for pads of MaxPool.
WARNING:root:Cannot get default value for strides of MaxPool.
WARNING:root:Cannot get default value for axis of Concat.
WARNING:root:Cannot get default value for dilations of ConvTranspose.
WARNING:root:Cannot get default value for kernel_shape of ConvTranspose.
WARNING:root:Cannot get default value for output_padding of ConvTranspose.
WARNING:root:Cannot get default value for output_shape of ConvTranspose.
WARNING:root:Cannot get default value for pads of ConvTranspose.
WARNING:root:Cannot get default value for strides of ConvTranspose.
{'fraction_non_alphanumeric': 0.059574468085106386, 'fraction_numerical': 0.015319148936170212, 'mean_word_length': 6.788079470198675, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '563087', 'license': 'MIT', 'n_tokens_mistral': 350, 'n_tokens_neox': 326, 'n_words': 129, 'path': 'Untitled31.ipynb', 'repo_name': 'ekdms9835/COCO-with-YOLO', 'size': '1175'}