Comments (1)
balisujohn
commented on June 7, 2024
This failure I think is mentioned in this issue: #132. Based on my own use of the package, it is fixed in the version of the repo in master, but not in the most current version on pypi. You will need to install via pip the most recent commit: https://stackoverflow.com/questions/13685920/install-specific-git-commit-with-pip. I don't know how to do this with colab. I think this package needs a new PyPi version, since the most recent PyPi version is from 2020.
You might also be able to use an old version of onnx, but I forget specifics.
from pytorch2keras.
Related Issues (20)
- Type error while converting PyTorch model - Input 'y' of 'Mul' Op has type float32 that does not match type int32 of argument 'x'
- Converted keras model has different parameters HOT 1
- ValueError: Operands could not be broadcast together with shapes , when converting with change_ordering HOT 1
- pip install
- "image_data_format": "channels_first", HOT 1
- concatenate axis not getting changed when switching from NCHW mode to NHWC mode
- onnx.optimizer does not exist anymore HOT 2
- Batch Normalization Layers not present in the converted Keras model HOT 1
- AttributeError: 'tuple' object has no attribute 'ndims'
- adding new converters functions for onnx2keras
- cannot import name 'optimizer' from 'onnx' HOT 5
- converts torch model with dtype double (float64) to keras with float32 HOT 1
- TypeError: export() got an unexpected keyword argument 'do_constant_folding'
- Convert NCHW to NHWC
- question
- ValueError: 'onnx::Ma/' is not a valid root scope name. HOT 4
- AttributeError: Number of inputs is not equal 1 for unsqueeze layer
- Model's Accuracy Drops A Lot after converting
- padding bug HOT 1
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from pytorch2keras.