Comments (3)
Hello @zhaozj89.
Can you please tell me more details including package version, tensorflow / keras versions?
Is pytorch2keras was installed with pip? If it was, please, upgrade it to the latest version (I've just updated it).
pip install --upgrade pytorch2keras
from pytorch2keras.
Thanks for the reply. Previously I installed with pip. It works now.
from pytorch2keras.
@nerox8664 would u mind sharing all of your environment? I mean, for example, numpy'version included. The repo work well about a mouth ago, but now, it doesn't work. And, I have upgraded something for the past a mouth.
Thanks.
looking forward to any replies.
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
- How to import pytorch 2 keras? HOT 1
- 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.