Comments (4)
gmalivenko
commented on May 17, 2024
Hello @Golbstein.
Yes, I plan to rewrite graph traverse function. It works for very simple models with PyTorch 1.0.
If you'll send me a log with errors, I can fix it in future.
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Golbstein
commented on May 17, 2024
Actually I think the problem is with my machine...
When I run this code in my laptop it works (windows) but when I run it on my linux server it throws me "Segmentation fault (core dumped)" error. Do you know what's that?
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gmalivenko
commented on May 17, 2024
Are you sure that PyTorch and Tensorflow works on your machine? My library doesn't have C-backend or any other low-level operations with memory.
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Golbstein
commented on May 17, 2024
yes
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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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