Comments (4)
NEGU93
commented on May 30, 2024
I am quite unfamiliar with pytorch.
This library uses tensorflow instead.
It is supposed to already work with GPU anyway, so should not be necessary.
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raj-brown
commented on May 30, 2024
@NEGU93 So I can use HOROVOD type of Framework for this. Right?
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NEGU93
commented on May 30, 2024
Again I ignore what HORVOD is. I won't be able to help you in this matter.
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NEGU93
commented on May 30, 2024
Just a precision. My library is supposed to support everything that tensorflow supports. If you use HOROVOD with tensorflow, it should work with my library too.
If it doesn't, you can creat an issue with the specific problem.
(This also applies with torch parallel but I seriously doubt you can actually use tf and pytorch together in that way).
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Related Issues (20)
- Model subclassing compatibility HOT 4
- load CVNN model with succes HOT 1
- Implement complex-valued constraint parameter HOT 7
- Terrible slow caused by ComplexBatchNormalization() HOT 4
- Custom Activation Functions with tensorflow 2.8.2 HOT 1
- Pytorch implementation HOT 3
- ComplexConv2D with bias vector slows down training a lot HOT 7
- "WARNING:tensorflow: You are casting an input of type complex64 to an incompatible dtype float32. This will discard the imaginary part and may not be what you intended." HOT 5
- ModuleNotFoundError: No module named 'cvnn.montecarlo' HOT 1
- Unknown activation function 'cart_relu': Please ensure this object is passed to 'custom objects' argument HOT 5
- Cant find Complex Softmax which takes complex input and output complex output HOT 1
- Best Activation Function in Complex Domain HOT 1
- using this function layers.complex_input(shape=input_shape + (3,)) gives off dtype error HOT 2
- Problem with loading complex valued model HOT 2
- Equivalent Data PreProcessing for complex-valued input
- Best way to convert Real data into complex data type HOT 2
- Type type error for "ComplexInput" HOT 2
- Error while adding a layer HOT 2
- ValueError: Invalid dtype: complex64 with TF 2.16+ HOT 17
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