Comments (5)
Thanks for your reply, my configuration is
cvnn 1.0.0
tensorflow 2.3.0
Python 3.8.8
I will try to use the version as yours and see how it works.
from cvnn.
Thanks for your help. It works fine after I update cvnn 1.0.0 to 1.2.8.
from cvnn.
Hello,
Thank you for your interest in this tool.
I just re-runned the example and didn't have this problem. (Just a WARNING but that is expected to happen).
Could you tell me which version of the code are you using?
I am using the following configuration:
cvnn version: 1.2.8
tensorflow version: 2.4.1
Python: 3.7
from cvnn.
Yes please. Let me know if the problem persists.
from cvnn.
Great! I am glad it works now.
Good luck with whatever it is you are doing and don't hesitate to ask again for any new issue that arises. I will reply gladly.
Also, if you are doing any kind of publishing don't forget to cite this library.
Closing the issue now.
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Related Issues (20)
- I'm not getting complex valued output HOT 8
- CVNN API 3D layers HOT 6
- Error: Inputs to a layer should be tensors. Got: <cvnn.layers.core.ComplexInput object at ...> HOT 1
- ValueError: Unknown loss function:ComplexAverageCrossEntropy HOT 3
- Complex data type error with TensorFlow Functional API HOT 2
- 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
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