Comments (3)
rbodo
commented on May 22, 2024
Fixed this bug (it was due to the branching directly after the input layer).
However, there seems to be a problem with the final MaxPool layer (the other Pooling layers work fine). Replacing Max by AveragePool also works. I will get back to you with a solution hopefully soon.
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oxygenman
commented on May 22, 2024
OK，thank you very much, I will keep learning your code!
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rbodo
commented on May 22, 2024
OK, all good now. The problem was using data_format 'channels_last' instead of 'channels_first'. Both are now supported. I tested your model with random input and it ran fine.
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Related Issues (20)
- TypeError: can't multiply sequence by non-int of type 'float' HOT 4
- IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices
- SpinnmanIOException: IO Error: Failed to communicate with the machine HOT 7
- Query regarding INI simulator HOT 6
- Conv1D Conversion Normalization Issue HOT 2
- ONNX model could not be ported to Keras.Mismatched elements 100% HOT 1
- Code required for a research paper HOT 2
- ModuleNotFoundError: No module named 'keras_rewiring' HOT 2
- Which neuromorphic hardware does SNNtoolbox simulate ? HOT 3
- Error happened while building parsed model HOT 2
- Key Error HOT 1
- index -1 is out of bounds for axis 1 with size 0 HOT 2
- Membrane Potential Values after spike conv layer. HOT 1
- Loading a a converted SNN .h5 model using 'load_model' HOT 1
- Energy and runtime estimation for running the SNN on neuromorphic simulator HOT 3
- TTTFS dyn thresh and TTFS corrective not working HOT 2
- Poisson Rate Encoding HOT 4
- Quantization HOT 6
- TTFS HOT 1
- Cannot import name 'literal' from typing. HOT 1
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