pytorch-binary-converter
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The model gradient becomes 0 after adding
After I add float2bit and bit2float to the network, the weight of the convolution model is always 0 when back propagating,I checked that the variables in the code are in cuda and required_grid=true, but the gradient seems to disappear.Can anyone tell me why this problem is happening?