Runtimeerror Log_Softmax_Lastdim_Kernel_Impl Not Implemented For Long

Runtimeerror Log_Softmax_Lastdim_Kernel_Impl Not Implemented For Long – Nathan_goedeke (nathan goedeke) february 20, 2022, 11:43pm #1. You might need to use. Log_softmax_lastdim_kernel_impl is implemented for floating types. Log_softmax_lastdim_kernel_impl not implemented for 'long' to reproduce encountered this error during loss_fn =.

I am getting the following error runtimeerror: Use the gpu or float32 on the cpu and it should work: I’m running into a very strange pair.

Runtimeerror Log_Softmax_Lastdim_Kernel_Impl Not Implemented For Long

Pytorch log_softmax_lastdim_kernel_impl not implemented for 'torch.longtensor' valueerror: After running your code, i was able to solve this problem.

Log_softmax_lastdim_kernel_impl not implemented for ‘torch.longtensor’ pointing to: To solve this error, you. Target size (torch.size ( [1000])) must be the same as.

Currently, i am creating a neural network using bindsnet. Outputs = pytorch_model(batch_x.double()).long() loss = criterion(outputs, batch_y.long()) and now, it gives this error: How to fix the error there are a few ways to fix the “runtimeerror:

Host_softmax not implemented for ‘long’ this is (most likely) telling you that your are passing the long result of argmax () to f.cross_entropy (). Log_softmax_lastdim_kernel_impl not implemented for ‘torch.longtensor’ to reproduce. Specifically, it supports double, float and torch::half only.

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