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edgify / torch   python

Repository URL to install this package:

Version: 2.0.1+cpu 

/ include / ATen / native / cpu / SoftmaxKernel.h

#pragma once

#include <ATen/native/DispatchStub.h>
#include <cstdint>

namespace at {
class Tensor;

namespace native {

using forward_fn = void (*)(const Tensor&, const Tensor&);
using backward_fn = void(*)(const Tensor &, const Tensor &, const Tensor&);

DECLARE_DISPATCH(forward_fn, softmax_lastdim_kernel);
DECLARE_DISPATCH(forward_fn, log_softmax_lastdim_kernel);
DECLARE_DISPATCH(backward_fn, softmax_backward_lastdim_kernel);
DECLARE_DISPATCH(backward_fn, log_softmax_backward_lastdim_kernel);

using forward_fn_with_dim = void(*)(const Tensor &, const Tensor &, const int64_t);
using backward_fn_with_dim =
    void (*)(const Tensor&, const Tensor&, const Tensor&, const int64_t);

DECLARE_DISPATCH(forward_fn_with_dim, softmax_kernel);
DECLARE_DISPATCH(forward_fn_with_dim, log_softmax_kernel);
DECLARE_DISPATCH(backward_fn_with_dim, softmax_backward_kernel);
DECLARE_DISPATCH(backward_fn_with_dim, log_softmax_backward_kernel);
}
}