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neilisaac / torch   python

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Version: 1.8.0 

/ include / ATen / native / ReduceOps.h

#pragma once

#include <ATen/ATen.h>
#include <ATen/native/DispatchStub.h>
#include <c10/util/Optional.h>

namespace at {
  struct TensorIterator;
}

namespace at { namespace native {

using reduce_fn = void(*)(TensorIterator &);

DECLARE_DISPATCH(reduce_fn, sum_stub);
DECLARE_DISPATCH(reduce_fn, nansum_stub);
DECLARE_DISPATCH(reduce_fn, prod_stub);
DECLARE_DISPATCH(reduce_fn, mean_stub);
DECLARE_DISPATCH(reduce_fn, and_stub);
DECLARE_DISPATCH(reduce_fn, or_stub);
DECLARE_DISPATCH(reduce_fn, min_values_stub);
DECLARE_DISPATCH(reduce_fn, max_values_stub);
DECLARE_DISPATCH(reduce_fn, argmax_stub);
DECLARE_DISPATCH(reduce_fn, argmin_stub);

using reduce_std_var_function =
  void (*)(TensorIterator&, bool unbiased, bool take_sqrt);
DECLARE_DISPATCH(reduce_std_var_function, std_var_stub);

using reduce_norm_fn =
    void (*)(Tensor&, const Tensor&, Scalar, c10::optional<int64_t>);
DECLARE_DISPATCH(reduce_norm_fn, norm_kernel);

using reduce_fn_flag = void(*)(TensorIterator &, Scalar);
DECLARE_DISPATCH(reduce_fn_flag, norm_stub);

using cum_fn = void (*)(Tensor&, const Tensor&, int64_t);
DECLARE_DISPATCH(cum_fn, cumsum_stub);
DECLARE_DISPATCH(cum_fn, cumprod_stub);
DECLARE_DISPATCH(cum_fn, logcumsumexp_stub);

}} // namespace at::native