Why Gemfury? Push, build, and install  RubyGems npm packages Python packages Maven artifacts PHP packages Go Modules Bower components Debian packages RPM packages NuGet packages

edgify / torch   python

Repository URL to install this package:

Version: 2.0.1+cpu 

/ include / ATen / native / TensorCompare.h

#pragma once

#include <ATen/native/DispatchStub.h>

namespace c10 {
class Scalar;
}

namespace at {
class Tensor;
struct TensorIterator;
struct TensorIteratorBase;
}

namespace at { namespace native {

using reduce_minmax_fn =
    void (*)(Tensor&, Tensor&, const Tensor&, int64_t, bool);
using structured_reduce_minmax_fn =
    void (*)(const Tensor&, const Tensor&, const Tensor&, int64_t, bool);

DECLARE_DISPATCH(structured_reduce_minmax_fn, max_stub);
DECLARE_DISPATCH(structured_reduce_minmax_fn, min_stub);

using where_fn = void (*)(TensorIterator &);
DECLARE_DISPATCH(where_fn, where_kernel);

using is_infinity_op_fn = void (*)(TensorIteratorBase &);
DECLARE_DISPATCH(is_infinity_op_fn, isposinf_stub);
DECLARE_DISPATCH(is_infinity_op_fn, isneginf_stub);

using mode_fn = void (*)(Tensor&, Tensor&, const Tensor&, int64_t, bool);
DECLARE_DISPATCH(mode_fn, mode_stub);

using clamp_tensor_fn = void (*)(TensorIteratorBase &);
DECLARE_DISPATCH(clamp_tensor_fn, clamp_stub);

namespace detail {
    enum class ClampLimits {Min, Max, MinMax};
}

DECLARE_DISPATCH(void (*)(TensorIteratorBase &, const c10::Scalar&, const c10::Scalar&), clamp_scalar_stub);
DECLARE_DISPATCH(void (*)(TensorIteratorBase &, c10::Scalar), clamp_min_scalar_stub);
DECLARE_DISPATCH(void (*)(TensorIteratorBase &, c10::Scalar), clamp_max_scalar_stub);

using isin_default_fn = void (*)(const Tensor&, const Tensor&, bool, const Tensor&);
DECLARE_DISPATCH(isin_default_fn, isin_default_stub);

}} // namespace at::native