wehub-resource-sync
111 lines
3.6 KiB
C++
111 lines
3.6 KiB
C++
// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// The file has been adapted from pytorch project
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// Licensed under BSD-style license -
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// https://github.com/pytorch/pytorch/blob/main/LICENSE
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#pragma once
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#include <ATen/core/Tensor.h>
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#include <c10/core/TensorOptions.h>
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#include <c10/util/OptionalArrayRef.h>
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#include <optional>
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#include <string_view>
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#include "paddle/phi/api/include/api.h"
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namespace at {
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inline at::Tensor sum(const at::Tensor& self,
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::std::optional<at::ScalarType> dtype = ::std::nullopt) {
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// Match PyTorch promotion: integer inputs -> int64; others -> keep input
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// dtype.
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at::ScalarType resolved_dtype;
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if (dtype.has_value()) {
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resolved_dtype = dtype.value();
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} else {
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at::ScalarType input_dtype = self.scalar_type();
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resolved_dtype = at::isIntegralType(input_dtype, /*includeBool=*/true)
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? at::kLong
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: input_dtype;
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}
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return paddle::experimental::sum(
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self._PD_GetInner(),
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{},
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compat::_PD_AtenScalarTypeToPhiDataType(resolved_dtype),
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/*keepdim=*/false);
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}
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inline at::Tensor sum(const at::Tensor& self,
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at::OptionalIntArrayRef dim,
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bool keepdim = false,
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::std::optional<at::ScalarType> dtype = ::std::nullopt) {
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// Match PyTorch promotion: integer inputs -> int64; others -> keep input
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// dtype.
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at::ScalarType resolved_dtype;
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if (dtype.has_value()) {
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resolved_dtype = dtype.value();
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} else {
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at::ScalarType input_dtype = self.scalar_type();
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resolved_dtype = at::isIntegralType(input_dtype, /*includeBool=*/true)
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? at::kLong
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: input_dtype;
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}
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return paddle::experimental::sum(
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self._PD_GetInner(),
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dim.has_value() ? dim.value()._PD_ToPaddleIntArray()
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: paddle::experimental::IntArray(),
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compat::_PD_AtenScalarTypeToPhiDataType(resolved_dtype),
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keepdim);
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}
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inline at::Tensor& sum_out(
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at::Tensor&
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out, // NOLINT: intentional non-const reference for output parameter
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const at::Tensor& self,
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at::OptionalIntArrayRef dim,
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bool keepdim = false,
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::std::optional<at::ScalarType> dtype = ::std::nullopt) {
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auto res = sum(self, dim, keepdim, dtype);
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paddle::experimental::assign_out_(res._PD_GetInner(), out._PD_GetInner());
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return out;
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}
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inline at::Tensor& sum_out(
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at::Tensor&
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out, // NOLINT: intentional non-const reference for output parameter
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const at::Tensor& self,
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::std::optional<at::ScalarType> dtype = ::std::nullopt) {
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auto res = sum(self, dtype);
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paddle::experimental::assign_out_(res._PD_GetInner(), out._PD_GetInner());
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return out;
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}
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} // namespace at
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namespace at {
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inline at::Tensor Tensor::sum(::std::optional<at::ScalarType> dtype) const {
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return at::sum(*this, dtype);
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}
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inline at::Tensor Tensor::sum(at::OptionalIntArrayRef dim,
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bool keepdim,
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::std::optional<at::ScalarType> dtype) const {
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return at::sum(*this, dim, keepdim, dtype);
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}
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} // namespace at
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