wehub-resource-sync
94 lines
3.3 KiB
C++
94 lines
3.3 KiB
C++
// Copyright (c) 2026 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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#pragma once
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#include <ATen/core/Tensor.h>
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namespace at {
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inline std::vector<at::Tensor> split(const at::Tensor& self,
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int64_t split_size,
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int64_t dim = 0) {
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// Calculate number of splits based on split_size
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int64_t dim_size = self._PD_GetInner().dims()[dim];
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std::vector<int64_t> split_sizes;
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for (int64_t i = 0; i < dim_size; i += split_size) {
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split_sizes.push_back(std::min(split_size, dim_size - i));
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}
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auto outputs =
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paddle::experimental::split(self._PD_GetInner(), split_sizes, dim);
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std::vector<at::Tensor> at_tensors;
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at_tensors.reserve(outputs.size());
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for (const auto& paddle_tensor : outputs) {
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at_tensors.emplace_back(paddle_tensor);
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}
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return at_tensors;
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}
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inline std::vector<at::Tensor> split_symint(const at::Tensor& self,
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c10::SymInt split_size,
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int64_t dim = 0) {
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return split(self, static_cast<int64_t>(split_size), dim);
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}
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inline std::vector<at::Tensor> split(const at::Tensor& self,
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at::IntArrayRef split_sizes,
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int64_t dim = 0) {
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auto outputs = paddle::experimental::split(
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self._PD_GetInner(), split_sizes._PD_ToPaddleIntArray(), dim);
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std::vector<at::Tensor> at_tensors;
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at_tensors.reserve(outputs.size());
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for (const auto& paddle_tensor : outputs) {
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at_tensors.emplace_back(paddle_tensor);
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}
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return at_tensors;
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}
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inline std::vector<at::Tensor> split_symint(const at::Tensor& self,
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c10::SymIntArrayRef split_sizes,
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int64_t dim = 0) {
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return split(
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self,
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at::IntArrayRef(reinterpret_cast<const int64_t*>(split_sizes.data()),
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split_sizes.size()),
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dim);
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}
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} // namespace at
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namespace at {
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inline std::vector<at::Tensor> Tensor::split(int64_t split_size,
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int64_t dim = 0) const {
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return at::split(*this, split_size, dim);
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}
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inline std::vector<at::Tensor> Tensor::split_symint(c10::SymInt split_size,
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int64_t dim = 0) const {
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return at::split_symint(*this, split_size, dim);
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}
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inline std::vector<at::Tensor> Tensor::split(at::IntArrayRef split_sizes,
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int64_t dim = 0) const {
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return at::split(*this, split_sizes, dim);
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}
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inline std::vector<at::Tensor> Tensor::split_symint(
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c10::SymIntArrayRef split_sizes, int64_t dim = 0) const {
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return at::split_symint(*this, split_sizes, dim);
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}
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} // namespace at
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