wehub-resource-sync
89 lines
3.2 KiB
C++
89 lines
3.2 KiB
C++
// Copyright (c) 2023 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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#include "paddle/phi/kernels/split_kernel.h"
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#include "glog/logging.h"
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#include "paddle/common/flags.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/slice_kernel.h"
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COMMON_DECLARE_bool(use_stride_kernel);
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namespace phi {
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template <typename Context>
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void SplitStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& sections UNUSED,
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const Scalar& axis_scalar,
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std::vector<DenseTensor*> outs) {
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if (!FLAGS_use_stride_kernel) {
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PADDLE_THROW(common::errors::Fatal(
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"FLAGS_use_stride_kernel is closed. Strided kernel "
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"be called, something wrong has happened!"));
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}
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int64_t num = static_cast<int64_t>(outs.size());
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int64_t start = 0;
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int axis = axis_scalar.to<int>();
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for (int64_t i = 0; i < num; i++) {
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auto size = outs[i]->dims()[axis];
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SliceStridedKernel<Context>(dev_ctx,
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x,
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{axis},
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IntArray({start}),
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IntArray({start + size}),
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std::vector<int64_t>(),
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std::vector<int64_t>(),
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outs[i]);
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start += size;
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}
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}
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template <typename Context>
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void SplitWithNumStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int num,
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const Scalar& axis_scalar,
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std::vector<DenseTensor*> outs) {
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if (!FLAGS_use_stride_kernel) {
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PADDLE_THROW(common::errors::Fatal(
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"FLAGS_use_stride_kernel is closed. Strided kernel "
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"be called, something wrong has happened!"));
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}
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int axis_value = axis_scalar.to<int>();
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auto input_axis_dim = x.dims().at(axis_value);
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std::vector<int64_t> sections_vec;
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sections_vec.reserve(num);
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for (int i = 0; i < num; ++i) {
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sections_vec.push_back(input_axis_dim / num);
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}
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IntArray sections(sections_vec);
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SplitStridedKernel<Context>(dev_ctx, x, sections, axis_scalar, outs);
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}
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} // namespace phi
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(split_strided,
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STRIDED,
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phi::SplitStridedKernel) {}
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(split_with_num_strided,
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STRIDED,
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phi::SplitWithNumStridedKernel) {}
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