wehub-resource-sync
108 lines
4.7 KiB
C++
108 lines
4.7 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/strided_slice_grad_kernel.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/funcs/strided_utils.h"
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#include "paddle/phi/kernels/strided_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 StridedSliceRawGradStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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const std::vector<int>& axes,
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const IntArray& starts,
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const IntArray& ends,
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const IntArray& strides,
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const std::vector<int>& infer_flags,
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const std::vector<int>& decrease_axis,
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DenseTensor* x_grad) {
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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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dev_ctx.Alloc(x_grad, x_grad->dtype());
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x_grad->set_strides(DenseTensorMeta::calc_strides(x_grad->dims()));
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PD_VISIT_ALL_TYPES(x_grad->dtype(), "StridedSliceRawGradStridedKernel", ([&] {
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phi::StridedTensorFill<data_t>(*x_grad, 0, x_grad);
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}));
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if (out_grad.numel() == 0) return;
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DenseTensor tmp;
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tmp.set_layout(out_grad.layout());
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tmp.set_lod(out_grad.lod());
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tmp.set_type(out_grad.dtype());
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tmp.Resize(out_grad.dims());
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StridedSliceRawStridedKernel<Context>(dev_ctx,
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*x_grad,
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axes,
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starts,
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ends,
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strides,
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infer_flags,
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decrease_axis,
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&tmp);
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PD_VISIT_ALL_TYPES(
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out_grad.dtype(), "StridedSliceRawGradStridedKernel", ([&] {
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phi::StridedTensorCopy<data_t>(out_grad,
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vectorize<int64_t>(tmp.dims()),
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vectorize<int64_t>(tmp.strides()),
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tmp.offset(),
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&tmp);
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}));
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}
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template <typename Context>
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void StridedSliceGradStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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const std::vector<int>& axes,
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const IntArray& starts,
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const IntArray& ends,
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const IntArray& strides,
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DenseTensor* x_grad) {
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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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std::vector<int> infer_flags(axes.size(), 1);
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std::vector<int> decrease_axis;
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StridedSliceRawGradStridedKernel<Context>(dev_ctx,
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x,
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out_grad,
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axes,
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starts,
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ends,
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strides,
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infer_flags,
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decrease_axis,
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x_grad);
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}
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} // namespace phi
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(
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strided_slice_raw_grad, STRIDED, phi::StridedSliceRawGradStridedKernel) {}
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(strided_slice_grad,
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STRIDED,
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phi::StridedSliceGradStridedKernel) {}
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