wehub-resource-sync
61 lines
2.4 KiB
C++
61 lines
2.4 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/common/ddim.h"
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#include "paddle/common/flags.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/reshape_grad_kernel.h"
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#include "paddle/phi/kernels/reshape_kernel.h"
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#include "paddle/phi/kernels/view_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 ViewShapeGradKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& out_grad,
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const std::vector<int64_t>& dims,
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DenseTensor* input_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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ReshapeStridedKernel(dev_ctx, out_grad, vectorize(input.dims()), input_grad);
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}
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template <typename Context>
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void ViewDtypeGradKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& out_grad,
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DataType dtype,
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DenseTensor* input_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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ViewDtypeKernel<Context>(dev_ctx, out_grad, input.dtype(), input_grad);
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}
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} // namespace phi
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(view_shape_grad,
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STRIDED,
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phi::ViewShapeGradKernel) {}
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(view_dtype_grad,
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STRIDED,
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phi::ViewDtypeGradKernel) {}
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