wehub-resource-sync
159 lines
5.8 KiB
Plaintext
159 lines
5.8 KiB
Plaintext
// Copyright (c) 2022 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/conv_kernel.h"
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#include "paddle/common/flags.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/impl/conv_kernel_impl.h"
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#include "paddle/phi/kernels/impl/slow_conv_kernel_impl.cuh"
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COMMON_DECLARE_bool(use_accuracy_compatible_kernel);
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namespace phi {
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template <typename T, typename Context>
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void SlowConvDilatedKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& filter,
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const paddle::optional<DenseTensor>& bias,
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const std::vector<int>& strides,
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const std::vector<int>& paddings,
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const std::string& padding_algorithm,
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const std::vector<int>& dilations,
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int groups,
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const std::string& data_format,
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DenseTensor* out) {
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SlowConvForward<T, Context, 2>(dev_ctx,
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input,
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filter,
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bias,
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strides,
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paddings,
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padding_algorithm,
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groups,
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dilations,
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data_format,
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out);
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}
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template <typename T, typename Context>
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void SlowConv3DDilatedKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& filter,
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const paddle::optional<DenseTensor>& bias,
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const std::vector<int>& strides,
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const std::vector<int>& paddings,
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const std::string& padding_algorithm,
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int groups,
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const std::vector<int>& dilations,
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const std::string& data_format,
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DenseTensor* out) {
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SlowConvForward<T, Context, 3>(dev_ctx,
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input,
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filter,
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bias,
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strides,
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paddings,
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padding_algorithm,
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groups,
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dilations,
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data_format,
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out);
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}
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template <typename T, typename Context>
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void ConvKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& filter,
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const std::vector<int>& strides,
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const std::vector<int>& paddings,
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const std::string& padding_algorithm,
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const std::vector<int>& dilations,
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int groups,
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const std::string& data_format,
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DenseTensor* out) {
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ConvKernelImpl<T>(dev_ctx,
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input,
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filter,
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strides,
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paddings,
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padding_algorithm,
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groups,
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dilations,
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data_format,
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out);
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}
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template <typename T, typename Context>
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void Conv3DKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& filter,
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const std::vector<int>& strides,
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const std::vector<int>& paddings,
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const std::string& padding_algorithm,
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int groups,
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const std::vector<int>& dilations,
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const std::string& data_format,
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DenseTensor* out) {
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ConvKernelImpl<T>(dev_ctx,
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input,
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filter,
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strides,
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paddings,
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padding_algorithm,
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groups,
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dilations,
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data_format,
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out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(conv2d,
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GPU,
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ALL_LAYOUT,
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phi::ConvKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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PD_REGISTER_KERNEL(conv3d,
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GPU,
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ALL_LAYOUT,
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phi::Conv3DKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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PD_REGISTER_KERNEL(slow_conv2d_dilated,
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GPU,
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ALL_LAYOUT,
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phi::SlowConvDilatedKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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PD_REGISTER_KERNEL(slow_conv3d_dilated,
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GPU,
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ALL_LAYOUT,
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phi::SlowConv3DDilatedKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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