wehub-resource-sync
63 lines
2.1 KiB
C++
63 lines
2.1 KiB
C++
// 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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#pragma once
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#include <cuda_fp16.h>
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#include <vector>
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#include "paddle/phi/kernels/fusion/cutlass/conv2d/conv2d_decl.h"
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#include "cutlass/cutlass.h"
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#include "cutlass/gemm/device/gemm.h"
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#include "cutlass/conv/device/implicit_gemm_convolution.h"
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namespace phi {
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namespace fusion {
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namespace cutlass_internal {
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#define CUTLASS_CHECK(status) \
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if (status != cutlass::Status::kSuccess) { \
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std::cout \
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<< "Cutlass can not deal with this problem size, skip this kernel!" \
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<< std::endl; \
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return status; \
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}
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typedef enum {
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CONV2D_BIAS,
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CONV2D_BIAS_RELU,
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CONV2D_BIAS_ADD_RELU,
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CONV2D_BIAS_ADD,
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CONV2D_BIAS_SILU,
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CONV2D_BIAS_LEAKY_RELU,
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CONV2D_BIAS_SIGMOID,
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CONV2D_BIAS_SILU_ADD,
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CONV2D_DEPTHWISE_BIAS,
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CONV2D_DEPTHWISE_BIAS_RELU,
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CONV2D_DEPTHWISE_BIAS_SIGMOID,
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CONV2D_DEPTHWISE_BIAS_SILU,
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} OpType;
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// conv2d_diff_gpu calculate diff of cutlass output and baseline output, you can
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// use them to debug. return value is the max diff between cutlass and baseline.
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float conv2d_diff_gpu(const ConvAllParams& params, OpType op_type);
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int ProfileToGetBestConfig(
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const std::vector<std::function<cutlass::Status(ConvAllParams)>>& all_func,
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const ConvAllParams& params,
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OpType op_type);
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} // namespace cutlass_internal
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} // namespace fusion
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} // namespace phi
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