chore: import upstream snapshot with attribution
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// 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/core/custom_kernel.h"
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#include "glog/logging.h"
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namespace phi {
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CustomKernelMap& CustomKernelMap::Instance() {
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static CustomKernelMap g_custom_kernel_info_map;
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return g_custom_kernel_info_map;
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}
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void CustomKernelMap::RegisterCustomKernel(const std::string& name,
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const KernelKey& key,
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const Kernel& kernel) {
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PADDLE_ENFORCE_EQ(kernels_[name].find(key),
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kernels_[name].end(),
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common::errors::AlreadyExists(
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"The custom kernel [%s:%s] has been already existed in "
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"CustomKernelMap, please check if any duplicate kernel "
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"info in your lib(s) before load again.",
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name,
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key));
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kernels_[name][key] = kernel;
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}
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void CustomKernelMap::RegisterCustomKernels() {
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VLOG(3) << "Size of custom_kernel_map: " << kernels_.size();
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if (kernels_.empty()) {
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LOG(INFO) << "No custom kernel info found in loaded lib(s).";
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return;
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}
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auto& kernels = KernelFactory::Instance().kernels();
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for (auto& pair : kernels_) {
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for (auto& info_pair : pair.second) {
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PADDLE_ENFORCE_EQ(
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kernels[pair.first].find(info_pair.first),
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kernels[pair.first].end(),
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common::errors::AlreadyExists(
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"The kernel [%s:%s] has been already existed "
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"in Paddle, please contribute PR if it is necessary "
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"to optimize the kernel code. Custom kernel does NOT support "
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"to replace existing kernel in Paddle.",
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pair.first,
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info_pair.first));
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kernels[pair.first][info_pair.first] = info_pair.second;
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VLOG(3) << "Succeed in registering kernel [" << pair.first << ":"
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<< info_pair.first
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<< "] to Paddle. It will be used like native ones.";
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}
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}
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LOG(INFO) << "Succeed in loading " << kernels_.size()
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<< " custom kernel(s) from loaded lib(s), will be "
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<< "used like native ones.";
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kernels_.clear();
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}
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} // namespace phi
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