forked from huawei/mindspore2022
66 lines
2.1 KiB
C++
66 lines
2.1 KiB
C++
/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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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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*/
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#include "kernel/ascend_kernel_mod.h"
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#include "runtime/device/kernel_runtime.h"
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#include "runtime/rt.h"
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#include "include/common/utils/anfalgo.h"
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namespace mindspore {
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namespace kernel {
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void AscendKernelMod::SetAtomicCleanNodes(const std::vector<CNodePtr> &atomic_clean_node) {
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atomic_clean_nodes_.resize(atomic_clean_node.size());
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for (size_t i = 0; i < atomic_clean_node.size(); ++i) {
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atomic_clean_nodes_[i] = atomic_clean_node[i];
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}
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}
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void AscendKernelMod::UpdateOutputSizeList() {
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auto node = anf_node_.lock();
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MS_EXCEPTION_IF_NULL(node);
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auto cnode = node->cast<CNodePtr>();
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for (size_t i = 0; i < output_size_list_.size(); ++i) {
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auto ori_output_size = output_size_list_[i];
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auto real_output_size = AnfAlgo::GetOutputTensorMemSize(cnode, i);
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if (ori_output_size != real_output_size) {
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output_size_list_[i] = real_output_size;
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}
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}
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}
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void AscendKernelMod::UpdateOp() {
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MS_EXCEPTION_IF_NULL(stream_);
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// cppcheck-suppress unreadVariable
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auto lock = device::KernelRuntime::LockRuntime();
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if (RT_ERROR_NONE != rtStreamSynchronize(stream_)) {
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MS_LOG(EXCEPTION) << "Call runtime rtStreamSynchronize failed.";
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}
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}
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bool AscendKernelMod::IsNeedUpdateOp() {
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auto node = anf_node_.lock();
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MS_EXCEPTION_IF_NULL(node);
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auto cnode = node->cast<CNodePtr>();
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MS_EXCEPTION_IF_NULL(cnode);
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auto op_name = common::AnfAlgo::GetCNodeName(cnode);
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if (kComputeDepend.find(op_name) != kComputeDepend.end()) {
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is_need_updateop_ = true;
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}
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return is_need_updateop_;
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}
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} // namespace kernel
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} // namespace mindspore
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