forked from huawei/mindspore2022
70 lines
2.4 KiB
C++
70 lines
2.4 KiB
C++
/**
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* Copyright 2019 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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#ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_ASCEND_KERNEL_MOD_H_
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#define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_ASCEND_KERNEL_MOD_H_
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#include <vector>
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#include <memory>
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#include "plugin/device/ascend/hal/device/ge_runtime/task_info.h"
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#include "kernel/kernel.h"
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#include "runtime/device/executor/dynamic_kernel.h"
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#ifndef ENABLE_SECURITY
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#include "debug/data_dump/dump_json_parser.h"
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#endif
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using TaskInfoPtr = std::shared_ptr<mindspore::ge::model_runner::TaskInfo>;
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namespace mindspore {
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namespace kernel {
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class AscendKernelMod : public KernelMod {
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public:
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AscendKernelMod() = default;
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explicit AscendKernelMod(const AnfNodePtr &anf_node_ptr) : KernelMod(anf_node_ptr) {}
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virtual std::vector<TaskInfoPtr> GenTask(const std::vector<AddressPtr> &, const std::vector<AddressPtr> &,
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const std::vector<AddressPtr> &, uint32_t) = 0;
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uint32_t block_dim() const { return block_dim_; }
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uint32_t stream_id() const { return stream_id_; }
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virtual bool NeedDump() {
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#ifndef ENABLE_SECURITY
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const auto &dump_json = DumpJsonParser::GetInstance();
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return dump_json.NeedDump(fullname_) && dump_json.async_dump_enabled() && dump_json.op_debug_mode() == 0 &&
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!is_monad_;
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#else
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return false;
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#endif
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}
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void UpdateOp() override;
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bool IsNeedUpdateOp() override;
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void InitDynamicKernel(const CNodePtr &cnode_ptr, void *stream) {
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if (dynamic_kernel_ == nullptr) {
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stream_ = stream;
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dynamic_kernel_ = GenDynamicKernel(cnode_ptr, stream);
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dynamic_kernel_->Initialize();
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}
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}
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device::DynamicKernelPtr DynamicKernel() const { return dynamic_kernel_; }
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protected:
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uint32_t block_dim_{1};
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uint32_t stream_id_{0};
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device::DynamicKernelPtr dynamic_kernel_{nullptr};
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};
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} // namespace kernel
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_ASCEND_KERNEL_MOD_H_
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