forked from mindspore-Ecosystem/mindspore
105 lines
4.9 KiB
C++
105 lines
4.9 KiB
C++
/**
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* Copyright 2022 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 "include/transform/graph_ir/utils.h"
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#include <string>
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#include <utility>
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#include <map>
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#include "securec/include/securec.h"
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#include "include/common/utils/convert_utils.h"
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#include "include/common/utils/utils.h"
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#include "transform/graph_ir/df_graph_manager.h"
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#include "transform/graph_ir/op_adapter_map.h"
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#include "transform/graph_ir/op_adapter.h"
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#include "transform/graph_ir/op_adapter_desc.h"
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#include "transform/graph_ir/op_adapter_util.h"
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#include "graph/operator.h"
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namespace ge {
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void Operator::InputRegister(char const *, char const *) {}
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void Operator::OutputRegister(char const *, char const *) {}
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void Operator::OptionalInputRegister(char const *, char const *) {}
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void Operator::DynamicInputRegister(char const *, unsigned int, char const *, bool) {}
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void Operator::DynamicOutputRegister(char const *, unsigned int, char const *, bool) {}
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std::string Operator::GetOpType() const { return ""; }
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} // namespace ge
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namespace mindspore {
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namespace transform {
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namespace {
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const size_t kErrorSize = 0;
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static std::map<MeDataType, size_t> datatype_size_map = {
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{MeDataType::kNumberTypeFloat16, sizeof(float) / 2}, {MeDataType::kNumberTypeFloat32, sizeof(float)}, // 1/2 of float
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{MeDataType::kNumberTypeFloat64, sizeof(double)}, {MeDataType::kNumberTypeInt8, sizeof(int8_t)},
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{MeDataType::kNumberTypeInt16, sizeof(int16_t)}, {MeDataType::kNumberTypeInt32, sizeof(int32_t)},
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{MeDataType::kNumberTypeInt64, sizeof(int64_t)}, {MeDataType::kNumberTypeUInt8, sizeof(uint8_t)},
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{MeDataType::kNumberTypeUInt16, sizeof(uint16_t)}, {MeDataType::kNumberTypeUInt32, sizeof(uint32_t)},
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{MeDataType::kNumberTypeUInt64, sizeof(uint64_t)}, {MeDataType::kNumberTypeBool, sizeof(bool)}};
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mindspore::HashMap<std::string, OpAdapterDescPtr> adpt_map_ = {
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{kNameCustomOp, std::make_shared<OpAdapterDesc>(std::make_shared<OpAdapter<Operator>>())}};
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} // namespace
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size_t TransformUtil::GetDataTypeSize(const MeDataType &type) {
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if (datatype_size_map.find(type) != datatype_size_map.end()) {
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return datatype_size_map[type];
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} else {
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MS_LOG(ERROR) << "Illegal tensor data type!";
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return kErrorSize;
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}
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}
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AnfGraphPtr GetAnfGraph(uint32_t graph_id) { return nullptr; }
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MeTensorPtr ConvertGeTensor(const GeTensorPtr ge_tensor, const ShapeVector &request_dims) { return nullptr; }
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MeTensorPtr ConvertGeTensor(const GeTensorPtr &ge_tensor) { return nullptr; }
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MeTensorPtr ConvertGeTensor(const GeTensorPtr &tensor, const TypeId &me_type) { return nullptr; }
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OpAdapterPtr FindAdapter(const std::string &op_name, bool train) { return nullptr; }
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OperatorPtr OpAdapterImpl::GenerateCustomOp(const AnfNodePtr anf) { return nullptr; }
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int OpAdapterImpl::setAttr(const OperatorPtr &op, const std::string &attr_key, const ValuePtr &attr_value) { return 0; }
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int OpAdapterImpl::setAttr(const OperatorPtr &op, const PrimitivePtr &prim) { return 0; }
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int OpAdapterImpl::setAttr(const OperatorPtr &op, const AnfNodePtr &node) { return 0; }
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int OpAdapterImpl::setInput(const OperatorPtr &op, int index, const OutHandler &handle) { return 0; }
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int OpAdapterImpl::setInput(const OperatorPtr &op, int index, const OperatorPtr &input) { return 0; }
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int OpAdapterImpl::setInput(const OperatorPtr &op, int index,
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const std::shared_ptr<std::vector<OutHandler>> &handler_vec) {
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return 0;
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}
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void OpAdapterImpl::updateOutputDesc(const OperatorPtr &op, const abstract::BaseShapePtr &shp, const TypePtr &type,
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const AnfNodePtr &node) {}
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std::map<std::string, ValuePtr> OpAdapterImpl::GetNormalOpAttrList(const AnfNodePtr &node) const { return {}; }
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OutHandler OpAdapterImpl::getOutput(const OperatorPtr &op, int index) {
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OutHandler handler;
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return handler;
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}
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std::vector<OutHandler> OpAdapterImpl::getOutputs(const OperatorPtr &op) const { return std::vector<OutHandler>(); }
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Status OpAdapterImpl::SetOpSubgraphFunc(const OperatorPtr &op, int index,
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const std::shared_ptr<std::vector<DfGraph>> &branches) {
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return SUCCESS;
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}
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Status OpAdapterImpl::SetOpSubgraphFunc(const OperatorPtr &op, const std::shared_ptr<std::vector<DfGraph>> &subgraphs) {
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return SUCCESS;
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}
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bool IsCustomCNode(const mindspore::AnfNodePtr &node) { return true; }
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std::string TransformUtil::NormOpName(const std::string &anf_name) { return ""; }
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} // namespace transform
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} // namespace mindspore
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