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52 lines
1.9 KiB
52 lines
1.9 KiB
/**
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* Copyright 2019-2020 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 GE_HYBRID_EXECUTOR_INFERSHAPE_SHAPE_INFERENCE_ENGINE_H_
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#define GE_HYBRID_EXECUTOR_INFERSHAPE_SHAPE_INFERENCE_ENGINE_H_
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#include "hybrid/executor/hybrid_execution_context.h"
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#include "hybrid/executor/subgraph_context.h"
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#include <mutex>
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namespace ge {
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namespace hybrid {
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class ShapeInferenceEngine {
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public:
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ShapeInferenceEngine(GraphExecutionContext *execution_context, SubgraphContext *subgraph_context);
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~ShapeInferenceEngine() = default;
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Status InferShape(NodeState &node_state);
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Status InferShapeForSubgraph(const NodeItem &node_item, const FusedSubgraph &fused_subgraph);
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Status PropagateOutputShapes(const NodeItem &node_item);
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static Status CalcOutputTensorSizes(const NodeItem &node_item, bool fallback_with_range = false);
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private:
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static Status CanonicalizeShape(GeTensorDesc &tensor_desc, std::vector<int64_t> &shape, bool fallback_with_range);
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static Status CalcTensorSize(DataType data_type, const std::vector<int64_t> &shape, int64_t &tensor_size);
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static Status UpdatePeerNodeShape(const Node &node);
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Status AwaitDependentNodes(NodeState &node_state);
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GraphExecutionContext *execution_context_;
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SubgraphContext *subgraph_context_;
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std::mutex mu_;
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};
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} // namespace hybrid
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} // namespace ge
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#endif // GE_HYBRID_EXECUTOR_INFERSHAPE_SHAPE_INFERENCE_ENGINE_H_
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