mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-11 17:48:34 +00:00
cf19c3697d
### Description
Run clang-format in CI. Formatted all c/c++, objective-c/c++ files.
Excluded
```
'onnxruntime/core/mlas/**',
'onnxruntime/contrib_ops/cuda/bert/tensorrt_fused_multihead_attention/**',
```
because they contain assembly or is data heavy
### Motivation and Context
Coding style consistency
63 lines
3.3 KiB
C++
63 lines
3.3 KiB
C++
#pragma once
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// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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#include <string>
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#include "core/common/common.h"
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#include "onnx/onnx_pb.h"
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#include "core/graph/graph.h"
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#include "core/graph/indexed_sub_graph.h"
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#include "core/graph/function.h"
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#include "core/graph/schema_registry.h"
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namespace onnxruntime {
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namespace function_utils {
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/** Create a OpSchema given a subgraph EP want to fuse.
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* This is used when EP return fusion in GetCapability implementation.
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* @param graph The graph which host the subgraph.
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* @param nodes_to_fuse The metadata for the subgraph that EP want to fuse.
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* @param allow_aggregated_tensor_type if true, it will use a type constraint called
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* TAggregatedTypes for all inputs and outputs,
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* and that this will match all tensor types in the all_tensor_types_with_bfloat list.
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*/
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std::unique_ptr<ONNX_NAMESPACE::OpSchema> CreateSchema(const Graph& graph,
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const IndexedSubGraph& nodes_to_fuse,
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bool allow_aggregated_tensor_type = false);
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/** Create a OpSchema given from a local function in onnx model.
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* @param function_domain The domain of the function.
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* @param function_name The name of the function.
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* @param model_local_functions The map of local functions in the same onnx model.
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* This will be used as context for the function's type/shape inference.
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* @param domain_version_map Domain to version map used in current onnx model.
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* @param schema_registry The schema registry current model is using.
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* @param logger The logger current model is using.
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* @param allow_released_opsets_only The flag whether we only enable released opset.
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*/
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std::unique_ptr<ONNX_NAMESPACE::OpSchema> CreateSchema(const std::string& function_domain,
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const std::string& function_name,
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const InlinedHashMap<std::string, const ONNX_NAMESPACE::FunctionProto*>& model_local_functions,
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const std::unordered_map<std::string, int>& domain_version_map,
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const SchemaRegistryManager& schema_registry,
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const logging::Logger& logger,
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bool allow_released_opsets_only);
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/** Get the unique id for function. This is used as a key to find the
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* relevant model local function from it's container.
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* @param function_domain Domain for the function.
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* @param function_name Name of the function. Name should match the OpType of the node which references the function.
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*/
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inline std::string GetFunctionIdentifier(std::string_view function_domain, std::string_view function_name) {
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return function_domain.data() + std::string(":") + function_name.data();
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}
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void Specialize(ONNX_NAMESPACE::FunctionProto& called_function, const ONNX_NAMESPACE::NodeProto calling_node,
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const onnxruntime::NodeAttributes& attr_map, std::string unique_prefix);
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void Specialize(ONNX_NAMESPACE::FunctionProto& called_function, Node& calling_node, std::string unique_prefix);
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} // namespace function_utils
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} // namespace onnxruntime
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