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https://github.com/saymrwulf/onnxruntime.git
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50fa151298
### Description Remove the parameter device_id out of ExecutionProvider::GetAllocator() function ### Motivation and Context The parameter device_id is not necessary. We can fully rely on the second parameter OrtMemType mem_type to determine the device_id when getting allocator from executionProvider.
118 lines
4.1 KiB
C++
118 lines
4.1 KiB
C++
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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#pragma once
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#include <string>
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#include <vector>
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#include <unordered_map>
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#include "core/framework/execution_provider.h"
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#include "core/common/status.h"
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#include "core/graph/basic_types.h"
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#include "core/framework/ort_value.h"
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#include "core/session/inference_session.h"
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#include "core/common/logging/logging.h"
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namespace onnxruntime {
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class SessionState;
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/**
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* Input/Output binding.
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* Usage is as follows:
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*
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* InferenceSession session;
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* session.Load();
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* session.Initialize();
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* ...
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* shared_ptr<IOBinding> io_binding;
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* session.NewIOBinding("DML", &io_binding);
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* io_binding->BindInput(...);
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* io_binding->BindInput(...);
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* io_binding->SynchronizeInputs();
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*
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* io_binding->BindOutput(...);
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* io_binding->BindOutput(...);
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*
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* session.Run(io_binding);
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*
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* vector<OrtValue>& outputs = io_binding->GetOutputs();
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*/
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class IOBinding {
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public:
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/**
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* Call repeatedly to bind as many inputs as required.
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* If called again for the same name will replace an existing value.
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* If the input ort_value is not at the desired location (specified by the execution provider), this will
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* copy it to the desired location. This copy may or may not be async. It depends on the exec provider.
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* If the input ort_value is not at the desired location, it should be preallocated
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* If the input ort_value isn't preallocated, it should have memtype of OrtMemTypeDefault
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* For copying it leverages DataTransferManager::CopyTensor().
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*/
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common::Status BindInput(const std::string& name, const OrtValue& ml_value);
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/**
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* If the BindInput calls are async this function acts as a barrier to ensure all inputs are fully copied
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* before you call the Run() method. There is no point calling Run() if you're inputs are not ready at the
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* desired location.
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* This is a blocking call and is a wrapper over IExecutionProvider::Sync().
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* Call InferenceSession::Run() only after calling this method or else you'll end up wasting cycles inside Run().
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*/
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common::Status SynchronizeInputs();
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common::Status SynchronizeOutputs();
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/**
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* Bind an output name to a provided pre-allocated OrtValue.
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*/
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common::Status BindOutput(const std::string& name, const OrtValue& ml_value);
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/**
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* Bind an output name to a device.
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*
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* @param device Device to allocate the output on. Default is CPU.
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*/
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common::Status BindOutput(const std::string& name, OrtDevice device = {});
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/**
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* This simply collects the outputs obtained after calling Run() inside the @param outputs.
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*/
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const std::vector<std::string>& GetOutputNames() const;
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const std::vector<OrtValue>& GetOutputs() const;
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std::vector<OrtValue>& GetOutputs();
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const std::vector<std::string>& GetInputNames() const;
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const std::vector<OrtValue>& GetInputs() const;
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/**
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* Get a CPU allocator from provider for async copy later if the provider supports that
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* If it doesn't support that, return the default allocator from CPU provider
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* \return a nonnull pointer
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*/
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AllocatorPtr GetCPUAllocator(onnxruntime::ProviderType provider_type) const;
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/**
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* clear inputs or outputs. IOBinding is stateful. There are cases we need to reset its state.
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*/
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void ClearOutputs();
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void ClearInputs();
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IOBinding(const SessionState& session_state);
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private:
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friend InferenceSession;
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const SessionState& session_state_;
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std::vector<std::string> feed_names_;
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std::unordered_map<std::string, size_t> mapped_feed_names_;
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std::vector<OrtValue> feeds_;
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std::vector<std::string> output_names_;
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std::unordered_map<std::string, size_t> mapped_output_names_;
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std::vector<OrtValue> outputs_;
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std::vector<OrtDevice> outputs_device_info_;
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ORT_DISALLOW_COPY_ASSIGNMENT_AND_MOVE(IOBinding);
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// device info for all outputs. only used by InferenceSession if the output is not pre-allocated.
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const std::vector<OrtDevice>& GetOutputsDeviceInfo() const;
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// The implementation for the BindOutput() overloads
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common::Status BindOutputImpl(const std::string& name, const OrtValue& ml_value, OrtDevice device);
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};
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} // namespace onnxruntime
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