mirror of
https://github.com/saymrwulf/onnxruntime.git
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winml/ was previously excluded from lintrunner config. This change includes the directory and adds the clang-format config file specific to winml/ that fits existing style. --------- Signed-off-by: Justin Chu <justinchu@microsoft.com>
83 lines
2.9 KiB
C++
83 lines
2.9 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 "adapter/pch.h"
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#include "winml_adapter_c_api.h"
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#include "core/session/ort_apis.h"
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#include "winml_adapter_apis.h"
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#include "core/framework/error_code_helper.h"
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#include "core/framework/execution_provider.h"
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namespace winmla = Windows::AI::MachineLearning::Adapter;
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struct OrtAllocatorWrapper : public OrtAllocator {
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public:
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OrtAllocatorWrapper(onnxruntime::AllocatorPtr impl) : impl_(impl) {
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version = ORT_API_VERSION;
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Alloc = AllocImpl;
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Free = FreeImpl;
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Info = InfoImpl;
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}
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static void* ORT_API_CALL AllocImpl(struct OrtAllocator* this_, size_t size) {
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return static_cast<OrtAllocatorWrapper*>(this_)->impl_->Alloc(size);
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}
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static void ORT_API_CALL FreeImpl(struct OrtAllocator* this_, void* p) {
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return static_cast<OrtAllocatorWrapper*>(this_)->impl_->Free(p);
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}
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static const struct OrtMemoryInfo* ORT_API_CALL InfoImpl(const struct OrtAllocator* this_) {
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return &(static_cast<const OrtAllocatorWrapper*>(this_)->impl_->Info());
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}
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private:
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onnxruntime::AllocatorPtr impl_;
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};
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ORT_API_STATUS_IMPL(winmla::ExecutionProviderSync, _In_ OrtExecutionProvider* provider) {
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API_IMPL_BEGIN
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const auto execution_provider = reinterpret_cast<onnxruntime::IExecutionProvider*>(provider);
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ORT_API_RETURN_IF_STATUS_NOT_OK(execution_provider->Sync());
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return nullptr;
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API_IMPL_END
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}
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ORT_API_STATUS_IMPL(
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winmla::GetProviderAllocator, _In_ OrtSession* session, _In_ OrtExecutionProvider* provider, OrtAllocator** allocator
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) {
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API_IMPL_BEGIN
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auto inference_session = reinterpret_cast<::onnxruntime::InferenceSession*>(session);
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const auto execution_provider = reinterpret_cast<onnxruntime::IExecutionProvider*>(provider);
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OrtMemoryInfo mem_info(
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"", OrtAllocatorType::OrtDeviceAllocator, execution_provider->GetOrtDeviceByMemType(::OrtMemType::OrtMemTypeDefault)
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);
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auto allocator_ptr = inference_session->GetAllocator(mem_info);
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*allocator = new (std::nothrow) OrtAllocatorWrapper(allocator_ptr);
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if (*allocator == nullptr) {
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return OrtApis::CreateStatus(ORT_FAIL, "Out of memory");
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}
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return nullptr;
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API_IMPL_END
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}
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ORT_API_STATUS_IMPL(winmla::GetProviderMemoryInfo, _In_ OrtExecutionProvider* provider, OrtMemoryInfo** memory_info) {
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API_IMPL_BEGIN
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const auto execution_provider = reinterpret_cast<onnxruntime::IExecutionProvider*>(provider);
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auto device = execution_provider->GetOrtDeviceByMemType(::OrtMemType::OrtMemTypeDefault);
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*memory_info = new (std::nothrow) OrtMemoryInfo("", ::OrtAllocatorType::OrtDeviceAllocator, device);
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if (*memory_info == nullptr) {
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return OrtApis::CreateStatus(ORT_FAIL, "Out of memory");
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}
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return nullptr;
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API_IMPL_END
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}
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ORT_API_STATUS_IMPL(winmla::FreeProviderAllocator, _In_ OrtAllocator* allocator) {
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API_IMPL_BEGIN
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delete static_cast<OrtAllocatorWrapper*>(allocator);
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return nullptr;
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API_IMPL_END
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}
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