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### Description Merge main to WindowsAI ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> --------- Signed-off-by: Nash <george.nash@intel.com> Signed-off-by: Yiming Hu <yiming.hu@amd.com> Signed-off-by: Liqun Fu <liqfu@microsoft.com> Co-authored-by: Kaz Nishimura <kazssym@linuxfront.com> Co-authored-by: Tianlei Wu <tlwu@microsoft.com> Co-authored-by: Nat Kershaw (MSFT) <nakersha@microsoft.com> Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Changming Sun <chasun@microsoft.com> Co-authored-by: zesongw <zesong.wang@intel.com> Co-authored-by: Yi Zhang <zhanyi@microsoft.com> Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com> Co-authored-by: Yifan Li <109183385+yf711@users.noreply.github.com> Co-authored-by: simonjub <78098752+simonjub@users.noreply.github.com> Co-authored-by: PeixuanZuo <94887879+PeixuanZuo@users.noreply.github.com> Co-authored-by: Adrian Lizarraga <adlizarraga@microsoft.com> Co-authored-by: Edward Chen 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134 lines
4.3 KiB
C++
134 lines
4.3 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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#ifdef USE_DML
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#include "core/session/abi_session_options_impl.h"
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#include "core/providers/dml/dml_provider_factory.h"
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#include "core/providers/dml/DmlExecutionProvider/inc/DmlExecutionProvider.h"
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#include <windows.h>
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#endif // USE_DML
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namespace winmla = Windows::AI::MachineLearning::Adapter;
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#ifdef USE_DML
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EXTERN_C IMAGE_DOS_HEADER __ImageBase;
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static std::wstring CurrentModulePath() {
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WCHAR path[MAX_PATH];
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FAIL_FAST_IF(0 == GetModuleFileNameW((HINSTANCE)&__ImageBase, path, _countof(path)));
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WCHAR absolute_path[MAX_PATH];
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WCHAR* name;
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FAIL_FAST_IF(0 == GetFullPathNameW(path, _countof(path), absolute_path, &name));
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auto idx = std::distance(absolute_path, name);
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auto out_path = std::wstring(absolute_path);
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out_path.resize(idx);
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return out_path;
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}
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Microsoft::WRL::ComPtr<IDMLDevice> CreateDmlDevice(ID3D12Device* d3d12Device) {
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// Dynamically load DML to avoid WinML taking a static dependency on DirectML.dll
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auto directml_dll = CurrentModulePath() + L"DirectML.dll";
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wil::unique_hmodule dmlDll(LoadLibraryExW(directml_dll.c_str(), nullptr, 0));
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THROW_LAST_ERROR_IF(!dmlDll);
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auto dmlCreateDevice1Fn =
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reinterpret_cast<decltype(&DMLCreateDevice1)>(GetProcAddress(dmlDll.get(), "DMLCreateDevice1"));
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THROW_LAST_ERROR_IF(!dmlCreateDevice1Fn);
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DML_CREATE_DEVICE_FLAGS dmlFlags = DML_CREATE_DEVICE_FLAG_NONE;
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// Enable the DML debug layer in DEBUG builds, if the D3D12 debug layer is also enabled
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#if _DEBUG
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Microsoft::WRL::ComPtr<ID3D12DebugDevice> d3d12DebugDevice;
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if (SUCCEEDED(d3d12Device->QueryInterface(IID_PPV_ARGS(&d3d12DebugDevice)))) {
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d3d12DebugDevice = nullptr;
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dmlFlags |= DML_CREATE_DEVICE_FLAG_DEBUG;
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}
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#endif // USE_DML
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Microsoft::WRL::ComPtr<IDMLDevice> dmlDevice;
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THROW_IF_FAILED(dmlCreateDevice1Fn(d3d12Device, dmlFlags, DML_FEATURE_LEVEL_2_0, IID_PPV_ARGS(&dmlDevice)));
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// Keep DirectML.dll loaded by leaking the handle. This is equivalent behavior to if we delay-loaded the DLL.
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dmlDll.release();
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return dmlDevice;
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}
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namespace onnxruntime {
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void DmlConfigureProviderFactoryMetacommandsEnabled(IExecutionProviderFactory* factory, bool metacommandsEnabled);
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} // namespace onnxruntime
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#endif // USE_DML
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ORT_API_STATUS_IMPL(
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winmla::OrtSessionOptionsAppendExecutionProviderEx_DML,
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_In_ OrtSessionOptions* options,
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_In_ ID3D12Device* d3d_device,
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_In_ ID3D12CommandQueue* queue,
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bool metacommands_enabled
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) {
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API_IMPL_BEGIN
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#ifdef USE_DML
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auto dml_device = CreateDmlDevice(d3d_device);
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if (auto status = OrtSessionOptionsAppendExecutionProviderEx_DML(options, dml_device.Get(), queue)) {
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return status;
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}
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auto factory = options->provider_factories.back().get();
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onnxruntime::DmlConfigureProviderFactoryMetacommandsEnabled(factory, metacommands_enabled);
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#endif // USE_DML
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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::DmlExecutionProviderFlushContext, _In_ OrtExecutionProvider* dml_provider) {
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API_IMPL_BEGIN
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#ifdef USE_DML
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auto dml_provider_internal = reinterpret_cast<::onnxruntime::IExecutionProvider*>(dml_provider);
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Dml::FlushContext(dml_provider_internal);
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#endif // USE_DML
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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::DmlExecutionProviderReleaseCompletedReferences, _In_ OrtExecutionProvider* dml_provider) {
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API_IMPL_BEGIN
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#ifdef USE_DML
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auto dml_provider_internal = reinterpret_cast<::onnxruntime::IExecutionProvider*>(dml_provider);
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Dml::ReleaseCompletedReferences(dml_provider_internal);
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#endif // USE_DML
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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::DmlCopyTensor, _In_ OrtExecutionProvider* dml_provider, _In_ OrtValue* src, _In_ OrtValue* dst
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) {
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API_IMPL_BEGIN
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#ifdef USE_DML
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auto dml_provider_internal = reinterpret_cast<::onnxruntime::IExecutionProvider*>(dml_provider);
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auto status = Dml::CopyTensor(
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dml_provider_internal, *(src->GetMutable<onnxruntime::Tensor>()), *(dst->GetMutable<onnxruntime::Tensor>())
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);
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if (!status.IsOK()) {
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return onnxruntime::ToOrtStatus(status);
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}
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return nullptr;
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#else
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return OrtApis::CreateStatus(ORT_NOT_IMPLEMENTED, "Out of memory");
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#endif // USE_DML USE_DML
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API_IMPL_END
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}
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