mirror of
https://github.com/saymrwulf/onnxruntime.git
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* model building * fix build * winml adapter model building api * model building * make build * make build again * add model building with audio op * inplace and inorder fft * add ifft * works! * cleanup * add comments * switch to iterative rather than recursive and use parallelization * batched parallelization * fft->dft * cleanup * window functions * add melweightmatrix op * updates to make spectrogram test work * push latest * add onesided * cleanup * Clean up building apis and fix mel * cleanup * cleanup * naive stft * fix test output * middle c complete * 3 tones * cleanup * signal def new line * Add save functionality * Perf improvements, 10x improvement * cleanup * use bitreverse lookup table for performance * implement constant initializers for tensors * small changes * add matmul tests * merge issues * support add attribute * add tests for double data type windowfunctions and minor cleanup * stft onesided/and not tests * cleanup * cleanup * clean up * cleanup * remove threading attribute * forward declare orttypeinfo * warnings * fwd declare * fix warnings * 1 more warning * remove saving to e drive... * cleanup and fix stft test * add opset picker * small additions * add onnxruntime tests * add signed/unsigned * fix warning * fix warning * finish onnxruntime tests * make windows namespace build succeed * add experimental flag * add experimental api into nuget package * add experimental api build flag and add to windows ai nuget package * turn experimental for tests * add minimum opset version to new experimental domain * api cleanup * disable ms experimental ops test when --ms_experimental is not enabled * add macro behind flag * remove unused x * pr feedback Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
136 lines
No EOL
8.2 KiB
C++
136 lines
No EOL
8.2 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 "winml_adapter_c_api.h"
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namespace Windows {
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namespace AI {
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namespace MachineLearning {
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namespace Adapter {
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ORT_API(void, ReleaseModel, OrtModel*);
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ORT_API(void, ReleaseExecutionProvider, OrtExecutionProvider*);
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ORT_API_STATUS(OverrideSchema);
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// OrtEnv methods
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ORT_API_STATUS(EnvConfigureCustomLoggerAndProfiler, _In_ OrtEnv* env, OrtLoggingFunction logging_function, OrtProfilingFunction profiling_function, _In_opt_ void* logger_param, OrtLoggingLevel default_warning_level, _In_ const char* logid, _Outptr_ OrtEnv** out);
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// OrtModel methods
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ORT_API_STATUS(CreateModelFromPath, _In_ const char* model_path, _In_ size_t size, _Outptr_ OrtModel** out);
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ORT_API_STATUS(CreateModelFromData, _In_ void* data, _In_ size_t size, _Outptr_ OrtModel** out);
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ORT_API_STATUS(CloneModel, _In_ const OrtModel* in, _Outptr_ OrtModel** out);
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ORT_API_STATUS(ModelGetAuthor, _In_ const OrtModel* model, _Out_ const char** const author, _Out_ size_t* len);
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ORT_API_STATUS(ModelGetName, _In_ const OrtModel* model, _Out_ const char** const name, _Out_ size_t* len);
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ORT_API_STATUS(ModelGetDomain, _In_ const OrtModel* model, _Out_ const char** const domain, _Out_ size_t* len);
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ORT_API_STATUS(ModelGetDescription, _In_ const OrtModel* model, _Out_ const char** const description, _Out_ size_t* len);
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ORT_API_STATUS(ModelGetVersion, _In_ const OrtModel* model, _Out_ int64_t* version);
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ORT_API_STATUS(ModelGetInputCount, _In_ const OrtModel* model, _Out_ size_t* count);
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ORT_API_STATUS(ModelGetOutputCount, _In_ const OrtModel* model, _Out_ size_t* count);
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ORT_API_STATUS(ModelGetInputName, _In_ const OrtModel* model, _In_ size_t index, _Out_ const char** input_name, _Out_ size_t* count);
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ORT_API_STATUS(ModelGetOutputName, _In_ const OrtModel* model, _In_ size_t index, _Out_ const char** output_name, _Out_ size_t* count);
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ORT_API_STATUS(ModelGetInputDescription, _In_ const OrtModel* model, _In_ size_t index, _Out_ const char** input_description, _Out_ size_t* count);
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ORT_API_STATUS(ModelGetOutputDescription, _In_ const OrtModel* model, _In_ size_t index, _Out_ const char** output_description, _Out_ size_t* count);
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ORT_API_STATUS(ModelGetInputTypeInfo, _In_ const OrtModel* model, _In_ size_t index, _Outptr_ OrtTypeInfo** type_info);
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ORT_API_STATUS(ModelGetOutputTypeInfo, _In_ const OrtModel* model, _In_ size_t index, _Outptr_ OrtTypeInfo** type_info);
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ORT_API_STATUS(ModelGetMetadataCount, _In_ const OrtModel* model, _Out_ size_t* count);
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ORT_API_STATUS(ModelGetMetadata, _In_ const OrtModel* model, _In_ size_t count, _Out_ const char** const key, _Out_ size_t* key_len, _Out_ const char** const value, _Out_ size_t* value_len);
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ORT_API_STATUS(ModelEnsureNoFloat16, _In_ const OrtModel* model);
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ORT_API_STATUS(SaveModel, _In_ const OrtModel* in, _In_ const wchar_t* const file_name, _In_ size_t len);
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ORT_API_STATUS(OrtSessionOptionsAppendExecutionProviderEx_DML, _In_ OrtSessionOptions* options, _In_ ID3D12Device* d3d_device, _In_ ID3D12CommandQueue* cmd_queue, bool metacommands_enabled);
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// OrtSession methods
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ORT_API_STATUS(CreateSessionWithoutModel, _In_ OrtEnv* env, _In_ const OrtSessionOptions* options, _Outptr_ OrtSession** session);
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//Do not release provider... as there is no release method available
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ORT_API_STATUS(SessionGetExecutionProvider, _In_ OrtSession* session, _In_ size_t index, _Out_ OrtExecutionProvider** provider);
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ORT_API_STATUS(SessionInitialize, _In_ OrtSession* session);
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ORT_API_STATUS(SessionLoadAndPurloinModel, _In_ OrtSession* session, _In_ OrtModel* model);
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ORT_API_STATUS(SessionStartProfiling, _In_ OrtEnv* env, _In_ OrtSession* session);
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ORT_API_STATUS(SessionEndProfiling, _In_ OrtSession* session);
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ORT_API_STATUS(SessionRegisterGraphTransformers, _In_ OrtSession* session);
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ORT_API_STATUS(SessionRegisterCustomRegistry, _In_ OrtSession* session, _In_ IMLOperatorRegistry* registry);
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ORT_API_STATUS(SessionCopyOneInputAcrossDevices, _In_ OrtSession* session, _In_ const char* const input_name, _In_ OrtValue* orig_value, _Outptr_ OrtValue** new_value);
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ORT_API_STATUS(SessionGetNumberOfIntraOpThreads, _In_ OrtSession* session, _Out_ uint32_t* num_threads);
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ORT_API_STATUS(SessionGetNamedDimensionsOverrides, _In_ OrtSession* session, _Out_ winrt::Windows::Foundation::Collections::IMapView<winrt::hstring, uint32_t>& overrides);
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// Dml methods (TODO need to figure out how these need to move to session somehow...)
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ORT_API_STATUS(DmlExecutionProviderSetDefaultRoundingMode, _In_ OrtExecutionProvider* dml_provider, _In_ bool is_enabled);
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ORT_API_STATUS(DmlExecutionProviderFlushContext, _In_ OrtExecutionProvider* dml_provider);
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ORT_API_STATUS(DmlExecutionProviderReleaseCompletedReferences, _In_ OrtExecutionProvider* dml_provider);
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ORT_API_STATUS(DmlCreateGPUAllocationFromD3DResource, _In_ ID3D12Resource* pResource, _Out_ void** dml_resource);
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ORT_API_STATUS(DmlGetD3D12ResourceFromAllocation, _In_ OrtExecutionProvider* provider, _In_ void* allocation, _Out_ ID3D12Resource** resource);
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ORT_API_STATUS(DmlFreeGPUAllocation, _In_ void* ptr);
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// note: this returns a weak ref
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ORT_API_STATUS(GetProviderMemoryInfo, _In_ OrtExecutionProvider* provider, OrtMemoryInfo** memory_info);
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ORT_API_STATUS(GetProviderAllocator, _In_ OrtExecutionProvider* provider, OrtAllocator** allocator);
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ORT_API_STATUS(FreeProviderAllocator, _In_ OrtAllocator* allocator);
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ORT_API_STATUS(GetValueMemoryInfo, const OrtValue* value, OrtMemoryInfo** memory_info);
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// ExecutionProvider Methods
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ORT_API_STATUS(ExecutionProviderSync, _In_ OrtExecutionProvider* provider);
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ORT_API_STATUS(DmlCopyTensor, _In_ OrtExecutionProvider* provider, _In_ OrtValue* src, _In_ OrtValue* dst);
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ORT_API_STATUS(CreateCustomRegistry, _Out_ IMLOperatorRegistry** registry);
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ORT_API_STATUS(ValueGetDeviceId, _In_ OrtValue* ort_value, _Out_ int16_t* device_id);
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ORT_API_STATUS(SessionGetInputRequiredDeviceId, _In_ OrtSession* session, _In_ const char* const input_name, _Out_ int16_t* device_id);
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// Model Building
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ORT_API_STATUS(CreateTensorTypeInfo, _In_ const int64_t* shape, size_t shape_len, ONNXTensorElementDataType type, _Out_ OrtTypeInfo** type_info);
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ORT_API_STATUS(CreateSequenceTypeInfo, _Out_ OrtTypeInfo** type_info);
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ORT_API_STATUS(CreateMapTypeInfo, _Out_ OrtTypeInfo** type_info);
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ORT_API_STATUS(CreateModel, _In_ int64_t opset, _Outptr_ OrtModel** out);
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ORT_API_STATUS(ModelAddInput, _In_ OrtModel* model, _In_ const char* const input_name, _In_ OrtTypeInfo* info);
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ORT_API_STATUS(ModelAddConstantInput, _In_ OrtModel* model, _In_ const char* const input_name, _In_ OrtTypeInfo* info, _In_ OrtValue* value);
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ORT_API_STATUS(ModelAddOutput, _In_ OrtModel* model, _In_ const char* const output_name, _In_ OrtTypeInfo* info);
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ORT_API_STATUS(ModelAddOperator,
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_In_ OrtModel* model,
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_In_ const char* const op_type,
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_In_ const char* const op_name,
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_In_ int64_t opset,
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_In_ const char* const op_domain,
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_In_ const char* const* input_names, _In_ size_t num_inputs,
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_In_ const char* const* output_names, _In_ size_t num_outputs,
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_In_ const char* const* attribute_names, _In_ OrtValue** attribute_values, _In_ size_t num_attributes);
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ORT_API_STATUS(ModelGetOpsetVersion, _In_ OrtModel* model, _In_ const char* const domain, _Out_ int32_t* version);
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ORT_API_STATUS(OperatorGetNumInputs,
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_In_ const char* const op_type,
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_In_ int64_t opset,
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_In_ const char* const op_domain,
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_Out_ size_t* num_inputs);
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ORT_API_STATUS(OperatorGetInputName,
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_In_ const char* const op_type,
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_In_ int64_t opset,
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_In_ const char* const op_domain,
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_In_ size_t index,
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_Out_ const char** const name);
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ORT_API_STATUS(OperatorGetNumOutputs,
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_In_ const char* const op_type,
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_In_ int64_t opset,
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_In_ const char* const op_domain,
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_Out_ size_t* num_inputs);
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ORT_API_STATUS(OperatorGetOutputName,
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_In_ const char* const op_type,
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_In_ int64_t opset,
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_In_ const char* const op_domain,
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_In_ size_t index,
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_Out_ const char** const name);
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// maps and sequences???
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//ONNX_NAMESPACE::OpSchemaRegistry::DomainToVersionRange().Map().at(ONNX_NAMESPACE::ONNX_DOMAIN).second
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} // namespace Adapter
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} // namespace MachineLearning
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} // namespace AI
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} // namespace Windows
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