mirror of
https://github.com/saymrwulf/onnxruntime.git
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5350abe19d
this is a big PR. we are going to move it up to layer_dev , which is still a L3 so we are still safe to do work there agile. we are going to move this into the L3 so that ryan can start doing intergration testing. we will pause for a full code review and integration test result prior to going into the L2. >>>> raw comments from previous commits >>> * LearningModelSession is cleaned up to use the adapter, and parts of binding are. * moved everything in the winmladapter made it all nano-com using, WRL to construct objects in the ORT side. base interfaces for everythign for winml to call cleaned up a bunch of winml to use the base interfaces. * more pieces * GetData across the abi. * renamed some namepsace cleaned up OrtValue cleaned up Tensor cleaned up custom ops. everything *but* learnignmodel should be clean * make sure it's building. winml.dll is still a monolith.
39 lines
1.6 KiB
C++
39 lines
1.6 KiB
C++
// Copyright (c) Microsoft Corporation.
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// Licensed under the MIT License.
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#pragma once
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#include "core/providers/dml/DmlExecutionProvider/src/AbiCustomRegistry.h"
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namespace Windows::AI::MachineLearning::Adapter{
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// An implementation of AbiCustomRegistry that emits telemetry events when operator kernels or schemas are registered.
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class AbiCustomRegistryImpl : public AbiCustomRegistry {
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public:
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HRESULT STDMETHODCALLTYPE RegisterOperatorSetSchema(
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const MLOperatorSetId* op_set_id,
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int baseline_version,
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const MLOperatorSchemaDescription* const* schema,
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uint32_t schema_count,
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_In_opt_ IMLOperatorTypeInferrer* type_inferrer,
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_In_opt_ IMLOperatorShapeInferrer* shape_inferrer) const noexcept override;
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HRESULT STDMETHODCALLTYPE RegisterOperatorKernel(
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const MLOperatorKernelDescription* operator_kernel,
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IMLOperatorKernelFactory* operator_kernel_factory,
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_In_opt_ IMLOperatorShapeInferrer* shape_inferrer,
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bool is_internal_operator,
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bool can_alias_first_input,
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bool supports_graph,
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const uint32_t* required_input_count_for_graph = nullptr,
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bool requires_float_formats_for_graph = false,
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_In_reads_(constant_cpu_input_count) const uint32_t* required_constant_cpu_inputs = nullptr,
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uint32_t constant_cpu_input_count = 0) const noexcept override;
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HRESULT STDMETHODCALLTYPE RegisterOperatorKernel(
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const MLOperatorKernelDescription* op_kernel,
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IMLOperatorKernelFactory* operator_kernel_factory,
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_In_opt_ IMLOperatorShapeInferrer* shape_inferrer) const noexcept override;
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};
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} // namespace winrt::Windows::AI::MachineLearning::Adapter
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