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* commetns for dml graph transformer fixed ort value passing using the allocatir info * fixed and coded maps and sequences across the abi * cleaned up w4's cleaned up the model info ABI delayload directml.dll from winml * cleaned up namepsace aliases. renamed _winmla to winmla this was good PR feedback from tiago a while back. * moved files from inc to lib\api.core cleaned up some of the cmake * staged changes
41 lines
1.7 KiB
C++
41 lines
1.7 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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#ifdef USE_DML
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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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#endif USE_DML
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