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https://github.com/saymrwulf/onnxruntime.git
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eeef157888
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>
87 lines
2.6 KiB
C++
87 lines
2.6 KiB
C++
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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#include "adapter/pch.h"
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#ifdef USE_DML
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#include "abi_custom_registry_impl.h"
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namespace Windows::AI::MachineLearning::Adapter {
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HRESULT STDMETHODCALLTYPE AbiCustomRegistryImpl::RegisterOperatorSetSchema(
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const MLOperatorSetId* opSetId,
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int baseline_version,
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const MLOperatorSchemaDescription* const* schema,
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uint32_t schemaCount,
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_In_opt_ IMLOperatorTypeInferrer* typeInferrer,
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_In_opt_ IMLOperatorShapeInferrer* shapeInferrer
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) const noexcept try {
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#ifdef LAYERING_DONE
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for (uint32_t i = 0; i < schemaCount; ++i) {
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telemetry_helper.RegisterOperatorSetSchema(
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schema[i]->name,
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schema[i]->inputCount,
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schema[i]->outputCount,
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schema[i]->typeConstraintCount,
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schema[i]->attributeCount,
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schema[i]->defaultAttributeCount
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);
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}
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#endif
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// Delegate to base class
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return AbiCustomRegistry::RegisterOperatorSetSchema(
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opSetId, baseline_version, schema, schemaCount, typeInferrer, shapeInferrer
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);
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}
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CATCH_RETURN();
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HRESULT STDMETHODCALLTYPE AbiCustomRegistryImpl::RegisterOperatorKernel(
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const MLOperatorKernelDescription* opKernel,
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IMLOperatorKernelFactory* operatorKernelFactory,
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_In_opt_ IMLOperatorShapeInferrer* shapeInferrer
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) const noexcept {
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return RegisterOperatorKernel(opKernel, operatorKernelFactory, shapeInferrer, nullptr, false, false, false);
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}
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HRESULT STDMETHODCALLTYPE AbiCustomRegistryImpl::RegisterOperatorKernel(
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const MLOperatorKernelDescription* opKernel,
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IMLOperatorKernelFactory* operatorKernelFactory,
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_In_opt_ IMLOperatorShapeInferrer* shapeInferrer,
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_In_opt_ IMLOperatorSupportQueryPrivate* supportQuery,
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bool isInternalOperator,
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bool canAliasFirstInput,
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bool supportsGraph,
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const uint32_t* requiredInputCountForGraph,
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_In_reads_(constantCpuInputCount) const uint32_t* requiredConstantCpuInputs,
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uint32_t constantCpuInputCount
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) const noexcept try {
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#ifdef LAYERING_DONE
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// Log a custom op telemetry if the operator is not a built-in DML operator
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if (!isInternalOperator) {
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telemetry_helper.LogRegisterOperatorKernel(
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opKernel->name, opKernel->domain, static_cast<int>(opKernel->executionType)
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);
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}
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#endif
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// Delegate to base class
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return AbiCustomRegistry::RegisterOperatorKernel(
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opKernel,
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operatorKernelFactory,
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shapeInferrer,
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supportQuery,
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isInternalOperator,
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canAliasFirstInput,
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supportsGraph,
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requiredInputCountForGraph,
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requiredConstantCpuInputs,
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constantCpuInputCount
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);
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}
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CATCH_RETURN();
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} // namespace Windows::AI::MachineLearning::Adapter
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#endif USE_DML
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