50 lines
1.7 KiB
C++
50 lines
1.7 KiB
C++
//===- ModelUnderTrainingRunner.cpp - 'development' mode runner -----------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// Implementation of a MLModelRunner for 'development' mode, i.e. evaluation
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// happens off a model that's provided from the command line and is interpreted.
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//
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//===----------------------------------------------------------------------===//
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#include "llvm/Config/config.h"
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#if defined(LLVM_HAVE_TF_API)
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#include "llvm/Analysis/ModelUnderTrainingRunner.h"
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using namespace llvm;
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ModelUnderTrainingRunner::ModelUnderTrainingRunner(
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LLVMContext &Ctx, const std::string &ModelPath,
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const std::vector<TensorSpec> &InputSpecs,
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const std::vector<LoggedFeatureSpec> &OutputSpecs)
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: MLModelRunner(Ctx), OutputSpecs(OutputSpecs) {
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Evaluator = std::make_unique<TFModelEvaluator>(
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ModelPath, InputSpecs, [&](size_t I) { return OutputSpecs[I].Spec; },
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OutputSpecs.size());
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if (!Evaluator || !Evaluator->isValid()) {
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Ctx.emitError("Failed to create inliner saved model evaluator");
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Evaluator.reset();
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return;
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}
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}
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void *ModelUnderTrainingRunner::evaluateUntyped() {
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LastEvaluationResult = Evaluator->evaluate();
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if (!LastEvaluationResult.hasValue()) {
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Ctx.emitError("Error evaluating model.");
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return nullptr;
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}
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return LastEvaluationResult->getUntypedTensorValue(0);
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}
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void *ModelUnderTrainingRunner::getTensorUntyped(size_t Index) {
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return Evaluator->getUntypedInput(Index);
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}
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#endif // defined(LLVM_HAVE_TF_API)
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