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| Rev | Author | Line No. | Line |
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| 14 | pmbaty | 1 | //===- ModelUnderTrainingRunner.h -- 'development' mode runner --*- C++ -*-===// |
| 2 | // |
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| 3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
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| 4 | // See https://llvm.org/LICENSE.txt for license information. |
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| 5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
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| 6 | // |
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| 7 | //===----------------------------------------------------------------------===// |
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| 8 | // |
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| 9 | |||
| 10 | #ifndef LLVM_ANALYSIS_MODELUNDERTRAININGRUNNER_H |
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| 11 | #define LLVM_ANALYSIS_MODELUNDERTRAININGRUNNER_H |
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| 12 | |||
| 13 | #include "llvm/ADT/STLExtras.h" |
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| 14 | #include "llvm/ADT/iterator_range.h" |
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| 15 | #include "llvm/Analysis/TensorSpec.h" |
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| 16 | #include "llvm/Config/llvm-config.h" |
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| 17 | |||
| 18 | #ifdef LLVM_HAVE_TFLITE |
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| 19 | #include "llvm/Analysis/MLModelRunner.h" |
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| 20 | #include "llvm/Analysis/Utils/TFUtils.h" |
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| 21 | #include "llvm/IR/LLVMContext.h" |
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| 22 | #include "llvm/IR/PassManager.h" |
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| 23 | |||
| 24 | namespace llvm { |
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| 25 | |||
| 26 | /// ModelUnderTrainingRunner - training mode implementation. It uses TF C APIs |
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| 27 | /// to dynamically load and evaluate a TF SavedModel |
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| 28 | /// (https://www.tensorflow.org/guide/saved_model). Runtime performance is |
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| 29 | /// sacrificed for ease of use while training. |
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| 30 | class ModelUnderTrainingRunner final : public MLModelRunner { |
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| 31 | public: |
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| 32 | // Disallows copy and assign. |
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| 33 | ModelUnderTrainingRunner(const ModelUnderTrainingRunner &) = delete; |
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| 34 | ModelUnderTrainingRunner & |
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| 35 | operator=(const ModelUnderTrainingRunner &) = delete; |
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| 36 | |||
| 37 | const std::vector<TensorSpec> &extraOutputsForLoggingSpecs() const { |
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| 38 | return ExtraOutputsForLogging; |
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| 39 | } |
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| 40 | |||
| 41 | const void *getUntypedExtraOutputValue(size_t ExtraOutputIndex) const { |
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| 42 | return lastEvaluationResult()->getUntypedTensorValue(ExtraOutputIndex + 1); |
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| 43 | } |
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| 44 | |||
| 45 | const std::optional<TFModelEvaluator::EvaluationResult> & |
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| 46 | lastEvaluationResult() const { |
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| 47 | return LastEvaluationResult; |
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| 48 | } |
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| 49 | static bool classof(const MLModelRunner *R) { |
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| 50 | return R->getKind() == MLModelRunner::Kind::Development; |
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| 51 | } |
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| 52 | |||
| 53 | static std::unique_ptr<ModelUnderTrainingRunner> |
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| 54 | createAndEnsureValid(LLVMContext &Ctx, const std::string &ModelPath, |
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| 55 | StringRef DecisionName, |
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| 56 | const std::vector<TensorSpec> &InputSpecs, |
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| 57 | StringRef OutputSpecsPathOverride = ""); |
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| 58 | |||
| 59 | ModelUnderTrainingRunner( |
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| 60 | LLVMContext &Ctx, const std::string &ModelPath, |
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| 61 | const std::vector<TensorSpec> &InputSpecs, |
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| 62 | const std::vector<TensorSpec> &OutputSpecs, |
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| 63 | const std::vector<TensorSpec> &ExtraOutputsForLogging = {}); |
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| 64 | |||
| 65 | bool isValid() const { return !!Evaluator; } |
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| 66 | |||
| 67 | private: |
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| 68 | std::unique_ptr<TFModelEvaluator> Evaluator; |
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| 69 | const std::vector<TensorSpec> OutputSpecs; |
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| 70 | const std::vector<TensorSpec> ExtraOutputsForLogging; |
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| 71 | std::optional<TFModelEvaluator::EvaluationResult> LastEvaluationResult; |
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| 72 | void *evaluateUntyped() override; |
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| 73 | }; |
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| 74 | |||
| 75 | } // namespace llvm |
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| 76 | #endif // define(LLVM_HAVE_TFLITE) |
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| 77 | #endif // LLVM_ANALYSIS_MODELUNDERTRAININGRUNNER_H |