| /* Copyright 2020 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_LITE_MICRO_KERNELS_KERNEL_RUNNER_H_ |
| #define TENSORFLOW_LITE_MICRO_KERNELS_KERNEL_RUNNER_H_ |
| |
| #include "tensorflow/lite/c/common.h" |
| #include "tensorflow/lite/kernels/internal/compatibility.h" |
| #include "tensorflow/lite/micro/arena_allocator/single_arena_buffer_allocator.h" |
| #include "tensorflow/lite/micro/fake_micro_context.h" |
| #include "tensorflow/lite/micro/mock_micro_graph.h" |
| |
| namespace tflite { |
| namespace micro { |
| |
| // Helper class to perform a simulated kernel (i.e. TFLMRegistration) |
| // lifecycle (init, prepare, invoke). All internal allocations are handled by |
| // this class. Simply pass in the registration, list of required tensors, inputs |
| // array, outputs array, and any pre-builtin data. Calling Invoke() will |
| // automatically walk the kernel and outputs will be ready on the TfLiteTensor |
| // output provided during construction. |
| class KernelRunner { |
| public: |
| KernelRunner(const TFLMRegistration& registration, TfLiteTensor* tensors, |
| int tensors_size, TfLiteIntArray* inputs, |
| TfLiteIntArray* outputs, void* builtin_data, |
| TfLiteIntArray* intermediates = nullptr); |
| |
| // Calls init and prepare on the kernel (i.e. TFLMRegistration) struct. |
| // Any exceptions will be DebugLog'd and returned as a status code. |
| TfLiteStatus InitAndPrepare(const char* init_data = nullptr, |
| size_t length = 0); |
| |
| // Calls invoke on a given TFLMRegistration pointer. After successful |
| // invoke, results will be available in the output tensor as passed into the |
| // constructor of this class. |
| TfLiteStatus Invoke(); |
| |
| // Calls Free on a given TFLMRegistration pointer(if it's implemented). |
| // After successful Free, kTfLiteOk status will be returned. If Free is not |
| // implemented for a given kernel kTfLiteError will be returned. |
| TfLiteStatus Free(); |
| |
| // Calls Reset on a given TFLMRegistration pointer(if it's implemented). |
| // After successful Reset, kTfLiteOk status will be returned. If Free is not |
| // implemented for a given kernel kTfLiteError will be returned. |
| TfLiteStatus Reset(); |
| |
| // Returns a pointer to the internal MockMicroGraph which KernelRunner uses |
| // to stub out MicroGraph methods and track invocations on each subgraph. |
| MockMicroGraph* GetMockGraph() { return &mock_micro_graph_; } |
| |
| // Returns true if all temp buffer in tests are deallocated. |
| // TODO(b/209453859): move this function to private after deallocation checks |
| // are enabled for all kernel tests. |
| bool ValidateTempBufferDeallocated(); |
| |
| private: |
| static constexpr int kKernelRunnerBufferSize_ = 10000; |
| static uint8_t kKernelRunnerBuffer_[kKernelRunnerBufferSize_]; |
| |
| TfLiteContext context_ = {}; |
| TfLiteNode node_ = {}; |
| const TFLMRegistration& registration_; |
| |
| SingleArenaBufferAllocator* allocator_; |
| MockMicroGraph mock_micro_graph_; |
| FakeMicroContext fake_micro_context_; |
| }; |
| |
| } // namespace micro |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_MICRO_KERNELS_KERNEL_RUNNER_H_ |