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https://github.com/vee1e/tflite-micro.git
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b5da836410
To package the module `runtime` as `tflite_micro.runtime`, put `runtime` under a directory representing the Python namespace package `tflite_micro`. For organization's sake, move it all to the top-level directory `python/`. Adjust tests and docs to match. Some code outside of the Python extension module has come to depend on `python/tflite_micro:python_ops_resolver` as a replacement for `all_ops_resolver` (e.g.:`t/l/m/integration_tests/seanet/add/integration_tests.cc`). `python_ops_resolver` is intended to be a private implementation detail of the Python extension module. For now, grandfather in the dependent code by updating its references to the resolver's location; however, soon the dependent code should be migrated away to a different resolver. (#2033, https://issuetracker.google.com/286508251) BUG=part of #1484
51 lines
1.8 KiB
C++
51 lines
1.8 KiB
C++
/* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_LITE_MICRO_TOOLS_PYTHON_INTERPRETER_WRAPPER_H_
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#define TENSORFLOW_LITE_MICRO_TOOLS_PYTHON_INTERPRETER_WRAPPER_H_
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#include <Python.h>
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#include "python/tflite_micro/python_ops_resolver.h"
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#include "tensorflow/lite/micro/micro_interpreter.h"
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#include "tensorflow/lite/micro/recording_micro_allocator.h"
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namespace tflite {
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class InterpreterWrapper {
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public:
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InterpreterWrapper(PyObject* model_data,
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const std::vector<std::string>& registerers_by_name,
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size_t arena_size, int num_resource_variables);
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~InterpreterWrapper();
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void PrintAllocations();
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int Invoke();
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int Reset();
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void SetInputTensor(PyObject* data, size_t index);
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PyObject* GetOutputTensor(size_t index) const;
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PyObject* GetInputTensorDetails(size_t index) const;
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PyObject* GetOutputTensorDetails(size_t index) const;
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private:
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tflite::RecordingMicroAllocator* allocator_;
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const PyObject* model_;
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std::unique_ptr<uint8_t[]> memory_arena_;
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tflite::PythonOpsResolver python_ops_resolver_;
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tflite::MicroInterpreter* interpreter_;
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};
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} // namespace tflite
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#endif // TENSORFLOW_LITE_MICRO_TOOLS_PYTHON_INTERPRETER_WRAPPER_H_
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