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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
63 lines
2.4 KiB
C++
63 lines
2.4 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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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include "python/tflite_micro/interpreter_wrapper.h"
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#include "python/tflite_micro/pybind11_lib.h"
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namespace py = pybind11;
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using tflite::InterpreterWrapper;
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PYBIND11_MODULE(_runtime, m) {
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m.doc() = "TFLite Micro Runtime Extension";
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py::class_<InterpreterWrapper>(m, "InterpreterWrapper")
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.def(py::init([](const py::bytes& 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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return std::unique_ptr<InterpreterWrapper>(
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new InterpreterWrapper(data.ptr(), registerers_by_name, arena_size,
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num_resource_variables));
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}))
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.def("PrintAllocations", &InterpreterWrapper::PrintAllocations)
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.def("Invoke", &InterpreterWrapper::Invoke)
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.def("Reset", &InterpreterWrapper::Reset)
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.def(
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"SetInputTensor",
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[](InterpreterWrapper& self, py::handle& x, size_t index) {
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self.SetInputTensor(x.ptr(), index);
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},
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py::arg("x"), py::arg("index"))
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.def(
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"GetOutputTensor",
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[](InterpreterWrapper& self, size_t index) {
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return tflite::PyoOrThrow(self.GetOutputTensor(index));
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},
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py::arg("index"))
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.def(
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"GetInputTensorDetails",
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[](InterpreterWrapper& self, size_t index) {
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return tflite::PyoOrThrow(self.GetInputTensorDetails(index));
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},
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py::arg("index"))
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.def(
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"GetOutputTensorDetails",
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[](InterpreterWrapper& self, size_t index) {
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return tflite::PyoOrThrow(self.GetOutputTensorDetails(index));
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},
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py::arg("index"));
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}
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