Export the toco functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
We are adding `toco::` to the exported namespaces for pywrap_tensorflow's shared object. A few downstream modules also require a previous import of pywrap tensorflow, because the wrapper depends on the shared library. See https://github.com/tensorflow/tensorflow/pull/31955 for additional information. PiperOrigin-RevId: 276096778 Change-Id: I042f488c36b00818b2344fb39c36cad97cee6eb8
This commit is contained in:
parent
8991cf5efa
commit
a07390fd17
tensorflow
@ -209,6 +209,7 @@ py_library(
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],
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srcs_version = "PY2AND3",
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deps = [
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"//tensorflow/python:_pywrap_toco_api",
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"//tensorflow/python:pywrap_tensorflow",
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"//tensorflow/python:util",
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],
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@ -17,7 +17,11 @@ from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python import pywrap_tensorflow
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# We need to import pywrap_tensorflow prior to the toco wrapper.
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# pylint: disable=invalud-import-order,g-bad-import-order
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from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
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from tensorflow.python import _pywrap_toco_api
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# TODO(b/137402359): Remove lazy loading wrapper
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@ -25,7 +29,7 @@ from tensorflow.python import pywrap_tensorflow
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def wrapped_toco_convert(model_flags_str, toco_flags_str, input_data_str,
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debug_info_str, enable_mlir_converter):
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"""Wraps TocoConvert with lazy loader."""
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return pywrap_tensorflow.TocoConvert(
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return _pywrap_toco_api.TocoConvert(
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model_flags_str,
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toco_flags_str,
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input_data_str,
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@ -36,4 +40,4 @@ def wrapped_toco_convert(model_flags_str, toco_flags_str, input_data_str,
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def wrapped_get_potentially_supported_ops():
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"""Wraps TocoGetPotentiallySupportedOps with lazy loader."""
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return pywrap_tensorflow.TocoGetPotentiallySupportedOps()
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return _pywrap_toco_api.TocoGetPotentiallySupportedOps()
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@ -16,6 +16,16 @@ config_setting(
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],
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)
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filegroup(
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name = "toco_python_api_hdrs",
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srcs = [
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"toco_python_api.h",
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],
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visibility = [
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"//tensorflow/python:__subpackages__",
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],
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)
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cc_library(
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name = "toco_python_api",
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srcs = ["toco_python_api.cc"],
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@ -49,6 +59,7 @@ cc_library(
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if_false = [],
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if_true = ["//tensorflow/compiler/mlir/lite/python:graphdef_to_tfl_flatbuffer"],
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),
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alwayslink = True,
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)
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# Compatibility stub. Remove when internal customers moved.
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@ -61,7 +72,7 @@ py_library(
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"//tensorflow/lite:__subpackages__",
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],
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deps = [
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"//tensorflow/python:pywrap_tensorflow",
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"//tensorflow/python:_pywrap_toco_api",
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],
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)
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@ -71,6 +82,7 @@ py_binary(
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python_version = "PY2",
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srcs_version = "PY2AND3",
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deps = [
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"//tensorflow/python:_pywrap_toco_api",
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"//tensorflow/python:platform",
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"//tensorflow/python:pywrap_tensorflow",
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],
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@ -89,10 +101,3 @@ tf_py_test(
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"no_pip",
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],
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)
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exports_files(
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["toco.i"],
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visibility = [
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"//tensorflow/python:__subpackages__",
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],
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)
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@ -20,5 +20,5 @@ from __future__ import print_function
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# TODO(aselle): Remove once no clients internally depend on this.
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# pylint: disable=unused-import
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from tensorflow.python.pywrap_tensorflow import TocoConvert
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from tensorflow.python._pywrap_toco_api import TocoConvert
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# pylint: enable=unused-import
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@ -1,49 +0,0 @@
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/* Copyright 2017 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 "std_string.i"
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%{
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#include "tensorflow/lite/toco/python/toco_python_api.h"
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%}
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// The TensorFlow exception handler releases the GIL with
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// Py_BEGIN_ALLOW_THREADS. Remove that because these function use the Python
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// API to decode inputs.
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%noexception toco::TocoConvert;
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%noexception toco::TocoGetPotentiallySupportedOps;
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namespace toco {
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// Convert a model represented in `input_contents`. `model_flags_proto`
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// describes model parameters. `toco_flags_proto` describes conversion
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// parameters (see relevant .protos for more information). Returns a string
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// representing the contents of the converted model. When extended_return
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// flag is set to true returns a dictionary that contains string representation
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// of the converted model and some statistics like arithmetic ops count.
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// `debug_info_str` contains the `GraphDebugInfo` proto. When
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// `enable_mlir_converter` is True, use MLIR-based conversion instead of
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// TOCO conversion.
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PyObject* TocoConvert(PyObject* model_flags_proto_txt_raw,
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PyObject* toco_flags_proto_txt_raw,
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PyObject* input_contents_txt_raw,
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bool extended_return = false,
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PyObject* debug_info_txt_raw = nullptr,
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bool enable_mlir_converter = false);
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// Returns a list of names of all ops potentially supported by tflite.
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PyObject* TocoGetPotentiallySupportedOps();
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} // namespace toco
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@ -19,7 +19,11 @@ from __future__ import print_function
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import argparse
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import sys
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from tensorflow.python import pywrap_tensorflow
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# We need to import pywrap_tensorflow prior to the toco wrapper.
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# pylint: disable=invalud-import-order,g-bad-import-order
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from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
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from tensorflow.python import _pywrap_toco_api
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from tensorflow.python.platform import app
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FLAGS = None
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@ -43,7 +47,7 @@ def execute(unused_args):
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enable_mlir_converter = FLAGS.enable_mlir_converter
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output_str = pywrap_tensorflow.TocoConvert(
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output_str = _pywrap_toco_api.TocoConvert(
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model_str,
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toco_str,
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input_str,
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@ -583,6 +583,20 @@ tf_python_pybind_extension(
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],
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)
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tf_python_pybind_extension(
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name = "_pywrap_toco_api",
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srcs = [
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"lite/toco_python_api_wrapper.cc",
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],
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hdrs = ["//tensorflow/lite/toco/python:toco_python_api_hdrs"],
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module_name = "_pywrap_toco_api",
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deps = [
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"//tensorflow/python:pybind11_lib",
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"//third_party/python_runtime:headers",
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"@pybind11",
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],
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)
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cc_library(
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name = "cpp_python_util",
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srcs = ["util/util.cc"],
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@ -5188,7 +5202,6 @@ tf_py_wrap_cc(
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"util/traceme.i",
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"util/transform_graph.i",
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"//tensorflow/compiler/mlir/python:mlir.i",
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"//tensorflow/lite/toco/python:toco.i",
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],
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# add win_def_file for pywrap_tensorflow
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win_def_file = select({
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@ -5292,6 +5305,7 @@ genrule(
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"//tensorflow/core:core_cpu_impl", # device_lib
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":py_exception_registry", # py_exception_registry
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":kernel_registry",
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"//tensorflow/lite/toco/python:toco_python_api", # toco
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],
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outs = ["pybind_symbol_target_libs_file.txt"],
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cmd = select({
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57
tensorflow/python/lite/toco_python_api_wrapper.cc
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57
tensorflow/python/lite/toco_python_api_wrapper.cc
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@ -0,0 +1,57 @@
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/* Copyright 2015 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 "include/pybind11/pybind11.h"
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#include "tensorflow/lite/toco/python/toco_python_api.h"
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#include "tensorflow/python/lib/core/pybind11_lib.h"
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namespace py = pybind11;
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PYBIND11_MODULE(_pywrap_toco_api, m) {
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m.def(
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"TocoConvert",
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[](py::object model_flags_proto_txt_raw,
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py::object toco_flags_proto_txt_raw, py::object input_contents_txt_raw,
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bool extended_return, py::object debug_info_txt_raw,
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bool enable_mlir_converter) {
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return tensorflow::pyo_or_throw(toco::TocoConvert(
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model_flags_proto_txt_raw.ptr(), toco_flags_proto_txt_raw.ptr(),
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input_contents_txt_raw.ptr(), extended_return,
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debug_info_txt_raw.ptr(), enable_mlir_converter));
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},
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py::arg("model_flags_proto_txt_raw"), py::arg("toco_flags_proto_txt_raw"),
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py::arg("input_contents_txt_raw"), py::arg("extended_return") = false,
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py::arg("debug_info_txt_raw") = py::none(),
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py::arg("enable_mlir_converter") = false,
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R"pbdoc(
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Convert a model represented in `input_contents`. `model_flags_proto`
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describes model parameters. `toco_flags_proto` describes conversion
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parameters (see relevant .protos for more information). Returns a string
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representing the contents of the converted model. When extended_return
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flag is set to true returns a dictionary that contains string representation
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of the converted model and some statistics like arithmetic ops count.
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`debug_info_str` contains the `GraphDebugInfo` proto. When
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`enable_mlir_converter` is True, tuse MLIR-based conversion instead of
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TOCO conversion.
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)pbdoc");
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m.def(
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"TocoGetPotentiallySupportedOps",
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[]() {
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return tensorflow::pyo_or_throw(toco::TocoGetPotentiallySupportedOps());
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},
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R"pbdoc(
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Returns a list of names of all ops potentially supported by tflite.
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)pbdoc");
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}
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@ -29,8 +29,6 @@ limitations under the License.
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%include "tensorflow/python/lib/core/bfloat16.i"
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%include "tensorflow/lite/toco/python/toco.i"
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%include "tensorflow/python/lib/io/file_io.i"
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%include "tensorflow/python/framework/python_op_gen.i"
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@ -1,4 +1,5 @@
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*tensorflow*
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*toco*
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*perftools*gputools*
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*tf_*
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*TF_*
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tensorflow {
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global:
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*tensorflow*;
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*toco*;
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*perftools*gputools*;
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*TF_*;
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*TFE_*;
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@ -70,6 +70,7 @@ INCLUDE_RE = re.compile(r"^(TF_\w*)$|"
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r"^(TFE_\w*)$|"
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r"nsync::|"
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r"tensorflow::|"
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r"toco::|"
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r"functor::|"
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r"perftools::gputools")
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[kernel_registry] # kernel_registry
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tensorflow::swig::TryFindKernelClass
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[toco_python_api] # toco_python_api
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toco::TocoConvert
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toco::TocoGetPotentiallySupportedOps
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