STT-tensorflow/tensorflow/lite/python/wrap_toco.py
Andrew Selle f1a2ce4406 Move TOCO python bindings to be built under the main TensorFlow Python DSO.
This allows future linking against MLIR without bloating binary. This
was not done initially since TF lite was in contrib.

PiperOrigin-RevId: 257895424
2019-07-12 17:17:50 -07:00

40 lines
1.5 KiB
Python

# Copyright 2019 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.
# ==============================================================================
"""Wraps toco interface with python lazy loader."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python import pywrap_tensorflow
# TODO(b/137402359): Remove lazy loading wrapper
def wrapped_toco_convert(model_flags_str, toco_flags_str, input_data_str,
debug_info_str, enable_mlir_converter):
"""Wraps TocoConvert with lazy loader."""
return pywrap_tensorflow.TocoConvert(
model_flags_str,
toco_flags_str,
input_data_str,
False, # extended_return
debug_info_str,
enable_mlir_converter)
def wrapped_get_potentially_supported_ops():
"""Wraps TocoGetPotentiallySupportedOps with lazy loader."""
return pywrap_tensorflow.TocoGetPotentiallySupportedOps()