This allows future linking against MLIR without bloating binary. This was not done initially since TF lite was in contrib. PiperOrigin-RevId: 257895424
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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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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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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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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"""Wraps toco interface with python lazy loader."""
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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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# TODO(b/137402359): Remove lazy loading wrapper
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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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model_flags_str,
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toco_flags_str,
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input_data_str,
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False, # extended_return
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debug_info_str,
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enable_mlir_converter)
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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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