50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
# Copyright 2020 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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"""Python module for MLIR functions exported by pybind11."""
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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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# pylint: disable=invalid-import-order, g-bad-import-order, wildcard-import, unused-import, undefined-variable
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from tensorflow.python import pywrap_tensorflow
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from tensorflow.python._pywrap_mlir import *
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def import_graphdef(graphdef, pass_pipeline):
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return ImportGraphDef(
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str(graphdef).encode('utf-8'),
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pass_pipeline.encode('utf-8'))
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def experimental_convert_saved_model_to_mlir(saved_model_path, exported_names,
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show_debug_info):
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return ExperimentalConvertSavedModelToMlir(
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str(saved_model_path).encode('utf-8'),
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str(exported_names).encode('utf-8'), show_debug_info)
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def experimental_convert_saved_model_v1_to_mlir(saved_model_path, tags,
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show_debug_info):
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return ExperimentalConvertSavedModelV1ToMlir(
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str(saved_model_path).encode('utf-8'),
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str(tags).encode('utf-8'), show_debug_info)
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def experimental_run_pass_pipeline(mlir_txt, pass_pipeline, show_debug_info):
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return ExperimentalRunPassPipeline(
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mlir_txt.encode('utf-8'), pass_pipeline.encode('utf-8'),
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show_debug_info)
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