74 lines
3.1 KiB
Python
74 lines
3.1 KiB
Python
# Copyright 2016 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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"""Conversion of eager-style Python into TensorFlow graph code.
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NOTE: In TensorFlow 2.0, AutoGraph is automatically applied when using
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`tf.function`. This module contains lower-level APIs for advanced use.
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AutoGraph transforms a subset of Python which operates on TensorFlow objects
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into equivalent TensorFlow graph code. When executing the graph, it has the same
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effect as if you ran the original code in eager mode.
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Python code which doesn't operate on TensorFlow objects remains functionally
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unchanged, but keep in mind that `tf.function` only executes such code at trace
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time, and generally will not be consistent with eager execution.
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For more information, see the
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[AutoGraph reference documentation](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/autograph/g3doc/reference/index.md),
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and the [tf.function guide](https://www.tensorflow.org/guide/function#autograph_transformations).
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"""
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# TODO(mdan): Bring only the relevant symbols to the top level.
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from tensorflow.python.autograph import operators
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from tensorflow.python.autograph import utils
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from tensorflow.python.autograph.core.converter import ConversionOptions
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from tensorflow.python.autograph.core.converter import Feature
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from tensorflow.python.autograph.impl.api import AutoGraphError
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from tensorflow.python.autograph.impl.api import convert
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from tensorflow.python.autograph.impl.api import converted_call
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from tensorflow.python.autograph.impl.api import do_not_convert
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from tensorflow.python.autograph.impl.api import StackTraceMapper
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from tensorflow.python.autograph.impl.api import to_code
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from tensorflow.python.autograph.impl.api import to_graph
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from tensorflow.python.autograph.lang.directives import set_element_type
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from tensorflow.python.autograph.lang.directives import set_loop_options
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from tensorflow.python.autograph.lang.special_functions import stack
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from tensorflow.python.autograph.utils import ag_logging
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from tensorflow.python.util.all_util import remove_undocumented
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# TODO(mdan): Revisit this list once we finalize the generated code mechanism.
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_allowed_symbols = [
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# Main API
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'AutoGraphError',
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'ConversionOptions',
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'Feature',
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'StackTraceMapper',
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'convert',
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'converted_call',
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'do_not_convert',
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'to_code',
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'to_graph',
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# Overloaded operators
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'operators',
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# Python language "extensions"
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'set_element_type',
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'set_loop_options',
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'stack',
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'tensor_list',
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# Utilities: to be removed
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'utils',
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]
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remove_undocumented(__name__, _allowed_symbols)
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