71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
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# Copyright 2017 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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"""Compatibility interfaces for TensorBoard.
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This module provides logic for importing variations on the TensorFlow
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APIs, as lazily loaded imports to help avoid circular dependency issues
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and defer the search and loading of the module until necessary.
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"""
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import tensorboard.lazy as _lazy
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@_lazy.lazy_load("tensorboard.compat.tf")
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def tf():
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"""Provide the root module of a TF-like API for use within TensorBoard.
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By default this is equivalent to `import tensorflow as tf`, but it can be used
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in combination with //tensorboard/compat:tensorflow (to fall back to a stub TF
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API implementation if the real one is not available) or with
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//tensorboard/compat:no_tensorflow (to force unconditional use of the stub).
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Returns:
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The root module of a TF-like API, if available.
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Raises:
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ImportError: if a TF-like API is not available.
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"""
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try:
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from tensorboard.compat import notf # noqa: F401
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except ImportError:
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try:
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import tensorflow
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return tensorflow
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except ImportError:
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pass
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from tensorboard.compat import tensorflow_stub
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return tensorflow_stub
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@_lazy.lazy_load("tensorboard.compat.tf2")
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def tf2():
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"""Provide the root module of a TF-2.0 API for use within TensorBoard.
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Returns:
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The root module of a TF-2.0 API, if available.
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Raises:
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ImportError: if a TF-2.0 API is not available.
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"""
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# Resolve the lazy `tf` compat API from earlier in this file and try to find
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# tf.compat.v2. Don't check tf.__version__ since this is not always reliable
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# if TF was built with tf_api_version!=2.
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if hasattr(tf, "compat") and hasattr(tf.compat, "v2"):
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return tf.compat.v2
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raise ImportError("cannot import tensorflow 2.0 API")
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