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errors.py
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74 lines (70 loc) · 2.27 KB
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# Copyright 2015 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.
# ==============================================================================
"""Exception types for TensorFlow errors."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=unused-import
from tensorflow.python.framework import errors_impl as _impl
# pylint: enable=unused-import
# go/tf-wildcard-import
# pylint: disable=wildcard-import
from tensorflow.python.framework.errors_impl import *
# pylint: enable=wildcard-import
from tensorflow.python.util.all_util import remove_undocumented
# These are referenced in client/client_lib.py.
# Unfortunately, we can't import client_lib to examine
# the references, since it would create a dependency cycle.
_allowed_symbols = [
"AbortedError",
"AlreadyExistsError",
"CancelledError",
"DataLossError",
"DeadlineExceededError",
"FailedPreconditionError",
"InternalError",
"InvalidArgumentError",
"NotFoundError",
"OpError",
"OutOfRangeError",
"PermissionDeniedError",
"ResourceExhaustedError",
"UnauthenticatedError",
"UnavailableError",
"UnimplementedError",
"UnknownError",
"error_code_from_exception_type",
"exception_type_from_error_code",
"raise_exception_on_not_ok_status",
# Scalars that have no docstrings:
"OK",
"CANCELLED",
"UNKNOWN",
"INVALID_ARGUMENT",
"DEADLINE_EXCEEDED",
"NOT_FOUND",
"ALREADY_EXISTS",
"PERMISSION_DENIED",
"UNAUTHENTICATED",
"RESOURCE_EXHAUSTED",
"FAILED_PRECONDITION",
"ABORTED",
"OUT_OF_RANGE",
"UNIMPLEMENTED",
"INTERNAL",
"UNAVAILABLE",
"DATA_LOSS",
]
remove_undocumented(__name__, _allowed_symbols)