75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
# 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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# ==============================================================================
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"""Experimental API for TensorFlow's "Eager" mode of execution."""
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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_tfe
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from tensorflow.python.framework import errors
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# Trace of execution and memory usage.
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_active_trace = None
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def _status_to_exception(code, message):
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try:
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error_class = errors.exception_type_from_error_code(code)
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return error_class(None, None, message)
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except KeyError:
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return errors.UnknownError(None, None, message, code)
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class _NotOkStatusException(Exception):
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"""Exception class to handle not ok Status."""
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def __init__(self, message, code):
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super(_NotOkStatusException, self).__init__()
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self.message = message
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self.code = code
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def __str__(self):
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e = _status_to_exception(self.code, self.message)
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return "%s: %s" % (e.__class__.__name__, e)
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pywrap_tfe.TFE_Py_RegisterExceptionClass(_NotOkStatusException)
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class _FallbackException(Exception):
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"""Exception class to handle fallback from the fastpath.
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The fastpath that we refer to here is the one implemented to reduce per-op
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overheads (TFE_Py_FastPathExecute_C). If the conditions for executing the op
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on the fastpath are not met, we fallback to a safer (and more complete)
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slowpath, and this Exception is raised to signal that transition.
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"""
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pass
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class _SymbolicException(Exception):
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"""Exception class to handle use of symbolic tensors when executing eagerly.
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`keras.Input()` creates symbolic tensors (in a FuncGraph managed by the
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Keras backend) while in eager execution. This exception is used to
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identify this case (raised in `convert_to_tensor` cause generated functions
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for ops to construct graphs instead of executing the kernel).
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"""
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pass
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pywrap_tfe.TFE_Py_RegisterFallbackExceptionClass(_FallbackException)
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