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core.py
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75 lines (56 loc) · 2.26 KB
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# Copyright 2017 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.
# ==============================================================================
"""Experimental API for TensorFlow's "Eager" mode of execution."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python import pywrap_tensorflow
from tensorflow.python.eager import memory_trace
from tensorflow.python.framework import errors
# Trace of execution and memory usage.
_active_trace = None
def _status_to_exception(code, message):
try:
error_class = errors.exception_type_from_error_code(code)
return error_class(None, None, message)
except KeyError:
return errors.UnknownError(None, None, message, code)
class _NotOkStatusException(Exception):
"""Exception class to handle not ok Status."""
def __init__(self, message, code):
super(_NotOkStatusException, self).__init__()
self.message = message
self.code = code
def __str__(self):
e = _status_to_exception(self.code, self.message)
return "%s: %s" % (e.__class__.__name__, e)
pywrap_tensorflow.TFE_Py_RegisterExceptionClass(_NotOkStatusException)
def enable_tracing():
"""Enables tracing of execution and memory usage.
WARNING: tracing is not thread-safe.
"""
# TODO(alive): Add code example in doc string.
global _active_trace
_active_trace = memory_trace.MemoryTrace()
def flush_trace():
"""Flushes the active trace, if it exists.
WARNING: tracing is not thread-safe.
"""
# TODO(alive): Add code example in doc string.
if _active_trace is not None:
_active_trace.flush_trace()
def active_trace():
"""Returns the current global active trace of execution and memory usage."""
return _active_trace