def stop():
"""Stop current profiling session and return its result.
Returns:
A binary string of tensorflow.tpu.Trace. User can write the string
to file for offline analysis by tensorboard.
Raises:
AssertionError: If there is no active profiling session.
"""
global _profiler
global _run_num
if _profiler is None:
raise AssertionError('Cannot stop profiling. No profiler is running.')
with c_api_util.tf_buffer() as buffer_:
pywrap_tensorflow.TFE_ProfilerSerializeToString(
context.context()._handle, # pylint: disable=protected-access
_profiler,
buffer_)
result = pywrap_tensorflow.TF_GetBuffer(buffer_)
with _profiler_lock:
pywrap_tensorflow.TFE_DeleteProfiler(_profiler)
_profiler = None
_run_num += 1
return result
def stop():
"""Stop current profiling session and return its result.
Returns:
A binary string of tensorflow.tpu.Trace. User can write the string
to file for offline analysis by tensorboard.
Raises:
ProfilerNotRunningError: If there is no active profiling session.
"""
global _profiler
global _run_num
with _profiler_lock:
if _profiler is None:
raise ProfilerNotRunningError(
'Cannot stop profiling. No profiler is running.')
if context.default_execution_mode == context.EAGER_MODE:
context.context().executor.wait()
with c_api_util.tf_buffer() as buffer_:
pywrap_tensorflow.TFE_ProfilerSerializeToString(_profiler, buffer_)
result = pywrap_tensorflow.TF_GetBuffer(buffer_)
pywrap_tensorflow.TFE_DeleteProfiler(_profiler)
_profiler = None
_run_num += 1
return result