def _process_health_pill_value(self,
wall_time,
step,
device_name,
output_slot,
node_name,
tensor_proto,
node_name_set=None):
"""Creates a HealthPillEvent containing various properties of a health pill.
Args:
wall_time: The wall time in seconds.
step: The session run step of the event.
device_name: The name of the node's device.
output_slot: The numeric output slot.
node_name: The name of the node (without the output slot).
tensor_proto: A tensor proto of data.
node_name_set: An optional set of node names that are relevant. If not
provided, no filtering by relevance occurs.
Returns:
An event_accumulator.HealthPillEvent. Or None if one could not be created.
"""
if node_name_set and node_name not in node_name_set:
# This event is not relevant.
return None
# Since we seek health pills for a specific step, this function
# returns 1 health pill per node per step. The wall time is the
# seconds since the epoch.
elements = list(tf.make_ndarray(tensor_proto))
return HealthPillEvent(
wall_time=wall_time,
step=step,
device_name=device_name,
output_slot=output_slot,
node_name=node_name,
dtype=repr(tf.as_dtype(elements[12])),
shape=elements[14:],
value=elements)
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