def compute_and_check_summary_pb(self,
name,
data,
display_name=None,
description=None,
data_tensor=None,
feed_dict=None):
"""Use both `op` and `pb` to get a summary, asserting equality.
Returns:
a `Summary` protocol buffer
"""
if data_tensor is None:
data_tensor = tf.constant(data)
op = summary.op(name,
data,
display_name=display_name,
description=description)
pb = self.normalize_summary_pb(
summary.pb(name,
data,
display_name=display_name,
description=description))
pb_via_op = self.normalize_summary_pb(
self.pb_via_op(op, feed_dict=feed_dict))
self.assertProtoEquals(pb, pb_via_op)
return pb
def compute_and_check_summary_pb(self, name, data,
display_name=None, description=None,
data_tensor=None, feed_dict=None):
"""Use both `op` and `pb` to get a summary, asserting equality.
Returns:
a `Summary` protocol buffer
"""
if data_tensor is None:
data_tensor = tf.constant(data)
op = summary.op(
name, data, display_name=display_name, description=description)
pb = self.normalize_summary_pb(summary.pb(
name, data, display_name=display_name, description=description))
pb_via_op = self.normalize_summary_pb(
self.pb_via_op(op, feed_dict=feed_dict))
self.assertProtoEquals(pb, pb_via_op)
return pb
def text(self, *args, **kwargs):
return summary.pb(*args, **kwargs)
def test_non_string_value_in_pb(self):
with six.assertRaisesRegex(
self,
ValueError,
r'Expected binary or unicode string, got 0'):
summary.pb('la', np.array(range(42)))
