def generate_testdata(self):
ops.reset_default_graph()
sess = session.Session()
placeholder = array_ops.placeholder(dtypes.string)
summary_tensor = text_summary.text_summary('message', placeholder)
vector_summary = text_summary.text_summary('vector', placeholder)
run_names = ['fry', 'leela']
for run_name in run_names:
subdir = os.path.join(self.logdir, run_name)
writer = summary.FileWriter(subdir)
writer.add_graph(sess.graph)
step = 0
for gem in GEMS:
message = run_name + ' *loves* ' + gem
feed_dict = {placeholder: message}
summ = sess.run(summary_tensor, feed_dict=feed_dict)
writer.add_summary(summ, global_step=step)
step += 1
vector_message = ['one', 'two', 'three', 'four']
summ = sess.run(vector_summary, feed_dict={placeholder: vector_message})
writer.add_summary(summ)
writer.close()
def generate_testdata(self):
ops.reset_default_graph()
sess = session.Session()
placeholder = array_ops.placeholder(dtypes.string)
summary_tensor = text_summary.text_summary('message', placeholder)
vector_summary = text_summary.text_summary('vector', placeholder)
run_names = ['fry', 'leela']
for run_name in run_names:
subdir = os.path.join(self.logdir, run_name)
writer = summary.FileWriter(subdir)
writer.add_graph(sess.graph)
step = 0
for gem in GEMS:
message = run_name + ' *loves* ' + gem
feed_dict = {placeholder: message}
summ = sess.run(summary_tensor, feed_dict=feed_dict)
writer.add_summary(summ, global_step=step)
step += 1
vector_message = ['one', 'two', 'three', 'four']
summ = sess.run(vector_summary, feed_dict={placeholder: vector_message})
writer.add_summary(summ)
writer.close()
def testTextSummaryAPI(self):
with self.test_session():
with self.assertRaises(ValueError):
num = array_ops.constant(1)
text_summary.text_summary("foo", num)
with self.assertRaises(ValueError):
arr = array_ops.constant(["one", "two", "three"])
text_summary.text_summary("foo", arr)
summ = text_summary.text_summary("foo", array_ops.constant("one"))
self.assertEqual(summ.op.type, "TensorSummary")
def testTextSummaryAPI(self):
with self.test_session():
with self.assertRaises(ValueError):
num = array_ops.constant(1)
text_summary.text_summary("foo", num)
with self.assertRaises(ValueError):
arr = array_ops.constant(["one", "two", "three"])
text_summary.text_summary("foo", arr)
summ = text_summary.text_summary("foo", array_ops.constant("one"))
self.assertEqual(summ.op.type, "TensorSummary")
def testTextSummaryAPI(self):
with self.cached_session():
with self.assertRaises(ValueError):
num = array_ops.constant(1)
text_summary.text_summary("foo", num)
# The API accepts vectors.
arr = array_ops.constant(["one", "two", "three"])
summ = text_summary.text_summary("foo", arr)
self.assertEqual(summ.op.type, "TensorSummaryV2")
# the API accepts scalars
summ = text_summary.text_summary("foo", array_ops.constant("one"))
self.assertEqual(summ.op.type, "TensorSummaryV2")
def testTextSummaryAPI(self):
with self.cached_session():
with self.assertRaises(ValueError):
num = array_ops.constant(1)
text_summary.text_summary("foo", num)
# The API accepts vectors.
arr = array_ops.constant(["one", "two", "three"])
summ = text_summary.text_summary("foo", arr)
self.assertEqual(summ.op.type, "TensorSummaryV2")
# the API accepts scalars
summ = text_summary.text_summary("foo", array_ops.constant("one"))
self.assertEqual(summ.op.type, "TensorSummaryV2")
def testTextSummaryAPI(self):
with self.test_session():
with self.assertRaises(ValueError):
num = array_ops.constant(1)
text_summary.text_summary("foo", num)
with self.assertRaises(ValueError):
arr = array_ops.constant(["one", "two", "three"])
text_summary.text_summary("foo", arr)
summ = text_summary.text_summary("foo", array_ops.constant("one"))
self.assertEqual(summ.op.type, "TensorSummary")
text_summary.text_summary("bar", array_ops.constant("2"), collections=[])
summaries = framework_ops.get_collection(
framework_ops.GraphKeys.SUMMARIES)
self.assertEqual(len(summaries), 1)
def generate_testdata(self):
ops.reset_default_graph()
sess = session.Session()
placeholder = array_ops.placeholder(dtypes.string, shape=[])
summary_tensor = text_summary.text_summary("message", placeholder)
run_names = ["fry", "leela"]
for run_name in run_names:
subdir = os.path.join(self.logdir, run_name)
writer = summary.FileWriter(subdir)
writer.add_graph(sess.graph)
step = 0
for gem in GEMS:
message = run_name + " loves " + gem
feed_dict = {placeholder: message}
summ = sess.run(summary_tensor, feed_dict=feed_dict)
writer.add_summary(summ, global_step=step)
step += 1
writer.close()
def generate_testdata(self):
ops.reset_default_graph()
sess = session.Session()
placeholder = array_ops.placeholder(dtypes.string, shape=[])
summary_tensor = text_summary.text_summary("message", placeholder)
run_names = ["fry", "leela"]
for run_name in run_names:
subdir = os.path.join(self.logdir, run_name)
writer = summary.FileWriter(subdir)
writer.add_graph(sess.graph)
step = 0
for gem in GEMS:
message = run_name + " *loves* " + gem
feed_dict = {placeholder: message}
summ = sess.run(summary_tensor, feed_dict=feed_dict)
writer.add_summary(summ, global_step=step)
step += 1
writer.close()
def testTextSummaryAPI(self):
with self.test_session():
with self.assertRaises(ValueError):
num = array_ops.constant(1)
text_summary.text_summary("foo", num)
with self.assertRaises(ValueError):
arr = array_ops.constant(["one", "two", "three"])
text_summary.text_summary("foo", arr)
summ = text_summary.text_summary("foo", array_ops.constant("one"))
self.assertEqual(summ.op.type, "TensorSummary")
text_summary.text_summary("bar",
array_ops.constant("2"),
collections=[])
summaries = framework_ops.get_collection(
framework_ops.GraphKeys.SUMMARIES)
self.assertEqual(len(summaries), 1)
def testTextSummaryCollections(self):
text_summary.text_summary("bar", array_ops.constant("2"), collections=[])
summaries = framework_ops.get_collection(framework_ops.GraphKeys.SUMMARIES)
self.assertEqual(len(summaries), 0)