def setUp(self):
self.log_dir = tempfile.mkdtemp()
# We use numpy.random to generate images. We seed to avoid non-determinism
# in this test.
numpy.random.seed(42)
# Create old-style image summaries for run "foo".
tf.reset_default_graph()
sess = tf.Session()
placeholder = tf.placeholder(tf.uint8)
tf.summary.image(name="baz", tensor=placeholder)
merged_summary_op = tf.summary.merge_all()
foo_directory = os.path.join(self.log_dir, "foo")
writer = tf.summary.FileWriter(foo_directory)
writer.add_graph(sess.graph)
for step in xrange(2):
writer.add_summary(sess.run(merged_summary_op,
feed_dict={
placeholder:
(numpy.random.rand(1, 16, 42, 3) *
255).astype(numpy.uint8)
}),
global_step=step)
writer.close()
# Create new-style image summaries for run bar.
tf.reset_default_graph()
sess = tf.Session()
placeholder = tf.placeholder(tf.uint8)
summary.op(name="quux",
images=placeholder,
description="how do you pronounce that, anyway?")
merged_summary_op = tf.summary.merge_all()
bar_directory = os.path.join(self.log_dir, "bar")
writer = tf.summary.FileWriter(bar_directory)
writer.add_graph(sess.graph)
for step in xrange(2):
writer.add_summary(sess.run(merged_summary_op,
feed_dict={
placeholder:
(numpy.random.rand(1, 6, 8, 3) *
255).astype(numpy.uint8)
}),
global_step=step)
writer.close()
# Start a server with the plugin.
multiplexer = event_multiplexer.EventMultiplexer({
"foo": foo_directory,
"bar": bar_directory,
})
context = base_plugin.TBContext(logdir=self.log_dir,
multiplexer=multiplexer)
plugin = images_plugin.ImagesPlugin(context)
wsgi_app = application.TensorBoardWSGIApp(self.log_dir, [plugin],
multiplexer,
reload_interval=0)
self.server = werkzeug_test.Client(wsgi_app, wrappers.BaseResponse)
self.routes = plugin.get_plugin_apps()
def setUp(self):
super().setUp()
(logdir, multiplexer) = self._create_data()
provider = data_provider.MultiplexerDataProvider(multiplexer, logdir)
ctx = base_plugin.TBContext(logdir=logdir, data_provider=provider)
plugin = images_plugin.ImagesPlugin(ctx)
wsgi_app = application.TensorBoardWSGI([plugin])
self.server = werkzeug_test.Client(wsgi_app, wrappers.BaseResponse)
self.routes = plugin.get_plugin_apps()
def setUp(self):
self.log_dir = tempfile.mkdtemp()
# We use numpy.random to generate images. We seed to avoid non-determinism
# in this test.
numpy.random.seed(42)
# Create old-style image summaries for run "foo".
tf.compat.v1.reset_default_graph()
sess = tf.compat.v1.Session()
placeholder = tf.compat.v1.placeholder(tf.uint8)
tf.compat.v1.summary.image(name="baz", tensor=placeholder)
merged_summary_op = tf.compat.v1.summary.merge_all()
foo_directory = os.path.join(self.log_dir, "foo")
with test_util.FileWriterCache.get(foo_directory) as writer:
writer.add_graph(sess.graph)
for step in xrange(2):
writer.add_summary(sess.run(merged_summary_op, feed_dict={
placeholder: (numpy.random.rand(1, 16, 42, 3) * 255).astype(
numpy.uint8)
}), global_step=step)
# Create new-style image summaries for run bar.
tf.compat.v1.reset_default_graph()
sess = tf.compat.v1.Session()
placeholder = tf.compat.v1.placeholder(tf.uint8)
summary.op(name="quux", images=placeholder,
description="how do you pronounce that, anyway?")
merged_summary_op = tf.compat.v1.summary.merge_all()
bar_directory = os.path.join(self.log_dir, "bar")
with test_util.FileWriterCache.get(bar_directory) as writer:
writer.add_graph(sess.graph)
for step in xrange(2):
writer.add_summary(sess.run(merged_summary_op, feed_dict={
placeholder: (numpy.random.rand(1, 8, 6, 3) * 255).astype(
numpy.uint8)
}), global_step=step)
# Start a server with the plugin.
multiplexer = event_multiplexer.EventMultiplexer({
"foo": foo_directory,
"bar": bar_directory,
})
context = base_plugin.TBContext(
logdir=self.log_dir, multiplexer=multiplexer)
plugin = images_plugin.ImagesPlugin(context)
# Setting a reload interval of -1 disables reloading. We disable reloading
# because we seek to block tests from running til after one reload finishes.
# This setUp method thus manually reloads the multiplexer. TensorBoard would
# otherwise reload in a non-blocking thread.
wsgi_app = application.TensorBoardWSGIApp(
self.log_dir, [plugin], multiplexer, reload_interval=-1, path_prefix='')
self.server = werkzeug_test.Client(wsgi_app, wrappers.BaseResponse)
multiplexer.Reload()
self.routes = plugin.get_plugin_apps()
def wrapper(self, *args, **kwargs):
(logdir, multiplexer) = self._create_data()
with self.subTest("bare multiplexer"):
ctx = base_plugin.TBContext(logdir=logdir,
multiplexer=multiplexer)
plugin = images_plugin.ImagesPlugin(ctx)
self._initialize_plugin_specific_attrs(plugin)
fn(self, plugin, *args, **kwargs)
with self.subTest("generic data provider"):
flags = argparse.Namespace(generic_data="true")
provider = data_provider.MultiplexerDataProvider(
multiplexer, logdir)
ctx = base_plugin.TBContext(
flags=flags,
logdir=logdir,
multiplexer=multiplexer,
data_provider=provider,
)
plugin = images_plugin.ImagesPlugin(ctx)
self._initialize_plugin_specific_attrs(plugin)
fn(self, plugin, *args, **kwargs)
