Yet more attempts at getting yapf to stop complaining (0c1884fc) · Commits · 钟慕尧 / deepchem

deepchem/models/tensorflow_models/robust_multitask.py

+4 −4

Original line number	Original line	Diff line number	Diff line
	@@ -102,8 +102,8 @@ class RobustMultitaskClassifier(TensorflowMultiTaskClassifier):
	prev_layer_size = num_features		prev_layer_size = num_features
	for i in range(num_layers):		for i in range(num_layers):
	# layer has shape [None, layer_sizes[i]]		# layer has shape [None, layer_sizes[i]]
	print("Adding weights of shape %s" % str(		print("Adding weights of shape %s" %
	[prev_layer_size, layer_sizes[i]]))		str([prev_layer_size, layer_sizes[i]]))
	layer = tf.nn.relu(		layer = tf.nn.relu(
	model_ops.fully_connected_layer(		model_ops.fully_connected_layer(
	tensor=prev_layer,		tensor=prev_layer,
	@@ -260,8 +260,8 @@ class RobustMultitaskRegressor(TensorflowMultiTaskRegressor):
	prev_layer_size = num_features		prev_layer_size = num_features
	for i in range(num_layers):		for i in range(num_layers):
	# layer has shape [None, layer_sizes[i]]		# layer has shape [None, layer_sizes[i]]
	print("Adding weights of shape %s" % str(		print("Adding weights of shape %s" %
	[prev_layer_size, layer_sizes[i]]))		str([prev_layer_size, layer_sizes[i]]))
	layer = tf.nn.relu(		layer = tf.nn.relu(
	model_ops.fully_connected_layer(		model_ops.fully_connected_layer(
	tensor=prev_layer,		tensor=prev_layer,