本文整理匯總了Python中nets.pix2pix.Block方法的典型用法代碼示例。如果您正苦於以下問題：Python pix2pix.Block方法的具體用法？Python pix2pix.Block怎麽用？Python pix2pix.Block使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類nets.pix2pix的用法示例。
在下文中一共展示了pix2pix.Block方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_block_number_dictates_number_of_layers
# 需要導入模塊: from nets import pix2pix [as 別名]
# 或者: from nets.pix2pix import Block [as 別名]
def test_block_number_dictates_number_of_layers(self):
batch_size = 2
height, width = 256, 256
num_outputs = 4
images = tf.ones((batch_size, height, width, 3))
blocks = [
pix2pix.Block(64, 0.5),
pix2pix.Block(128, 0),
]
with tf.contrib.framework.arg_scope(pix2pix.pix2pix_arg_scope()):
_, end_points = pix2pix.pix2pix_generator(
images, num_outputs, blocks)
num_encoder_layers = 0
num_decoder_layers = 0
for end_point in end_points:
if end_point.startswith('encoder'):
num_encoder_layers += 1
elif end_point.startswith('decoder'):
num_decoder_layers += 1
self.assertEqual(num_encoder_layers, len(blocks))
self.assertEqual(num_decoder_layers, len(blocks)) 示例2: test_block_number_dictates_number_of_layers
# 需要導入模塊: from nets import pix2pix [as 別名]
# 或者: from nets.pix2pix import Block [as 別名]
def test_block_number_dictates_number_of_layers(self):
batch_size = 2
height, width = 256, 256
num_outputs = 4
images = tf.ones((batch_size, height, width, 3))
blocks = [
pix2pix.Block(64, 0.5),
pix2pix.Block(128, 0),
]
with slim.arg_scope(pix2pix.pix2pix_arg_scope()):
_, end_points = pix2pix.pix2pix_generator(
images, num_outputs, blocks)
num_encoder_layers = 0
num_decoder_layers = 0
for end_point in end_points:
if end_point.startswith('encoder'):
num_encoder_layers += 1
elif end_point.startswith('decoder'):
num_decoder_layers += 1
self.assertEqual(num_encoder_layers, len(blocks))
self.assertEqual(num_decoder_layers, len(blocks)) 示例3: _reduced_default_blocks
# 需要導入模塊: from nets import pix2pix [as 別名]
# 或者: from nets.pix2pix import Block [as 別名]
def _reduced_default_blocks(self):
"""Returns the default blocks, scaled down to make test run faster."""
return [pix2pix.Block(b.num_filters // 32, b.decoder_keep_prob)
for b in pix2pix._default_generator_blocks()]