def conv_pip(name, x):
name = functools.partial('{}_{}'.format, name)
x = conv2d(name('subconv0'), x, config.data_shape[3]*2, kernel=3, stride=1, nl=nl)
x = conv2d(name('subconv1'), x, config.data_shape[3], kernel=3, stride=1, nl=nl)
x = fc_layer(name('subfc2'), x, config.unit_shape, config.unit_shape, nl)
return x
def conv_pip(name, x):
with tf.name_scope(name) as scope:
x = conv2d('0',
x,
config.data_shape[3] * 2,
kernel=3,
stride=1,
nl=nl)
x = conv2d('1',
x,
config.data_shape[3],
kernel=3,
stride=1,
nl=nl)
return x
def conv_pip(name, x):
name = functools.partial('{}_{}'.format, name)
x = conv2d(name('0'),
x,
Config.data_shape[3] * 2,
kernel=3,
stride=1,
nl=nl)
x = conv2d(name('1'),
x,
Config.data_shape[3],
kernel=3,
stride=1,
nl=nl)
return x
def conv_pip(name, x):
name = functools.partial('{}_{}'.format, name)
x = conv2d(name('subconv0'),
x,
config.data_shape[3] * 2,
kernel=3,
stride=1,
nl=nl)
x = conv2d(name('subconv1'),
x,
config.data_shape[3],
kernel=3,
stride=1,
nl=nl)
x = fc_layer(name('subfc2'), x, config.unit_shape, config.unit_shape,
nl)
return x
def conv_pip(name, x):
name = functools.partial('{}_{}'.format, name)
x = conv2d(name('0'), x, Config.data_shape[3]*2, kernel=3, stride=1, nl=nl)
x = conv2d(name('1'), x, Config.data_shape[3], kernel=3, stride=1, nl=nl)
return x
def conv_pip(name, x):
with tf.name_scope(name) as scope:
x = conv2d('0', x, config.data_shape[3]*2, kernel=3, stride=1, nl=nl)
x = conv2d('1', x, config.data_shape[3], kernel=3, stride=1, nl=nl)
return x