本文整理汇总了Python中blocks.bricks.conv.Convolutional.image_size方法的典型用法代码示例。如果您正苦于以下问题：Python Convolutional.image_size方法的具体用法？Python Convolutional.image_size怎么用？Python Convolutional.image_size使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类blocks.bricks.conv.Convolutional的用法示例。
在下文中一共展示了Convolutional.image_size方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_convolutional
# 需要导入模块: from blocks.bricks.conv import Convolutional [as 别名]
# 或者: from blocks.bricks.conv.Convolutional import image_size [as 别名]
def test_convolutional():
x = tensor.tensor4("x")
num_channels = 4
num_filters = 3
batch_size = 5
filter_size = (3, 3)
conv = Convolutional(
filter_size,
num_filters,
num_channels,
image_size=(17, 13),
weights_init=Constant(1.0),
biases_init=Constant(5.0),
)
conv.initialize()
y = conv.apply(x)
func = function([x], y)
x_val = numpy.ones((batch_size, num_channels, 17, 13), dtype=theano.config.floatX)
assert_allclose(
func(x_val), numpy.prod(filter_size) * num_channels * numpy.ones((batch_size, num_filters, 15, 11)) + 5
)
conv.image_size = (17, 13)
conv.batch_size = 2 # This should have effect on get_dim
assert conv.get_dim("output") == (num_filters, 15, 11)示例2: conv_layer
# 需要导入模块: from blocks.bricks.conv import Convolutional [as 别名]
# 或者: from blocks.bricks.conv.Convolutional import image_size [as 别名]
def conv_layer(self, name, wt, bias, image_size):
"""Creates a Convolutional brick with the given name, weights,
bias, and image_size."""
layer = Convolutional(
name=name,
filter_size=wt.shape[0:2],
num_channels=wt.shape[2], # in
num_filters=wt.shape[3], # out
weights_init=Constant(0), # does not matter
biases_init=Constant(0), # does not matter
tied_biases=True,
border_mode="valid",
)
if image_size:
layer.image_size = image_size
layer.initialize()
weights = self.to_bc01(wt)
layer.parameters[0].set_value(weights.astype("float32")) # W
layer.parameters[1].set_value(bias.squeeze().astype("float32")) # b
return (layer, layer.get_dim("output")[1:3])