本文整理汇总了Python中entropy_coder.lib.blocks.Conv2D方法的典型用法代码示例。如果您正苦于以下问题：Python blocks.Conv2D方法的具体用法？Python blocks.Conv2D怎么用？Python blocks.Conv2D使用的例子？那么恭喜您, 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entropy_coder.lib.blocks的用法示例。
在下文中一共展示了blocks.Conv2D方法的1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: __init__
# 需要导入模块: from entropy_coder.lib import blocks [as 别名]
# 或者: from entropy_coder.lib.blocks import Conv2D [as 别名]
def __init__(self, code_depth, name=None):
super(BrnnPredictor, self).__init__(name)
with self._BlockScope():
hidden_depth = 2 * code_depth
# What is coming from the previous layer/iteration
# is going through a regular Conv2D layer as opposed to the binary codes
# of the current layer/iteration which are going through a masked
# convolution.
self._adaptation0 = blocks.RasterScanConv2D(
hidden_depth, [7, 7], [1, 1], 'SAME',
strict_order=True,
bias=blocks.Bias(0), act=tf.tanh)
self._adaptation1 = blocks.Conv2D(
hidden_depth, [3, 3], [1, 1], 'SAME',
bias=blocks.Bias(0), act=tf.tanh)
self._predictor = blocks.CompositionOperator([
blocks.LineOperator(
blocks.RasterScanConv2DLSTM(
depth=hidden_depth,
filter_size=[1, 3],
hidden_filter_size=[1, 3],
strides=[1, 1],
padding='SAME')),
blocks.Conv2D(hidden_depth, [1, 1], [1, 1], 'SAME',
bias=blocks.Bias(0), act=tf.tanh),
blocks.Conv2D(code_depth, [1, 1], [1, 1], 'SAME',
bias=blocks.Bias(0), act=tf.tanh)
])