本文整理匯總了Python中entropy_coder.lib.blocks.RasterScanConv2D方法的典型用法代碼示例。如果您正苦於以下問題：Python blocks.RasterScanConv2D方法的具體用法？Python blocks.RasterScanConv2D怎麽用？Python blocks.RasterScanConv2D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entropy_coder.lib.blocks的用法示例。
在下文中一共展示了blocks.RasterScanConv2D方法的1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: __init__
# 需要導入模塊: from entropy_coder.lib import blocks [as 別名]
# 或者: from entropy_coder.lib.blocks import RasterScanConv2D [as 別名]
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)
])