本文整理匯總了Python中shapes.tensor_shape方法的典型用法代碼示例。如果您正苦於以下問題：Python shapes.tensor_shape方法的具體用法？Python shapes.tensor_shape怎麽用？Python shapes.tensor_shape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shapes的用法示例。
在下文中一共展示了shapes.tensor_shape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: _PadLabels3d
# 需要導入模塊: import shapes [as 別名]
# 或者: from shapes import tensor_shape [as 別名]
def _PadLabels3d(logits, labels):
"""Pads or slices 3-d labels to match logits.
Covers the case of 2-d softmax output, when labels is [batch, height, width]
and logits is [batch, height, width, onehot]
Args:
logits: 4-d Pre-softmax fully-connected output.
labels: 3-d, but not necessarily matching in size.
Returns:
labels: Resized by padding or clipping to match logits.
"""
logits_shape = shapes.tensor_shape(logits)
labels_shape = shapes.tensor_shape(labels)
labels = tf.reshape(labels, [-1, labels_shape[2]])
labels = _PadLabels2d(logits_shape[2], labels)
labels = tf.reshape(labels, [labels_shape[0], -1])
labels = _PadLabels2d(logits_shape[1] * logits_shape[2], labels)
return tf.reshape(labels, [labels_shape[0], logits_shape[1], logits_shape[2]])