本文整理汇总了Python中tensorflow.Identity方法的典型用法代码示例。如果您正苦于以下问题：Python tensorflow.Identity方法的具体用法？Python tensorflow.Identity怎么用？Python tensorflow.Identity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tensorflow的用法示例。
在下文中一共展示了tensorflow.Identity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: build_batch_norm
# 需要导入模块: import tensorflow [as 别名]
# 或者: from tensorflow import Identity [as 别名]
def build_batch_norm(self, training=None, **overrides):
"""Returns a Batch Normalization layer with the appropriate hyperparams.
If the hyperparams are configured to not use batch normalization,
this will return a Keras Lambda layer that only applies tf.Identity,
without doing any normalization.
Optionally overrides values in the batch_norm hyperparam dict. Overrides
only apply to individual calls of this method, and do not affect
future calls.
Args:
training: if True, the normalization layer will normalize using the batch
statistics. If False, the normalization layer will be frozen and will
act as if it is being used for inference. If None, the layer
will look up the Keras learning phase at `call` time to decide what to
do.
**overrides: batch normalization construction args to override from the
batch_norm hyperparams dictionary.
Returns: Either a FreezableBatchNorm layer (if use_batch_norm() is True),
or a Keras Lambda layer that applies the identity (if use_batch_norm()
is False)
"""
if self.use_batch_norm():
return freezable_batch_norm.FreezableBatchNorm(
training=training,
**self.batch_norm_params(**overrides)
)
else:
return tf.keras.layers.Lambda(tf.identity)