model.py 文件源码

def _activation_summary(self, x):
        """Helper to create summaries for activations.
        Creates a summary that provides a histogram of activations.
        Creates a summary that measure the sparsity of activations.
        Args:
            x: Tensor
        Returns:
            nothing
        """
        # Remove 'tower_[0-9]/' from the name in case this is a multi-GPU training
        # session. This helps the clarity of presentation on tensorboard.
        # Error: these summaries cause high classifier error!!!
        # All inputs to node MergeSummary/MergeSummary must be from the same frame.

        # tensor_name = re.sub('%s_[0-9]*/' % "tower", '', x.op.name)
        # tf.histogram_summary(tensor_name + '/activations', x)
        # tf.scalar_summary(tensor_name + '/sparsity', tf.nn.zero_fraction(x))