model_deploy.py 文件源码

def _add_gradients_summaries(grads_and_vars):
  """Add histogram summaries to gradients.

  Note: The summaries are also added to the SUMMARIES collection.

  Args:
    grads_and_vars: A list of gradient to variable pairs (tuples).

  Returns:
    The _list_ of the added summaries for grads_and_vars.
  """
  summaries = []
  for grad, var in grads_and_vars:
    if grad is not None:
      if isinstance(grad, tf.IndexedSlices):
        grad_values = grad.values
      else:
        grad_values = grad
      summaries.append(tf.summary.histogram(var.op.name + ':gradient',
                                            grad_values))
      summaries.append(tf.summary.histogram(var.op.name + ':gradient_norm',
                                            tf.global_norm([grad_values])))
    else:
      tf.logging.info('Var %s has no gradient', var.op.name)
  return summaries