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Python standard_ops.cast方法代码示例

本文整理汇总了Python中tensorflow.python.ops.standard_ops.cast方法的典型用法代码示例。如果您正苦于以下问题:Python standard_ops.cast方法的具体用法?Python standard_ops.cast怎么用?Python standard_ops.cast使用的例子?那么恭喜您, 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tensorflow.python.ops.standard_ops的用法示例。


在下文中一共展示了standard_ops.cast方法的2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: summarize_activation

# 需要导入模块: from tensorflow.python.ops import standard_ops [as 别名]
# 或者: from tensorflow.python.ops.standard_ops import cast [as 别名]
def summarize_activation(op):
  """Summarize an activation.

  This applies the given activation and adds useful summaries specific to the
  activation.

  Args:
    op: The tensor to summarize (assumed to be a layer activation).
  Returns:
    The summary op created to summarize `op`.
  """
  if op.op.type in ('Relu', 'Softplus', 'Relu6'):
    # Using inputs to avoid floating point equality and/or epsilons.
    _add_scalar_summary(
        standard_ops.reduce_mean(standard_ops.to_float(standard_ops.less(
            op.op.inputs[0], standard_ops.cast(0.0, op.op.inputs[0].dtype)))),
        '%s/zeros' % op.op.name)
  if op.op.type == 'Relu6':
    _add_scalar_summary(
        standard_ops.reduce_mean(standard_ops.to_float(standard_ops.greater(
            op.op.inputs[0], standard_ops.cast(6.0, op.op.inputs[0].dtype)))),
        '%s/sixes' % op.op.name)
  return _add_histogram_summary(op, '%s/activation' % op.op.name) 
开发者ID:tobegit3hub,项目名称:deep_image_model,代码行数:25,代码来源:summaries.py

示例2: summarize_activation

# 需要导入模块: from tensorflow.python.ops import standard_ops [as 别名]
# 或者: from tensorflow.python.ops.standard_ops import cast [as 别名]
def summarize_activation(op):
  """Summarize an activation.

  This applies the given activation and adds useful summaries specific to the
  activation.

  Args:
    op: The tensor to summarize (assumed to be a layer activation).
  Returns:
    The summary op created to summarize `op`.
  """
  if op.op.type in ('Relu', 'Softplus', 'Relu6'):
    # Using inputs to avoid floating point equality and/or epsilons.
    _add_scalar_summary(
        standard_ops.reduce_mean(
            standard_ops.to_float(
                standard_ops.less(op.op.inputs[
                    0], standard_ops.cast(0.0, op.op.inputs[0].dtype)))),
        '%s/zeros' % op.op.name)
  if op.op.type == 'Relu6':
    _add_scalar_summary(
        standard_ops.reduce_mean(
            standard_ops.to_float(
                standard_ops.greater(op.op.inputs[
                    0], standard_ops.cast(6.0, op.op.inputs[0].dtype)))),
        '%s/sixes' % op.op.name)
  return _add_histogram_summary(op, '%s/activation' % op.op.name) 
开发者ID:taehoonlee,项目名称:tensornets,代码行数:29,代码来源:summaries.py


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