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Python gen_nn_ops._bias_add_v1方法代码示例

本文整理汇总了Python中tensorflow.python.ops.gen_nn_ops._bias_add_v1方法的典型用法代码示例。如果您正苦于以下问题:Python gen_nn_ops._bias_add_v1方法的具体用法?Python gen_nn_ops._bias_add_v1怎么用?Python gen_nn_ops._bias_add_v1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.gen_nn_ops的用法示例。


在下文中一共展示了gen_nn_ops._bias_add_v1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: bias_add_v1

# 需要导入模块: from tensorflow.python.ops import gen_nn_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_nn_ops import _bias_add_v1 [as 别名]
def bias_add_v1(value, bias, name=None):
  """Adds `bias` to `value`.

  This is a deprecated version of bias_add and will soon to be removed.

  This is (mostly) a special case of `tf.add` where `bias` is restricted to 1-D.
  Broadcasting is supported, so `value` may have any number of dimensions.
  Unlike `tf.add`, the type of `bias` is allowed to differ from `value` in the
  case where both types are quantized.

  Args:
    value: A `Tensor` with type `float`, `double`, `int64`, `int32`, `uint8`,
      `int16`, `int8`, `complex64`, or `complex128`.
    bias: A 1-D `Tensor` with size matching the last dimension of `value`.
      Must be the same type as `value` unless `value` is a quantized type,
      in which case a different quantized type may be used.
    name: A name for the operation (optional).

  Returns:
    A `Tensor` with the same type as `value`.
  """
  with ops.name_scope(name, "BiasAddV1", [value, bias]) as name:
    value = ops.convert_to_tensor(value, name="input")
    bias = ops.convert_to_tensor(bias, dtype=value.dtype, name="bias")
    return gen_nn_ops._bias_add_v1(value, bias, name=name) 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:27,代码来源:nn_ops.py


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