本文整理匯總了Python中tensorflow.python.ops.gen_nn_ops._bias_add_v1方法的典型用法代碼示例。如果您正苦於以下問題：Python gen_nn_ops._bias_add_v1方法的具體用法？Python gen_nn_ops._bias_add_v1怎麽用？Python gen_nn_ops._bias_add_v1使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類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個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: bias_add_v1
# 需要導入模塊: from tensorflow.python.ops import gen_nn_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_nn_ops import _bias_add_v1 [as 別名]
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)