本文整理汇总了Python中tensorflow.python.ops.gen_math_ops._tanh方法的典型用法代码示例。如果您正苦于以下问题：Python gen_math_ops._tanh方法的具体用法？Python gen_math_ops._tanh怎么用？Python gen_math_ops._tanh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类tensorflow.python.ops.gen_math_ops的用法示例。
在下文中一共展示了gen_math_ops._tanh方法的3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: tanh
# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import _tanh [as 别名]
def tanh(x, name=None):
"""Computes hyperbolic tangent of `x` element-wise.
Args:
x: A Tensor or SparseTensor with type `float`, `double`, `int32`,
`complex64`, `int64`, or `qint32`.
name: A name for the operation (optional).
Returns:
A Tensor or SparseTensor respectively with the same type as `x` if
`x.dtype != qint32` otherwise the return type is `quint8`.
"""
with ops.name_scope(name, "Tanh", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
x_tanh = gen_math_ops._tanh(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_tanh, dense_shape=x.dense_shape)
else:
return gen_math_ops._tanh(x, name=name) 示例2: tanh
# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import _tanh [as 别名]
def tanh(x, name=None):
"""Computes hyperbolic tangent of `x` element-wise.
Args:
x: A Tensor or SparseTensor with type `float`, `double`, `int32`,
`complex64`, `int64`, or `qint32`.
name: A name for the operation (optional).
Returns:
A Tensor or SparseTensor respectively with the same type as `x` if
`x.dtype != qint32` otherwise the return type is `quint8`.
"""
with ops.name_scope(name, "Tanh", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
x_tanh = gen_math_ops._tanh(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_tanh, shape=x.shape)
else:
return gen_math_ops._tanh(x, name=name) 示例3: tanh
# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import _tanh [as 别名]
def tanh(x, name=None):
"""Computes hyperbolic tangent of `x` element-wise.
Args:
x: A Tensor or SparseTensor with type `float16`, `float32`, `double`,
`complex64`, or `complex128`.
name: A name for the operation (optional).
Returns:
A Tensor or SparseTensor respectively with the same type as `x`.
"""
with ops.name_scope(name, "Tanh", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
x_tanh = gen_math_ops._tanh(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_tanh, dense_shape=x.dense_shape)
else:
return gen_math_ops._tanh(x, name=name) 开发者ID:PacktPublishing，项目名称:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代码行数:20，代码来源:math_ops.py