本文整理汇总了Python中tensorflow.python.ops.gen_math_ops.sign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.sign方法的具体用法？Python gen_math_ops.sign怎么用？Python gen_math_ops.sign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.sign方法的4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: sign
# 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 sign [as 别名]
def sign(x, name=None):
"""Returns an element-wise indication of the sign of a number.
`y = sign(x) = -1` if `x < 0`; 0 if `x == 0`; 1 if `x > 0`.
For complex numbers, `y = sign(x) = x / |x|` if `x != 0`, otherwise `y = 0`.
Args:
x: A `Tensor` or `SparseTensor`. Must be one of the following types: `half`,
`float32`, `float64`, `int32`, `int64`, `complex64`, `complex128`.
name: A name for the operation (optional).
Returns:
A `Tensor` or `SparseTensor`, respectively. Has the same type as `x`.
"""
with ops.name_scope(name, "Sign", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
x_sign = gen_math_ops.sign(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_sign, dense_shape=x.dense_shape)
else:
return gen_math_ops.sign(x, name=name) 示例2: sign
# 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 sign [as 别名]
def sign(x, name=None):
"""Returns an element-wise indication of the sign of a number.
`y = sign(x) = -1` if `x < 0`; 0 if `x == 0`; 1 if `x > 0`.
For complex numbers, `y = sign(x) = x / |x|` if `x != 0`, otherwise `y = 0`.
Args:
x: A `Tensor` or `SparseTensor`. Must be one of the following types: `half`,
`float32`, `float64`, `int32`, `int64`, `complex64`, `complex128`.
name: A name for the operation (optional).
Returns:
A `Tensor` or `SparseTensor`, respectively. Has the same type as `x`.
"""
with ops.name_scope(name, "Sign", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
x_sign = gen_math_ops.sign(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_sign, shape=x.shape)
else:
return gen_math_ops.sign(x, name=name) 示例3: sign
# 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 sign [as 别名]
def sign(x, name=None):
"""Returns an element-wise indication of the sign of a number.
`y = sign(x) = -1` if `x < 0`; 0 if `x == 0` or `tf.is_nan(x)`; 1 if `x > 0`.
Zero is returned for NaN inputs.
For complex numbers, `y = sign(x) = x / |x|` if `x != 0`, otherwise `y = 0`.
Args:
x: A `Tensor` or `SparseTensor`. Must be one of the following types: `half`,
`float32`, `float64`, `int32`, `int64`, `complex64`, `complex128`.
name: A name for the operation (optional).
Returns:
A `Tensor` or `SparseTensor`, respectively. Has the same type as `x`.
@compatibility(numpy)
Equivalent to numpy.sign except for the behaviour for input values of NaN.
@end_compatibility
"""
with ops.name_scope(name, "Sign", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
x_sign = gen_math_ops.sign(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_sign, dense_shape=x.dense_shape)
else:
return gen_math_ops.sign(x, name=name) 示例4: sign
# 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 sign [as 别名]
def sign(x, name=None):
"""Returns an element-wise indication of the sign of a number.
`y = sign(x) = -1` if `x < 0`; 0 if `x == 0` or `tf.is_nan(x)`; 1 if `x > 0`.
Zero is returned for NaN inputs.
For complex numbers, `y = sign(x) = x / |x|` if `x != 0`, otherwise `y = 0`.
Args:
x: A `Tensor` or `SparseTensor`. Must be one of the following types: `half`,
`float32`, `float64`, `int32`, `int64`, `complex64`, `complex128`.
name: A name for the operation (optional).
Returns:
A `Tensor` or `SparseTensor`, respectively. Has the same type as `x`.
@compatibility(numpy)
Equivalent to numpy.sign except for the behavior for input values of NaN.
@end_compatibility
"""
with ops.name_scope(name, "Sign", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
x_sign = gen_math_ops.sign(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_sign, dense_shape=x.dense_shape)
else:
return gen_math_ops.sign(x, name=name) 开发者ID:PacktPublishing，项目名称:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代码行数:30，代码来源:math_ops.py