本文整理汇总了Python中tensorflow.python.ops.gen_math_ops._abs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._abs方法的具体用法？Python gen_math_ops._abs怎么用？Python gen_math_ops._abs使用的例子？那么, 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._abs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: abs
# 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 _abs [as 别名]
def abs(x, name=None):
r"""Computes the absolute value of a tensor.
Given a tensor of real numbers `x`, this operation returns a tensor
containing the absolute value of each element in `x`. For example, if x is
an input element and y is an output element, this operation computes
\\\\(y = |x|\\\\).
Args:
x: A `Tensor` or `SparseTensor` of type `float32`, `float64`, `int32`, or
`int64`.
name: A name for the operation (optional).
Returns:
A `Tensor` or `SparseTensor` the same size and type as `x` with absolute
values.
"""
with ops.name_scope(name, "Abs", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
if x.values.dtype in (dtypes.complex64, dtypes.complex128):
x_abs = gen_math_ops._complex_abs(
x.values, Tout=x.values.dtype.real_dtype, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_abs, dense_shape=x.dense_shape)
x_abs = gen_math_ops._abs(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_abs, dense_shape=x.dense_shape)
else:
x = ops.convert_to_tensor(x, name="x")
if x.dtype in (dtypes.complex64, dtypes.complex128):
return gen_math_ops._complex_abs(x, Tout=x.dtype.real_dtype, name=name)
return gen_math_ops._abs(x, name=name)
# pylint: enable=g-docstring-has-escape
# pylint: disable=redefined-builtin 示例2: abs
# 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 _abs [as 别名]
def abs(x, name=None):
"""Computes the absolute value of a tensor.
Given a tensor of real numbers `x`, this operation returns a tensor
containing the absolute value of each element in `x`. For example, if x is
an input element and y is an output element, this operation computes
\\\\(y = |x|\\\\).
Args:
x: A `Tensor` or `SparseTensor` of type `float32`, `float64`, `int32`, or
`int64`.
name: A name for the operation (optional).
Returns:
A `Tensor` or `SparseTensor` the same size and type as `x` with absolute
values.
"""
with ops.name_scope(name, "Abs", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
if x.values.dtype in (dtypes.complex64, dtypes.complex128):
x_abs = gen_math_ops._complex_abs(
x.values, Tout=x.values.dtype.real_dtype, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_abs, dense_shape=x.dense_shape)
x_abs = gen_math_ops._abs(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_abs, dense_shape=x.dense_shape)
else:
x = ops.convert_to_tensor(x, name="x")
if x.dtype in (dtypes.complex64, dtypes.complex128):
return gen_math_ops._complex_abs(x, Tout=x.dtype.real_dtype, name=name)
return gen_math_ops._abs(x, name=name)
# pylint: enable=g-docstring-has-escape 示例3: abs
# 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 _abs [as 别名]
def abs(x, name=None):
"""Computes the absolute value of a tensor.
Given a tensor of real numbers `x`, this operation returns a tensor
containing the absolute value of each element in `x`. For example, if x is
an input element and y is an output element, this operation computes
\\\\(y = |x|\\\\).
See [`tf.complex_abs()`](#tf_complex_abs) to compute the absolute value of a complex
number.
Args:
x: A `Tensor` or `SparseTensor` of type `float32`, `float64`, `int32`, or
`int64`.
name: A name for the operation (optional).
Returns:
A `Tensor` or `SparseTensor` the same size and type as `x` with absolute
values.
"""
with ops.name_scope(name, "Abs", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
if x.values.dtype in (dtypes.complex64, dtypes.complex128):
x_abs = gen_math_ops.complex_abs(x.values,
Tout=x.values.dtype.real_dtype, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_abs, shape=x.shape)
x_abs = gen_math_ops._abs(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_abs, shape=x.shape)
else:
x = ops.convert_to_tensor(x, name="x")
if x.dtype in (dtypes.complex64, dtypes.complex128):
return gen_math_ops.complex_abs(x, Tout=x.dtype.real_dtype, name=name)
return gen_math_ops._abs(x, name=name) 示例4: abs
# 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 _abs [as 别名]
def abs(x, name=None):
r"""Computes the absolute value of a tensor.
Given a tensor `x` of complex numbers, this operation returns a tensor of type
`float32` or `float64` that is the absolute value of each element in `x`. All
elements in `x` must be complex numbers of the form \\(a + bj\\). The
absolute value is computed as \\( \sqrt{a^2 + b^2}\\). For example:
```python
x = tf.constant([[-2.25 + 4.75j], [-3.25 + 5.75j]])
tf.abs(x) # [5.25594902, 6.60492229]
```
Args:
x: A `Tensor` or `SparseTensor` of type `float32`, `float64`, `int32`,
`int64`, `complex64` or `complex128`.
name: A name for the operation (optional).
Returns:
A `Tensor` or `SparseTensor` the same size and type as `x` with absolute
values.
Note, for `complex64` or `complex128' input, the returned `Tensor` will be
of type `float32` or `float64`, respectively.
"""
with ops.name_scope(name, "Abs", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor):
if x.values.dtype in (dtypes.complex64, dtypes.complex128):
x_abs = gen_math_ops._complex_abs(
x.values, Tout=x.values.dtype.real_dtype, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_abs, dense_shape=x.dense_shape)
x_abs = gen_math_ops._abs(x.values, name=name)
return sparse_tensor.SparseTensor(
indices=x.indices, values=x_abs, dense_shape=x.dense_shape)
else:
x = ops.convert_to_tensor(x, name="x")
if x.dtype in (dtypes.complex64, dtypes.complex128):
return gen_math_ops._complex_abs(x, Tout=x.dtype.real_dtype, name=name)
return gen_math_ops._abs(x, name=name)
# pylint: enable=g-docstring-has-escape
# pylint: disable=redefined-builtin 开发者ID:PacktPublishing，项目名称:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代码行数:46，代码来源:math_ops.py