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体验新版 GitCode,发现更多精彩内容 >>
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7d32e100
编写于
11月 19, 2020
作者:
D
danleifeng
提交者:
GitHub
11月 19, 2020
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upgrade to use paddle-2.0 API for sample code of paddle.t (#28726)
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python/paddle/tensor/linalg.py
python/paddle/tensor/linalg.py
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python/paddle/tensor/linalg.py
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7d32e100
...
@@ -613,45 +613,45 @@ def dot(x, y, name=None):
...
@@ -613,45 +613,45 @@ def dot(x, y, name=None):
def
t
(
input
,
name
=
None
):
def
t
(
input
,
name
=
None
):
"""
"""
:alias_main: paddle.t
:alias: paddle.t,paddle.tensor.t,paddle.tensor.linalg.t
Transpose <=2-D tensor.
Transpose <=2-D tensor.
0-D and 1-D tensors are returned as it is and 2-D tensor is equal to
0-D and 1-D tensors are returned as it is and 2-D tensor is equal to
the
fluid.layers
.transpose function which perm dimensions set 0 and 1.
the
paddle
.transpose function which perm dimensions set 0 and 1.
Args:
Args:
input (
Variable
): The input Tensor. It is a N-D (N<=2) Tensor of data types float16, float32, float64, int32.
input (
Tensor
): The input Tensor. It is a N-D (N<=2) Tensor of data types float16, float32, float64, int32.
name(str, optional): The default value is None. Normally there is no need for
name(str, optional): The default value is None. Normally there is no need for
user to set this property. For more information, please refer to :ref:`api_guide_Name`
user to set this property. For more information, please refer to :ref:`api_guide_Name`
Returns:
Returns:
Variable
: A transposed n-D Tensor, with data type being float16, float32, float64, int32, int64.
Tensor
: A transposed n-D Tensor, with data type being float16, float32, float64, int32, int64.
For Example:
For Example:
.. code-block:: text
.. code-block:: text
# Example 1 (0-D tensor)
x = tensor([0.79])
# Example 1 (0-D tensor)
paddle.t(x) = tensor([0.79])
x = tensor([0.79])
# Example 2 (1-D tensor)
paddle.t(x) = tensor([0.79])
x = tensor([0.79, 0.84, 0.32])
paddle.t(x) = tensor([0.79, 0.84, 0.32])
# Example 2 (1-D tensor)
x = tensor([0.79, 0.84, 0.32])
# Example 3 (2-D tensor)
paddle.t(x) = tensor([0.79, 0.84, 0.32])
x = tensor([0.79, 0.84, 0.32],
[0.64, 0.14, 0.57])
# Example 3 (2-D tensor)
paddle.t(x) = tensor([0.79, 0.64],
x = tensor([0.79, 0.84, 0.32],
[0.84, 0.14],
[0.64, 0.14, 0.57])
[0.32, 0.57])
paddle.t(x) = tensor([0.79, 0.64],
[0.84, 0.14],
[0.32, 0.57])
Examples:
Examples:
.. code-block:: python
.. code-block:: python
import paddle
import paddle
import paddle.fluid as fluid
x = paddle.ones(shape=[2, 3], dtype='int32')
x = fluid.data(name='x', shape=[2, 3],
dtype='float32')
x_transposed = paddle.t(x)
x_transposed = paddle.t(x)
print
x_transposed.shape
print
(x_transposed.shape)
#
(3L, 2L)
#
[3, 2]
"""
"""
if
len
(
input
.
shape
)
>
2
:
if
len
(
input
.
shape
)
>
2
:
raise
ValueError
(
raise
ValueError
(
...
...
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