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体验新版 GitCode,发现更多精彩内容 >>
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51939c83
编写于
8月 18, 2021
作者:
R
ronnywang
提交者:
GitHub
8月 18, 2021
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电子邮件补丁
差异文件
Fix the parameter name for atan2 API (#34812)
上级
209075a4
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
25 addition
and
25 deletion
+25
-25
python/paddle/tensor/math.py
python/paddle/tensor/math.py
+25
-25
未找到文件。
python/paddle/tensor/math.py
浏览文件 @
51939c83
...
...
@@ -2491,25 +2491,25 @@ def neg(x, name=None):
return
layers
.
scale
(
x
,
scale
=-
1.0
,
bias
=
0.0
,
bias_after_scale
=
True
,
act
=
None
,
name
=
name
)
def
atan2
(
y
,
x
,
name
=
None
):
def
atan2
(
x
,
y
,
name
=
None
):
r
"""
Element-wise arctangent of
y/x
with consideration of the quadrant.
Element-wise arctangent of
x/y
with consideration of the quadrant.
Equation:
.. math::
atan2(y,x
)=\left\{\begin{matrix}
& tan^{-1}(\frac{y}{x}) & x
> 0 \\
& tan^{-1}(\frac{y}{x}) + \pi & y>=0, x
< 0 \\
& tan^{-1}(\frac{y}{x}) - \pi & y<0, x
< 0 \\
& +\frac{\pi}{2} & y>0, x
= 0 \\
& -\frac{\pi}{2} & y<0, x
= 0 \\
&\text{undefined} & y=0, x
= 0
\end{matrix}\right.
atan2(x,y
)=\left\{\begin{matrix}
& tan^{-1}(\frac{x}{y}) & y
> 0 \\
& tan^{-1}(\frac{x}{y}) + \pi & x>=0, y
< 0 \\
& tan^{-1}(\frac{x}{y}) - \pi & x<0, y
< 0 \\
& +\frac{\pi}{2} & x>0, y
= 0 \\
& -\frac{\pi}{2} & x<0, y
= 0 \\
&\text{undefined} & x=0, y
= 0
\end{matrix}\right.
Args:
y
(Tensor): An N-D Tensor, the data type is int32, int64, float16, float32, float64.
x
(Tensor): An N-D Tensor, must have the same type as `x`.
x
(Tensor): An N-D Tensor, the data type is int32, int64, float16, float32, float64.
y
(Tensor): An N-D Tensor, must have the same type as `x`.
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
...
...
@@ -2518,30 +2518,30 @@ def atan2(y, x, name=None):
Examples:
.. code-block:: python
import paddle
import paddle
y
= paddle.to_tensor([-1, +1, +1, -1]).astype('float32')
#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [-1, 1, 1, -1])
x
= paddle.to_tensor([-1, +1, +1, -1]).astype('float32')
#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [-1, 1, 1, -1])
x
= paddle.to_tensor([-1, -1, +1, +1]).astype('float32')
#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [-1, -1, 1, 1])
y
= paddle.to_tensor([-1, -1, +1, +1]).astype('float32')
#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [-1, -1, 1, 1])
out = paddle.atan2(y, x
)
#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [-2.35619450, 2.35619450, 0.78539819, -0.78539819])
out = paddle.atan2(x, y
)
#Tensor(shape=[4], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [-2.35619450, 2.35619450, 0.78539819, -0.78539819])
"""
if
in_dygraph_mode
():
return
_C_ops
.
atan2
(
y
,
x
)
return
_C_ops
.
atan2
(
x
,
y
)
else
:
check_variable_and_dtype
(
y
,
'y'
,
[
'int32'
,
'int64'
,
'float16'
,
'float32'
,
'float64'
],
'atan2'
)
check_variable_and_dtype
(
x
,
'x'
,
[
'int32'
,
'int64'
,
'float16'
,
'float32'
,
'float64'
],
'atan2'
)
check_variable_and_dtype
(
y
,
'y'
,
[
'int32'
,
'int64'
,
'float16'
,
'float32'
,
'float64'
],
'atan2'
)
helper
=
LayerHelper
(
'atan2'
,
**
locals
())
inputs
=
{
'X1'
:
y
,
'X2'
:
x
}
inputs
=
{
'X1'
:
x
,
'X2'
:
y
}
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
helper
.
append_op
(
type
=
'atan2'
,
inputs
=
inputs
,
outputs
=
{
'Out'
:
out
})
...
...
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