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3a301780
编写于
8月 01, 2022
作者:
A
Asthestarsfalll
提交者:
GitHub
8月 01, 2022
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差异文件
update document of quantile and nanquantile; test=document_fix (#42413)
上级
c905a9e9
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1
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+4
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python/paddle/tensor/stat.py
python/paddle/tensor/stat.py
+4
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未找到文件。
python/paddle/tensor/stat.py
浏览文件 @
3a301780
...
...
@@ -440,8 +440,7 @@ def _compute_quantile(x, q, axis=None, keepdim=False, ignore_nan=False):
Compute the quantile of the input along the specified axis.
Args:
Args:
x (Tensor): The input Tensor, it's data type can be float32, float64.
x (Tensor): The input Tensor, it's data type can be float32, float64, int32, int64.
q (int|float|list): The q for calculate quantile, which should be in range [0, 1]. If q is a list,
each q will be calculated and the first dimension of output is same to the number of ``q`` .
axis (int|list, optional): The axis along which to calculate quantile. ``axis`` should be int or list of int.
...
...
@@ -525,7 +524,7 @@ def _compute_quantile(x, q, axis=None, keepdim=False, ignore_nan=False):
if
ignore_nan
:
indices
.
append
(
q_num
*
(
valid_counts
-
1
))
else
:
# TODO
(Asthestarsfalll)
: Use paddle.index_fill instead of where
# TODO: Use paddle.index_fill instead of where
index
=
q_num
*
(
valid_counts
-
1
)
last_index
=
x
.
shape
[
axis
]
-
1
nums
=
paddle
.
full_like
(
index
,
fill_value
=
last_index
)
...
...
@@ -569,7 +568,7 @@ def quantile(x, q, axis=None, keepdim=False):
If any values in a reduced row are NaN, then the quantiles for that reduction will be NaN.
Args:
x (Tensor): The input Tensor, it's data type can be float32, float64.
x (Tensor): The input Tensor, it's data type can be float32, float64
, int32, int64
.
q (int|float|list): The q for calculate quantile, which should be in range [0, 1]. If q is a list,
each q will be calculated and the first dimension of output is same to the number of ``q`` .
axis (int|list, optional): The axis along which to calculate quantile. ``axis`` should be int or list of int.
...
...
@@ -629,7 +628,7 @@ def nanquantile(x, q, axis=None, keepdim=False):
If all values in a reduced row are NaN, then the quantiles for that reduction will be NaN.
Args:
x (Tensor): The input Tensor, it's data type can be float32, float64.
x (Tensor): The input Tensor, it's data type can be float32, float64
, int32, int64
.
q (int|float|list): The q for calculate quantile, which should be in range [0, 1]. If q is a list,
each q will be calculated and the first dimension of output is same to the number of ``q`` .
axis (int|list, optional): The axis along which to calculate quantile. ``axis`` should be int or list of int.
...
...
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