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[Docathon] Fix NO.41-50 API Labelpdate en doc refer label #58329

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merged 1 commit into from
Oct 24, 2023
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[Docathon] Fix NO.41-50 API Labelpdate en doc refer label #58329

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2 changes: 1 addition & 1 deletion python/paddle/nn/functional/loss.py
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Original file line number Diff line number Diff line change
Expand Up @@ -713,7 +713,7 @@ def binary_cross_entropy_with_logits(
logit, label, weight=None, reduction='mean', pos_weight=None, name=None
):
r"""
Combine the sigmoid layer and the :ref:`api_nn_loss_BCELoss` layer.
Combine the sigmoid layer and the :ref:`api_paddle_nn_BCELoss` layer.

This measures the element-wise probability error in classification tasks
in which each class is independent.
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18 changes: 9 additions & 9 deletions python/paddle/nn/functional/pooling.py
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Expand Up @@ -189,7 +189,7 @@ def avg_pool1d(
):
"""
This API implements average pooling 1d operation,
See more details in :ref:`api_nn_pooling_AvgPool1d` .
See more details in :ref:`api_paddle_nn_AvgPool1d` .

Args:
x (Tensor): The input tensor of pooling operator which is a 3-D tensor with
Expand Down Expand Up @@ -312,7 +312,7 @@ def avg_pool2d(
):
"""
This API implements average pooling 2d operation.
See more details in :ref:`api_nn_pooling_AvgPool2d` .
See more details in :ref:`api_paddle_nn_AvgPool2d` .

Args:
x (Tensor): The input tensor of pooling operator which is a 4-D tensor with
Expand Down Expand Up @@ -445,7 +445,7 @@ def avg_pool3d(
):
"""
This API implements average pooling 3d operation.
See more details in :ref:`api_nn_pooling_AvgPool3d` .
See more details in :ref:`api_paddle_nn_AvgPool3d` .

Args:
x (Tensor): The input tensor of pooling operator, which is a 5-D tensor with
Expand Down Expand Up @@ -572,7 +572,7 @@ def max_pool1d(
):
"""
This API implements max pooling 1d opereation.
See more details in :ref:`api_nn_pooling_MaxPool1d` .
See more details in :ref:`api_paddle_nn_MaxPool1d` .

Args:
x (Tensor): The input tensor of pooling operator which is a 3-D tensor with
Expand Down Expand Up @@ -1184,7 +1184,7 @@ def max_pool2d(
):
"""
This API implements max pooling 2d operation.
See more details in :ref:`api_nn_pooling_MaxPool2d` .
See more details in :ref:`api_paddle_nn_MaxPool2d` .

Args:
x (Tensor): The input tensor of pooling operator which is a 4-D tensor with
Expand Down Expand Up @@ -1484,7 +1484,7 @@ def adaptive_avg_pool1d(x, output_size, name=None):
Adaptive average pooling 1d operation on :attr:`x` according to :attr:`output_size`.

Notes:
See more details in :ref:`api_nn_pooling_AdaptiveAvgPool1d` .
See more details in :ref:`api_paddle_nn_AdaptiveAvgPool1d` .

Args:
x (Tensor): The input Tensor of pooling, which is a 3-D tensor with shape :math:`[N, C, L]`, where :math:`N` is batch size, :math:`C` is the number of channels and :math:`L` is the length of the feature. The data type is float32 or float64.
Expand Down Expand Up @@ -1825,7 +1825,7 @@ def adaptive_avg_pool3d(x, output_size, data_format='NCDHW', name=None):
def adaptive_max_pool1d(x, output_size, return_mask=False, name=None):
"""
This API implements adaptive max pooling 1d operation.
See more details in :ref:`api_nn_pooling_AdaptiveMaxPool1d` .
See more details in :ref:`api_paddle_nn_AdaptiveMaxPool1d` .

Args:
x (Tensor): The input tensor of pooling operator, which is a 3-D tensor
Expand Down Expand Up @@ -1921,7 +1921,7 @@ def adaptive_max_pool1d(x, output_size, return_mask=False, name=None):
def adaptive_max_pool2d(x, output_size, return_mask=False, name=None):
"""
This operation applies a 2D adaptive max pooling on input tensor.
See more details in :ref:`api_nn_pooling_AdaptiveMaxPool2d` .
See more details in :ref:`api_paddle_nn_AdaptiveMaxPool2d` .

Args:
x (Tensor): The input tensor of adaptive max pool2d operator, which is a 4-D tensor. The data type can be float16, float32, float64, int32 or int64.
Expand Down Expand Up @@ -2007,7 +2007,7 @@ def adaptive_max_pool2d(x, output_size, return_mask=False, name=None):
def adaptive_max_pool3d(x, output_size, return_mask=False, name=None):
"""
This operation applies a 3D adaptive max pooling on input tensor.
See more details in :ref:`api_nn_pooling_AdaptiveMaxPool3d` .
See more details in :ref:`api_paddle_nn_AdaptiveMaxPool3d` .

Args:
x (Tensor): The input tensor of adaptive max pool3d operator, which is a 5-D tensor. The data type can be float32, float64.
Expand Down