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体验新版 GitCode,发现更多精彩内容 >>
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3ce7eb0f
编写于
9月 07, 2023
作者:
S
Shaopeng Ling
提交者:
GitHub
9月 07, 2023
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差异文件
fix doc typo and format (#57018)
* fix doc typo * fix doc typo and missing part
上级
1d4e938d
变更
3
隐藏空白更改
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3 changed file
with
7 addition
and
4 deletion
+7
-4
python/paddle/nn/layer/container.py
python/paddle/nn/layer/container.py
+1
-1
python/paddle/nn/layer/norm.py
python/paddle/nn/layer/norm.py
+5
-2
python/paddle/tensor/creation.py
python/paddle/tensor/creation.py
+1
-1
未找到文件。
python/paddle/nn/layer/container.py
浏览文件 @
3ce7eb0f
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@@ -303,7 +303,7 @@ class ParameterList(Layer):
This container acts like a Python list, but parameters it contains will be properly added.
Parameters:
parameters (iterable, optional): Iterable Parameters to be added
parameters (iterable, optional): Iterable Parameters to be added
.
Examples:
.. code-block:: python
...
...
python/paddle/nn/layer/norm.py
浏览文件 @
3ce7eb0f
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@@ -894,8 +894,8 @@ class BatchNorm(Layer):
- :math:`x` : mini-batch data
- :math:`m` : the size of the mini-batch data
When use_global_stats = True, the :math:`\
\mu_{\
\beta}`
and :math:`\
\sigma_{\
\beta}^{2}` are not the statistics of one mini-batch.
When use_global_stats = True, the :math:`\
mu_{
\beta}`
and :math:`\
sigma_{
\beta}^{2}` are not the statistics of one mini-batch.
They are global or running statistics (moving_mean and moving_variance). It usually got from the
pre-trained model. Calculated as follows:
...
...
@@ -1181,6 +1181,9 @@ class BatchNorm1D(_BatchNormBase):
\sigma_{\beta}^{2} &\gets \frac{1}{m} \sum_{i=1}^{m}(x_i - \
\mu_{\beta})^2 \qquad &//\ mini-batch\ variance \\
- :math:`x` : mini-batch data
- :math:`m` : the size of the mini-batch data
When use_global_stats = True, the :math:`\mu_{\beta}`
and :math:`\sigma_{\beta}^{2}` are not the statistics of one mini-batch.
They are global or running statistics (moving_mean and moving_variance). It usually got from the
...
...
python/paddle/tensor/creation.py
浏览文件 @
3ce7eb0f
...
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@@ -1065,7 +1065,7 @@ def zeros(shape, dtype=None, name=None):
If ``shape`` is a list or tuple, each element of it should be integer or 0-D Tensor with shape [].
If ``shape`` is an Tensor, it should be an 1-D Tensor which represents a list.
dtype(np.dtype|str, optional): Data type of output Tensor, it supports
bool, float16, float32, float64, int32 and int64. Default: if None, the dat
e
type is float32.
bool, float16, float32, float64, int32 and int64. Default: if None, the dat
a
type is float32.
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`.
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