[Docathon][Fix Doc Format No.19、20] #7460
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感谢你贡献飞桨文档，文档预览构建中，Docs-New 跑完后即可预览，预览链接：http://preview-pr-7460.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
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这个PR描述已经修改为 searchsorted_cn and GradScaler_cn，谢谢您 |
Echo-Nie
suggested changes
Sep 21, 2025
| ``step()`` 与 ``optimizer.step()`` 类似，执行参数的更新，不更新缩放比例 loss_scaling。 | ||
| ``update()`` 更新缩放比例。 | ||
| ``minimize()`` 与 ``optimizer.minimize()`` 类似，执行参数的更新，同时更新缩放比例 loss_scaling，等效与``step()``+``update()``。 | ||
| ``minimize()`` 与 ``optimizer.minimize()`` 类似，执行参数的更新，同时更新缩放比例 loss_scaling，等效与 ``step()``+``update()``。 |
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| 将 Tensor 乘上缩放因子，返回缩放后的输出。 | ||
| 如果这个 :class:`GradScaler` 的实例不使用 loss scaling，则返回的输出将保持不变。 | ||
| 如果这个 :class: `GradScaler` 的实例不使用 loss scaling，则返回的输出将保持不变。 |
docs/api/paddle/searchsorted_cn.rst
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| - **right** (bool，可选) - 根据给定 ``values`` 在 ``sorted_sequence`` 查找对应的上边界或下边界。如果 ``sorted_sequence``的值为 nan 或 inf，则返回最内层维度的大小。默认值为 False，表示在 ``sorted_sequence`` 的查找给定 ``values`` 的下边界。 | ||
| - **name** (str，可选) - 具体用法请参见 :ref:`api_guide_Name`，一般无需设置，默认值为 None。 | ||
| - **right** (bool，可选) - 根据给定 ``values`` 在 ``sorted_sequence`` 查找对应的上边界或下边界。如果 ``sorted_sequence`` 的值为 nan 或 inf，则返回最内层维度的大小。默认值为 False，表示在 ``sorted_sequence`` 的查找给定 ``values`` 的下边界。 | ||
| - **name** (str，可选) - 具体用法请参见 :ref: `api_guide_Name`，一般无需设置，默认值为 None。 |
Echo-Nie
suggested changes
Sep 21, 2025
已108-109行增加回车，谢谢 @Echo-Nie
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预览文档： GradScaler_cn ; searchsorted_cn |
Echo-Nie
suggested changes
Sep 22, 2025
| - **right** (bool，可选) - 根据给定 ``values`` 在 ``sorted_sequence`` 查找对应的上边界或下边界。如果 ``sorted_sequence`` 的值为 nan 或 inf，则返回最内层维度的大小。默认值为 False，表示在 ``sorted_sequence`` 的查找给定 ``values`` 的下边界。 | ||
| - **name** (str，可选) - 具体用法请参见 :ref:`api_guide_Name`，一般无需设置，默认值为 None。 | ||
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| 返回 |
| GradScaler 用于动态图模式下的"自动混合精度"的训练。它控制 loss 的缩放比例，有助于避免浮点数溢出的问题。这个类具有 ``scale()``、 ``unscale_()``、 ``step()``、 ``update()``、 ``minimize()``和参数的``get()/set()``等方法。 | ||
| GradScaler 用于动态图模式下的"自动混合精度"的训练。它控制 loss 的缩放比例，有助于避免浮点数溢出的问题。这个类具有 ``scale()``、 ``unscale_()``、 ``step()``、 ``update()``、 ``minimize()`` 和参数的 ``get()/set()`` 等方法。 |
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LGTM @luotao1 |
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Description
Fix excessive " in the document in searchsorted_cn and GradScaler_cn.
issue : #7435
@Echo-Nie @sunzhongkai588