【Hackathon 6th No.16】为 Paddle 新增 LPPool1D / LPPool2D API #6639
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Asthestarsfalll
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May 8, 2024
Asthestarsfalll
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- 【Hackathon 6th No.16】为 Paddle 新增 LPPool1D / LPPool2D API -part Paddle#63544
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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-6639.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
| - **norm_type** (int|float)：幂平均池化的指数，不可以为 0。 | ||
| - **kernel_size** (int|list|tuple)：池化核大小。如果它是一个元组或列表，它必须包含两个整数值，(pool_size_Height, pool_size_Width)。若为一个整数，则它的平方值将作为池化核大小，比如若 pool_size=2，则池化核大小为 2x2。 | ||
| - **stride** (int|list|tuple，可选)：池化层的步长。如果它是一个元组或列表，它将包含两个整数，(pool_stride_Height, pool_stride_Width)。若为一个整数，则表示 H 和 W 维度上 stride 均为该值。默认值为 None，这时会使用 kernel_size 作为 stride。 | ||
| - **padding** (str|int|list|tuple，可选) 池化填充。如果它是一个字符串，可以是"VALID"或者"SAME"，表示填充算法，计算细节可参考上述 pool_padding = "SAME"或 pool_padding = "VALID" 时的计算公式。如果它是一个元组或列表，它可以有 3 种格式：(1)包含 2 个整数值：[pad_height, pad_width]；(2)包含 4 个整数值：[pad_height_top, pad_height_bottom, pad_width_left, pad_width_right]；(3)包含 4 个二元组：当 data_format 为"NCHW"时为 [[0,0], [0,0], [pad_height_top, pad_height_bottom], [pad_width_left, pad_width_right]]，当 data_format 为"NHWC"时为[[0,0], [pad_height_top, pad_height_bottom], [pad_width_left, pad_width_right], [0,0]]。若为一个整数，则表示 H 和 W 维度上均为该值。默认值：0。 |
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计算细节可参考上述 pool_padding = "SAME"或 pool_padding = "VALID" 时的计算公式。 上述的 pool_padding 是啥
| input(N_i, C_j, stride[0] \times h + m, stride[1] \times w + n)^{norm\_type})^{1 / norm\_type} | ||
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| 参数 |
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这边的参数的一些描述也和英文对齐吧，比如 pool_size_Height..
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