[API 2.0] add pool2d3d API,test=develop by LDOUBLEV · Pull Request #26331 · PaddlePaddle/Paddle

LDOUBLEV · 2020-08-16T11:07:13Z

PR types

New features

PR changes

APIs

Describe

add API include:

paddle.nn.functional.avg_pool2d
paddle.nn.functional.max_pool2d
paddle.nn.functional.avg_pool3d
paddle.nn.functional.max_pool3d
paddle.nn.layers.AvgPool2d
paddle.nn.layers.MaxPool2d
paddle.nn.layers.AvgPool3d
paddle.nn.layers.MaxPool3d
paddle.nn.functional.avg_pool1d
paddle.nn.functional.max_pool1d
paddle.nn.functional.adaptive_avg_pool1d
paddle.nn.functional.adaptive_max_pool1d
paddle.nn.AvgPool1d
paddle.nn.MaxPool1d
paddle.nn.AdaptiveAvgPool1d
paddle.nn.AdaptiveMaxPool1d

中文文档PR：
https://github.com/PaddlePaddle/FluidDoc/pull/2434/files

paddle-bot-old · 2020-08-16T11:07:20Z

Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

littletomatodonkey · 2020-08-17T02:20:49Z

python/paddle/nn/functional/pooling.py

+    return padding
+
+
+def max_pool2d(input,


littletomatodonkey · 2020-08-17T02:21:45Z

python/paddle/nn/functional/pooling.py

+    kernel_size = utils.convert_to_list(kernel_size, 2, 'pool_size')
+    stride = utils.convert_to_list(stride, 2, 'pool_stride')
+
+    data_format = "NCHW"


这块作为参数传进来吧？x可能试nhwc的

littletomatodonkey · 2020-08-17T02:22:16Z

python/paddle/nn/functional/pooling.py

+    return (pool_out, mask) if return_indices else pool_out
+
+
+def avg_pool2d(input,


littletomatodonkey · 2020-08-17T02:22:51Z

python/paddle/nn/functional/pooling.py

+            padding_algorithm = "SAME"
+            padding = [0, 0, 0]
+
+    data_format = "NCDHW"


littletomatodonkey · 2020-08-17T02:23:25Z

python/paddle/nn/functional/pooling.py

+    mask = helper.create_variable_for_type_inference(dtype)
+    outputs = {"Out": pool_out, "Mask": mask}
+
+    helper.append_op(


动态图模式用core.ops.xxx?

littletomatodonkey · 2020-08-17T02:23:57Z

python/paddle/nn/layer/common.py

+        self.name = name
+
+    def forward(self, input):
+        return F.max_pool3d(


littletomatodonkey · 2020-08-17T02:24:16Z

python/paddle/nn/layer/common.py

+                             None by default.
+
+    Returns:
+        Variable: The output tensor of pooling result. The data type is same as input tensor.


return: None

littletomatodonkey · 2020-08-17T02:24:27Z

python/paddle/nn/layer/common.py

+    H is the height of the feature,  D is the depth of the feature, and W is the width of the feature.
+
+    Args:
+        input (Variable): The input tensor of pooling operator, which is a 5-D tensor with


class里面没有input

littletomatodonkey · 2020-08-17T02:24:40Z

python/paddle/nn/layer/common.py

+        self.count_include_pad = count_include_pad
+        self.name = name
+
+    def forward(self, inputs):


WuHaobo · 2020-08-17T02:28:26Z

python/paddle/nn/functional/__init__.py

 from .pooling import pool3d  #DEFINE_ALIAS
 from .pooling import adaptive_pool2d  #DEFINE_ALIAS
 from .pooling import adaptive_pool3d  #DEFINE_ALIAS
+from .pooling import avg_pool2d


加上 #DEFINE_ALIAS 标示，做api映射

WuHaobo · 2020-08-17T02:28:53Z

python/paddle/nn/layer/__init__.py

 from .common import UpSample  #DEFINE_ALIAS
+from .common import AvgPool2d
+from .common import MaxPool2d
+from .common import AvgPool3d


#DEFINE_ALIAS

WuHaobo · 2020-08-17T03:55:24Z

python/paddle/nn/layer/common.py

+
+          # max pool2d
+          input = paddle.to_variable(np.random.uniform(-1, 1, [1, 3, 32, 32]).astype(np.float32))
+          output = F.avg_pool2d(input,


这个是functional的example吧

WuHaobo · 2020-08-17T04:50:36Z

python/paddle/nn/layer/common.py

+
+    def __init__(self,
+                 kernel_size=-1,
+                 stride=1,


stride 的默认值应该是None ，不是1；
以及注意None时候的行为

WuHaobo · 2020-08-17T04:50:57Z

python/paddle/nn/layer/common.py

+
+    def __init__(self,
+                 kernel_size,
+                 stride=1,


stride 的默认值应该是None ，不是1；
以及注意None时候的行为

WuHaobo · 2020-08-17T04:58:19Z

python/paddle/nn/layer/common.py

+                 stride=1,
+                 padding=0,
+                 ceil_mode=False,
+                 count_include_pad=True,


divisor_override，这个没对齐

WuHaobo · 2020-08-17T05:05:00Z

python/paddle/nn/layer/common.py

+
+          # max pool2d
+          input = paddle.to_variable(np.random.uniform(-1, 1, [1, 3, 32, 32]).astype(np.float32))
+          output = F.max_pool2d(input,


构造Module的样例

WuHaobo · 2020-08-17T05:11:36Z

python/paddle/nn/layer/common.py

+                 stride=1,
+                 padding=0,
+                 ceil_mode=False,
+                 return_indices=False,


ceil_mode return_indices的传参的顺序

WuHaobo · 2020-08-18T08:01:27Z

python/paddle/nn/layer/common.py

+          input = paddle.to_tensor(np.random.uniform(-1, 1, [1, 3, 32, 32]).astype(np.float32))
+          Pool2d = nn.AvgPool2d(kernel_size=2,
                                stride=2, padding=0)
+          output = Poo2d(input)


fix the typo "Poo2d"

WuHaobo · 2020-08-18T08:04:03Z

python/paddle/nn/layer/common.py

-                 name=None):
+                 ceil_mode=False,
+                 name=None,
+                 data_format="NCHW"):


参数顺序，name 一般是最后一个

WuHaobo · 2020-08-18T08:04:39Z

python/paddle/nn/layer/common.py

-                 name=None):
+                 ceil_mode=False,
+                 name=None,
+                 data_format="NCDHW"):


data_format 和 name的顺序

WuHaobo · 2020-08-18T08:05:05Z

python/paddle/nn/layer/common.py

        self.count_include_pad = count_include_pad
        self.name = name
+        self.data_format = data_format
+        self.divisor = divisor_override


WuHaobo

LGTM

jzhang533 · 2020-08-21T08:41:27Z

python/paddle/nn/functional/pooling.py

-    'pool2d', 'pool3d', 'adaptive_pool2d', 'adaptive_pool3d',
-    'adaptive_avg_pool2d', 'adaptive_avg_pool3d'
+    'pool2d',
+    'pool3d',


pool2d, pool3d 在2.0的API体系里不再需要了。对应的fluid下的api定义上加上deprecated

收到，这个改动和另外两条意见能否新提一个PR修改，functional/common.py 修改较多，很容易和其他PR冲突。解决冲突后还得重新过CI

jzhang533 · 2020-08-21T08:44:29Z

python/paddle/nn/functional/pooling.py

+    'adaptive_avg_pool2d',
+    'adaptive_avg_pool3d',
+    'adaptive_pool2d',
+    'adaptive_pool3d',


adaptive_pool2d, adaptive_pool3d应该是也不需要了，直接对fluid下的api定义上加上deprecated吧。
好像还缺少adaptive_max_pool2d, adaptive_max_pool3d ?

这两个API分给了一帆，他提了PR

jzhang533 · 2020-08-21T08:46:10Z

python/paddle/nn/functional/pooling.py

+    The output value of the layer with input size (N, C, L),
+    output (N, C, L_{out}) and kernel_size k can be precisely described as
+    For average pool1d:
+


这部分可以直接加个reference link 到class 版本的API里。
正在请 @TCChenlong 确认具体的写法。

收到，我线下找 chenlong 确认下。

jzhang533 · 2020-08-21T08:48:02Z

python/paddle/nn/layer/common.py

+    in NCHW format, where N is batch size, C is the number of channels,
+    H is the height of the feature, and W is the width of the feature.
+
+    Example:


输入输出的形状规范成torch文档里的Shape的写法。

收到，这个改动和另外两条意见能否新提一个PR修改，functional/common.py 修改较多，很容易和其他PR冲突。解决冲突后还得重新过CI

jzhang533

will merge
some followup:

split pooling implementation to separate file
fix api deprecation and document issues discussed in this pr.

jzhang533

lgtm(resolved conflicts)

raindrops2sea

LGTM

TCChenlong · 2020-08-23T02:02:56Z

python/paddle/nn/functional/pooling.py

+    Args:
+        x (Tensor): The input tensor of pooling operator which is a 3-D tensor with
+                          shape [N, C, L]. where `N` is batch size, `C` is the number of channels,
+                          `L` is the length of the feature. The data type if float32 or float64.


TCChenlong · 2020-08-23T02:29:17Z

python/paddle/nn/functional/pooling.py

+        ShapeError: If the output's shape calculated is not greater than 0.
+    Examples:
+        .. code-block:: python
+          import paddle


这里应该有一行间隔不然会预览bug

TCChenlong · 2020-08-23T02:29:40Z

python/paddle/nn/functional/pooling.py

+    Args:
+        x (Tensor): The input tensor of pooling operator which is a 3-D tensor with
+                          shape [N, C, L], where `N` is batch size, `C` is the number of channels,
+                          `L` is the length of the feature. The data type if float32 or float64.


TCChenlong · 2020-08-23T02:33:01Z

python/paddle/nn/functional/pooling.py

+            when `data_format` is `"NHWC"`, `pool_padding` can be in the form
+            `[[0,0], [pad_height_top, pad_height_bottom], [pad_width_left, pad_width_right], [0,0]]`.
+            Otherwise, the pool padding size will be a square of an int.
+        ceil_mode (bool): when True, will use `ceil` instead of `floor` to compute the output shape


少了'Default is False。'

TCChenlong · 2020-08-23T02:33:48Z

python/paddle/nn/functional/pooling.py

+        ShapeError: If the output's shape calculated is not greater than 0.
+    Examples:
+        .. code-block:: python
+          import paddle


同理应该加一个空行

add pool2d3d API,test=develop

02edddb

LDOUBLEV added 2 commits August 16, 2020 11:18

add api unitest,test=develop

94614cb

fix unittest, test=develop

086225d

littletomatodonkey reviewed Aug 17, 2020

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WuHaobo reviewed Aug 17, 2020

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LDOUBLEV added 2 commits August 17, 2020 06:22

fix reviews, test=develop

b5389ec

return one element when return indices is true, test=develop

4244206

LDOUBLEV changed the title ~~add pool2d3d API,test=develop~~ [API 2.0] add pool2d3d API,test=develop Aug 17, 2020

fix low converage; to_variable to to_tensor, test=develop

54039d9

WuHaobo reviewed Aug 18, 2020

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LDOUBLEV added 2 commits August 18, 2020 13:20

sort API params, test=develop

d54ba32

fix conflicts, test=develop

550c260

WuHaobo previously approved these changes Aug 20, 2020

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fix en doc, merge PR#26108 to here, test=develop

a89c65f

LDOUBLEV dismissed WuHaobo’s stale review via a89c65f August 21, 2020 02:27

LDOUBLEV mentioned this pull request Aug 21, 2020

[API 2.0] add functional pool1d API #26108

Closed

LDOUBLEV added 2 commits August 21, 2020 03:21

fix en doc, test=develop

a6d7806

fix conflicts

149b466

jzhang533 reviewed Aug 21, 2020

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jzhang533 previously approved these changes Aug 21, 2020

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dyning previously approved these changes Aug 21, 2020

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fix conflicts, test=develop

c581fc8

LDOUBLEV dismissed stale reviews from dyning and jzhang533 via c581fc8 August 24, 2020 05:12

dyning approved these changes Aug 24, 2020

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jzhang533 approved these changes Aug 24, 2020

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raindrops2sea approved these changes Aug 24, 2020

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jzhang533 merged commit c8e1836 into PaddlePaddle:develop Aug 24, 2020

TCChenlong reviewed Aug 24, 2020

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shippingwang mentioned this pull request Aug 25, 2020

[API2.0]Unify pooling function and add adaptive max pooling function #26483

Merged

		return (pool_out, mask) if return_indices else pool_out


		def avg_pool2d(input,

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WuHaobo Aug 17, 2020 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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