From 63bd018c877a455d2d026152c0a71480e10d81aa Mon Sep 17 00:00:00 2001 From: SigureMo Date: Sat, 25 Sep 2021 13:14:28 +0800 Subject: [PATCH 1/5] add shufflenet --- .../paddle/vision/models/ShuffleNetV2_cn.rst | 32 +++++++++++++++++ .../vision/models/shufflenet_v2_swish_cn.rst | 34 +++++++++++++++++++ .../vision/models/shufflenet_v2_x0_25_cn.rst | 34 +++++++++++++++++++ .../vision/models/shufflenet_v2_x0_33_cn.rst | 34 +++++++++++++++++++ .../vision/models/shufflenet_v2_x0_5_cn.rst | 34 +++++++++++++++++++ .../vision/models/shufflenet_v2_x1_0_cn.rst | 34 +++++++++++++++++++ .../vision/models/shufflenet_v2_x1_5_cn.rst | 34 +++++++++++++++++++ .../vision/models/shufflenet_v2_x2_0_cn.rst | 34 +++++++++++++++++++ 8 files changed, 270 insertions(+) create mode 100644 docs/api/paddle/vision/models/ShuffleNetV2_cn.rst create mode 100644 docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst create mode 100644 docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst create mode 100644 docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst create mode 100644 docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst create mode 100644 docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst create mode 100644 docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst create mode 100644 docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst diff --git a/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst b/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst new file mode 100644 index 00000000000..e40fa31f1d0 --- /dev/null +++ b/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst @@ -0,0 +1,32 @@ +.. _cn_api_paddle_vision_models_ShuffleNetV2: + +ShuffleNetV2 +------------------------------- + +.. py:class:: paddle.vision.models.ShuffleNetV2(num_classes=1000, scale=1.0, act="relu") + + ShuffleNetV2模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design" `_ 。 + +参数 +::::::::: + - **num_classes** (int, 可选) - 最后一个全连接层输出的维度。如果该值小于0，则不定义最后一个全连接层。默认值：1000。 + - **scale** (float，可选) - 模型通道数的缩放比例。默认值：1.0。 + - **act** (激活函数) - 网络中使用的激活函数。默认值："relu"。 + +返回 +::::::::: +ShuffleNetV2模型，Layer的实例。 + +代码示例 +::::::::: +.. code-block:: python + + import paddle + from paddle.vision.models import ShuffleNetV2 + + shufflenet_v2_swish = ShuffleNetV2(scale=1.0, act="swish") + + x = paddle.rand([1, 3, 224, 224]) + out = shufflenet_v2_swish(x) + + print(out.shape) diff --git a/docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst new file mode 100644 index 00000000000..530b44bee0f --- /dev/null +++ b/docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst @@ -0,0 +1,34 @@ +.. _cn_api_paddle_vision_models_shufflenet_v2_swish: + +shufflenet_v2_swish +------------------------------- + +.. py:function:: paddle.vision.models.shufflenet_v2_swish(pretrained=False, **kwargs) + + shufflenet_v2_swish模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + +参数 +::::::::: + - **pretrained** (bool，可选) - 是否加载在imagenet数据集上的预训练权重。默认值：False。 + +返回 +::::::::: +shufflenet_v2_swish模型，Layer的实例。 + +代码示例 +::::::::: +.. code-block:: python + + import paddle + from paddle.vision.models import shufflenet_v2_swish + + # build model + model = shufflenet_v2_swish() + + # build model and load imagenet pretrained weight + # model = shufflenet_v2_swish(pretrained=True) + + x = paddle.rand([1, 3, 224, 224]) + out = model(x) + + print(out.shape) diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst new file mode 100644 index 00000000000..7130c37b3ba --- /dev/null +++ b/docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst @@ -0,0 +1,34 @@ +.. _cn_api_paddle_vision_models_shufflenet_v2_x0_25: + +shufflenet_v2_x0_25 +------------------------------- + +.. py:function:: paddle.vision.models.shufflenet_v2_x0_25(pretrained=False, **kwargs) + +shufflenet_v2_x0_25模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + +参数 +::::::::: + - **pretrained** (bool，可选) - 是否加载在imagenet数据集上的预训练权重。默认值：False。 + +返回 +::::::::: +shufflenet_v2_x0_25模型，Layer的实例。 + +代码示例 +::::::::: +.. code-block:: python + + import paddle + from paddle.vision.models import shufflenet_v2_x0_25 + + # build model + model = shufflenet_v2_x0_25() + + # build model and load imagenet pretrained weight + # model = shufflenet_v2_x0_25(pretrained=True) + + x = paddle.rand([1, 3, 224, 224]) + out = model(x) + + print(out.shape) diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst new file mode 100644 index 00000000000..ca26238527a --- /dev/null +++ b/docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst @@ -0,0 +1,34 @@ +.. _cn_api_paddle_vision_models_shufflenet_v2_x0_33: + +shufflenet_v2_x0_33 +------------------------------- + +.. py:function:: paddle.vision.models.shufflenet_v2_x0_33(pretrained=False, **kwargs) + + shufflenet_v2_x0_33模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + +参数 +::::::::: + - **pretrained** (bool，可选) - 是否加载在imagenet数据集上的预训练权重。默认值：False。 + +返回 +::::::::: +shufflenet_v2_x0_33模型，Layer的实例。 + +代码示例 +::::::::: +.. code-block:: python + + import paddle + from paddle.vision.models import shufflenet_v2_x0_33 + + # build model + model = shufflenet_v2_x0_33() + + # build model and load imagenet pretrained weight + # model = shufflenet_v2_x0_33(pretrained=True) + + x = paddle.rand([1, 3, 224, 224]) + out = model(x) + + print(out.shape) diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst new file mode 100644 index 00000000000..cd9d592a421 --- /dev/null +++ b/docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst @@ -0,0 +1,34 @@ +.. _cn_api_paddle_vision_models_shufflenet_v2_x0_5: + +shufflenet_v2_x0_5 +------------------------------- + +.. py:function:: paddle.vision.models.shufflenet_v2_x0_5(pretrained=False, **kwargs) + + shufflenet_v2_x0_5模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + +参数 +::::::::: + - **pretrained** (bool，可选) - 是否加载在imagenet数据集上的预训练权重。默认值：False。 + +返回 +::::::::: +shufflenet_v2_x0_5模型，Layer的实例。 + +代码示例 +::::::::: +.. code-block:: python + + import paddle + from paddle.vision.models import shufflenet_v2_x0_5 + + # build model + model = shufflenet_v2_x0_5() + + # build model and load imagenet pretrained weight + # model = shufflenet_v2_x0_5(pretrained=True) + + x = paddle.rand([1, 3, 224, 224]) + out = model(x) + + print(out.shape) diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst new file mode 100644 index 00000000000..e6dac40c0a9 --- /dev/null +++ b/docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst @@ -0,0 +1,34 @@ +.. _cn_api_paddle_vision_models_shufflenet_v2_x1_0: + +shufflenet_v2_x1_0 +------------------------------- + +.. py:function:: paddle.vision.models.shufflenet_v2_x1_0(pretrained=False, **kwargs) + + shufflenet_v2_x1_0模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + +参数 +::::::::: + - **pretrained** (bool，可选) - 是否加载在imagenet数据集上的预训练权重。默认值：False。 + +返回 +::::::::: +shufflenet_v2_x1_0模型，Layer的实例。 + +代码示例 +::::::::: +.. code-block:: python + + import paddle + from paddle.vision.models import shufflenet_v2_x1_0 + + # build model + model = shufflenet_v2_x1_0() + + # build model and load imagenet pretrained weight + # model = shufflenet_v2_x1_0(pretrained=True) + + x = paddle.rand([1, 3, 224, 224]) + out = model(x) + + print(out.shape) diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst new file mode 100644 index 00000000000..05687bc1122 --- /dev/null +++ b/docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst @@ -0,0 +1,34 @@ +.. _cn_api_paddle_vision_models_shufflenet_v2_x1_5: + +shufflenet_v2_x1_5 +------------------------------- + +.. py:function:: paddle.vision.models.shufflenet_v2_x1_5(pretrained=False, **kwargs) + + shufflenet_v2_x1_5模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + +参数 +::::::::: + - **pretrained** (bool，可选) - 是否加载在imagenet数据集上的预训练权重。默认值：False。 + +返回 +::::::::: +shufflenet_v2_x1_5模型，Layer的实例。 + +代码示例 +::::::::: +.. code-block:: python + + import paddle + from paddle.vision.models import shufflenet_v2_x1_5 + + # build model + model = shufflenet_v2_x1_5() + + # build model and load imagenet pretrained weight + # model = shufflenet_v2_x1_5(pretrained=True) + + x = paddle.rand([1, 3, 224, 224]) + out = model(x) + + print(out.shape) diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst new file mode 100644 index 00000000000..68a3b65dc6f --- /dev/null +++ b/docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst @@ -0,0 +1,34 @@ +.. _cn_api_paddle_vision_models_shufflenet_v2_x2_0: + +shufflenet_v2_x2_0 +------------------------------- + +.. py:function:: paddle.vision.models.shufflenet_v2_x2_0(pretrained=False, **kwargs) + + shufflenet_v2_x2_0模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + +参数 +::::::::: + - **pretrained** (bool，可选) - 是否加载在imagenet数据集上的预训练权重。默认值：False。 + +返回 +::::::::: +shufflenet_v2_x2_0模型，Layer的实例。 + +代码示例 +::::::::: +.. code-block:: python + + import paddle + from paddle.vision.models import shufflenet_v2_x2_0 + + # build model + model = shufflenet_v2_x2_0() + + # build model and load imagenet pretrained weight + # model = shufflenet_v2_x2_0(pretrained=True) + + x = paddle.rand([1, 3, 224, 224]) + out = model(x) + + print(out.shape) From 56419471bf90225df5cf0cf1887707d9f1309f97 Mon Sep 17 00:00:00 2001 From: SigureMo Date: Sat, 25 Sep 2021 18:30:03 +0800 Subject: [PATCH 2/5] refine docs --- docs/api/paddle/vision/models/ShuffleNetV2_cn.rst | 2 +- docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst | 2 +- docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst | 2 +- docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst | 2 +- docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst | 2 +- docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst | 2 +- docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst | 2 +- docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst b/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst index e40fa31f1d0..c122d3487a8 100644 --- a/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst +++ b/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst @@ -11,7 +11,7 @@ ShuffleNetV2 ::::::::: - **num_classes** (int, 可选) - 最后一个全连接层输出的维度。如果该值小于0，则不定义最后一个全连接层。默认值：1000。 - **scale** (float，可选) - 模型通道数的缩放比例。默认值：1.0。 - - **act** (激活函数) - 网络中使用的激活函数。默认值："relu"。 + - **act** (str, 可选) - 网络中使用的激活函数。默认值："relu"。 返回 ::::::::: diff --git a/docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst index 530b44bee0f..009fe06ff1a 100644 --- a/docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst +++ b/docs/api/paddle/vision/models/shufflenet_v2_swish_cn.rst @@ -5,7 +5,7 @@ shufflenet_v2_swish .. py:function:: paddle.vision.models.shufflenet_v2_swish(pretrained=False, **kwargs) - shufflenet_v2_swish模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + 使用 swish 进行激活的 ShuffleNetV2 模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 参数 ::::::::: diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst index 7130c37b3ba..2f25de99aa4 100644 --- a/docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst +++ b/docs/api/paddle/vision/models/shufflenet_v2_x0_25_cn.rst @@ -5,7 +5,7 @@ shufflenet_v2_x0_25 .. py:function:: paddle.vision.models.shufflenet_v2_x0_25(pretrained=False, **kwargs) -shufflenet_v2_x0_25模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + 输出通道缩放比例为 0.25 的 ShuffleNetV2 模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 参数 ::::::::: diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst index ca26238527a..4089ee17ec5 100644 --- a/docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst +++ b/docs/api/paddle/vision/models/shufflenet_v2_x0_33_cn.rst @@ -5,7 +5,7 @@ shufflenet_v2_x0_33 .. py:function:: paddle.vision.models.shufflenet_v2_x0_33(pretrained=False, **kwargs) - shufflenet_v2_x0_33模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + 输出通道缩放比例为 0.25 的 ShuffleNetV2 模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 参数 ::::::::: diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst index cd9d592a421..2d17f425c8c 100644 --- a/docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst +++ b/docs/api/paddle/vision/models/shufflenet_v2_x0_5_cn.rst @@ -5,7 +5,7 @@ shufflenet_v2_x0_5 .. py:function:: paddle.vision.models.shufflenet_v2_x0_5(pretrained=False, **kwargs) - shufflenet_v2_x0_5模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + 输出通道缩放比例为 0.5 的 ShuffleNetV2 模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 参数 ::::::::: diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst index e6dac40c0a9..e412623e326 100644 --- a/docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst +++ b/docs/api/paddle/vision/models/shufflenet_v2_x1_0_cn.rst @@ -5,7 +5,7 @@ shufflenet_v2_x1_0 .. py:function:: paddle.vision.models.shufflenet_v2_x1_0(pretrained=False, **kwargs) - shufflenet_v2_x1_0模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + 输出通道缩放比例为 1.0 的 ShuffleNetV2 模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 参数 ::::::::: diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst index 05687bc1122..2410f4089d2 100644 --- a/docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst +++ b/docs/api/paddle/vision/models/shufflenet_v2_x1_5_cn.rst @@ -5,7 +5,7 @@ shufflenet_v2_x1_5 .. py:function:: paddle.vision.models.shufflenet_v2_x1_5(pretrained=False, **kwargs) - shufflenet_v2_x1_5模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + 输出通道缩放比例为 1.5 的 ShuffleNetV2 模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 参数 ::::::::: diff --git a/docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst b/docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst index 68a3b65dc6f..15604a1b580 100644 --- a/docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst +++ b/docs/api/paddle/vision/models/shufflenet_v2_x2_0_cn.rst @@ -5,7 +5,7 @@ shufflenet_v2_x2_0 .. py:function:: paddle.vision.models.shufflenet_v2_x2_0(pretrained=False, **kwargs) - shufflenet_v2_x2_0模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 + 输出通道缩放比例为 2.0 的 ShuffleNetV2 模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Ecient CNN Architecture Design" `_ 。 参数 ::::::::: From c375848c96e019daaf84083f80c2a48dac8b22c2 Mon Sep 17 00:00:00 2001 From: SigureMo Date: Sun, 26 Sep 2021 08:12:34 +0800 Subject: [PATCH 3/5] add shufflenetv2 into overview --- docs/api/paddle/vision/Overview_cn.rst | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/docs/api/paddle/vision/Overview_cn.rst b/docs/api/paddle/vision/Overview_cn.rst index 4910625bbf4..4e5b45ef264 100644 --- a/docs/api/paddle/vision/Overview_cn.rst +++ b/docs/api/paddle/vision/Overview_cn.rst @@ -71,6 +71,14 @@ paddle.vision 目录是飞桨在视觉领域的高层API。具体如下： " :ref:`inception_v3 ` ", "InceptionV3模型" " :ref:`GoogLeNet ` ", "GoogLeNet模型" " :ref:`googlenet ` ", "GoogLeNet模型" + " :ref:`ShuffleNetV2 ` ", "ShuffleNetV2模型" + " :ref:`shufflenet_v2_x0_25 ` ", "输出通道缩放比例为 0.25 的 ShuffleNetV2 模型" + " :ref:`shufflenet_v2_x0_33 ` ", "输出通道缩放比例为 0.33 的 ShuffleNetV2 模型" + " :ref:`shufflenet_v2_x0_5 ` ", "输出通道缩放比例为 0.5 的 ShuffleNetV2 模型" + " :ref:`shufflenet_v2_x1_0 ` ", "输出通道缩放比例为 1.0 的 ShuffleNetV2 模型" + " :ref:`shufflenet_v2_x1_5 ` ", "输出通道缩放比例为 1.5 的 ShuffleNetV2 模型" + " :ref:`shufflenet_v2_x2_0 ` ", "输出通道缩放比例为 2.0 的 ShuffleNetV2 模型" + " :ref:`shufflenet_v2_swish ` ", "使用 swish 进行激活的 ShuffleNetV2 模型" .. _about_ops: From 069192deb54bfdde2461229a46ffecd95afaaef6 Mon Sep 17 00:00:00 2001 From: SigureMo Date: Fri, 8 Oct 2021 14:39:17 +0800 Subject: [PATCH 4/5] add parameter with_pool --- docs/api/paddle/vision/models/ShuffleNetV2_cn.rst | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst b/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst index c122d3487a8..9c5fa2a3cb8 100644 --- a/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst +++ b/docs/api/paddle/vision/models/ShuffleNetV2_cn.rst @@ -3,15 +3,16 @@ ShuffleNetV2 ------------------------------- -.. py:class:: paddle.vision.models.ShuffleNetV2(num_classes=1000, scale=1.0, act="relu") +.. py:class:: paddle.vision.models.ShuffleNetV2(scale=1.0, act="relu", num_classes=1000, with_pool=True) ShuffleNetV2模型，来自论文 `"ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design" `_ 。 参数 ::::::::: - - **num_classes** (int, 可选) - 最后一个全连接层输出的维度。如果该值小于0，则不定义最后一个全连接层。默认值：1000。 - **scale** (float，可选) - 模型通道数的缩放比例。默认值：1.0。 - **act** (str, 可选) - 网络中使用的激活函数。默认值："relu"。 + - **num_classes** (int, 可选) - 最后一个全连接层输出的维度。如果该值小于0，则不定义最后一个全连接层。默认值：1000。 + - **with_pool** (bool，可选) - 是否定义最后一个全连接层之前的池化层。默认值：True。 返回 ::::::::: From 73c2f50acd4da1841b2df2ef293e4909ac0d5da8 Mon Sep 17 00:00:00 2001 From: Nyakku Shigure Date: Tue, 2 Nov 2021 17:56:27 +0000 Subject: [PATCH 5/5] trigger CI