szha commented on a change in pull request #9614: MobileNetV2
URL: https://github.com/apache/incubator-mxnet/pull/9614#discussion_r165440508
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File path: python/mxnet/gluon/model_zoo/vision/mobilenet.py
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@@ -17,27 +17,72 @@
# coding: utf-8
# pylint: disable= arguments-differ
-"""MobileNet, implemented in Gluon."""
-__all__ = ['MobileNet', 'mobilenet1_0', 'mobilenet0_75', 'mobilenet0_5',
'mobilenet0_25',
- 'get_mobilenet']
+"""MobileNet and MobileNetV2, implemented in Gluon."""
+__all__ = ['MobileNet', 'MobileNetV2', 'mobilenet1_0', 'mobilenet0_75',
+ 'mobilenet0_5', 'mobilenet0_25', 'get_mobilenet']
+
+__modify__ = 'dwSun'
+__modified_date__ = '18/01/31'
import os
+from ... import nn
from ....context import cpu
from ...block import HybridBlock
-from ... import nn
+
# Helpers
+# pylint: disable= too-many-arguments
def _add_conv(out, channels=1, kernel=1, stride=1, pad=0, num_group=1):
out.add(nn.Conv2D(channels, kernel, stride, pad, groups=num_group,
use_bias=False))
out.add(nn.BatchNorm(scale=True))
out.add(nn.Activation('relu'))
+
def _add_conv_dw(out, dw_channels, channels, stride):
_add_conv(out, channels=dw_channels, kernel=3, stride=stride, pad=1,
num_group=dw_channels)
_add_conv(out, channels=channels)
+class BottleNeck(nn.HybridBlock):
+ r"""BottleNeck used in MobileNetV2 model from the
+ `"Inverted Residuals and Linear Bottlenecks:
+ Mobile Networks for Classification, Detection and Segmentation"
+ <https://arxiv.org/abs/1801.04381>`_ paper.
+
+ Parameters
+ ----------
+ c_in : int
+ Number of input channels.
+ c_out : int
+ Number of output channels.
+ t : int
+ Layer expansion ratio.
+ s : int
+ strides
Review comment:
Use the argument naming from
https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/model_zoo/vision/resnet.py#L95-L102
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