e3fe7fca004b2fd3eab4e69cfa91c032863b8031,pytorch/models/nasnet.py,ReductionCell0,__init__,#ReductionCell0#Any#Any#Any#Any#,468

Before Change


        super(ReductionCell0, self).__init__()
        self.conv_prev_1x1 = nn.Sequential()
        self.conv_prev_1x1.add_module("relu", nn.ReLU())
        self.conv_prev_1x1.add_module("conv", nn.Conv2d(in_channels_left, out_channels_left, 1, stride=1, bias=False))
        self.conv_prev_1x1.add_module("bn", nn.BatchNorm2d(out_channels_left, eps=0.001, momentum=0.1, affine=True))

        self.conv_1x1 = nn.Sequential()
        self.conv_1x1.add_module("relu", nn.ReLU())
        self.conv_1x1.add_module("conv", nn.Conv2d(in_channels_right, out_channels_right, 1, stride=1, bias=False))
        self.conv_1x1.add_module("bn", nn.BatchNorm2d(out_channels_right, eps=0.001, momentum=0.1, affine=True))

        self.comb_iter_0_left = BranchSeparablesReduction(out_channels_right, out_channels_right, 5, 2, 2, bias=False)
        self.comb_iter_0_right = BranchSeparablesReduction(out_channels_right, out_channels_right, 7, 2, 3, bias=False)

        self.comb_iter_1_left = MaxPoolPad()
        self.comb_iter_1_right = BranchSeparablesReduction(out_channels_right, out_channels_right, 7, 2, 3, bias=False)

        self.comb_iter_2_left = AvgPoolPad()
        self.comb_iter_2_right = BranchSeparablesReduction(out_channels_right, out_channels_right, 5, 2, 2, bias=False)

        self.comb_iter_3_right = nn.AvgPool2d(3, stride=1, padding=1, count_include_pad=False)

        self.comb_iter_4_left = BranchSeparablesReduction(out_channels_right, out_channels_right, 3, 1, 1, bias=False)
        self.comb_iter_4_right = MaxPoolPad()

After Change



        self.conv_1x1 = nn.Sequential()
        self.conv_1x1.add_module("relu", nn.ReLU())
        self.conv_1x1.add_module("conv", conv1x1(
            in_channels=in_channels_right,
            out_channels=out_channels_right))
        self.conv_1x1.add_module("bn", nasnet_batch_norm(channels=out_channels_right))

        self.comb_iter_0_left = BranchSeparablesReduction(out_channels_right, out_channels_right, 5, 2, 2, bias=False)
        self.comb_iter_0_right = BranchSeparablesReduction(out_channels_right, out_channels_right, 7, 2, 3, bias=False)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 4

Non-data size: 12

Instances


Project Name: osmr/imgclsmob
Commit Name: e3fe7fca004b2fd3eab4e69cfa91c032863b8031
Time: 2018-08-20
Author: osemery@gmail.com
File Name: pytorch/models/nasnet.py
Class Name: ReductionCell0
Method Name: __init__


Project Name: osmr/imgclsmob
Commit Name: e3fe7fca004b2fd3eab4e69cfa91c032863b8031
Time: 2018-08-20
Author: osemery@gmail.com
File Name: pytorch/models/nasnet.py
Class Name: ReductionCell0
Method Name: __init__


Project Name: osmr/imgclsmob
Commit Name: e3fe7fca004b2fd3eab4e69cfa91c032863b8031
Time: 2018-08-20
Author: osemery@gmail.com
File Name: pytorch/models/nasnet.py
Class Name: FirstCell
Method Name: __init__


Project Name: osmr/imgclsmob
Commit Name: e3fe7fca004b2fd3eab4e69cfa91c032863b8031
Time: 2018-08-20
Author: osemery@gmail.com
File Name: pytorch/models/nasnet.py
Class Name: ReductionCell1
Method Name: __init__


Project Name: osmr/imgclsmob
Commit Name: e3fe7fca004b2fd3eab4e69cfa91c032863b8031
Time: 2018-08-20
Author: osemery@gmail.com
File Name: pytorch/models/nasnet.py
Class Name: NormalCell
Method Name: __init__