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1 changed files with 10 additions and 9 deletions
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@ -50,6 +50,16 @@ def make_cnn(
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setting_understood = True
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setting_understood = True
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assert setting_understood
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assert setting_understood
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if conv_0_enable_softmax:
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cnn.append(
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SoftmaxPower(
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dim=1,
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power=conv_0_power_softmax,
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mean_mode=conv_0_meanmode_softmax,
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no_input_mode=conv_0_no_input_mode_softmax,
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)
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)
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setting_understood = False
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setting_understood = False
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if pooling_type.upper() == str("max").upper():
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if pooling_type.upper() == str("max").upper():
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cnn.append(torch.nn.MaxPool2d(kernel_size=mp_1_kernel_size, stride=mp_1_stride))
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cnn.append(torch.nn.MaxPool2d(kernel_size=mp_1_kernel_size, stride=mp_1_stride))
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@ -61,15 +71,6 @@ def make_cnn(
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setting_understood = True
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setting_understood = True
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assert setting_understood
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assert setting_understood
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if conv_0_enable_softmax:
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cnn.append(
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SoftmaxPower(
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dim=1,
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power=conv_0_power_softmax,
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mean_mode=conv_0_meanmode_softmax,
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no_input_mode=conv_0_no_input_mode_softmax,
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)
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)
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# Changing structure
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# Changing structure
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for i in range(1, len(conv_out_channels_list)):
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for i in range(1, len(conv_out_channels_list)):
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