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@ -17,6 +17,7 @@ def make_cnn(
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conv_0_enable_softmax: bool,
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conv_0_power_softmax: float,
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conv_0_meanmode_softmax: bool,
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conv_0_no_input_mode_softmax: bool,
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l_relu_negative_slope: float,
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) -> torch.nn.Sequential:
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assert len(conv_out_channels_list) >= 1
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@ -63,7 +64,10 @@ def make_cnn(
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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, power=conv_0_power_softmax, mean_mode=conv_0_meanmode_softmax
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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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