Delete config.json
Browse files- config.json +0 -37
config.json
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{
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"model": "GAN",
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"torch_dtype": "float16",
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"model_type": "cnn",
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"generator": {
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"input_size": 100,
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"layers": [
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{"type": "ConvTranspose2d", "in_channels": 100, "out_channels": 512, "kernel_size": 4, "stride": 1, "padding": 0, "bias": false},
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{"type": "BatchNorm2d", "num_features": 512},
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{"type": "ReLU", "inplace": true},
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{"type": "ConvTranspose2d", "in_channels": 512, "out_channels": 256, "kernel_size": 4, "stride": 2, "padding": 1, "bias": false},
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{"type": "BatchNorm2d", "num_features": 256},
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{"type": "ReLU", "inplace": true},
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{"type": "ConvTranspose2d", "in_channels": 256, "out_channels": 128, "kernel_size": 4, "stride": 2, "padding": 1, "bias": false},
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{"type": "BatchNorm2d", "num_features": 128},
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{"type": "ReLU", "inplace": true},
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{"type": "ConvTranspose2d", "in_channels": 128, "out_channels": 64, "kernel_size": 4, "stride": 2, "padding": 1, "bias": false},
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{"type": "BatchNorm2d", "num_features": 64},
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{"type": "ReLU", "inplace": true},
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{"type": "ConvTranspose2d", "in_channels": 64, "out_channels": 3, "kernel_size": 4, "stride": 2, "padding": 1, "bias": false},
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{"type": "Tanh"}
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]
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},
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"discriminator": {
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// Add discriminator configuration here if needed
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},
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"optimizer": {
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"type": "Adam",
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"learning_rate": 0.0002,
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"betas": [0.5, 0.999]
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},
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"loss": "BCELoss"
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}
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