configs/cifar10_k_ve.py [35:50]:
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    model.normalization = "GroupNorm"
    model.nonlinearity = "swish"
    model.nf = 128
    model.ch_mult = (2, 2, 2)
    model.num_res_blocks = 4
    model.attn_resolutions = (16,)
    model.resamp_with_conv = True
    model.conditional = True
    model.fir = True
    model.fir_kernel = [1, 3, 3, 1]
    model.skip_rescale = True
    model.resblock_type = "biggan"
    model.progressive = "none"
    model.progressive_input = "residual"
    model.progressive_combine = "sum"
    model.attention_type = "ddpm"
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configs/cifar10_ve_ct_adaptive.py [51:66]:
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    model.normalization = "GroupNorm"
    model.nonlinearity = "swish"
    model.nf = 128
    model.ch_mult = (2, 2, 2)
    model.num_res_blocks = 4
    model.attn_resolutions = (16,)
    model.resamp_with_conv = True
    model.conditional = True
    model.fir = True
    model.fir_kernel = [1, 3, 3, 1]
    model.skip_rescale = True
    model.resblock_type = "biggan"
    model.progressive = "none"
    model.progressive_input = "residual"
    model.progressive_combine = "sum"
    model.attention_type = "ddpm"
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