spandrel.architectures.FBCNN.FBCNN

class documentation

class FBCNN(nn.Module): (source)

Constructor: FBCNN(in_nc, out_nc, nc, nb, ...)

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Method __init__ Undocumented
Method forward Undocumented
Class Variable hyperparameters Undocumented
Instance Variable m_body_decoder Undocumented
Instance Variable m_body_encoder Undocumented
Instance Variable m_down1 Undocumented
Instance Variable m_down2 Undocumented
Instance Variable m_down3 Undocumented
Instance Variable m_head Undocumented
Instance Variable m_tail Undocumented
Instance Variable m_up1 Undocumented
Instance Variable m_up2 Undocumented
Instance Variable m_up3 Undocumented
Instance Variable nb Undocumented
Instance Variable nc Undocumented
Instance Variable qf_embed Undocumented
Instance Variable qf_pred Undocumented
Instance Variable to_beta_1 Undocumented
Instance Variable to_beta_2 Undocumented
Instance Variable to_beta_3 Undocumented
Instance Variable to_gamma_1 Undocumented
Instance Variable to_gamma_2 Undocumented
Instance Variable to_gamma_3 Undocumented
def __init__(self, *, in_nc=3, out_nc=3, nc=[64, 128, 256, 512], nb=4, act_mode='R', downsample_mode='strideconv', upsample_mode='convtranspose'): (source)

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def forward(self, x, qf_input=None): (source)

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hyperparameters: dict = (source)

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m_body_decoder = (source)

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m_body_encoder = (source)

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m_down1 = (source)

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m_down2 = (source)

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m_down3 = (source)

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m_head = (source)

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m_tail = (source)

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m_up1 = (source)

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m_up2 = (source)

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m_up3 = (source)

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nb = (source)

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nc = (source)

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qf_embed = (source)

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qf_pred = (source)

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to_beta_1 = (source)

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to_beta_2 = (source)

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to_beta_3 = (source)

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to_gamma_1 = (source)

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to_gamma_2 = (source)

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to_gamma_3 = (source)

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