gcp-vqvae-lite / config_geometric_decoder.yaml
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dimension: 1024 # Used as dim_in and dim_out for ContinuousTransformerWrapper
ff_mult: 4 # Multiplier for the feedforward dimension
depth: 12 # Number of layers in the Encoder
heads: 8 # Number of attention heads in the Encoder
rotary_pos_emb: True
attn_flash: True # FA-2 if installed
attn_kv_heads: 2 # GQA
qk_norm: True
pre_norm: True
residual_attn: False # Set pre_norm to False if residual_attn is True
num_memory_tokens: 0 # Number of memory tokens, 0 means no memory tokens
causal: False # Enable causal masking for autoregressive attention
direction_loss_bins: 16
pos_scale_factor: 1.0