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DeepSet: Adapt output dimension of invariant module inside the equivariant module (#557) #561

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merged 2 commits into from
Aug 21, 2025
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DeepSet: Adapt output dimension of invariant module inside the equivariant module (#557) #561

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bd71c86
adapt output dim of invariant module in equivariant module
vpratz Aug 21, 2025
1fedbd9
DeepSet: adapt docstring to reflect code
vpratz Aug 21, 2025
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6 changes: 3 additions & 3 deletions bayesflow/networks/deep_set/deep_set.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ def __init__(
output_pooling: str = "mean",
mlp_widths_equivariant: Sequence[int] = (64, 64),
mlp_widths_invariant_inner: Sequence[int] = (64, 64),
mlp_widths_invariant_outer: Sequence[int] = (64, 64),
mlp_widths_invariant_outer: Sequence[int] = (64, 4),
mlp_widths_invariant_last: Sequence[int] = (64, 64),
activation: str = "silu",
kernel_initializer: str = "he_normal",
Expand Down Expand Up @@ -68,7 +68,7 @@ def __init__(
mlp_widths_invariant_inner : Sequence[int], optional
Widths of the inner MLP layers within the invariant module. Default is (64, 64).
mlp_widths_invariant_outer : Sequence[int], optional
Widths of the outer MLP layers within the invariant module. Default is (64, 64).
Widths of the outer MLP layers within the invariant module. Default is (64, 4).
mlp_widths_invariant_last : Sequence[int], optional
Widths of the MLP layers in the final invariant transformation. Default is (64, 64).
activation : str, optional
Expand All @@ -80,7 +80,7 @@ def __init__(
spectral_normalization : bool, optional
Whether to apply spectral normalization to stabilize training. Default is False.
**kwargs
Additional keyword arguments passed to the equivariant and invariant modules.
Additional keyword arguments passed to the base class.
"""

super().__init__(**kwargs)
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