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Update trimul inputs #145

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Merged
hsadasivan merged 1 commit into from
Jul 31, 2025
Merged

Update trimul inputs #145

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34 changes: 23 additions & 11 deletions cuequivariance_torch/cuequivariance_torch/primitives/triangle.py
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Original file line number Diff line number Diff line change
Expand Up @@ -130,11 +130,15 @@ def triangle_multiplicative_update(
norm_in_weight: Optional[torch.Tensor] = None,
norm_in_bias: Optional[torch.Tensor] = None,
p_in_weight: Optional[torch.Tensor] = None,
p_in_bias: Optional[torch.Tensor] = None,
g_in_weight: Optional[torch.Tensor] = None,
g_in_bias: Optional[torch.Tensor] = None,
norm_out_weight: Optional[torch.Tensor] = None,
norm_out_bias: Optional[torch.Tensor] = None,
p_out_weight: Optional[torch.Tensor] = None,
p_out_bias: Optional[torch.Tensor] = None,
g_out_weight: Optional[torch.Tensor] = None,
g_out_bias: Optional[torch.Tensor] = None,
eps: float = 1e-5,
precision: Optional[TriMulPrecision] = None,
) -> torch.Tensor:
Expand Down Expand Up @@ -167,11 +171,15 @@ def triangle_multiplicative_update(
norm_in_weight (torch.Tensor): Weight tensor for input normalization of shape (D,).
norm_in_bias (torch.Tensor): Bias tensor for input normalization of shape (D,).
p_in_weight (torch.Tensor): Weight tensor for input projection of shape (2D, D).
p_in_bias (torch.Tensor): Bias tensor for input projection of shape (D,).
g_in_weight (torch.Tensor): Weight tensor for input gating of shape (2D, D).
g_in_bias (torch.Tensor): Bias tensor for input gating of shape (D,).
norm_out_weight (torch.Tensor): Weight tensor for output normalization of shape (D,).
norm_out_bias (torch.Tensor): Bias tensor for output normalization of shape (D,).
p_out_weight (torch.Tensor): Weight tensor for output projection of shape (D, D).
p_out_bias (torch.Tensor): Bias tensor for output projection of shape (D,).
g_out_weight (torch.Tensor): Weight tensor for output gating of shape (D, D).
g_out_bias (torch.Tensor): Bias tensor for output gating of shape (D,).
eps (float, optional): Small constant for numerical stability in normalization. Defaults to 1e-5.
precision (Precision, optional): Precision mode for matrix multiplications. If None, uses TF32 if enabled in PyTorch using torch.backends.cuda.matmul.allow_tf32, otherwise uses default precision.
Available options:
Expand Down Expand Up @@ -223,15 +231,19 @@ def triangle_multiplicative_update(
return f(
x,
direction,
mask,
norm_in_weight,
norm_in_bias,
p_in_weight,
g_in_weight,
norm_out_weight,
norm_out_bias,
p_out_weight,
g_out_weight,
eps,
precision,
mask=mask,
norm_in_weight=norm_in_weight,
norm_in_bias=norm_in_bias,
p_in_weight=p_in_weight,
p_in_bias=p_in_bias,
g_in_weight=g_in_weight,
g_in_bias=g_in_bias,
norm_out_weight=norm_out_weight,
norm_out_bias=norm_out_bias,
p_out_weight=p_out_weight,
p_out_bias=p_out_bias,
g_out_weight=g_out_weight,
g_out_bias=g_out_bias,
eps=eps,
precision=precision,
)