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19 changes: 19 additions & 0 deletions mamba_ssm/ops/selective_scan_interface.py
Original file line number Diff line number Diff line change
Expand Up @@ -111,6 +111,25 @@ def selective_scan_fn(u, delta, A, B, C, D=None, z=None, delta_bias=None, delta_
"""
return SelectiveScanFn.apply(u, delta, A, B, C, D, z, delta_bias, delta_softplus, return_last_state)

def select_scan_fn_init_hidden(u, delta, A, B, C, D=None, z=None, delta_bias=None, delta_softplus=False,
return_last_state=False, init_state=None):
"""
Selective Scan with hidden state initialization
It uses the base kernel method but applies a transformation to B to mimic the initialization of the hidden state.
Memory and time overhead is minimal compared to ref method.
"""
delta2 = delta + delta_bias[..., None].float()
v = F.softplus(delta2[:,:,0]) * u[:,:,0] + 1e-7
B = B.clone()
sig = (init_state[:,:,:] * torch.exp(F.softplus(delta2[:,:,0]).unsqueeze(-1) * A.unsqueeze(0)) ) / v.unsqueeze(-1)
dim = A.shape[0]
B = repeat(B, "B G N L -> B (G H) N L", H=dim // B.shape[1])
B = B.clone()
B[:,:,:,0] = B[:,:,:,0] + sig
C = C.clone()
C = repeat(C, "B G N L -> B (G H) N L", H=dim // C.shape[1])

return SelectiveScanFn.apply(u, delta, A, B, C, D, z, delta_bias, delta_softplus, return_last_state)

def selective_scan_ref(u, delta, A, B, C, D=None, z=None, delta_bias=None, delta_softplus=False,
return_last_state=False):
Expand Down