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2023-04-02 00:30:17 -07:00
import torch
import torch.nn as nn
from cacheflow import activation_ops
class SiluAndMul(nn.Module):
def __init__(self):
super().__init__()
def forward(
self,
x: torch.Tensor, # (num_tokens, 2 * d)
) -> torch.Tensor: # (num_tokens, d)
num_tokens = x.shape[0]
d = x.shape[1] // 2
out = torch.empty(num_tokens, d, dtype=x.dtype, device=x.device)
activation_ops.silu_and_mul(out, x)
return out