huggingface/text-generation-inference
5
0
Fork 0
mirror of https://github.com/huggingface/text-generation-inference.git synced 2025-09-11 12:24:53 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: fp8 dimensions size

Browse Source 
fp8 quantization currently limited to tensors with shapes where both dimensions are divisible by 16.
This commit is contained in:
Dong Shin 2024-04-13 17:27:13 +09:00 committed by GitHub
parent c38a7d7ddd
commit c07f54aac2
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 3 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
server/text_generation_server/utils/layers.py
View File

@ -212,6 +212,8 @@ class Fp8Linear(nn.Module):
self.bias = bias if bias is not None else None self.bias = bias if bias is not None else None
def forward(self, input: torch.Tensor) -> torch.Tensor: def forward(self, input: torch.Tensor) -> torch.Tensor:
if (bsz := input.shape[0]) & 15:
input = F.pad(input,(0, 0, 0, 16 - (bsz & 15)))
qinput, scale = fp8_quantize(input) qinput, scale = fp8_quantize(input)
output, _ = torch._scaled_mm( output, _ = torch._scaled_mm(
qinput, qinput,
@ -221,7 +223,7 @@ class Fp8Linear(nn.Module):
scale_b=self.scale, scale_b=self.scale,
bias=self.bias, bias=self.bias,
) )
return output return output[:bsz]
class Linear8bitLt(nn.Module): class Linear8bitLt(nn.Module):