mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-21 23:12:07 +00:00
b1f9044d6c
fix incorrect output of Qwen2-7B-Instruct-GPTQ-Int4 and Qwen2-7B-Instruct-AWQ ipex kernel provide func like add_bias, so no need add it outside Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
from typing import Optional
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import torch
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import torch.nn as nn
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import intel_extension_for_pytorch as ipex
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class WQLinear(nn.Module):
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def __init__(
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self, w_bit, group_size, qweight, qzeros, scales, bias: Optional[torch.Tensor]
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):
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super().__init__()
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if w_bit not in [4]:
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raise NotImplementedError("Only 4-bit are supported for now.")
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self.in_features = qweight.shape[0]
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self.out_features = qweight.shape[1] * 32 // w_bit
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self.w_bit = w_bit
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self.group_size = group_size if group_size != -1 else self.in_features
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# quick sanity check (make sure aligment)
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assert self.in_features % self.group_size == 0
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assert self.out_features % (32 // self.w_bit) == 0
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self.qweight = qweight
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self.qzeros = qzeros
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self.scales = scales
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self.bias = bias
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self.woq_linear = (
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ipex.llm.quantization.IPEXWeightOnlyQuantizedLinear.from_weight(
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self.qweight,
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self.scales,
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self.qzeros,
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self.in_features,
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self.out_features,
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bias=self.bias,
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group_size=self.group_size,
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quant_method=ipex.llm.quantization.QuantMethod.AWQ_GEMM,
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dtype=ipex.llm.quantization.QuantDtype.INT4,
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)
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)
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@torch.no_grad()
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def forward(self, x):
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out_shape = x.shape[:-1] + (self.out_features,)
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out = self.woq_linear(x.reshape(-1, x.shape[-1]))
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return out.reshape(out_shape)
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