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LLM: update q8 convert xpu&cpu (#8930)

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Ruonan Wang 2023-09-08 16:01:17 +08:00 committed by GitHub
parent 33d75adadf
commit b3f5dd5b5d
1 changed files with 3 additions and 2 deletions
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5
python/llm/src/bigdl/llm/transformers/low_bit_linear.py
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@ -60,6 +60,7 @@ IS_SERVER = is_server()
IS_SPR = is_spr()
TORCH_LINEAR_THRESHOLD = 96
SYM_INT4 = ggml_tensor_qtype["sym_int4"]
SYM_INT8 = ggml_tensor_qtype["sym_int8"]
def ggml_convert_qtype(tensor: torch.Tensor, qtype: int, device=None):
@ -98,7 +99,7 @@ def ggml_q_format_convet_cpu2xpu(tensor: torch.Tensor, num_elem: int, qtype: int
src = ctypes.c_void_p(tensor.data.data_ptr())
if qtype == ggml_tensor_qtype["sym_int4"]:
if qtype in [SYM_INT4, SYM_INT8]:
dst_tensor = torch.empty_like(tensor)
elif qtype == ggml_tensor_qtype["sym_int5"]:
QK = ggml.ggml_qk_size(qtype)
@ -123,7 +124,7 @@ def ggml_q_format_convet_xpu2cpu(tensor: torch.Tensor, num_elem: int, qtype: int
src = ctypes.c_void_p(tensor.data.data_ptr())
if qtype == ggml_tensor_qtype["sym_int4"]:
if qtype in [SYM_INT4, SYM_INT8]:
dst_tensor = torch.empty_like(tensor)
elif qtype == ggml_tensor_qtype["sym_int5"]:
QK = ggml.ggml_qk_size(ggml_tensor_qtype["asym_int5"])