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Use tensorization for avx2 as well. #126

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Use tensorization for avx2 as well. #126

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6 changes: 5 additions & 1 deletion torch_tvm/custom_tvm_ops/topi/quantized_linear_int8.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,8 @@
from topi.util import get_const_int
from topi.generic import nn
from topi import tag
from topi.x86.tensor_intrin import dot_16x1x16_int8_int8_int32
from topi.x86.tensor_intrin import dot_16x1x16_int8_int8_int32, \
dot_1x4x16_int8_int8_int32_avx2

from enum import Enum
AVXType = Enum('AVXType', 'AVX2 AVX512 None')
Expand Down Expand Up @@ -146,6 +147,9 @@ def _schedule_quantized_mm(cfg, s, QGEMM):
if avx_type == AVXType.AVX512:
pc = dot_16x1x16_int8_int8_int32()
s[QGEMM].tensorize(xi, pc)
if avx_type == AVXType.AVX2:
pc = dot_1x4x16_int8_int8_int32_avx2()
s[QGEMM].tensorize(xi, pc)
else:
s[QGEMM].reorder(xo, y, xi)
s[QGEMM].unroll(y)
Expand Down