It seems that the quantitative input is missing

[yi1zhao]

Hello, thank you for your contribution to sparse.

In the autotune_cpu_random.sh, You use driver_cpu.cpp to call spmm API.
Issue is, there seems to be a lack of scale and zero_point data pointers in the input parameters?

Details:
The input parameter is,

struct thread_data {
        const int8_t * __restrict__ AB_val;
        const int * __restrict__ AB_bias;
        const int8_t * __restrict__ BC;
        int8_t * AC;
        int start;
        int end;
};

If the external interface of SPMM is:

s8xs8->s8.

Then its internal logic is:

s8xs8->s32->fp32->s8.

The quantitative formula of DST(s32) is:

dst_int8 = (scale_src * scale_weights / scale_dst) * dst_int32.

See for details: https://oneapi-src.github.io/oneDNN/dev_guide_attributes_quantization.html

[yi1zhao]

have found shift_scale