- workload for 7 kernels change, keep only 2-3 decode record for the kernel, all other has batch size of at least 256
- baseline binding change:
- baseline-kleidiai-arm/conv2d/conv2d_fp32_nhwc_kh3_kw3_s1_p1_c32_c64: add N as a var input
- baseline-kleidiai-arm/gemm/gemm_bf16_n512_k512: pack A at LHS every time, remove memcmp for A
- baseline-kleidiai-arm/gemm/gemm_qs4c32_n256_k512: dynamic quant A + pack A every time, remove memcmp for A
- baseline-kleidiai-arm/gemm/gemm_qs4cx_sme2_n256_k512: same as baseline-kleidiai-arm/gemm/gemm_qs4c32_n256_k512
- baseline-kleidiai-arm/conv2d/conv2d_f16_nhwc_kh3_kw3_valid_c32_c64: use NEON to convert f16 to f32, do LHS pack every time
update kleidiai sme2 kernels
ArtificialRay
b854496
init kieldAI kernels
ArtificialRay
7724b7a
Update definition and workload for CV model kernels:
ArtificialRay
7e7beda
- only conv2d and conv2d depthwise are kept, remove others
- conv2d and conv2d depthwise have fp32 and int8 percision kernels
- add new maxpool2d definitions
- add workloads for new conv2d, conv2d depthwise definitions, pooling, lstm definitions.
