kernelsight / splits /test.json
williamhtan's picture
Add split definitions
faf77cc verified
Raw
History Blame Contribute Delete
62.1 kB
{
"split": "test",
"seed": 0,
"n": 160,
"traces": [
{
"path": "kernels/cutlass_fmha/_out/b2h16_q1024_d128_causal/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 68,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fmha/_out/b2h16_q512_d128_no/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 68,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fmha/_out/b2h16_q512_d64_causal/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 102,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fmha/_out/b4h8_q512_d128_causal/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 68,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fmha/_out/b8h8_q2048_d64_causal/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 102,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fmha/_out/b8h8_q512_d128_no/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 68,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fmha/_out/fa_sq2048_d64_causal/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 102,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fmha/_out/q2048/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 68,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fmha/_out/q4096/input/tensor_input.npz",
"motif": "cutlass_fmha",
"n_kernels": 68,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"attention"
],
"l2_labels": [
"attention_scaled_dot_product"
],
"dominant_l1": "attention",
"dominant_l2": "attention_scaled_dot_product"
},
{
"path": "kernels/cutlass_fp8_gemm/_out/m1024_n1024_k4096/input/tensor_input.npz",
"motif": "cutlass_fp8_gemm",
"n_kernels": 201,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_fp8_gemm/_out/m2048_n2048_k8192/input/tensor_input.npz",
"motif": "cutlass_fp8_gemm",
"n_kernels": 201,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_fp8_gemm/_out/m4096_n4096_k2048/input/tensor_input.npz",
"motif": "cutlass_fp8_gemm",
"n_kernels": 201,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m1024_n1024_k8192_rM_s4_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m1024_n1024_k8192_rM_s8_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m1024_n8192_k4096_rH_s2_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m1024_n8192_k4096_rN_s2_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m1024_n8192_k4096_rN_s4_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m2048_n2048_k8192_rN_s1_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m2048_n4096_k8192_rN_s2_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n2048_k2048_rH_s1_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n2048_k2048_rM_s8_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n2048_k2048_rN_s1_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n4096_k4096_rN_s1_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n4096_k4096_rN_s4_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n4096_k8192_rH_s1_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n4096_k8192_rH_s2_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n4096_k8192_rH_s8_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_n4096_k8192_rM_s4_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m4096_rN/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n1024_k4096_rN_s1_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n1024_k4096_rN_s1_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n1024_k4096_rN_s4_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n1024_k4096_rN_s8_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n8192_k1024_rM_s1_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n8192_k1024_rM_s4_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n8192_k1024_rM_s4_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n8192_k1024_rN_s1_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n8192_k1024_rN_s8_b0/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n8192_k8192_rH_s4_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_gemm/_out/m8192_n8192_k8192_rN_s2_b1/input/tensor_input.npz",
"motif": "cutlass_gemm",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_grouped_gemm/_out/m512_n1024_k1024/input/tensor_input.npz",
"motif": "cutlass_grouped_gemm",
"n_kernels": 900,
"n_unique_kernels": 7,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_bmm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_bmm"
},
{
"path": "kernels/cutlass_grouped_gemm/_out/m512_n512_k512/input/tensor_input.npz",
"motif": "cutlass_grouped_gemm",
"n_kernels": 900,
"n_unique_kernels": 7,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_bmm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_bmm"
},
{
"path": "kernels/cutlass_sparse_gemm/_out/m1024_n1024_k8192/input/tensor_input.npz",
"motif": "cutlass_sparse_gemm",
"n_kernels": 607,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_sparse_gemm/_out/m2048_n2048_k8192/input/tensor_input.npz",
"motif": "cutlass_sparse_gemm",
"n_kernels": 607,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_sparse_gemm/_out/m2048_n8192_k4096/input/tensor_input.npz",
"motif": "cutlass_sparse_gemm",
"n_kernels": 607,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_sparse_gemm/_out/m8192_n8192_k8192/input/tensor_input.npz",
"motif": "cutlass_sparse_gemm",
"n_kernels": 607,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/k2048/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k1024_rH_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k1024_rM_s4_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k1024_rN_s4_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k2048_rM_s1_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k2048_rN_s4_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k4096_rM_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k4096_rM_s4_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k4096_rN_s4_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n1024_k512_rN_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n4096_k2048_rM_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n4096_k2048_rN_s1_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n4096_k2048_rN_s4_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m1024_n4096_k2048_rN_s8_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_n2048_k1024_rH_s8_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_n2048_k1024_rM_s2_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_n2048_k1024_rM_s8_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_n2048_k1024_rN_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_n2048_k2048_rH_s2_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_n2048_k4096_rH_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_n2048_k8192_rM_s1_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_n512_k4096_rH_s1_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m2048_sw8/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m4096_n1024_k2048_rH_s1_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m4096_n4096_k1024_rH_s4_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m4096_n4096_k1024_rH_s8_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m4096_n4096_k1024_rN_s2_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m4096_n4096_k2048_rH_s4_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m4096_n4096_k2048_rM_s2_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m4096_n4096_k2048_rN_s4_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m4096_n4096_k4096_rM_s2_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n2048_k4096_rM_s1_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n2048_k4096_rN_s2_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n2048_k4096_rN_s2_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k2048_rH_s8_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k2048_rM_s2_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k4096_rH_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k4096_rH_s4_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k4096_rM_s8_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k4096_rM_s8_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k4096_rN_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k8192_rN_s1_b0/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/m512_n512_k8192_rN_s2_b1/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/cutlass_ws_overlap/_out/rect_mk/input/tensor_input.npz",
"motif": "cutlass_ws_overlap",
"n_kernels": 206,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/gather/_out/N4M_T128/input/tensor_input.npz",
"motif": "gather",
"n_kernels": 10001,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"memory_movement"
],
"l2_labels": [
"memory_movement_gather"
],
"dominant_l1": "memory_movement",
"dominant_l2": "memory_movement_gather"
},
{
"path": "kernels/gather/_out/N8M_T128/input/tensor_input.npz",
"motif": "gather",
"n_kernels": 10001,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"memory_movement"
],
"l2_labels": [
"memory_movement_gather"
],
"dominant_l1": "memory_movement",
"dominant_l2": "memory_movement_gather"
},
{
"path": "kernels/kernelbench/_out/L1_P100/dt-fp16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"loss"
],
"l2_labels": [
"loss_hinge"
],
"dominant_l1": "loss",
"dominant_l2": "loss_hinge"
},
{
"path": "kernels/kernelbench/_out/L1_P19/dt-bf16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_relu"
],
"dominant_l1": "activation",
"dominant_l2": "activation_relu"
},
{
"path": "kernels/kernelbench/_out/L1_P20/dt-bf16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_leaky_relu"
],
"dominant_l1": "activation",
"dominant_l2": "activation_leaky_relu"
},
{
"path": "kernels/kernelbench/_out/L1_P21/dt-bf16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_sigmoid"
],
"dominant_l1": "activation",
"dominant_l2": "activation_sigmoid"
},
{
"path": "kernels/kernelbench/_out/L1_P22/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_tanh"
],
"dominant_l1": "activation",
"dominant_l2": "activation_tanh"
},
{
"path": "kernels/kernelbench/_out/L1_P23/dt-bf16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"softmax"
],
"l2_labels": [
"softmax_softmax"
],
"dominant_l1": "softmax",
"dominant_l2": "softmax_softmax"
},
{
"path": "kernels/kernelbench/_out/L1_P24/dt-bf16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"softmax"
],
"l2_labels": [
"softmax_log_softmax"
],
"dominant_l1": "softmax",
"dominant_l2": "softmax_log_softmax"
},
{
"path": "kernels/kernelbench/_out/L1_P25/dt-fp16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 2,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_swish"
],
"dominant_l1": "activation",
"dominant_l2": "activation_swish"
},
{
"path": "kernels/kernelbench/_out/L1_P27/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_selu"
],
"dominant_l1": "activation",
"dominant_l2": "activation_selu"
},
{
"path": "kernels/kernelbench/_out/L1_P28/dt-fp16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_hardsigmoid"
],
"dominant_l1": "activation",
"dominant_l2": "activation_hardsigmoid"
},
{
"path": "kernels/kernelbench/_out/L1_P29/dt-fp16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_softplus"
],
"dominant_l1": "activation",
"dominant_l2": "activation_softplus"
},
{
"path": "kernels/kernelbench/_out/L1_P30/dt-fp16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 198,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_softsign"
],
"dominant_l1": "activation",
"dominant_l2": "activation_softsign"
},
{
"path": "kernels/kernelbench/_out/L1_P31/dt-bf16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_elu"
],
"dominant_l1": "activation",
"dominant_l2": "activation_elu"
},
{
"path": "kernels/kernelbench/_out/L1_P32/dt-bf16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_hardtanh"
],
"dominant_l1": "activation",
"dominant_l2": "activation_hardtanh"
},
{
"path": "kernels/kernelbench/_out/L1_P33/dt-fp16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 103,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"normalization"
],
"l2_labels": [
"normalization_batchnorm"
],
"dominant_l1": "normalization",
"dominant_l2": "normalization_batchnorm"
},
{
"path": "kernels/kernelbench/_out/L1_P34/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 99,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"normalization"
],
"l2_labels": [
"normalization_instancenorm"
],
"dominant_l1": "normalization",
"dominant_l2": "normalization_instancenorm"
},
{
"path": "kernels/kernelbench/_out/L1_P35/dt-fp32_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 198,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"normalization"
],
"l2_labels": [
"normalization_groupnorm"
],
"dominant_l1": "normalization",
"dominant_l2": "normalization_groupnorm"
},
{
"path": "kernels/kernelbench/_out/L1_P36/dt-fp32_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 462,
"n_unique_kernels": 5,
"T": 512,
"l1_labels": [
"normalization"
],
"l2_labels": [
"normalization_rmsnorm"
],
"dominant_l1": "normalization",
"dominant_l2": "normalization_rmsnorm"
},
{
"path": "kernels/kernelbench/_out/L1_P37/dt-fp16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 2,
"T": 512,
"l1_labels": [
"normalization"
],
"l2_labels": [
"normalization_frobeniusnorm"
],
"dominant_l1": "normalization",
"dominant_l2": "normalization_frobeniusnorm"
},
{
"path": "kernels/kernelbench/_out/L1_P38/dt-bf16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 198,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"normalization"
],
"l2_labels": [
"normalization_l1norm"
],
"dominant_l1": "normalization",
"dominant_l2": "normalization_l1norm"
},
{
"path": "kernels/kernelbench/_out/L1_P40/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"normalization"
],
"l2_labels": [
"normalization_layernorm"
],
"dominant_l1": "normalization",
"dominant_l2": "normalization_layernorm"
},
{
"path": "kernels/kernelbench/_out/L1_P41/dt-bf16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"pooling"
],
"l2_labels": [
"pooling_max_pool"
],
"dominant_l1": "pooling",
"dominant_l2": "pooling_max_pool"
},
{
"path": "kernels/kernelbench/_out/L1_P41/dt-fp32_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"pooling"
],
"l2_labels": [
"pooling_max_pool"
],
"dominant_l1": "pooling",
"dominant_l2": "pooling_max_pool"
},
{
"path": "kernels/kernelbench/_out/L1_P45/dt-fp32_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"pooling"
],
"l2_labels": [
"pooling_avg_pool"
],
"dominant_l1": "pooling",
"dominant_l2": "pooling_avg_pool"
},
{
"path": "kernels/kernelbench/_out/L1_P46/dt-fp32_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"pooling"
],
"l2_labels": [
"pooling_avg_pool"
],
"dominant_l1": "pooling",
"dominant_l2": "pooling_avg_pool"
},
{
"path": "kernels/kernelbench/_out/L1_P47/dt-fp16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_sum"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_sum"
},
{
"path": "kernels/kernelbench/_out/L1_P48/dt-fp16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_mean"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_mean"
},
{
"path": "kernels/kernelbench/_out/L1_P49/dt-bf16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_max"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_max"
},
{
"path": "kernels/kernelbench/_out/L1_P5/dt-bf16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"elementwise"
],
"l2_labels": [
"elementwise_scalar_multiplication"
],
"dominant_l1": "elementwise",
"dominant_l2": "elementwise_scalar_multiplication"
},
{
"path": "kernels/kernelbench/_out/L1_P51/dt-fp16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_argmax"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_argmax"
},
{
"path": "kernels/kernelbench/_out/L1_P52/dt-fp16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_argmin"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_argmin"
},
{
"path": "kernels/kernelbench/_out/L1_P53/dt-fp32_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_min"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_min"
},
{
"path": "kernels/kernelbench/_out/L1_P60/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"conv"
],
"l2_labels": [
"conv_conv3d_standard"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv3d_standard"
},
{
"path": "kernels/kernelbench/_out/L1_P65/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"conv"
],
"l2_labels": [
"conv_convtranspose2d"
],
"dominant_l1": "conv",
"dominant_l2": "conv_convtranspose2d"
},
{
"path": "kernels/kernelbench/_out/L1_P77/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"conv"
],
"l2_labels": [
"conv_convtranspose3d"
],
"dominant_l1": "conv",
"dominant_l2": "conv_convtranspose3d"
},
{
"path": "kernels/kernelbench/_out/L1_P78/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"conv"
],
"l2_labels": [
"conv_convtranspose2d"
],
"dominant_l1": "conv",
"dominant_l2": "conv_convtranspose2d"
},
{
"path": "kernels/kernelbench/_out/L1_P79/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"conv"
],
"l2_labels": [
"conv_convtranspose1d"
],
"dominant_l1": "conv",
"dominant_l2": "conv_convtranspose1d"
},
{
"path": "kernels/kernelbench/_out/L1_P8/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"matmul"
],
"l2_labels": [
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/kernelbench/_out/L1_P82/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"conv"
],
"l2_labels": [
"conv_conv2d_depthwise"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv2d_depthwise"
},
{
"path": "kernels/kernelbench/_out/L1_P88/dt-fp32_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 264,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"activation"
],
"l2_labels": [
"activation_gelu"
],
"dominant_l1": "activation",
"dominant_l2": "activation_gelu"
},
{
"path": "kernels/kernelbench/_out/L1_P89/dt-fp32_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_cumsum"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_cumsum"
},
{
"path": "kernels/kernelbench/_out/L1_P90/dt-fp16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 33,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_cumprod"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_cumprod"
},
{
"path": "kernels/kernelbench/_out/L1_P91/dt-fp32_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 165,
"n_unique_kernels": 2,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_cumsum"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_cumsum"
},
{
"path": "kernels/kernelbench/_out/L1_P92/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 165,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_cumsum"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_cumsum"
},
{
"path": "kernels/kernelbench/_out/L1_P94/dt-fp32_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 198,
"n_unique_kernels": 3,
"T": 512,
"l1_labels": [
"loss"
],
"l2_labels": [
"loss_mse"
],
"dominant_l1": "loss",
"dominant_l2": "loss_mse"
},
{
"path": "kernels/kernelbench/_out/L1_P95/dt-fp16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 2,
"T": 512,
"l1_labels": [
"loss"
],
"l2_labels": [
"loss_cross_entropy"
],
"dominant_l1": "loss",
"dominant_l2": "loss_cross_entropy"
},
{
"path": "kernels/kernelbench/_out/L1_P96/dt-bf16_s42/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 66,
"n_unique_kernels": 2,
"T": 512,
"l1_labels": [
"loss"
],
"l2_labels": [
"loss_huber"
],
"dominant_l1": "loss",
"dominant_l2": "loss_huber"
},
{
"path": "kernels/kernelbench/_out/L1_P98/dt-fp16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 198,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"loss"
],
"l2_labels": [
"loss_kldiv"
],
"dominant_l1": "loss",
"dominant_l2": "loss_kldiv"
},
{
"path": "kernels/kernelbench/_out/L1_P99/dt-fp16_s123/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 330,
"n_unique_kernels": 5,
"T": 512,
"l1_labels": [
"loss"
],
"l2_labels": [
"loss_triplet_margin"
],
"dominant_l1": "loss",
"dominant_l2": "loss_triplet_margin"
},
{
"path": "kernels/kernelbench/_out/L2_P100/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 330,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"conv",
"elementwise",
"reduction"
],
"l2_labels": [
"conv_convtranspose3d",
"elementwise_clamp",
"elementwise_div",
"reduction_min"
],
"dominant_l1": "conv",
"dominant_l2": "conv_convtranspose3d"
},
{
"path": "kernels/kernelbench/_out/L2_P18/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 726,
"n_unique_kernels": 12,
"T": 512,
"l1_labels": [
"matmul",
"reduction"
],
"l2_labels": [
"matmul_gemm",
"reduction_max",
"reduction_sum"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/kernelbench/_out/L2_P23/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 198,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"conv",
"normalization",
"reduction"
],
"l2_labels": [
"conv_conv3d_standard",
"normalization_groupnorm",
"reduction_mean"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv3d_standard"
},
{
"path": "kernels/kernelbench/_out/L2_P35/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 264,
"n_unique_kernels": 7,
"T": 512,
"l1_labels": [
"activation",
"conv",
"elementwise",
"pooling"
],
"l2_labels": [
"activation_hardswish",
"activation_mish",
"conv_conv2d_standard",
"elementwise_sub",
"pooling_max_pool"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv2d_standard"
},
{
"path": "kernels/kernelbench/_out/L2_P37/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 198,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"activation",
"matmul",
"normalization",
"reduction"
],
"l2_labels": [
"activation_swish",
"matmul_gemm",
"normalization_groupnorm",
"reduction_sum"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/kernelbench/_out/L2_P46/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 264,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"activation",
"conv",
"elementwise",
"pooling"
],
"l2_labels": [
"activation_tanh",
"conv_conv2d_standard",
"elementwise_sub",
"pooling_avg_pool"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv2d_standard"
},
{
"path": "kernels/kernelbench/_out/L2_P49/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 231,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"activation",
"conv",
"softmax"
],
"l2_labels": [
"activation_sigmoid",
"conv_convtranspose3d",
"softmax_softmax"
],
"dominant_l1": "conv",
"dominant_l2": "conv_convtranspose3d"
},
{
"path": "kernels/kernelbench/_out/L2_P54/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 264,
"n_unique_kernels": 7,
"T": 512,
"l1_labels": [
"activation",
"conv",
"elementwise"
],
"l2_labels": [
"activation_gelu",
"activation_leaky_relu",
"conv_conv2d_standard",
"elementwise_mul"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv2d_standard"
},
{
"path": "kernels/kernelbench/_out/L2_P57/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 231,
"n_unique_kernels": 6,
"T": 512,
"l1_labels": [
"activation",
"conv"
],
"l2_labels": [
"activation_hardswish",
"activation_relu",
"conv_conv2d_standard"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv2d_standard"
},
{
"path": "kernels/kernelbench/_out/L2_P64/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 462,
"n_unique_kernels": 12,
"T": 512,
"l1_labels": [
"activation",
"matmul"
],
"l2_labels": [
"activation_leaky_relu",
"matmul_gemm"
],
"dominant_l1": "matmul",
"dominant_l2": "matmul_gemm"
},
{
"path": "kernels/kernelbench/_out/L2_P67/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 132,
"n_unique_kernels": 4,
"T": 512,
"l1_labels": [
"activation",
"conv",
"pooling"
],
"l2_labels": [
"activation_gelu",
"conv_conv2d_standard",
"pooling_global_avg_pool"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv2d_standard"
},
{
"path": "kernels/kernelbench/_out/L2_P82/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 198,
"n_unique_kernels": 5,
"T": 512,
"l1_labels": [
"activation",
"conv",
"elementwise",
"reduction"
],
"l2_labels": [
"activation_tanh",
"conv_conv2d_standard",
"elementwise_bias_add",
"elementwise_scaling",
"reduction_max"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv2d_standard"
},
{
"path": "kernels/kernelbench/_out/L2_P92/input/tensor_input.npz",
"motif": "kernelbench",
"n_kernels": 561,
"n_unique_kernels": 15,
"T": 512,
"l1_labels": [
"activation",
"conv",
"elementwise",
"normalization",
"softmax"
],
"l2_labels": [
"activation_tanh",
"conv_conv2d_standard",
"elementwise_residual_add",
"normalization_groupnorm",
"softmax_logsumexp"
],
"dominant_l1": "conv",
"dominant_l2": "conv_conv2d_standard"
},
{
"path": "kernels/reduction/_out/N16M_T256_I4/input/tensor_input.npz",
"motif": "reduction",
"n_kernels": 20001,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"reduction"
],
"l2_labels": [
"reduction_sum"
],
"dominant_l1": "reduction",
"dominant_l2": "reduction_sum"
},
{
"path": "kernels/scatter/_out/N1M_B16_T512/input/tensor_input.npz",
"motif": "scatter",
"n_kernels": 20001,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"memory_movement"
],
"l2_labels": [
"memory_movement_scatter"
],
"dominant_l1": "memory_movement",
"dominant_l2": "memory_movement_scatter"
},
{
"path": "kernels/scatter/_out/N256K_B16_T128/input/tensor_input.npz",
"motif": "scatter",
"n_kernels": 20001,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"memory_movement"
],
"l2_labels": [
"memory_movement_scatter"
],
"dominant_l1": "memory_movement",
"dominant_l2": "memory_movement_scatter"
},
{
"path": "kernels/scatter/_out/N256K_B64/input/tensor_input.npz",
"motif": "scatter",
"n_kernels": 20001,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"memory_movement"
],
"l2_labels": [
"memory_movement_scatter"
],
"dominant_l1": "memory_movement",
"dominant_l2": "memory_movement_scatter"
},
{
"path": "kernels/vector_add/_out/N128M_T1024/input/tensor_input.npz",
"motif": "vector_add",
"n_kernels": 10001,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"elementwise"
],
"l2_labels": [
"elementwise_add"
],
"dominant_l1": "elementwise",
"dominant_l2": "elementwise_add"
},
{
"path": "kernels/vector_add/_out/N4M_T128/input/tensor_input.npz",
"motif": "vector_add",
"n_kernels": 10001,
"n_unique_kernels": 1,
"T": 512,
"l1_labels": [
"elementwise"
],
"l2_labels": [
"elementwise_add"
],
"dominant_l1": "elementwise",
"dominant_l2": "elementwise_add"
}
],
"notes": "L2-stratified test split: ~10% of traces per L2 class (guarantees \u2265 1 entry per L1 class with \u2265 3 traces)."
}