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ArtificialRay commited on
Commit
c211fb1
·
1 Parent(s): 7e7beda

add baseline solution source at all neural network kernel definitions

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Files changed (47) hide show
  1. definitions/conv2d/conv2d_fp32_kh1_kw1_sh1_sw1_dh1_dw1_p0.json +2 -1
  2. definitions/conv2d/conv2d_fp32_kh1_kw1_sh2_sw2_dh1_dw1_p0.json +2 -1
  3. definitions/conv2d/conv2d_fp32_kh3_kw3_sh1_sw1_dh1_dw1_p1.json +2 -1
  4. definitions/conv2d/conv2d_fp32_kh3_kw3_sh2_sw2_dh1_dw1_p1.json +2 -1
  5. definitions/conv2d/conv2d_fp32_kh7_kw7_sh2_sw2_dh1_dw1_p3.json +2 -1
  6. definitions/conv2d/conv2d_w8a8ch_kh1_kw1_sh1_sw1_dh1_dw1_p0.json +2 -1
  7. definitions/conv2d/conv2d_w8a8ch_kh1_kw1_sh2_sw2_dh1_dw1_p0.json +2 -1
  8. definitions/conv2d/conv2d_w8a8ch_kh3_kw3_sh1_sw1_dh1_dw1_p1.json +2 -1
  9. definitions/conv2d/conv2d_w8a8ch_kh3_kw3_sh2_sw2_dh1_dw1_p1.json +2 -1
  10. definitions/conv2d/conv2d_w8a8ch_kh7_kw7_sh2_sw2_dh1_dw1_p3.json +2 -1
  11. definitions/conv2d_depthwise/conv2d_depthwise_fp32_kh3_kw3_sh1_sw1_dh1_dw1_p1.json +2 -1
  12. definitions/conv2d_depthwise/conv2d_depthwise_fp32_kh3_kw3_sh2_sw2_dh1_dw1_p1.json +2 -1
  13. definitions/conv2d_depthwise/conv2d_depthwise_fp32_kh5_kw5_sh1_sw1_dh1_dw1_p2.json +2 -1
  14. definitions/conv2d_depthwise/conv2d_depthwise_fp32_kh5_kw5_sh2_sw2_dh1_dw1_p2.json +2 -1
  15. definitions/conv2d_depthwise/conv2d_depthwise_w8a8ch_kh3_kw3_sh1_sw1_dh1_dw1_p1.json +2 -1
  16. definitions/conv2d_depthwise/conv2d_depthwise_w8a8ch_kh3_kw3_sh2_sw2_dh1_dw1_p1.json +2 -1
  17. definitions/conv2d_depthwise/conv2d_depthwise_w8a8ch_kh5_kw5_sh1_sw1_dh1_dw1_p2.json +2 -1
  18. definitions/conv2d_depthwise/conv2d_depthwise_w8a8ch_kh5_kw5_sh2_sw2_dh1_dw1_p2.json +2 -1
  19. definitions/gemm/gemm_fp32_n1000_k1280.json +2 -1
  20. definitions/gemm/gemm_fp32_n1000_k2048.json +2 -1
  21. definitions/gemm/gemm_fp32_n1024_k2048.json +2 -1
  22. definitions/gemm/gemm_fp32_n1280_k960.json +2 -1
  23. definitions/gemm/gemm_fp32_n1408_k2048.json +2 -1
  24. definitions/gemm/gemm_fp32_n2048_k1024.json +2 -1
  25. definitions/gemm/gemm_fp32_n2048_k1408.json +2 -1
  26. definitions/gemm/gemm_fp32_n2048_k2048.json +2 -1
  27. definitions/gemm/gemm_fp32_n29_k800.json +2 -1
  28. definitions/gemm/gemm_q8_0_n1024_k2048.json +2 -1
  29. definitions/gemm/gemm_q8_0_n1408_k2048.json +2 -1
  30. definitions/gemm/gemm_q8_0_n2048_k1024.json +2 -1
  31. definitions/gemm/gemm_q8_0_n2048_k1408.json +2 -1
  32. definitions/gemm/gemm_q8_0_n2048_k2048.json +2 -1
  33. definitions/gemm/gemm_w8a8ch_n1000_k1280.json +2 -1
  34. definitions/gemm/gemm_w8a8ch_n1000_k2048.json +2 -1
  35. definitions/gemm/gemm_w8a8ch_n1280_k960.json +2 -1
  36. definitions/lstm/lstm_fp32_i322_h800.json +2 -1
  37. definitions/mha/mha_fp32_h16_d128_kvh16.json +2 -1
  38. definitions/moe/moe_fp32_e60_k4_d2048_ff1408.json +2 -1
  39. definitions/moe/moe_fp32_e64_k8_d2048_ff1024.json +2 -1
  40. definitions/moe/moe_q8_0_e60_k4_d2048_ff1408.json +2 -1
  41. definitions/moe/moe_q8_0_e64_k8_d2048_ff1024.json +2 -1
  42. definitions/pooling/pooling_fp32_global_avg.json +2 -1
  43. definitions/pooling/pooling_fp32_max_kh2_kw2_sh2_sw2_p0.json +2 -1
  44. definitions/pooling/pooling_fp32_max_kh3_kw3_sh1_sw1_p1.json +2 -1
  45. definitions/pooling/pooling_fp32_max_kh3_kw3_sh2_sw2_p0.json +2 -1
  46. definitions/pooling/pooling_fp32_max_kh3_kw3_sh2_sw2_p1.json +2 -1
  47. definitions/rms_norm/rms_norm_fp32_d2048.json +2 -1
definitions/conv2d/conv2d_fp32_kh1_kw1_sh1_sw1_dh1_dw1_p0.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 1x1 stride=(1,1) dilation=(1,1) pad=(0,0). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 1x1 stride=(1,1) dilation=(1,1) pad=(0,0). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_fp32_kh1_kw1_sh2_sw2_dh1_dw1_p0.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 1x1 stride=(2,2) dilation=(1,1) pad=(0,0). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 1x1 stride=(2,2) dilation=(1,1) pad=(0,0). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_fp32_kh3_kw3_sh1_sw1_dh1_dw1_p1.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 3x3 stride=(1,1) dilation=(1,1) pad=(1,1). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 3x3 stride=(1,1) dilation=(1,1) pad=(1,1). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_fp32_kh3_kw3_sh2_sw2_dh1_dw1_p1.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 3x3 stride=(2,2) dilation=(1,1) pad=(1,1). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 3x3 stride=(2,2) dilation=(1,1) pad=(1,1). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_fp32_kh7_kw7_sh2_sw2_dh1_dw1_p3.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 7x7 stride=(2,2) dilation=(1,1) pad=(3,3). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 7x7 stride=(2,2) dilation=(1,1) pad=(3,3). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_w8a8ch_kh1_kw1_sh1_sw1_dh1_dw1_p0.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 1x1 stride=(1,1) dilation=(1,1) pad=(0,0). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 1x1 stride=(1,1) dilation=(1,1) pad=(0,0). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_w8a8ch_kh1_kw1_sh2_sw2_dh1_dw1_p0.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 1x1 stride=(2,2) dilation=(1,1) pad=(0,0). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 1x1 stride=(2,2) dilation=(1,1) pad=(0,0). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_w8a8ch_kh3_kw3_sh1_sw1_dh1_dw1_p1.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 3x3 stride=(1,1) dilation=(1,1) pad=(1,1). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 3x3 stride=(1,1) dilation=(1,1) pad=(1,1). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_w8a8ch_kh3_kw3_sh2_sw2_dh1_dw1_p1.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 3x3 stride=(2,2) dilation=(1,1) pad=(1,1). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 3x3 stride=(2,2) dilation=(1,1) pad=(1,1). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d/conv2d_w8a8ch_kh7_kw7_sh2_sw2_dh1_dw1_p3.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "2D conv 7x7 stride=(2,2) dilation=(1,1) pad=(3,3). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "2D conv 7x7 stride=(2,2) dilation=(1,1) pad=(3,3). C_in and C_out vary per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d_depthwise/conv2d_depthwise_fp32_kh3_kw3_sh1_sw1_dh1_dw1_p1.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "Depthwise 2D conv 3x3 stride=(1,1) dilation=(1,1) pad=(1,1). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "Depthwise 2D conv 3x3 stride=(1,1) dilation=(1,1) pad=(1,1). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d_depthwise/conv2d_depthwise_fp32_kh3_kw3_sh2_sw2_dh1_dw1_p1.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "Depthwise 2D conv 3x3 stride=(2,2) dilation=(1,1) pad=(1,1). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "Depthwise 2D conv 3x3 stride=(2,2) dilation=(1,1) pad=(1,1). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d_depthwise/conv2d_depthwise_fp32_kh5_kw5_sh1_sw1_dh1_dw1_p2.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "Depthwise 2D conv 5x5 stride=(1,1) dilation=(1,1) pad=(2,2). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "Depthwise 2D conv 5x5 stride=(1,1) dilation=(1,1) pad=(2,2). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d_depthwise/conv2d_depthwise_fp32_kh5_kw5_sh2_sw2_dh1_dw1_p2.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "Depthwise 2D conv 5x5 stride=(2,2) dilation=(1,1) pad=(2,2). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "Depthwise 2D conv 5x5 stride=(2,2) dilation=(1,1) pad=(2,2). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d_depthwise/conv2d_depthwise_w8a8ch_kh3_kw3_sh1_sw1_dh1_dw1_p1.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "Depthwise 2D conv 3x3 stride=(1,1) dilation=(1,1) pad=(1,1). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "Depthwise 2D conv 3x3 stride=(1,1) dilation=(1,1) pad=(1,1). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d_depthwise/conv2d_depthwise_w8a8ch_kh3_kw3_sh2_sw2_dh1_dw1_p1.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "Depthwise 2D conv 3x3 stride=(2,2) dilation=(1,1) pad=(1,1). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "Depthwise 2D conv 3x3 stride=(2,2) dilation=(1,1) pad=(1,1). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d_depthwise/conv2d_depthwise_w8a8ch_kh5_kw5_sh1_sw1_dh1_dw1_p2.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "Depthwise 2D conv 5x5 stride=(1,1) dilation=(1,1) pad=(2,2). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "Depthwise 2D conv 5x5 stride=(1,1) dilation=(1,1) pad=(2,2). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/conv2d_depthwise/conv2d_depthwise_w8a8ch_kh5_kw5_sh2_sw2_dh1_dw1_p2.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "Depthwise 2D conv 5x5 stride=(2,2) dilation=(1,1) pad=(2,2). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "N": {
 
4
  "description": "Depthwise 2D conv 5x5 stride=(2,2) dilation=(1,1) pad=(2,2). C (=C_in=C_out=groups) varies per workload.",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "N": {
definitions/gemm/gemm_fp32_n1000_k1280.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "fc N=1000 K=1280",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "M": {
 
4
  "description": "fc N=1000 K=1280",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "M": {
definitions/gemm/gemm_fp32_n1000_k2048.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "fc N=1000 K=2048",
5
  "tags": [
6
  "status:active",
7
- "model:resnet50"
 
8
  ],
9
  "axes": {
10
  "M": {
 
4
  "description": "fc N=1000 K=2048",
5
  "tags": [
6
  "status:active",
7
+ "model:resnet50",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "M": {
definitions/gemm/gemm_fp32_n1024_k2048.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "expert ffn N=1024 K=2048",
5
  "tags": [
6
  "status:active",
7
- "model:olmoe-1b-7b"
 
8
  ],
9
  "axes": {
10
  "M": {
 
4
  "description": "expert ffn N=1024 K=2048",
5
  "tags": [
6
  "status:active",
7
+ "model:olmoe-1b-7b",
8
+ "baseline-solution:llama.cpp"
9
  ],
10
  "axes": {
11
  "M": {
definitions/gemm/gemm_fp32_n1280_k960.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "fc N=1280 K=960",
5
  "tags": [
6
  "status:active",
7
- "model:mobilenetv3-large"
 
8
  ],
9
  "axes": {
10
  "M": {
 
4
  "description": "fc N=1280 K=960",
5
  "tags": [
6
  "status:active",
7
+ "model:mobilenetv3-large",
8
+ "baseline-solution:ncnn"
9
  ],
10
  "axes": {
11
  "M": {
definitions/gemm/gemm_fp32_n1408_k2048.json CHANGED
@@ -4,7 +4,8 @@
4
  "description": "expert ffn N=1408 K=2048",
5
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