File size: 11,189 Bytes
0af9165 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 | {
"op": "ai.onnx.InstanceNormalization",
"cases": [
{
"name": "nchw_4x64x128x128",
"preset": "smoke",
"vars": { "dtype": "float32", "batch": 4, "channels": 64, "spatial": 16384 },
"inputs": {
"input": { "dtype": "float32", "shape": [4, 64, 128, 128], "dist": "normal", "seed": 750, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [64], "dist": "uniform", "seed": 751, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [64], "dist": "normal", "seed": 752, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [4, 64, 128, 128] } },
"bench": {
"primary": true,
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "nchw_f16_4x64x128x128",
"preset": "smoke",
"vars": { "dtype": "float16", "batch": 4, "channels": 64, "spatial": 16384 },
"inputs": {
"input": { "dtype": "float16", "shape": [4, 64, 128, 128], "dist": "normal", "seed": 750, "scale": 0.5 },
"scale": { "dtype": "float16", "shape": [64], "dist": "uniform", "seed": 751, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float16", "shape": [64], "dist": "normal", "seed": 752, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float16", "shape": [4, 64, 128, 128] } },
"bench": {
"primary": true,
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "nchw_1x64x56x56",
"preset": "smoke",
"inputs": {
"input": { "dtype": "float32", "shape": [1, 64, 56, 56] },
"scale": { "dtype": "float32", "shape": [64] },
"b": { "dtype": "float32", "shape": [64] }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 64, 56, 56] } }
},
{
"name": "alignment_cliff_rank3_2x64x4095_unaligned",
"preset": "smoke",
"vars": { "dtype": "float32", "batch": 2, "channels": 64, "spatial": 4095 },
"inputs": {
"input": { "dtype": "float32", "shape": [2, 64, 4095], "dist": "normal", "seed": 810, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [64], "dist": "uniform", "seed": 811, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [64], "dist": "normal", "seed": 812, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [2, 64, 4095] } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "alignment_healthy_rank3_2x64x4096_aligned",
"preset": "smoke",
"vars": { "dtype": "float32", "batch": 2, "channels": 64, "spatial": 4096 },
"inputs": {
"input": { "dtype": "float32", "shape": [2, 64, 4096], "dist": "normal", "seed": 810, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [64], "dist": "uniform", "seed": 811, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [64], "dist": "normal", "seed": 812, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [2, 64, 4096] } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "dispatch_cliff_rows70000_yfold",
"preset": "smoke",
"vars": { "dtype": "float32", "batch": 1, "channels": 70000, "spatial": 64 },
"inputs": {
"input": { "dtype": "float32", "shape": [1, 70000, 64], "dist": "normal", "seed": 820, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [70000], "dist": "uniform", "seed": 821, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [70000], "dist": "normal", "seed": 822, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 70000, 64] } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "dispatch_healthy_rows60000_under_cap",
"preset": "smoke",
"vars": { "dtype": "float32", "batch": 1, "channels": 60000, "spatial": 64 },
"inputs": {
"input": { "dtype": "float32", "shape": [1, 60000, 64], "dist": "normal", "seed": 820, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [60000], "dist": "uniform", "seed": 821, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [60000], "dist": "normal", "seed": 822, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 60000, 64] } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "single_huge_instance_1x1x4194304_onewg",
"preset": "smoke",
"vars": { "dtype": "float32", "batch": 1, "channels": 1, "spatial": 4194304 },
"inputs": {
"input": { "dtype": "float32", "shape": [1, 1, 4194304], "dist": "normal", "seed": 830, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [1], "dist": "uniform", "seed": 831, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [1], "dist": "normal", "seed": 832, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 1, 4194304] } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "onewg_per_plane_tiny_spatial_launchbound_1x65280x3x1",
"preset": "stress",
"vars": { "dtype": "float32", "batch": 1, "channels": 65280, "spatial": 3 },
"attrs": { "epsilon": 0.00001 },
"inputs": {
"input": { "dtype": "float32", "shape": [1, 65280, 3, 1], "dist": "normal", "seed": 901, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [65280], "dist": "uniform", "seed": 902, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [65280], "dist": "normal", "seed": 903, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 65280, 3, 1] } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "onewg_per_plane_tiny_spatial_launchbound_rank3_1x49152x6",
"preset": "stress",
"vars": { "dtype": "float32", "batch": 1, "channels": 49152, "spatial": 6 },
"attrs": { "epsilon": 0.00001 },
"inputs": {
"input": { "dtype": "float32", "shape": [1, 49152, 6], "dist": "normal", "seed": 911, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [49152], "dist": "uniform", "seed": 912, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [49152], "dist": "normal", "seed": 913, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 49152, 6] } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "rank7_spatial_flatten_gpu_gap",
"vars": { "dtype": "float32", "batch": 1, "channels": 2, "spatial": 32 },
"attrs": { "epsilon": 0.00001 },
"inputs": {
"input": { "dtype": "float32", "shape": [1, 2, 2, 2, 2, 2, 2], "dist": "normal", "seed": 931, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [2], "dist": "uniform", "seed": 932, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [2], "dist": "normal", "seed": 933, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 2, 2, 2, 2, 2, 2] } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "splitk-priority-cliff-c256-256x256",
"preset": "stress",
"provenance": {
"source": "authored for variant coverage",
"notes": "Realistic 16.8M-element feature map that pins the selector boundary between plane_subgroup_vec4 and plane_splitk."
},
"vars": { "dtype": "float32", "batch": 1, "channels": 256, "spatial": 65536 },
"attrs": { "epsilon": 0.00001 },
"inputs": {
"input": { "dtype": "float32", "shape": [1, 256, 256, 256], "dist": "normal", "seed": 991, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [256], "dist": "uniform", "seed": 992, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [256], "dist": "normal", "seed": 993, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 256, 256, 256], "dist": "empty" } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
},
{
"name": "splitk-priority-cliff-c32-512x512",
"preset": "stress",
"provenance": {
"source": "authored for variant coverage",
"notes": "Realistic 8.4M-element high-resolution feature map that pins the selector boundary between plane_subgroup_vec4 and plane_splitk."
},
"vars": { "dtype": "float32", "batch": 1, "channels": 32, "spatial": 262144 },
"attrs": { "epsilon": 0.00001 },
"inputs": {
"input": { "dtype": "float32", "shape": [1, 32, 512, 512], "dist": "normal", "seed": 994, "scale": 0.5 },
"scale": { "dtype": "float32", "shape": [32], "dist": "uniform", "seed": 995, "scale": 0.25, "offset": 1 },
"b": { "dtype": "float32", "shape": [32], "dist": "normal", "seed": 996, "scale": 0.1 }
},
"outputs": { "output": { "dtype": "float32", "shape": [1, 32, 512, 512], "dist": "empty" } },
"bench": {
"metrics": [
{
"type": "bandwidth",
"value": "(args.batch * args.channels * args.spatial * 2 + args.channels * 2) * dtypeBytes(args.dtype)"
}
]
}
}
]
}
|