Commit ·
b268a80
1
Parent(s): f7eff56
QNN: DeepLabV3-ResNet50 a16w8, one context binary per Hexagon version
Browse files
qnn/config.json
CHANGED
|
@@ -167,6 +167,166 @@
|
|
| 167 |
]
|
| 168 |
}
|
| 169 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 170 |
}
|
| 171 |
]
|
| 172 |
}
|
|
|
|
| 167 |
]
|
| 168 |
}
|
| 169 |
}
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"file": "deeplab_v3_resnet50_qnn_a16w8_v69.pte",
|
| 173 |
+
"precision": "a16w8",
|
| 174 |
+
"quantized": true,
|
| 175 |
+
"default": false,
|
| 176 |
+
"size": "resnet50",
|
| 177 |
+
"methods": {
|
| 178 |
+
"forward": {
|
| 179 |
+
"inputs": [
|
| 180 |
+
{
|
| 181 |
+
"shape": [
|
| 182 |
+
1,
|
| 183 |
+
3,
|
| 184 |
+
520,
|
| 185 |
+
520
|
| 186 |
+
],
|
| 187 |
+
"dtype": "float32"
|
| 188 |
+
}
|
| 189 |
+
],
|
| 190 |
+
"outputs": [
|
| 191 |
+
{
|
| 192 |
+
"shape": [
|
| 193 |
+
1,
|
| 194 |
+
520,
|
| 195 |
+
520
|
| 196 |
+
],
|
| 197 |
+
"dtype": "int32"
|
| 198 |
+
}
|
| 199 |
+
]
|
| 200 |
+
}
|
| 201 |
+
}
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"file": "deeplab_v3_resnet50_qnn_a16w8_v73.pte",
|
| 205 |
+
"precision": "a16w8",
|
| 206 |
+
"quantized": true,
|
| 207 |
+
"default": false,
|
| 208 |
+
"size": "resnet50",
|
| 209 |
+
"methods": {
|
| 210 |
+
"forward": {
|
| 211 |
+
"inputs": [
|
| 212 |
+
{
|
| 213 |
+
"shape": [
|
| 214 |
+
1,
|
| 215 |
+
3,
|
| 216 |
+
520,
|
| 217 |
+
520
|
| 218 |
+
],
|
| 219 |
+
"dtype": "float32"
|
| 220 |
+
}
|
| 221 |
+
],
|
| 222 |
+
"outputs": [
|
| 223 |
+
{
|
| 224 |
+
"shape": [
|
| 225 |
+
1,
|
| 226 |
+
520,
|
| 227 |
+
520
|
| 228 |
+
],
|
| 229 |
+
"dtype": "int32"
|
| 230 |
+
}
|
| 231 |
+
]
|
| 232 |
+
}
|
| 233 |
+
}
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"file": "deeplab_v3_resnet50_qnn_a16w8_v75.pte",
|
| 237 |
+
"precision": "a16w8",
|
| 238 |
+
"quantized": true,
|
| 239 |
+
"default": false,
|
| 240 |
+
"size": "resnet50",
|
| 241 |
+
"methods": {
|
| 242 |
+
"forward": {
|
| 243 |
+
"inputs": [
|
| 244 |
+
{
|
| 245 |
+
"shape": [
|
| 246 |
+
1,
|
| 247 |
+
3,
|
| 248 |
+
520,
|
| 249 |
+
520
|
| 250 |
+
],
|
| 251 |
+
"dtype": "float32"
|
| 252 |
+
}
|
| 253 |
+
],
|
| 254 |
+
"outputs": [
|
| 255 |
+
{
|
| 256 |
+
"shape": [
|
| 257 |
+
1,
|
| 258 |
+
520,
|
| 259 |
+
520
|
| 260 |
+
],
|
| 261 |
+
"dtype": "int32"
|
| 262 |
+
}
|
| 263 |
+
]
|
| 264 |
+
}
|
| 265 |
+
}
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"file": "deeplab_v3_resnet50_qnn_a16w8_v79.pte",
|
| 269 |
+
"precision": "a16w8",
|
| 270 |
+
"quantized": true,
|
| 271 |
+
"default": false,
|
| 272 |
+
"size": "resnet50",
|
| 273 |
+
"methods": {
|
| 274 |
+
"forward": {
|
| 275 |
+
"inputs": [
|
| 276 |
+
{
|
| 277 |
+
"shape": [
|
| 278 |
+
1,
|
| 279 |
+
3,
|
| 280 |
+
520,
|
| 281 |
+
520
|
| 282 |
+
],
|
| 283 |
+
"dtype": "float32"
|
| 284 |
+
}
|
| 285 |
+
],
|
| 286 |
+
"outputs": [
|
| 287 |
+
{
|
| 288 |
+
"shape": [
|
| 289 |
+
1,
|
| 290 |
+
520,
|
| 291 |
+
520
|
| 292 |
+
],
|
| 293 |
+
"dtype": "int32"
|
| 294 |
+
}
|
| 295 |
+
]
|
| 296 |
+
}
|
| 297 |
+
}
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"file": "deeplab_v3_resnet50_qnn_a16w8_v81.pte",
|
| 301 |
+
"precision": "a16w8",
|
| 302 |
+
"quantized": true,
|
| 303 |
+
"default": false,
|
| 304 |
+
"size": "resnet50",
|
| 305 |
+
"methods": {
|
| 306 |
+
"forward": {
|
| 307 |
+
"inputs": [
|
| 308 |
+
{
|
| 309 |
+
"shape": [
|
| 310 |
+
1,
|
| 311 |
+
3,
|
| 312 |
+
520,
|
| 313 |
+
520
|
| 314 |
+
],
|
| 315 |
+
"dtype": "float32"
|
| 316 |
+
}
|
| 317 |
+
],
|
| 318 |
+
"outputs": [
|
| 319 |
+
{
|
| 320 |
+
"shape": [
|
| 321 |
+
1,
|
| 322 |
+
520,
|
| 323 |
+
520
|
| 324 |
+
],
|
| 325 |
+
"dtype": "int32"
|
| 326 |
+
}
|
| 327 |
+
]
|
| 328 |
+
}
|
| 329 |
+
}
|
| 330 |
}
|
| 331 |
]
|
| 332 |
}
|
qnn/deeplab_v3_resnet50_qnn_a16w8_v69.pte
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9944dadcdc1e92de8f176f58dd9efd10b2427ebe264164c2dc2ea48c8beeeff
|
| 3 |
+
size 42100224
|
qnn/deeplab_v3_resnet50_qnn_a16w8_v73.pte
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a4f8f78a99a7b68ba893658122127f103a3bfc21ba29e53df61eb86d750110e
|
| 3 |
+
size 42190336
|
qnn/deeplab_v3_resnet50_qnn_a16w8_v75.pte
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81c3e9891ddb55a7aaf2fe4b95861562743dc93cd358f14467717228b015e466
|
| 3 |
+
size 42079744
|
qnn/deeplab_v3_resnet50_qnn_a16w8_v79.pte
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f8fa65e8926c08c300f33c9513471a3cf6c1a665f809c92c6774b07c344af4ae
|
| 3 |
+
size 42284544
|
qnn/deeplab_v3_resnet50_qnn_a16w8_v81.pte
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2040e7db8ce90667a67094c00f70bd3925ef9676a5c9023bf97f071048498dd1
|
| 3 |
+
size 42595840
|