Publish approved Variant MXQ

README.md

@@ -9,11 +9,11 @@ tags:
 
 # AlexNet_IMAGENET1K_V1
 
-`aries-rb/` holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/AlexNet_IMAGENET1K_V1). It was compiled by qbcompiler 1.4.0 in the image `mobilint/qbcompiler:1.4-cuda12.8.1-ubuntu22.04` (sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44) with `--inference-scheme single`, so it supports the core mode(s) `single` only.
+`aries-rb/` holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/AlexNet_IMAGENET1K_V1). It was compiled by qbcompiler 1.4.0 in the image `mobilint/qbcompiler:1.4-cuda12.8.1-ubuntu22.04` (sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44) with `--inference-scheme all`, so it supports the core mode(s) `single`, `multi`, `global4`, `global8` only.
 
 It was evaluated with qbruntime 1.5.0 in `async` inference mode on imagenet (50000 samples): top1_accuracy 0.56216, top5_accuracy 0.79048. Only the evaluated core mode was measured.
 
-SHA-256: `97e8f4b1516675c13cd738bdfc612769a2554cff5cb90115cdd5b6ddb9e08657` (61386633 bytes). Verify a download with `sha256sum <file>.mxq` and compare the digest with this value and with `aries-rb/metadata.json`.
+SHA-256: `7ebba46a0902c58bcd8e04746a8b5b3d6ead6f7e984b0a062c757836cbd5bd1a` (61517249 bytes). Verify a download with `sha256sum <file>.mxq` and compare the digest with this value and with `aries-rb/metadata.json`.
 
 aries-rb/best_result.json contains legacy build values and is retained for mblt-vision-python compile defaults.
 The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an older revision.
@@ -28,7 +28,7 @@ The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an olde
   "compile": {
     "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
     "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
-    "inference_scheme": "single",
+    "inference_scheme": "all",
     "device": "gpu"
   },
   "evaluation": {
@@ -41,8 +41,11 @@ The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an olde
       "top5_accuracy": 0.79048
     },
     "protocol": null,
-    "eval_data_identity": null,
-    "identity_audit": "absent",
+    "eval_data_identity": {
+      "annotation_sha256": "f00550c10ff1d4110abc683786b6cc09d5082dadd3cee1568f5cfa1dad962960",
+      "sample_list_sha256": "54446819dced83110352e5a0361ff05b19c331c5a9802dcb0222e6d1e44a0547"
+    },
+    "identity_audit": "verified",
     "inference_mode": "async",
     "image_tag": "1.4-cpu-ubuntu22.04",
     "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
@@ -51,16 +54,19 @@ The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an olde
     "top1_accuracy": 99.40937223695843
   },
   "content_sha256": "9755257bdda55cfd3a9f8cd28416a767e41ab1a16096e03b0d78b40c8a9b6b67",
-  "attempt_id": "AlexNet_IMAGENET1K_V1-jinman-20261017t095642-49e62",
+  "attempt_id": "AlexNet_IMAGENET1K_V1-jinman-coreall-513ca25dceae",
   "superseded_attempt_ids": [],
-  "sha256": "97e8f4b1516675c13cd738bdfc612769a2554cff5cb90115cdd5b6ddb9e08657",
+  "sha256": "7ebba46a0902c58bcd8e04746a8b5b3d6ead6f7e984b0a062c757836cbd5bd1a",
   "format": "MXQv7",
   "supported_modes": [
-    "single"
+    "single",
+    "multi",
+    "global4",
+    "global8"
   ],
-  "size": 61386633,
+  "size": 61517249,
   "ops_commits": {
-    "selection": "9c9a469c2a5f34dd9650f972b289e1bfdf438c27"
+    "selection": "417dd6508f5a1f5fce40ca68dbdf1cd0e9e2ccf5"
   },
   "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/AlexNet_IMAGENET1K_V1",
   "publication": {

aries-rb/alexnet_IMAGENET1K_V1.mxq

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:97e8f4b1516675c13cd738bdfc612769a2554cff5cb90115cdd5b6ddb9e08657
-size 61386633
+oid sha256:7ebba46a0902c58bcd8e04746a8b5b3d6ead6f7e984b0a062c757836cbd5bd1a
+size 61517249

aries-rb/metadata.json

@@ -7,7 +7,7 @@
   "compile": {
     "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
     "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
-    "inference_scheme": "single",
+    "inference_scheme": "all",
     "device": "gpu"
   },
   "evaluation": {
@@ -20,8 +20,11 @@
       "top5_accuracy": 0.79048
     },
     "protocol": null,
-    "eval_data_identity": null,
-    "identity_audit": "absent",
+    "eval_data_identity": {
+      "annotation_sha256": "f00550c10ff1d4110abc683786b6cc09d5082dadd3cee1568f5cfa1dad962960",
+      "sample_list_sha256": "54446819dced83110352e5a0361ff05b19c331c5a9802dcb0222e6d1e44a0547"
+    },
+    "identity_audit": "verified",
     "inference_mode": "async",
     "image_tag": "1.4-cpu-ubuntu22.04",
     "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
@@ -30,16 +33,19 @@
     "top1_accuracy": 99.40937223695843
   },
   "content_sha256": "9755257bdda55cfd3a9f8cd28416a767e41ab1a16096e03b0d78b40c8a9b6b67",
-  "attempt_id": "AlexNet_IMAGENET1K_V1-jinman-20261017t095642-49e62",
+  "attempt_id": "AlexNet_IMAGENET1K_V1-jinman-coreall-513ca25dceae",
   "superseded_attempt_ids": [],
-  "sha256": "97e8f4b1516675c13cd738bdfc612769a2554cff5cb90115cdd5b6ddb9e08657",
+  "sha256": "7ebba46a0902c58bcd8e04746a8b5b3d6ead6f7e984b0a062c757836cbd5bd1a",
   "format": "MXQv7",
   "supported_modes": [
-    "single"
+    "single",
+    "multi",
+    "global4",
+    "global8"
   ],
-  "size": 61386633,
+  "size": 61517249,
   "ops_commits": {
-    "selection": "9c9a469c2a5f34dd9650f972b289e1bfdf438c27"
+    "selection": "417dd6508f5a1f5fce40ca68dbdf1cd0e9e2ccf5"
   },
   "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/AlexNet_IMAGENET1K_V1",
   "publication": {