Publish approved Variant MXQ

README.md

@@ -9,11 +9,11 @@ base_model_relation: quantized
 
 # EfficientNet_B4_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/EfficientNet_B4_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/EfficientNet_B4_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 0.82396, top5_accuracy 0.95996. Only the evaluated core mode was measured.
+It was evaluated with qbruntime 1.5.0 in `async` inference mode on imagenet (50000 samples): top1_accuracy 0.82386, top5_accuracy 0.95972. Only the evaluated core mode was measured.
 
-SHA-256: `82fbca1946a3094089ebbe5df58bb515a43a52a1e83a4dae988ae698df127c45` (25645905 bytes). Verify a download with `sha256sum <file>.mxq` and compare the digest with this value and with `aries-rb/metadata.json`.
+SHA-256: `c54435e3c975041aa69c17ace9a224cfe553b9114b29ecaf9b24a06451621a30` (28819691 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.
@@ -28,39 +28,45 @@ 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": {
     "dataset": "imagenet",
     "sample_count": 50000,
     "primary": {
-      "top1_accuracy": 0.82396
+      "top1_accuracy": 0.82386
     },
     "secondary": {
-      "top5_accuracy": 0.95996
+      "top5_accuracy": 0.95972
     },
     "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"
   },
   "retention_percent": {
-    "top1_accuracy": 98.8032712185529
+    "top1_accuracy": 98.79127994819771
   },
   "content_sha256": "494121102737bb1ab832fa6bb5d75a95bbc89ee99f5f157d5c7b66ea793940c3",
-  "attempt_id": "srcmodes8-efficientnet-b4-imagenet1k-v1-20261009t164855",
+  "attempt_id": "EfficientNet_B4_IMAGENET1K_V1-jinman-coreall-d74f677c1a03",
   "superseded_attempt_ids": [],
-  "sha256": "82fbca1946a3094089ebbe5df58bb515a43a52a1e83a4dae988ae698df127c45",
+  "sha256": "c54435e3c975041aa69c17ace9a224cfe553b9114b29ecaf9b24a06451621a30",
   "format": "MXQv7",
   "supported_modes": [
-    "single"
+    "single",
+    "multi",
+    "global4",
+    "global8"
   ],
-  "size": 25645905,
+  "size": 28819691,
   "ops_commits": {
-    "selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
+    "selection": "6cc61b6c4600f8afef654f68ee851d2b65ebac1e"
   },
   "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_B4_IMAGENET1K_V1",
   "publication": {

aries-rb/efficientnet_b4_IMAGENET1K_V1.mxq

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:82fbca1946a3094089ebbe5df58bb515a43a52a1e83a4dae988ae698df127c45
-size 25645905
+oid sha256:c54435e3c975041aa69c17ace9a224cfe553b9114b29ecaf9b24a06451621a30
+size 28819691

aries-rb/metadata.json

@@ -7,39 +7,45 @@
   "compile": {
     "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
     "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
-    "inference_scheme": "single",
+    "inference_scheme": "all",
     "device": "gpu"
   },
   "evaluation": {
     "dataset": "imagenet",
     "sample_count": 50000,
     "primary": {
-      "top1_accuracy": 0.82396
+      "top1_accuracy": 0.82386
     },
     "secondary": {
-      "top5_accuracy": 0.95996
+      "top5_accuracy": 0.95972
     },
     "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"
   },
   "retention_percent": {
-    "top1_accuracy": 98.8032712185529
+    "top1_accuracy": 98.79127994819771
   },
   "content_sha256": "494121102737bb1ab832fa6bb5d75a95bbc89ee99f5f157d5c7b66ea793940c3",
-  "attempt_id": "srcmodes8-efficientnet-b4-imagenet1k-v1-20261009t164855",
+  "attempt_id": "EfficientNet_B4_IMAGENET1K_V1-jinman-coreall-d74f677c1a03",
   "superseded_attempt_ids": [],
-  "sha256": "82fbca1946a3094089ebbe5df58bb515a43a52a1e83a4dae988ae698df127c45",
+  "sha256": "c54435e3c975041aa69c17ace9a224cfe553b9114b29ecaf9b24a06451621a30",
   "format": "MXQv7",
   "supported_modes": [
-    "single"
+    "single",
+    "multi",
+    "global4",
+    "global8"
   ],
-  "size": 25645905,
+  "size": 28819691,
   "ops_commits": {
-    "selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
+    "selection": "6cc61b6c4600f8afef654f68ee851d2b65ebac1e"
   },
   "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_B4_IMAGENET1K_V1",
   "publication": {