Publish approved Variant MXQ

README.md

@@ -9,11 +9,11 @@ base_model_relation: quantized
 
 # EfficientNet_B2_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_B2_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_B2_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 0.79802, top5_accuracy 0.95036. 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 0.799, top5_accuracy 0.95074. Only the evaluated core mode was measured.
 
-SHA-256: `dcac5b8a95c9897d32dbf4478259343b131c3ab7312f751e14488c89a33ee265` (12513828 bytes). Verify a download with `sha256sum <file>.mxq` and compare the digest with this value and with `aries-rb/metadata.json`.
+SHA-256: `8bb340723aaad83c0078c89514690f61059039c3ec494eabaa8c02bd328e4fed` (13727311 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": 0.79802
+      "top1_accuracy": 0.799
     },
     "secondary": {
-      "top5_accuracy": 0.95036
+      "top5_accuracy": 0.95074
     },
     "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": 99.00009924573241
+    "top1_accuracy": 99.12167526796348
   },
   "content_sha256": "9bf7a06c3a018b885156ef143382e5bd5caab608b2e74534bee369c17ebbd5df",
-  "attempt_id": "srcmodes4r1-efficientnet-b2-imagenet1k-v1-20261008t195001",
+  "attempt_id": "EfficientNet_B2_IMAGENET1K_V1-jinman-coreall-1f8eba41f140",
   "superseded_attempt_ids": [],
-  "sha256": "dcac5b8a95c9897d32dbf4478259343b131c3ab7312f751e14488c89a33ee265",
+  "sha256": "8bb340723aaad83c0078c89514690f61059039c3ec494eabaa8c02bd328e4fed",
   "format": "MXQv7",
   "supported_modes": [
-    "single"
+    "single",
+    "multi",
+    "global4",
+    "global8"
   ],
-  "size": 12513828,
+  "size": 13727311,
   "ops_commits": {
-    "selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
+    "selection": "e4ebfab8ceddb0367c03deaec499e421df31c5d2"
   },
   "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_B2_IMAGENET1K_V1",
   "publication": {

aries-rb/efficientnet_b2_IMAGENET1K_V1.mxq

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dcac5b8a95c9897d32dbf4478259343b131c3ab7312f751e14488c89a33ee265
-size 12513828
+oid sha256:8bb340723aaad83c0078c89514690f61059039c3ec494eabaa8c02bd328e4fed
+size 13727311

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": 0.79802
+      "top1_accuracy": 0.799
     },
     "secondary": {
-      "top5_accuracy": 0.95036
+      "top5_accuracy": 0.95074
     },
     "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": 99.00009924573241
+    "top1_accuracy": 99.12167526796348
   },
   "content_sha256": "9bf7a06c3a018b885156ef143382e5bd5caab608b2e74534bee369c17ebbd5df",
-  "attempt_id": "srcmodes4r1-efficientnet-b2-imagenet1k-v1-20261008t195001",
+  "attempt_id": "EfficientNet_B2_IMAGENET1K_V1-jinman-coreall-1f8eba41f140",
   "superseded_attempt_ids": [],
-  "sha256": "dcac5b8a95c9897d32dbf4478259343b131c3ab7312f751e14488c89a33ee265",
+  "sha256": "8bb340723aaad83c0078c89514690f61059039c3ec494eabaa8c02bd328e4fed",
   "format": "MXQv7",
   "supported_modes": [
-    "single"
+    "single",
+    "multi",
+    "global4",
+    "global8"
   ],
-  "size": 12513828,
+  "size": 13727311,
   "ops_commits": {
-    "selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
+    "selection": "e4ebfab8ceddb0367c03deaec499e421df31c5d2"
   },
   "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_B2_IMAGENET1K_V1",
   "publication": {