Mirror sync EfficientNetV2

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 vit_base_patch16_224.om filter=lfs diff=lfs merge=lfs -text
 1700943102148611_eff.png filter=lfs diff=lfs merge=lfs -text
+efficientnetv2.om filter=lfs diff=lfs merge=lfs -text

README.md

@@ -17,9 +17,9 @@ EfficientNetV2是一系列图像分类模型，与现有技术相比，其实现
 ## Mirror Metadata
 
 - Hugging Face repo: shadow-cann/hispark-modelzoo-efficientnetv2
-- Portal model id: hs4fr0150o00
-- Created at: 2025-11-13 21:53:09
-- Updated at: 2025-11-29 14:49:58
+- Portal model id: ko3p9r40j400
+- Created at: 2026-08-26 16:15:43
+- Updated at: 2026-09-01 16:13:06
 - Category: 计算机视觉
 
 ## Framework
@@ -48,15 +48,15 @@ EfficientNetV2是一系列图像分类模型，与现有技术相比，其实现
 
 ## Files In This Repo
 
+- efficientnetv2.om (编译模型 / A8W8; 编译模型 / FP16; 编译模型 / OM 元数据 / A8W8)
 - efficientnetv2.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
 - efficientnetv2_t_agc-3620981a.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
-- vit_base_patch16_224.om (编译模型 / OM 元数据 / f16)
 - SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
 
 ## Upstream Links
 
-- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=hs4fr0150o00
-- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2
+- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=ko3p9r40j400
+- Upstream repository: https://gitcode.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2
 - License reference: https://github.com/huggingface/pytorch-image-models/blob/main/LICENSE
 
 ## Notes

efficientnetv2.om

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4093296af3f2ac2e635fa7d53350d2f6093d31c5b94579e7bb1b99811e1b3147
+size 16091832

model-card.json

@@ -1,6 +1,6 @@
 {
   "name": "EfficientNetV2",
-  "id": "hs4fr0150o00",
+  "id": "ko3p9r40j400",
   "description": "EfficientNetV2是一系列图像分类模型，与现有技术相比，其实现了更好的参数效率和更快的训练速度。基于EfficientNetV1，Efficient NetV2模型使用神经架构搜索（NAS）来联合优化模型大小和训练速度，并以更快的训练和推理速度进行扩展。",
   "category": "计算机视觉",
   "framework": [
@@ -17,27 +17,29 @@
   "tags": [
     "分类"
   ],
-  "repositoryUrl": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
+  "repositoryUrl": "https://gitcode.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
   "licenseUrl": "https://github.com/huggingface/pytorch-image-models/blob/main/LICENSE",
   "downloads": [
     {
-      "fileName": "efficientnetv2.onnx",
+      "fileName": "efficientnetv2.om",
       "variants": [
-        "源模型 / 源模型下载",
-        "源模型 / 源模型元数据"
+        "编译模型 / A8W8",
+        "编译模型 / FP16",
+        "编译模型 / OM 元数据 / A8W8"
       ]
     },
     {
-      "fileName": "efficientnetv2_t_agc-3620981a.pth",
+      "fileName": "efficientnetv2.onnx",
       "variants": [
         "源模型 / 源模型下载",
         "源模型 / 源模型元数据"
       ]
     },
     {
-      "fileName": "vit_base_patch16_224.om",
+      "fileName": "efficientnetv2_t_agc-3620981a.pth",
       "variants": [
-        "编译模型 / OM 元数据 / f16"
+        "源模型 / 源模型下载",
+        "源模型 / 源模型元数据"
       ]
     },
     {
@@ -49,16 +51,16 @@
   ],
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+    "creationDate": "2026-08-26 16:15:43",
     "creationUserCN": "0e900d99dee8461b8",
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-    "lastUpdateDate": "2025-11-29 14:49:58",
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     "lastUpdateUserCN": "0e900d99dee8461b8",
     "rowIdx": -1,
-    "id": "hs4fr0150o00",
+    "id": "ko3p9r40j400",
     "name": "EfficientNetV2",
-    "isBeta": 1,
-    "betaVersionDesc": "Hi3403V100 SVP_NNN引擎上模型性能待进一步优化",
+    "isBeta": 0,
+    "betaVersionDesc": "",
     "description": "EfficientNetV2是一系列图像分类模型，与现有技术相比，其实现了更好的参数效率和更快的训练速度。基于EfficientNetV1，Efficient NetV2模型使用神经架构搜索（NAS）来联合优化模型大小和训练速度，并以更快的训练和推理速度进行扩展。",
     "parentId": "h8ei3b756c00",
     "coverImageId": 1700943102148611,
@@ -74,7 +76,7 @@
     "framework": [
       "PyTorch"
     ],
-    "modelRepository": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
+    "modelRepository": "https://gitcode.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
     "originModel": [
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         "id": "1706935376281603",
@@ -89,7 +91,7 @@
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-    "originModelLink": null,
+    "originModelLink": "",
     "dataSet": "https://image-net.org/",
     "modelLicense": "https://github.com/huggingface/pytorch-image-models/blob/main/LICENSE",
     "detailParams": [
@@ -107,18 +109,18 @@
       }
     ],
     "quickStart": {
-      "url": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
+      "url": "https://gitcode.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
       "markDownUrl": "",
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\\\"fail to parse cfg param\\\";\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"        return -1;\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    }\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    EnvInit(inferParam.aclConfigPath);\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    std::unique_ptr<Model> model = std::make_unique<Model>();\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    if (model->Load(inferParam.omModelPath) != 0) {\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"        LOG(ERROR) << \\\"fail to load model\\\";\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"        return -1;\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    }\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    cfgParam.platformType = model->GetPlatformType();\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    std::any param = cfgParam;\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    EfficientNetProcess processFunc;\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    model->SetProcessFunc(processFunc);\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    auto ret = model->Infer(inferParam.imglistPath, JsonFile, std::ref(param));\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    if (ret.size() == 0) {\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"        LOG(ERROR) << \\\"fail to infer 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model\\\";\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"        EnvDeinit();\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"        return -1;\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    }\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    EnvDeinit();\"},{\"attributes\":{\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"    return 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         }
       ]
     },
     "status": "released",
     "currentHandler": "",
-    "currentHandlerName": null,
+    "currentHandlerName": "",
     "jsonPath": "https://gitee.com/HiSpark/modelzoo-dev/blob/master/samples/built-in/classification/EfficientNetV2/EfficientNetV2.json",
     "modelAdaptor": [
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@@ -131,10 +133,10 @@
         "rowIdx": -1,
         "id": "i8ttm5k1tc00",
         "name": "Hi3403V100 SVP_NNN",
-        "modelId": "hs4fr0150o00",
+        "modelId": "ko3p9r40j400",
         "modelName": "EfficientNetV2",
         "supportNames": [
-          "a8w8"
+          "A8W8"
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         "toolkit": [
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@@ -151,7 +153,7 @@
           },
           {
             "name": "SDK",
-            "url": "https://gitee.com/HiSpark/ss928v100_clang/tree/Beta-v0.9.1/ ",
+            "url": "https://gitee.com/HiSpark/ss928v100_clang/tree/Beta-v0.9.1/",
             "desc": "稳定、易用的设计；支撑客户快速产品量产",
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@@ -162,15 +164,15 @@
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-            "lastUpdateDate": "2026-03-26 20:28:49",
-            "lastUpdateUserCN": "liaoshibin",
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+            "creationDate": "2026-08-27 20:52:57",
+            "creationUserCN": "0e900d99dee8461b8",
+            "lastUpdatedBy": 137441035408492,
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-            "name": "a8w8",
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@@ -187,8 +189,8 @@
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             "releaseTime": "2025-11-18",
-            "boardOs": null,
-            "modelLicense": "https://gitee.com/HiSpark/modelzoo-dev/tree/master/samples/built-in/classification/EfficientNetV2/LICENSE",
+            "boardOs": "OpenHarmony",
+            "modelLicense": "https://gitcode.com/HiSpark/modelzoo-dev/tree/master/samples/built-in/classification/EfficientNetV2/LICENSE",
             "modelPerformance": [
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@@ -226,10 +228,10 @@
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         "name": "Hi3403V100 NNN",
-        "modelId": "hs4fr0150o00",
+        "modelId": "ko3p9r40j400",
         "modelName": "EfficientNetV2",
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-          "f16"
+          "FP16"
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@@ -238,12 +240,6 @@
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-            "name": "编译工具链",
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-            "desc": "aarch64-mix210-linux-gcc；(请联系FAE获取)",
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-            "omOfflineModelSize": "176647820",
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@@ -324,7 +320,7 @@
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