{"release":{"tag":{"name":"25.12","path":"/deep-spark/deepsparkinference/tags/25.12","tree_path":"/deep-spark/deepsparkinference/tree/25.12","message":"25.12 Release","commit":{"id":"6b8ebab762d437665369729b1ad885e3cdd224f7","short_id":"6b8ebab","title":"update RELEASE.md.","title_markdown":"update RELEASE.md.","description":"\nSigned-off-by: majorli6 \u003Cmingjiang.li@iluvatar.com\u003E","description_markdown":"Signed-off-by: majorli6 \u003Ca href=\"mailto:mingjiang.li@iluvatar.com\"\u003Emingjiang.li@iluvatar.com\u003C/a\u003E","message":"update RELEASE.md.\n\nSigned-off-by: majorli6 \u003Cmingjiang.li@iluvatar.com\u003E","message_markdown":"update RELEASE.md.\nSigned-off-by: majorli6 \u003Ca href=\"mailto:mingjiang.li@iluvatar.com\"\u003Emingjiang.li@iluvatar.com\u003C/a\u003E","detail_path":"/deep-spark/deepsparkinference/commit/6b8ebab762d437665369729b1ad885e3cdd224f7","commits_path":"/deep-spark/deepsparkinference/commits/6b8ebab762d437665369729b1ad885e3cdd224f7","tree_path":"/deep-spark/deepsparkinference/tree/6b8ebab762d437665369729b1ad885e3cdd224f7","author":{"name":"majorli6","email":"mingjiang.li@iluvatar.com","username":"majorli6","user_path":"/majorli6","enterprise_user_path":null,"image_path":"https://foruda.gitee.com/avatar/1667877610594505300/11700637_majorli6_1667877610.png!avatar30","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"committer":{"name":"Gitee GPG Bot","email":"noreply@gitee.com","username":"gitee-bot","user_path":"/gitee-bot","enterprise_user_path":null,"image_path":"https://foruda.gitee.com/avatar/1677201213385506226/10186697_gitee-bot_1639518846.png!avatar30","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"authored_date":"2025-12-23T10:12:38+00:00","committed_date":"2025-12-23T10:12:38+00:00","signature":null,"build_state":null},"archive_path":"/deep-spark/deepsparkinference/repository/archive/25.12","signature":null},"operating":{"edit":false,"download":true,"destroy":false,"enterprise_forbid_zip":false},"release":{"title":"DeepSparkInference 25.12 Release","path":"/deep-spark/deepsparkinference/releases/tag/25.12","tag_path":"/deep-spark/deepsparkinference/tree/25.12","project_id":33771133,"created_at":"2025-12-25T10:53:19+08:00","is_prerelease":false,"description":"### DeepSparkInference 25.12\r\n\r\n#### 模型与算法\r\n\r\n* 新增了 15 个推理小模型示例，其中支持 IGIE 推理引擎的 9 个，支持 ixRT 推理引擎的 6 个。\r\n* 新增了 8 个大语言模型推理示例，其中 7 个使用 [vLLM](https://github.com/vllm-project/vllm)，1 个使用 Diffusers。\r\n\r\n\u003Ctable\u003E\r\n  \u003Cth colspan=3\u003EixRT\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EDeepSort\u003C/td\u003E\r\n      \u003Ctd\u003EFastReID\u003C/td\u003E\r\n      \u003Ctd\u003ETransformer\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EYOLOF \u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv12\u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv13\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Cth colspan=3\u003EIGIE\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EEfficientNet-B7\u003C/td\u003E\r\n      \u003Ctd\u003EFreeAnchor\u003C/td\u003E\r\n      \u003Ctd\u003ERegNet_X_800MF \u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003ERegNet_X_8GF\u003C/td\u003E\r\n      \u003Ctd\u003EPISA\u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv8-N \u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EYOLOv9\u003C/td\u003E\r\n    \u003Ctd\u003EYOLOv10\u003C/td\u003E\r\n    \u003Ctd\u003EYOLOv11\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Cth colspan=3\u003ELLM\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003ENVLM-D (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EPaliGemma (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EPhi-3 Vision (vLLM)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EPixtral (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EQwen3Moe (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EStable Diffusion 3 (Diffusers)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EStep3-VL (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EXLM-RoBERTa (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003E\u003C/td\u003E\r\n\u003C/table\u003E\r\n\r\n#### 修复更新\r\n\r\n* 新增了对模型推理的 batchsize 参数配置的支持，并在 CI 中添加相应测试 (#ID8SDF, #IDBGCP)\r\n* 新增了 vLLM 推理模型的 benchmark 脚本支持 (#ID8TTL)\r\n* 优化了 21 个推理小模型的 README 指导文档说明 (#IDBBZV)\r\n* 更新了 Conformer IGIE 和 BERT Large SQuAD ixRT 模型失效的链接 (#ID8KFK, #ID9RDW)\r\n* 修复了 CosyVoice2-0.5B 模型推理报错的问题 (#ID5Y84)\r\n* 修复了 Fuyu-8B 模型推理报错的问题 (#ID5Y8O)\r\n* 修复了 YOLOv8 ixRT 模型推理日志中的警告打印问题 (#IDC1OI)\r\n* 修复了 Conformer 模型解读异常问题 (#ID9RDQ)\r\n* 修复了 EfficientNet-B1 和 YOLOv4 模型 int8 推理精度异常的问题 (#ID912Z)\r\n* 修复了 ResNetV1d-50 和 RetinaFace ixRT 模型推理报错的问题 (#ID931D, #ID94XO)\r\n* 修复了 YOLO 系列模型在在 PyTorch 2.7 环境导出 ONNX 时的兼容报错问题 (#ID95LK)\r\n* 修复了 8 个推理小模型在 CI 上运行报错的问题 (#ID9DH4)\r\n* 修复了 YOLOv4 ixRT 模型量化 ONNX 报错的问题 (#IDA3BX)\r\n* 修复了 YOLOv10 ixRT 模型 dynamic shape 的问题（#IDAOW0）\r\n\r\n#### 版本关联\r\n\r\nDeepSparkInference 25.12 对应天数软件栈 4.3.0 版本。\r\n\r\n#### 感谢以下社区贡献者\r\n\r\nYoungPeng，anders，fhfang，郭寒冰，qiang.zhang，majorli6，honglyua。","author":{"name":"majorli6","username":"majorli6","path":"/majorli6","avatar_url":"https://foruda.gitee.com/avatar/1667877610594505300/11700637_majorli6_1667877610.png!avatar30"},"attach_files":[],"zip_download_url":"/deep-spark/deepsparkinference/releases/tag/25.12.zip","tar_download_url":"/deep-spark/deepsparkinference/releases/tag/25.12.tar.gz"}}}