From 076d1b1babee52fce290576d48d099b597334c6d Mon Sep 17 00:00:00 2001
From: "jianyuan.guo" <348797244@qq.com>
Date: Tue, 11 Oct 2022 12:01:44 +0000
Subject: [PATCH] add manifold kd .md

---
 .../gpu/1.8/manifold_kd_v1.0_imagenet2012.md  | 67 +++++++++++++++++++
 .../{1.3 => 1.8}/tokenfusion_v1.0_nyudv2.md   |  0
 2 files changed, 67 insertions(+)
 create mode 100644 mshub_res/assets/noah-cvlab/gpu/1.8/manifold_kd_v1.0_imagenet2012.md
 rename mshub_res/assets/noah-cvlab/gpu/{1.3 => 1.8}/tokenfusion_v1.0_nyudv2.md (100%)

diff --git a/mshub_res/assets/noah-cvlab/gpu/1.8/manifold_kd_v1.0_imagenet2012.md b/mshub_res/assets/noah-cvlab/gpu/1.8/manifold_kd_v1.0_imagenet2012.md
new file mode 100644
index 0000000..ce0b0b1
--- /dev/null
+++ b/mshub_res/assets/noah-cvlab/gpu/1.8/manifold_kd_v1.0_imagenet2012.md
@@ -0,0 +1,67 @@
+# Manifold KD
+
+---
+
+model-name: Manifold KD
+
+backbone-name: vit/swin_transformer
+
+module-type: cv-classification
+
+fine-tunable: True
+
+input-shape: [224, 224, 3]
+
+model-version: 1.0
+
+train-dataset: imagenet2012
+
+accuracy: vit-tiny: 76.18 / swin-tiny: 82.04
+
+author: Noah's Ark Lab
+
+update-time: 2022-10-11
+
+vit-repo-link: https://gitee.com/mindspore/models/tree/master/official/cv/vit
+
+swin-repo-link: https://gitee.com/mindspore/models/tree/master/research/cv/swin_transformer
+
+user-id: Noah's Ark Lab
+
+used-for: inference
+
+train-backend: gpu
+
+infer-backend: gpu
+
+mindspore-version: 1.8
+
+asset:
+
+- file-format: ckpt
+
+  asset-link: https://download.mindspore.cn/models/r1.8/manifold_kd_deit_tiny_gpu_v180_imagenet2012_research_cv_top1acc76.18.ckpt
+
+  asset-link: https://download.mindspore.cn/models/r1.8/manifold_kd_swin_tiny_gpu_v180_imagenet2012_research_cv_top1acc82.04.ckpt
+
+license: Apache2.0
+
+summary: Manifold knowledge distillation model for imagenet classification
+
+---
+
+## Introduction
+
+This MindSpore Hub model uses the implementation of vit and swin transformer from the MindSpore model zoo on above repo link.
+
+## Citation
+
+1. Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang, [**Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation**](https://arxiv.org/pdf/2107.01378.pdf), In **NeurIPS 2022**.
+
+## Disclaimer
+
+MindSpore ("we") do not own any ownership or intellectual property rights of the datasets, and the trained models are provided on an "as is" and "as available" basis. We make no representations or warranties of any kind of the datasets and trained models (collectively, “materials”) and will not be liable for any loss, damage, expense or cost arising from the materials. Please ensure that you have permission to use the dataset under the appropriate license for the dataset and in accordance with the terms of the relevant license agreement. The trained models provided are only for research and education purposes.
+
+To Dataset Owners: If you do not wish to have a dataset included in MindSpore, or wish to update it in any way, we will remove or update the content at your request. Please contact us through GitHub or Gitee. Your understanding and contributions to the community are greatly appreciated.
+
+MindSpore is available under the Apache 2.0 license, please see the LICENSE file.
\ No newline at end of file
diff --git a/mshub_res/assets/noah-cvlab/gpu/1.3/tokenfusion_v1.0_nyudv2.md b/mshub_res/assets/noah-cvlab/gpu/1.8/tokenfusion_v1.0_nyudv2.md
similarity index 100%
rename from mshub_res/assets/noah-cvlab/gpu/1.3/tokenfusion_v1.0_nyudv2.md
rename to mshub_res/assets/noah-cvlab/gpu/1.8/tokenfusion_v1.0_nyudv2.md
-- 
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