Add release note for v1.1.0

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README.md

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+---
+library_name: pytorch
+---
+
+![efficientvit_logo](resource/EfficientViT.png)
+
+EfficientViT is a new family of high-resolution vision models with novel multi-scale linear attention. As such, EfficientViT delivers remarkable performance gains over previous state-of-the-art models with significant speedup on diverse hardware platforms, including mobile CPU, edge GPU, and cloud GPU.
+
+Original paper: [EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction](https://arxiv.org/abs/2205.14756)
+
+# EfficientViT-L2
+
+EfficientViT is a new family of vision models for efficient high-resolution dense prediction. The core building block of EfficientViT is a new lightweight multi-scale linear attention module that achieves global receptive field and multi-scale learning with only hardware-efficient operations.
+
+Model Configuration:
+- Reference implementation: [EfficientViT-L2](https://github.com/CVHub520/efficientvit)
+- Original Weight: [l2.pt](https://www.dropbox.com/scl/fi/565wb47z1f5re9jckr42t/l2.pt?rlkey=ojffxngf6iv0oiost6c2tskul&dl=0)
+- Dataset: ADE20K
+- Resolution: 3x512x512
+- Support Cooper version:
+    - Cooper SDK: [2.5.2]
+    - Cooper Foundry: [2.2]
+
+| Model | Device | Model Link |
+| :-----: | :-----: | :-----: |
+| EfficientViT-L2 | N1-655 | [Model_Link](https://huggingface.co/Ambarella/EfficientViT/blob/main/n1-655_efficientvit_l2.bin) |
+| EfficientViT-L2 | CV72 | [Model_Link](https://huggingface.co/Ambarella/EfficientViT/blob/main/cv72_efficientvit_l2.bin) |
+| EfficientViT-L2 | CV75 | [Model_Link](https://huggingface.co/Ambarella/EfficientViT/blob/main/cv75_efficientvit_l2.bin) |