Add ExecuTorch WebGPU program for modnet

README.md

@@ -13,15 +13,13 @@ tags:
 This repository contains an [ExecuTorch](https://github.com/pytorch/executorch) conversion of
 https://github.com/ZHKKKe/MODNet for the ExecuTorch **WebGPU** backend, so the model runs entirely in a web browser on
 the visitor's GPU. It powers the corresponding demo in the
-[ExecuTorch Playground](https://executorch.ai/playground/webgpu/).
+ExecuTorch WebGPU Playground (launching soon on [executorch.ai](https://executorch.ai)).
 
 - **Base model:** https://github.com/ZHKKKe/MODNet
 - **Format:** ExecuTorch `.pte` programs delegated to the WebGPU backend
 - **Quantization:** fp32 (as exported)
 - **Total size:** 24.9 MB
 
-> **Note:** Confirm that the pretrained portrait weights carry the repository's Apache-2.0 terms.
-
 ## Files
 
 | File | Size | SHA-256 |
@@ -34,12 +32,12 @@ Full checksums are in `manifest.json`. The playground verifies them after downlo
 
 These programs need the ExecuTorch WebGPU runtime compiled to WebAssembly
 ([backends/webgpu](https://github.com/pytorch/executorch/tree/main/backends/webgpu)). The easiest way to
-try the model is the [ExecuTorch Playground](https://executorch.ai/playground/webgpu/), which downloads these
-files once, caches them in the browser, and runs everything locally.
+try the model is the ExecuTorch WebGPU Playground (launching soon on [executorch.ai](https://executorch.ai)),
+which downloads these files once, caches them in the browser, and runs everything locally.
 
 ## Provenance
 
-- **Weights:** `boopathiraj/MODNet` @ `a967175f8fd63de67a1c161d8daac966d2b57e3a`, file `modnet/pretrained/modnet_photographic_portrait_matting.ckpt`, sha256 `7c22235f0925deba15d4d63e53afcb654c47055bbcd98f56e393ab2584007ed8` (community mirror; official source to be confirmed)
+- **Weights:** `boopathiraj/MODNet` @ `a967175f8fd63de67a1c161d8daac966d2b57e3a`, file `modnet/pretrained/modnet_photographic_portrait_matting.ckpt`, sha256 `7c22235f0925deba15d4d63e53afcb654c47055bbcd98f56e393ab2584007ed8` (from a community mirror of the official release)
 - **Exported with:** executorch 1.5.1+cpu, torch 2.14.1+cpu, torchao 0.18.0+cpu, transformers 5.19.0 (executorch git `3b6068392324`)
 - **Reproduce:** `python recipes/modnet.py --out out/modnet` (recipe in `export/`)
 - Re-running the recipe produces byte-identical files.