[tfjs-models] memory access out of bounds error in pose-detection demo

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System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow.js): Yes
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: No
• TensorFlow.js installed from (npm or script link): https://unpkg.com/@tensorflow/tfjs-core@latest/dist/tf-core.js
• TensorFlow.js version (use command below): 3.7.0
• Browser version: 91.0.4472.114
• Tensorflow.js Converter Version:

Describe the current behavior Met RuntimeError: memory access out of bounds when use wasm backend in posenet model.

Describe the expected behavior Should not met Error

Standalone code to reproduce the issue Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/CodePen/any notebook.

1. Add wasm backend to poseNet model.

diff --git a/pose-detection/demos/live_video/src/params.js b/pose-detection/demos/live_video/src/params.js
index 3ddf62e..66cdb98 100644
--- a/pose-detection/demos/live_video/src/params.js
+++ b/pose-detection/demos/live_video/src/params.js
@@ -80,7 +80,7 @@ export const BACKEND_FLAGS_MAP = {
 };

 export const MODEL_BACKEND_MAP = {
-  [posedetection.SupportedModels.PoseNet]: ['tfjs-webgl'],
+  [posedetection.SupportedModels.PoseNet]: ['tfjs-webgl', 'tfjs-wasm'],
   [posedetection.SupportedModels.MoveNet]: ['tfjs-webgl', 'tfjs-wasm'],
   [posedetection.SupportedModels.BlazePose]:
       isiOS() ? ['tfjs-webgl'] : ['mediapipe-gpu', 'tfjs-webgl']

1. yarn watch
2. Visit http://localhost:1234/?model=posenet
3. select “tfjs-wasm”

Other info / logs Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

[lina128]

Right, WASM is not supported, it’s either too slow to run or throws memory access out of bounds error.

[google-ml-butler[bot]]

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