Predict is aborted with a .tflite model

[lhofinger]

Hello,

System information

• I have written custom code
• OS: Windows 11 23H2
• TensorFlow.js installed from script link https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest/dist/tf.js
• TensorFlow.js version: latest
• Browser version: Chrome 130.0
• Tensorflow.js Converter Version: /

Describe the current behavior
Trying to use BirdNET model https://github.com/rdz-oss/BattyBirdNET-Analyzer/raw/refs/heads/main/checkpoints/V2.4/BirdNET_GLOBAL_6K_V2.4_Model_FP32.tflite

But I get this error:
classif.js:22 Error: RuntimeError: Aborted(). Build with -sASSERTIONS for more info.
at abort (tflite_web_api_cc_simd.js:9:6515)
at abort (tflite_web_api_cc_simd.js:9:60528)
at tflite_web_api_cc_simd.wasm:0x1baad
at tflite_web_api_cc_simd.wasm:0x2e1f87
at tflite_web_api_cc_simd.wasm:0x2f907
at tflite_web_api_cc_simd.wasm:0x522f0
at tflite_web_api_cc_simd.wasm:0x32b150
at tflite_web_api_cc_simd.wasm:0x17e14
at TFLiteWebModelRunner.TFLiteWebModelRunner$Infer [as Infer] (eval at new (tflite_web_api_cc_simd.js:9:33059), :8:10)
at module$exports$google3$third_party$tensorflow_lite_support$web$tflite_web_api_client.TFLiteWebModelRunner.infer (tflite_web_api_client.js:2714:188)

The same code, with a simple model is not aborting.

Standalone code to reproduce the issue
Simple code with issue: https://www.paludour.net/bats/classification.html

[shmishra99]

Hi @lhofinger ,

I am able to reproduce the issue you're facing. I created a dummy dataset of 144,000 points and encountered the same error.

I've noticed that the model sometimes halts for a while before throwing the error. Additionally, models with fewer tensors seem to work without problems.
While the model is running, I've observed that browser memory consumption becomes very high. I suspect this could be an 'out-of-memory' issue due to the execution of large tensors.

Thank You!!

[lhofinger]

Hello and thank you. Great that you have reproduced the problem. I'm not sure it is a memory problem. This model works great in Python with not too much memory. Can anyone look deeper?

[shmishra99]

Hi @lhofinger ,

I apologize for the late response. Memory management differs between browsers and the main os. The model, which runs on Keras, may not be directly compatible with TensorFlow.js. I've observed that the code is spiking system memory. Therefore, I believe this error is due to memory issues. Could you please confirm if your system is also displaying the memory spike?

Thank You!!

[github-actions]

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