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The output of the tf.dot operation on the CPU backend is inconsistent with the output on the WebGL, Wasm, and TensorFlow backends #8395

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liliquan0118 opened this issue Oct 2, 2024 · 0 comments
Open

The output of the tf.dot operation on the CPU backend is inconsistent with the output on the WebGL, Wasm, and TensorFlow backends #8395

liliquan0118 opened this issue Oct 2, 2024 · 0 comments
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@mattsoulanille @shmishra99
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comp:backend-webgl comp:wasm stat:awaiting tensorflower type:bug Something isn't working

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@liliquan0118
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liliquan0118 commented Oct 2, 2024 •
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Please make sure that this is a bug. As per our
GitHub Policy,
we only address code/doc bugs, performance issues, feature requests and
build/installation issues on GitHub. tag:bug_template

System information

  • Have I written custom code (as opposed to using a stock example script provided in TensorFlow.js):
  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04, Macos 13.3 (22E252)
  • Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
  • TensorFlow.js installed from (npm or script link): script link
  • TensorFlow.js version (use command below): 4.2.0
  • Browser version: Chrome Version 128.0.6613.86 (Official Build) (arm64)
  • Tensorflow.js Converter Version:

Describe the current behavior

Given the "t1": [[-1767738612.8308272,1342651338.1728053]], "t2": [[-1069397745.6943247,-1040119386.9828408],[630839119.41397,-1766313500.9227078]], tf.dot(t1,t2) return [ [ 2737412593109958700, -532884082837684200 ] ] on the CPU backend. However, tf.dot(t1,t2) return [[2737412867987865600, -532884048477945860]] on the WebGL backend and return [[2737412867987865600, -532884082837684200]] on Wasm, and tensorflow backends.

Output:
image

image

Describe the expected behavior

The output should be consistent across all backends.

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.

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>bug00</title>
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.js"> </script>
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf-backend-wasm.js"></script>
</head>
<body>

<script>
    async function dot(backend){
        await tf.setBackend(backend);
        await tf.ready() 
        t1 = [[-1767738612.8308272,1342651338.1728053]]
        t2 = [[-1069397745.6943247,-1040119386.9828408],[630839119.41397,-1766313500.9227078]]
        const result = await tf.dot(t1,t2);
        await console.log("the result of ", tf.getBackend(), "is:\n" );
        await result.print();
    }
    async function test() {
        await dot("cpu");
        await dot("webgl");
        await dot("wasm");
    }
    
    test();
</script>
</body>
</html>

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.
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@mattsoulanille mattsoulanille

@shmishra99 shmishra99

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comp:backend-webgl comp:wasm stat:awaiting tensorflower type:bug Something isn't working
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@mattsoulanille @liliquan0118 @shmishra99