After tf.Tensor creation, its value can be changed by input TypedArray (not immutable)

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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): macOS 11.2.3
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: N/A
• TensorFlow.js installed from (npm or script link): <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.2.0"> </script>
• TensorFlow.js version (use command below): 3.2.0
• Browser version: Google Chrome | 89.0.4389.114
• Tensorflow.js Converter Version: N/A

Describe the current behavior

const array = new Float32Array([1, 2, 3, 4]);
const tensor = tf.tensor(array, [2, 2]);
tensor.print();
// Tensor
//    [[1, 2],
//     [3, 4]]
array[0] = 2;
tensor.print();
// Tensor
//    [[2, 2],
//     [3, 4]]

Describe the expected behavior As the doc says, tf.Tensor should be immutable. So change array should not change the value of tensor. It is expected that:

const array = new Float32Array([1, 2, 3, 4]);
const tensor = tf.tensor(array, [2, 2]);
tensor.print();
// Tensor
//    [[1, 2],
//     [3, 4]]
array[0] = 2;
tensor.print();
// Tensor
//    [[1, 2],
//     [3, 4]]

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.

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.

[pyu10055]

@huningxin Thank you for raising this issue. I agree, we should document this limitation properly.

[google-ml-butler[bot]]

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