Tensor construction fails for the majority of TypedArray types about tfjs

[gaikwadrahul8]

Hi, @controversial

Thank you for bringing this issue to our attention and I was able to reproduce the behavior on my end as well. It appears there may be a discrepancy between the TensorFlow.js documentation and the currently supported TypedArrays for tensor construction. While the documentation lists broader compatibility with all TypedArrays but at the moment seems like it only support (Uint8Array, Uint8ClampedArray, Int32Array, Float32Array) for tensor construction so most probably this issue will be considered as feature request if TensorFlow.js does not support remaining TypedArrays for tensor construction and I'll discuss this issue in our internal meeting and will update you soon on this. thank you for your valuable time and efforts bringing this issue to our attention

Here is output log for reference :

(base) gaikwadrahul-macbookpro:test-8257 gaikwadrahul$ node index.js
- failure: Int8Array
+ success: Uint8Array
+ success: Uint8ClampedArray
- failure: Int16Array
- failure: Uint16Array
+ success: Int32Array
- failure: Uint32Array
+ success: Float32Array
- failure: Float64Array
(base) gaikwadrahul-macbookpro:test-8257 gaikwadrahul$ 

Thank you for your understanding and patience.

[gaikwadrahul8]

Hi, @controversial

I sincerely apologize for the delay in responding. I noticed that pull request #8287 has been merged, which addresses the need to update the official documentation. These changes will be reflected in the next release of TensorFlow.js. With this update in place, I'm closing this issue. Thank you for raising this concern and for your valuable time and effort.

Thank you for your cooperation and patience.

[google-ml-butler]

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[controversial]

Thanks for updating the docs @gaikwadrahul8 ! That’s really helpful

Could we reopen this issue as a feature request to add support for the missing array types, instead of just documenting that they aren’t supported?