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Use TypedArray to instantiate tensor - Doc/code inconsistency
See original GitHub issueTensorFlow.js version
tfjs-core: 0.13.2 tfjs-layers: 0.8.1 tfjs-converter: 0.6.1 tfjs: 0.13.1
Browser version
Chrome 69.0.3497.100 (Official Build) (64-bit)
Describe the problem or feature request
The doc says: tf.tensor1d (values, dtype?) values (TypedArray|Array) The values of the tensor. Can be array of numbers, or a TypedArray
However the code checks that values is either:
- Float32Array
- Int32Array
- Uint8Array
Code to reproduce the bug / link to feature request
Result: I have been scratching my head for an hour on this:
> tf.tensor1d(new Uint16Array([1, 2, 3, 4]))
tf-core.esm.js:17 Uncaught Error: tensor1d() requires values to be a flat/TypedArray
But this IS a TypedArray.
I would suggest to either:
- Rework the doc so that TypedArray is replaced by the actual expected types or
- Allow any kind of TypedArray (preferred solution of course).
Issue Analytics
- State:
- Created 5 years ago
- Reactions:8
- Comments:5
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Error message should still be improved as passing an Int16Array will return a message saying that a typed array is required and int16array is a typed array.
Thanks, but I wouldn’t feel comfortable to patch this in a solid way. 😕 Btw, adapting the documentation would be sufficient as a first step: just explicitly name the supported types of
TypedArray.