Native Tensor support

J Decker d3ck0r at gmail.com
Sun Jan 28 15:27:19 UTC 2018


https://github.com/yiransheng/tensor-ops-js

On Sun, Jan 28, 2018 at 6:08 AM, Michał Wadas <michalwadas at gmail.com> wrote:

> Why should be it included in standard library?
>
> Are there widely used  libraries providing similar capabilities?
>
> Why is it preferable to implementing tensor operations in Web Assembly?
>
>
> On 27 Jan 2018 2:50 am, "Robert Eisele" <robert at xarg.org> wrote:
>
> Hello,
>
> Allocating multi-dimensional arrays in Javascript is only possible by
> building each dimension individually. In addition to being a very tedious
> job, a developer has no control over memory usage, which in general is
> likely to be very high.
>
> Seeing an array algebraically as a vector, typed arrays have already
> created the ability to work more efficiently and memory-consciously with
> lists of numbers. A natural extension of this is not just a matrix, but a
> tensor.
>
> I would like to suggest tensors as a native language construct in ES. This
> would have the advantage that developers could write highly parallelizable
> code independently of WebGL. As an API one could introduce the following
> classes in analogy to typed arrays:
>
> - IntXTensor
> - UintXTensor
> - FloatXTensor
>
> Where X is one of {8, 16, 32, 64}. To make these tensor objects really
> effective, it is necessary to introduce meaningful operations, maybe
> similar to the features of TensorFlow. I think by introducing tensors in
> the browser (but also node.js), a wide range of new applications open up.
> For example, working with deep learning right in the browser or calculating
> filters on images without having to write shaders for them.
>
> The most important thing probably is having a way of storing high
> dimensional data in the browser without worrying about the memory
> footprint, even for complex applications.
>
> What do you think about it?
>
> Robert Eisele
>
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