#tensor-flow #ndarray


Adapter for Tensorflow tensors to expose the ndarray API

3 releases (breaking)

0.3.0 Nov 28, 2019
0.2.0 May 21, 2019
0.1.0 May 4, 2019

#14 in #tensor-flow

33 downloads per month
Used in 2 crates (via sticker)


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This crate provides a wrapper for the Tensor type of the tensorflow crate that can create ArrayView and ArrayViewMut instances. This makes it possible to use tensors through the ndarray API.


Tensor wrapper that exposes the ndarray API.

This crate provides a small wrapper around the Tensor data structure of the tensorflow crate, to make it possible to use the ndarray API. This wrapper, NdTensor, provides the view and view_mut methods to respectively obtain ArrayView and ArrayViewMut instances.

The following example shows how to wrap a Tensor and obtain an ArrayView:

use ndarray::{arr2, Ix2};
use ndarray_tensorflow::NdTensor;
use tensorflow::Tensor;

let tensor = Tensor::new(&[2, 3])
    .with_values(&[0u32, 1, 2, 3, 4, 5])
let array: NdTensor<_, Ix2> =
    arr2(&[[0, 1, 2], [3, 4, 5]]));


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