burn_ndarray/
lib.rs

1#![cfg_attr(not(feature = "std"), no_std)]
2#![warn(missing_docs)]
3#![cfg_attr(docsrs, feature(doc_cfg))]
4
5//! Burn ndarray backend.
6
7#[cfg(any(
8    feature = "blas-netlib",
9    feature = "blas-openblas",
10    feature = "blas-openblas-system",
11))]
12extern crate blas_src;
13
14mod backend;
15mod element;
16mod ops;
17mod parallel;
18mod rand;
19mod sharing;
20mod tensor;
21
22pub use backend::*;
23pub use element::*;
24pub(crate) use sharing::*;
25pub use tensor::*;
26
27extern crate alloc;
28
29#[cfg(test)]
30mod tests {
31    type TestBackend = crate::NdArray<f32>;
32    type TestTensor<const D: usize> = burn_tensor::Tensor<TestBackend, D>;
33    type TestTensorInt<const D: usize> = burn_tensor::Tensor<TestBackend, D, burn_tensor::Int>;
34    type TestTensorBool<const D: usize> = burn_tensor::Tensor<TestBackend, D, burn_tensor::Bool>;
35
36    use alloc::format;
37    use alloc::vec;
38    use alloc::vec::Vec;
39
40    burn_tensor::testgen_all!();
41
42    #[cfg(feature = "std")]
43    burn_autodiff::testgen_all!();
44
45    // Quantization
46    burn_tensor::testgen_calibration!();
47    burn_tensor::testgen_scheme!();
48    burn_tensor::testgen_quantize!();
49    burn_tensor::testgen_q_data!();
50}