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Guillaume Lagrange cdd1fa1672
Refactor tensor data (#1916) 
* Move distribution to module

* Add new TensorData with serialization support

* Implement display and from for TensorData

* Add missing Cargo.lock

* Add missing bytemuck feature

* Add zeros, ones, full and random TensorData methods

* Refactor Data -> TensorData usage

* Fix tests

Since TensorData is not generic over the element type anymore no type inference can be done by the compiler. We must explicitly cast the expected results to the expected backend type.

* Remove commented line

* Fix import

* Add record-backward-compat

* Remove dim const generic from TensorData

* Support NestedValue de/serialization with TensorData

* Fix burn-jit tests

* Remove eprinln

* Refactor onnx import to use TensorData

* Fix tch from_data

* Fix nested value serialization for u8

* Fix missing import

* Fix reduce min onnx test

* Fix deprecated attribute

* Remove shape getter

* Remove strict assert in tests

* Add tensor data as_bytes

* Add tensor check for rank mismatch

* Fix typo (dimensions plural)

* Fix error message

* Update book examples with from_data and fix Display impl for TensorData

* Add deprecation note
 		2024-06-26 20:22:19 -04:00
..
src Refactor tensor data (#1916) 2024-06-26 20:22:19 -04:00
Cargo.toml Fix `DataSerialize` conversion for elements of the same type (#1832) 2024-05-28 18:12:44 -04:00
LICENSE-APACHE Update licenses symlinks (#1613) 2024-04-12 14:43:58 -04:00
LICENSE-MIT Update licenses symlinks (#1613) 2024-04-12 14:43:58 -04:00
README.md [refactor] Move burn crates to their own crates directory (#1336) 2024-02-20 13:57:55 -05:00
build.rs [refactor] Move burn crates to their own crates directory (#1336) 2024-02-20 13:57:55 -05:00

README.md

Burn NdArray

Burn ndarray backend

Current Crates.io Version license

Feature Flags

This crate can be used without the standard library (#![no_std]) with alloc by disabling the default std feature.

The following flags support various BLAS options:

  • blas-accelerate - Accelerate framework (macOS only)
  • blas-netlib - Netlib
  • blas-openblas - OpenBLAS static linked
  • blas-openblas-system - OpenBLAS from the system

Note: under the no_std mode, the seed is fixed if the seed is not initialized by by Backend::seed method.

Platform Support

Option CPU GPU Linux MacOS Windows Android iOS WASM
Pure Rust Yes No Yes Yes Yes Yes Yes Yes
Accelerate Yes No No Yes No No Yes No
Netlib Yes No Yes Yes Yes No No No
Openblas Yes No Yes Yes Yes Yes Yes No