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burn
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burn/crates/burn-candle
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Guillaume Lagrange 0d5025edbb
Refactor tensor quantization for q_* ops (#2025) 
* Move QuantizationScheme to burn-tensor

* Refactor QuantizedTensorPrimitive to include the quantization strategy

* Fix QFloat tensor data display

* Refactor quantization methods to use scheme and qparams (on backend device)

* Fix clippy

* Fix fmt

* Add qtensor primitive tests
 		2024-07-19 10:39:50 -04:00
..
src Refactor tensor quantization for q_* ops (#2025) 2024-07-19 10:39:50 -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

README.md

Burn Candle Backend

This crate provides a backend for Burn based on the Candle framework.

It is still in alpha stage, not all operations are supported. It is usable for some use cases, like for inference.

It can be used with CPU or CUDA. On macOS computations can be accelerated by using the Accelerate framework.

Feature Flags

The following features are supported:

  • cuda - Cuda GPU device (NVIDIA only)
  • accelerate - Accelerate framework (macOS only)