bitsandbytes-rocm/CHANGELOG.md

0.0.21

• Ampere, RTX 30 series GPUs now compatible with the library.

0.0.22:

• Fixed an error where a reset_parameters() call on the StableEmbedding would lead to an error in older PyTorch versions (from 1.7.0).

0.0.23:

Bugs:

• Unified quantization API: each quantization function now returns Q, S where Q is the quantized tensor and S the quantization state which may hold absolute max values, a quantization map or more. For dequantization all functions now accept the inputs Q, S so that Q is dequantized with the quantization state S.
• Fixed an issue where the CUDA 11.1 binary was not compiled with the right headers

API changes:

• Block-wise quantization for optimizers now enabled by default

Features:

• Block-wise quantization routines now support CPU Tensors.

0.0.24:

• Fixed a bug where a float/half conversion led to a compilation error for CUDA 11.1 on Turning GPUs.
• removed Apex dependency for bnb LAMB

0.0.25:

Features:

• Added skip_zeros for block-wise and 32-bit optimizers. This ensures correct updates for sparse gradients and sparse models.
• Added support for Kepler GPUs. (#4)
• Added Analysis Adam to track 8-bit vs 32-bit quantization errors over time.
• Make compilation more user friendly.

Bug fixes:

• fixed "undefined symbol: __fatbinwrap_38" error for P100 GPUs on CUDA 10.1 (#5)

Docs:

• Added docs with instructions to compile from source.

0.26.0:

Features:

• Added Adagrad (without grad clipping) as 32-bit and 8-bit block-wise optimizer