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Bumped version for new release.

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This commit is contained in:
Tim Dettmers 2023-07-22 13:07:08 -07:00
parent 412fd0e717
commit a06a0f6a08
2 changed files with 28 additions and 1 deletions
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27
CHANGELOG.md
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@ -283,3 +283,30 @@ Bug fixes:
- Removed outdated get_cuda_lib_handle calls that lead to errors. #595 Thank you @ihsanturk
- Fixed bug where read-permission was assumed for a file. #497
- Fixed a bug where prefetchAsync lead to errors on GPUs that do not support unified memory but not prefetching (Maxwell, SM52). #470 #451 #453 #477 Thank you @jllllll and @stoperro
### 0.41.0
Features:
- Added precompiled CUDA 11.8 binaries to support H100 GPUs without compilation #571
- CUDA SETUP now no longer looks for libcuda and libcudart and relies PyTorch CUDA libraries. To manually override this behavior see: how_to_use_nonpytorch_cuda.md. Thank you @rapsealk
Bug fixes:
- Fixed a bug where the default type of absmax was undefined which leads to errors if the default type is different than torch.float32. # 553
- Fixed a missing scipy dependency in requirements.txt. #544
- Fixed a bug, where a view operation could cause an error in 8-bit layers.
- Fixed a bug where CPU bitsandbytes would during the import. #593 Thank you @bilelomrani
- Fixed a but where a non-existent LD_LIBRARY_PATH variable led to a failure in python -m bitsandbytes #588
- Removed outdated get_cuda_lib_handle calls that lead to errors. #595 Thank you @ihsanturk
- Fixed bug where read-permission was assumed for a file. #497
- Fixed a bug where prefetchAsync lead to errors on GPUs that do not support unified memory but not prefetching (Maxwell, SM52). #470 #451 #453 #477 Thank you @jllllll and @stoperro
Documentation:
- Improved documentation for GPUs that do not support 8-bit matmul. #529
- Added description and pointers for the NF4 data type. #543
User experience:
- Improved handling of default compute_dtype for Linear4bit Layers, so that compute_dtype = input_dtype if the input data type is stable enough (float32, bfloat16, but not float16).
Performance:
- improved 4-bit inference performance for A100 GPUs. This degraded performance for A40/RTX3090 and RTX 4090 GPUs slightly.

2
setup.py
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@ -18,7 +18,7 @@ def read(fname):
setup(
name=f"bitsandbytes",
version=f"0.40.2",
version=f"0.41.0",
author="Tim Dettmers",
author_email="dettmers@cs.washington.edu",
description="k-bit optimizers and matrix multiplication routines.",