Added CUDA 12.0 support; removed CC 3.0 support.

This commit is contained in:
Tim Dettmers 2023-01-04 02:28:33 -08:00
parent b3de19218e
commit 3901ebf7ae
6 changed files with 92 additions and 22 deletions

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@ -139,7 +139,6 @@ Features:
Bug fixes:
- Fixed a problem where warning messages would be displayed even though everything worked correctly.
### 0.35.2
Bug fixes:
@ -155,3 +154,38 @@ Bug fixes:
Bug fixes:
- Fixed a bug in the CUDA Setup failed with the cuda runtime was found, but not the cuda library.
- Fixed a bug where not finding the cuda runtime led to an incomprehensible error.
### 0.36.0
#### Improvements, Ada/Hopper support, fake k-bit quantization.
Features:
- CUDA 11.8 and 12.0 support added
- support for Ada and Hopper GPUs added (compute capability 8.9 and 9.0)
- support for fake k-bit block-wise quantization for Int, Float, quantile quantization, and dynamic exponent data types added
- Added CUDA instruction generator to fix some installations.
- Added additional block sizes for quantization {64, 128, 256, 512, 1024}
- Added SRAM Quantile algorithm to quickly estimate less than 256 quantiles
- Added option to suppress the bitsandbytes welcome message (@Cyberes)
Regression:
- Compute capability 3.0 removed: GTX 600s and 700s series is no longer supported (except GTX 780 and GTX 780 Ti)
Bug fixes:
- fixed a bug where too long directory names would crash the CUDA SETUP #35 (@tomaarsen)
- fixed a bug where CPU installations on Colab would run into an error #34 (@tomaarsen)
- fixed an issue where the default CUDA version with fast-DreamBooth was not supported #52
- fixed a bug where the CUDA setup failed due to a wrong function call.
- fixed a bug in the CUDA Setup which led to an incomprehensible error if no GPU was detected.
- fixed a bug in the CUDA Setup failed with the cuda runtime was found, but not the cuda library.
- fixed a bug where not finding the cuda runtime led to an incomprehensible error.
- fixed a bug where with missing CUDA the default was an error instead of the loading the CPU library
- fixed a bug where the CC version of the GPU was not detected appropriately (@BlackHC)
- fixed a bug in CPU quantization which lead to errors when the input buffer exceeded 2^31 elements
Improvements:
- multiple improvements in formatting, removal of unused imports, and slight performance improvements (@tomaarsen)
- StableEmbedding layer now has device and dtype parameters to make it 1:1 replaceable with regular Embedding layers (@lostmsu)
- runtime performance of block-wise quantization slightly improved
- added error message for the case multiple libcudart.so are installed and bitsandbytes picks the wrong one

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@ -22,12 +22,11 @@ BUILD_DIR:= $(ROOT_DIR)/build
FILES_CUDA := $(CSRC)/ops.cu $(CSRC)/kernels.cu
FILES_CPP := $(CSRC)/common.cpp $(CSRC)/cpu_ops.cpp $(CSRC)/pythonInterface.c
INCLUDE := -I $(CUDA_HOME)/include -I $(ROOT_DIR)/csrc -I $(CONDA_PREFIX)/include -I $(ROOT_DIR)/dependencies/cub -I $(ROOT_DIR)/include
INCLUDE := -I $(CUDA_HOME)/include -I $(ROOT_DIR)/csrc -I $(CONDA_PREFIX)/include -I $(ROOT_DIR)/include
INCLUDE_10x := -I $(CUDA_HOME)/include -I $(ROOT_DIR)/csrc -I $(ROOT_DIR)/dependencies/cub -I $(ROOT_DIR)/include
LIB := -L $(CUDA_HOME)/lib64 -lcudart -lcublas -lcublasLt -lcurand -lcusparse -L $(CONDA_PREFIX)/lib
# NVIDIA NVCC compilation flags
COMPUTE_CAPABILITY := -gencode arch=compute_35,code=sm_35 # Kepler
COMPUTE_CAPABILITY += -gencode arch=compute_37,code=sm_37 # Kepler
COMPUTE_CAPABILITY += -gencode arch=compute_50,code=sm_50 # Maxwell
COMPUTE_CAPABILITY += -gencode arch=compute_52,code=sm_52 # Maxwell
COMPUTE_CAPABILITY += -gencode arch=compute_60,code=sm_60 # Pascal
@ -35,11 +34,10 @@ COMPUTE_CAPABILITY += -gencode arch=compute_61,code=sm_61 # Pascal
COMPUTE_CAPABILITY += -gencode arch=compute_70,code=sm_70 # Volta
COMPUTE_CAPABILITY += -gencode arch=compute_72,code=sm_72 # Volta
# CUDA 9.2 supports CC 3.0, but CUDA >= 11.0 does not
CC_CUDA92 := -gencode arch=compute_30,code=sm_30
CC_KEPLER := -gencode arch=compute_35,code=sm_35 # Kepler
CC_KEPLER += -gencode arch=compute_37,code=sm_37 # Kepler
# Later versions of CUDA support the new architectures
CC_CUDA10x := -gencode arch=compute_30,code=sm_30
CC_CUDA10x += -gencode arch=compute_75,code=sm_75
CC_CUDA110 := -gencode arch=compute_75,code=sm_75
@ -49,6 +47,7 @@ CC_CUDA11x := -gencode arch=compute_75,code=sm_75
CC_CUDA11x += -gencode arch=compute_80,code=sm_80
CC_CUDA11x += -gencode arch=compute_86,code=sm_86
CC_cublasLt110 := -gencode arch=compute_75,code=sm_75
CC_cublasLt110 += -gencode arch=compute_80,code=sm_80
@ -56,30 +55,38 @@ CC_cublasLt111 := -gencode arch=compute_75,code=sm_75
CC_cublasLt111 += -gencode arch=compute_80,code=sm_80
CC_cublasLt111 += -gencode arch=compute_86,code=sm_86
CC_ADA_HOPPER := -gencode arch=compute_89,code=sm_89
CC_ADA_HOPPER += -gencode arch=compute_90,code=sm_90
all: $(ROOT_DIR)/dependencies/cub $(BUILD_DIR) env
$(NVCC) $(COMPUTE_CAPABILITY) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR)
$(NVCC) $(COMPUTE_CAPABILITY) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_KEPLER) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR)
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_KEPLER) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(GPP) -std=c++14 -DBUILD_CUDA -shared -fPIC $(INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(BUILD_DIR)/link.o $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cuda$(CUDA_VERSION).so $(LIB)
cuda92: $(ROOT_DIR)/dependencies/cub $(BUILD_DIR) env
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA92) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA92) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA92) $(CC_KEPLER) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA92) $(CC_KEPLER) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(GPP) -std=c++14 -DBUILD_CUDA -shared -fPIC $(INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(BUILD_DIR)/link.o $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cuda$(CUDA_VERSION)_nocublaslt.so $(LIB)
cuda10x_nomatmul: $(ROOT_DIR)/dependencies/cub $(BUILD_DIR) env
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA10x) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA10x) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA10x) $(CC_KEPLER) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE_10x) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA10x) $(CC_KEPLER) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(GPP) -std=c++14 -DBUILD_CUDA -shared -fPIC $(INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(BUILD_DIR)/link.o $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cuda$(CUDA_VERSION)_nocublaslt.so $(LIB)
cuda110_nomatmul: $(BUILD_DIR) env
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA110) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA110) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA110) $(CC_KEPLER) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA110) $(CC_KEPLER) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(GPP) -std=c++14 -DBUILD_CUDA -shared -fPIC $(INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(BUILD_DIR)/link.o $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cuda$(CUDA_VERSION)_nocublaslt.so $(LIB)
cuda11x_nomatmul: $(BUILD_DIR) env
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA11x) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA11x) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA11x) $(CC_KEPLER) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA11x) $(CC_KEPLER) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(GPP) -std=c++14 -DBUILD_CUDA -shared -fPIC $(INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(BUILD_DIR)/link.o $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cuda$(CUDA_VERSION)_nocublaslt.so $(LIB)
cuda12x_nomatmul: $(BUILD_DIR) env
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA11x) $(CC_ADA_HOPPER) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR) -D NO_CUBLASLT
$(NVCC) $(COMPUTE_CAPABILITY) $(CC_CUDA11x) $(CC_ADA_HOPPER) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(GPP) -std=c++14 -DBUILD_CUDA -shared -fPIC $(INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(BUILD_DIR)/link.o $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cuda$(CUDA_VERSION)_nocublaslt.so $(LIB)
cuda110: $(BUILD_DIR) env
@ -92,6 +99,11 @@ cuda11x: $(BUILD_DIR) env
$(NVCC) $(CC_cublasLt111) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(GPP) -std=c++14 -DBUILD_CUDA -shared -fPIC $(INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(BUILD_DIR)/link.o $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cuda$(CUDA_VERSION).so $(LIB)
cuda12x: $(BUILD_DIR) env
$(NVCC) $(CC_cublasLt111) $(CC_ADA_HOPPER) -Xcompiler '-fPIC' --use_fast_math -Xptxas=-v -dc $(FILES_CUDA) $(INCLUDE) $(LIB) --output-directory $(BUILD_DIR)
$(NVCC) $(CC_cublasLt111) $(CC_ADA_HOPPER) -Xcompiler '-fPIC' -dlink $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.o
$(GPP) -std=c++14 -DBUILD_CUDA -shared -fPIC $(INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(BUILD_DIR)/link.o $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cuda$(CUDA_VERSION).so $(LIB)
cpuonly: $(BUILD_DIR) env
$(GPP) -std=c++14 -shared -fPIC -I $(ROOT_DIR)/csrc -I $(ROOT_DIR)/include $(FILES_CPP) -o ./bitsandbytes/libbitsandbytes_cpu.so

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@ -50,9 +50,9 @@ Requirements: anaconda, cudatoolkit, pytorch
Hardware requirements:
- LLM.int8(): NVIDIA Turing (RTX 20xx; T4) or Ampere GPU (RTX 30xx; A4-A100); (a GPU from 2018 or older).
- 8-bit optimizers and quantization: NVIDIA Maxwell GPU or newer (>=GTX 9XX).
- 8-bit optimizers and quantization: NVIDIA Kepler GPU or newer (>=GTX 78X).
Supported CUDA versions: 10.2 - 11.7
Supported CUDA versions: 10.2 - 12.0
The bitsandbytes library is currently only supported on Linux distributions. Windows is not supported at the moment.

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@ -11,6 +11,7 @@ URL115=https://developer.download.nvidia.com/compute/cuda/11.5.2/local_installer
URL116=https://developer.download.nvidia.com/compute/cuda/11.6.2/local_installers/cuda_11.6.2_510.47.03_linux.run
URL117=https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run
URL118=https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
URL120=https://developer.download.nvidia.com/compute/cuda/12.0.0/local_installers/cuda_12.0.0_525.60.13_linux.run
CUDA_VERSION=$1
@ -56,6 +57,9 @@ if [[ -n "$CUDA_VERSION" ]]; then
elif [[ "$CUDA_VERSION" -eq "118" ]]; then
URL=$URL118
FOLDER=cuda-11.8
elif [[ "$CUDA_VERSION" -eq "120" ]]; then
URL=$URL120
FOLDER=cuda-12.0
else
echo "argument error: No cuda version passed as input. Choose among: {111, 115}"
fi

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@ -110,7 +110,7 @@ fi
make clean
export CUDA_HOME=$BASE_PATH/cuda-11.8
make cuda11x CUDA_VERSION=118
make cuda12x CUDA_VERSION=118
if [ ! -f "./bitsandbytes/libbitsandbytes_cuda118.so" ]; then
# Control will enter here if $DIRECTORY doesn't exist.
@ -118,6 +118,16 @@ if [ ! -f "./bitsandbytes/libbitsandbytes_cuda118.so" ]; then
exit 64
fi
make clean
export CUDA_HOME=$BASE_PATH/cuda-12.0
make cuda12x CUDA_VERSION=120
if [ ! -f "./bitsandbytes/libbitsandbytes_cuda120.so" ]; then
# Control will enter here if $DIRECTORY doesn't exist.
echo "Compilation unsuccessul!" 1>&2
exit 64
fi
make clean
export CUDA_HOME=$BASE_PATH/cuda-10.2
@ -213,7 +223,7 @@ fi
make clean
export CUDA_HOME=$BASE_PATH/cuda-11.8
make cuda11x_nomatmul CUDA_VERSION=118
make cuda12x_nomatmul CUDA_VERSION=118
if [ ! -f "./bitsandbytes/libbitsandbytes_cuda118_nocublaslt.so" ]; then
# Control will enter here if $DIRECTORY doesn't exist.
@ -221,5 +231,15 @@ if [ ! -f "./bitsandbytes/libbitsandbytes_cuda118_nocublaslt.so" ]; then
exit 64
fi
make clean
export CUDA_HOME=$BASE_PATH/cuda-12.0
make cuda12x_nomatmul CUDA_VERSION=120
if [ ! -f "./bitsandbytes/libbitsandbytes_cuda120_nocublaslt.so" ]; then
# Control will enter here if $DIRECTORY doesn't exist.
echo "Compilation unsuccessul!" 1>&2
exit 64
fi
python -m build
python -m twine upload dist/* --verbose

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@ -18,7 +18,7 @@ def read(fname):
setup(
name=f"bitsandbytes",
version=f"0.35.4",
version=f"0.36.0",
author="Tim Dettmers",
author_email="dettmers@cs.washington.edu",
description="8-bit optimizers and matrix multiplication routines.",