slight tweaks to make it easy to work for Arch Linux users btw
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13
Makefile
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13
Makefile
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@ -1,7 +1,8 @@
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MKFILE_PATH := $(abspath $(lastword $(MAKEFILE_LIST)))
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ROOT_DIR := $(patsubst %/,%,$(dir $(MKFILE_PATH)))
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GPP:= /usr/bin/g++
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ROCM_DIR := /opt/rocm/
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HIPCC := $(ROCM_DIR)/bin/hipcc
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GPP:= g++
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ifeq ($(CUDA_HOME),)
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CUDA_HOME:= $(shell which nvcc | rev | cut -d'/' -f3- | rev)
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endif
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@ -113,12 +114,12 @@ cpuonly: $(BUILD_DIR) env
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HIP_INCLUDE := -I $(ROOT_DIR)/csrc -I $(ROOT_DIR)/include
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# -I /opt/rocm-5.3.0/hipcub/include
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HIP_LIB := -L/opt/rocm-5.3.0/lib -L/opt/rocm-5.3.0/llvm/bin/../lib/clang/15.0.0/lib/linux -L/usr/lib/gcc/x86_64-linux-gnu/11 -L/usr/lib/gcc/x86_64-linux-gnu/11/../../../../lib64 -L/lib/x86_64-linux-gnu -L/lib/../lib64 -L/usr/lib/x86_64-linux-gnu -L/usr/lib/../lib64 -L/lib -L/usr/lib -lgcc_s -lgcc -lpthread -lm -lrt -lamdhip64 -lhipblas -lhipsparse -lclang_rt.builtins-x86_64 -lstdc++ -lm -lgcc_s -lgcc -lc -lgcc_s -lgcc
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HIP_LIB := -L$(ROCM_DIR)/lib -L$(ROCM_DIR)/llvm/bin/../lib/clang/15.0.0/lib/linux -L/usr/lib/gcc/x86_64-linux-gnu/11 -L/usr/lib/gcc/x86_64-linux-gnu/11/../../../../lib64 -L/lib/x86_64-linux-gnu -L/lib/../lib64 -L/usr/lib/x86_64-linux-gnu -L/usr/lib/../lib64 -L/lib -L/usr/lib -lgcc_s -lgcc -lpthread -lm -lrt -lamdhip64 -lhipblas -lhipsparse -lclang_rt.builtins-x86_64 -lstdc++ -lm -lgcc_s -lgcc -lc -lgcc_s -lgcc
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hip: $(BUILD_DIR)
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/usr/bin/hipcc -std=c++14 -c -fPIC --amdgpu-target=gfx1030 $(HIP_INCLUDE) -o $(BUILD_DIR)/ops.o -D NO_CUBLASLT $(CSRC)/ops.cu
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/usr/bin/hipcc -std=c++14 -c -fPIC --amdgpu-target=gfx1030 $(HIP_INCLUDE) -o $(BUILD_DIR)/kernels.o -D NO_CUBLASLT $(CSRC)/kernels.cu
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# /usr/bin/hipcc -fPIC -static $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.so
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$(HIPCC) -std=c++14 -c -fPIC --amdgpu-target=gfx1030 $(HIP_INCLUDE) -o $(BUILD_DIR)/ops.o -D NO_CUBLASLT $(CSRC)/ops.cu
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$(HIPCC) -std=c++14 -c -fPIC --amdgpu-target=gfx1030 $(HIP_INCLUDE) -o $(BUILD_DIR)/kernels.o -D NO_CUBLASLT $(CSRC)/kernels.cu
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# $(HIPCC) -fPIC -static $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o -o $(BUILD_DIR)/link.so
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$(GPP) -std=c++14 -D__HIP_PLATFORM_AMD__ -DBUILD_CUDA -shared -fPIC -I /opt/rocm/include $(HIP_INCLUDE) $(BUILD_DIR)/ops.o $(BUILD_DIR)/kernels.o $(FILES_CPP) $(HIP_LIB) -o ./bitsandbytes/libbitsandbytes_hip_nocublaslt.so
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env:
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26
README.md
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README.md
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@ -1,3 +1,29 @@
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# bitsandbytes-rocm
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Credits to [broncotc/bitsandbytes-rocm](https://github.com/broncotc/bitsandbytes-rocm) for the original fork, and [0cc4m/bitsandbytes-rocm](https://github.com/0cc4m/bitsandbytes-rocm) for updating it. I'm only hosting a local copy as this has some slight tweaks in the Makefile, and instructions
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## Pre-Requisite
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This assumes you're an Arch Linux user like me (or derivation). If you're using a different distro, you can easily adapt it.
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In `Makefile`:
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* edit line 3 to point to your ROCm install folder (default: `/opt/rocm/`), if your distro installs it in an exotic place
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* that should be it!
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## Compiling
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```
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# activate your VENV, if using this within a VENV
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git clone https://git.ecker.tech/mrq/bitsandbytes-rocm
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make hip
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CUDA_VERSION=gfx1030 python setup.py install # assumes you're using a 6XXX series card
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python3 -m bitsandbytes # to validate it works
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```
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**!**NOTE**!**: this assumes you have a AMD 6XXX series card. Adapt this to your proper GFX version if different.
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---
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# bitsandbytes
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The bitsandbytes is a lightweight wrapper around CUDA custom functions, in particular 8-bit optimizers, matrix multiplication (LLM.int8()), and quantization functions.
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