Add conda nvcc installation instructions to compile_from_source.md #12
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…mports Add missing imports to adam
[FIX] passing of sparse in StableEmbedding
…orts Remove unused imports, fix NotImplementedError
Add a CPU-only build option
If users don't have sudo access, or want to have different cuda versions for each conda environment, it can be helpful to install nvcc on a per environment basis. It is non-intuitive which of the many conda package (nvcc, cuda_runtime, etc.) you need to install, so I thought it would be useful to include that info in the source compilation instructions. This is how I installed the package locally, and can upload my conda env file if its wanted :)
aninrusimha
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This is a great addition, thank you! One issue with the conda install is that only a limited number of CUDA versions are supported. We also offer a script to download and install a variety of CUDA versions locally: cuda_install.sh. Could you add instructions on how to use this? |
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* Add SYCL Kernels for XPU backend * fix transpose Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix log and format Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * revert cpu changes Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * clean ipex_xpu Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * clean ipex import Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix ipex cpu import Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix typo Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix comments Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * refine gemv_4bit kernel * enable FP4 for dequant_4bit and gemv_4bit * refine FP4 dequantization performance * remove check for better performance Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix doc Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * clean code * fix tests Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * rm comments Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix memory issue * fix ut failure * adjust threshold Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix xpu check Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * change test_functional check Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix test_module Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix device check Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix tests Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * Enable Windows build and refine code * fix xpu log Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * remove ipex entirely Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix cpu int8 CB Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix lint Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix logs (#12) * fix logs Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix format Signed-off-by: jiqing-feng <jiqing.feng@intel.com> --------- Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * Fix sycl lint error and tests (#13) * fix sycl nd Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix tests Signed-off-by: jiqing-feng <jiqing.feng@intel.com> --------- Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * skip typo check for xpu kernel codes (#14) * skip test for xpu ops Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix lint Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * skip typo for xpu Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * skip Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * skip Signed-off-by: jiqing-feng <jiqing.feng@intel.com> --------- Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * register triton kernel for quantization (#15) Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * Fix version comparison issue (#18) # Description The version comparison expression miss reference the .release property from the version object. This lead to compare between the tuple and the string # Error message ``` The 8-bit optimizer is not available on your device, only available on CUDA for now. 🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning. Traceback (most recent call last): File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/unsloth_validation/run.py", line 1, in <module> import unsloth File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth/__init__.py", line 235, in <module> from .models import * File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth/models/__init__.py", line 15, in <module> from .llama import FastLlamaModel File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth/models/llama.py", line 23, in <module> from ._utils import * File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth/models/_utils.py", line 89, in <module> from unsloth_zoo.patching_utils import ( File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth_zoo/patching_utils.py", line 629, in <module> import transformers.integrations.bitsandbytes File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/transformers/integrations/bitsandbytes.py", line 20, in <module> import bitsandbytes as bnb File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/bitsandbytes/bitsandbytes/__init__.py", line 39, in <module> from .backends.xpu import ops as xpu_ops File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/bitsandbytes/bitsandbytes/backends/xpu/ops.py", line 17, in <module> if version.parse(torch.__version__).release >= version.parse("2.9"): TypeError: '>=' not supported between instances of 'tuple' and 'Version' ``` --------- Signed-off-by: jiqing-feng <jiqing.feng@intel.com> Co-authored-by: jiqing-feng <jiqing.feng@intel.com> Co-authored-by: Er-Xin (Edwin) Shang <shangerxin@hotmail.com>
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If users don't have sudo access, or want to have different cuda versions for each conda environment, it can be helpful to install nvcc on a per environment basis. It is non-intuitive which of the many conda package (nvcc, cuda_runtime, etc.) you need to install, so I thought it would be useful to include that info in the source compilation instructions. This is how I installed the package locally, and can upload my conda env file if its wanted :)