Use single thread compilation for cuda12.1, torch2.1 to avoid OOM CI

.github/workflows/publish.yml

@@ -88,8 +88,12 @@ jobs:
 
       - name: Free up disk space
         if: ${{ runner.os == 'Linux' }}
+        # https://github.com/easimon/maximize-build-space/blob/master/action.yml
+        # https://github.com/easimon/maximize-build-space/tree/test-report
         run: |
           sudo rm -rf /usr/share/dotnet
+          sudo rm -rf /opt/ghc
+          sudo rm -rf /opt/hostedtoolcache/CodeQL
 
       - name: Install CUDA ${{ matrix.cuda-version }}
         if: ${{ matrix.cuda-version != 'cpu' }}
@@ -137,6 +141,10 @@ jobs:
           pip install ninja packaging wheel
           export PATH=/usr/local/nvidia/bin:/usr/local/nvidia/lib64:$PATH
           export LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
+          # Currently for this setting the runner goes OOM if we pass --threads 4 to nvcc
+          if [[ ${MATRIX_CUDA_VERSION} == "12.1" && ${MATRIX_TORCH_VERSION} == "2.1" ]]; then
+            export FLASH_ATTENTION_FORCE_SINGLE_THREAD="TRUE"
+          fi
           # Limit MAX_JOBS otherwise the github runner goes OOM
           MAX_JOBS=1 FLASH_ATTENTION_FORCE_BUILD="TRUE" FLASH_ATTENTION_FORCE_CXX11_ABI=${{ matrix.cxx11_abi}} python setup.py bdist_wheel --dist-dir=dist
           tmpname=cu${MATRIX_CUDA_VERSION}torch${MATRIX_TORCH_VERSION}cxx11abi${{ matrix.cxx11_abi }}

flash_attn/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "2.0.6"
+__version__ = "2.0.6.post1"
 
 from flash_attn.flash_attn_interface import flash_attn_func
 from flash_attn.flash_attn_interface import flash_attn_kvpacked_func

setup.py

@@ -36,6 +36,8 @@
 SKIP_CUDA_BUILD = os.getenv("FLASH_ATTENTION_SKIP_CUDA_BUILD", "FALSE") == "TRUE"
 # For CI, we want the option to build with C++11 ABI since the nvcr images use C++11 ABI
 FORCE_CXX11_ABI = os.getenv("FLASH_ATTENTION_FORCE_CXX11_ABI", "FALSE") == "TRUE"
+# For CI, we want the option to not add "--threads 4" to nvcc, since the runner can OOM
+FORCE_SINGLE_THREAD = os.getenv("FLASH_ATTENTION_FORCE_SINGLE_THREAD", "FALSE") == "TRUE"
 
 
 def get_platform():
@@ -91,8 +93,7 @@ def raise_if_cuda_home_none(global_option: str) -> None:
 
 
 def append_nvcc_threads(nvcc_extra_args):
-    _, bare_metal_version = get_cuda_bare_metal_version(CUDA_HOME)
-    if bare_metal_version >= Version("11.2"):
+    if not FORCE_SINGLE_THREAD:
         return nvcc_extra_args + ["--threads", "4"]
     return nvcc_extra_args