Remove CUDA 11.7 builds

.github/workflows/build-conda-images.yml

@@ -26,7 +26,7 @@ jobs:
     runs-on: ubuntu-22.04
     strategy:
       matrix:
-        cuda_version: ["11.7", "11.8", "12.1", "cpu"]
+        cuda_version: ["11.8", "12.1", "cpu"]
     env:
       CUDA_VERSION: ${{ matrix.cuda_version }}
     steps:

.github/workflows/build-libtorch-images.yml

@@ -28,7 +28,7 @@ jobs:
     runs-on: ubuntu-22.04
     strategy:
       matrix:
-        cuda_version: ["12.1", "11.8", "11.7"]
+        cuda_version: ["12.1", "11.8"]
     env:
       GPU_ARCH_TYPE: cuda
       GPU_ARCH_VERSION: ${{ matrix.cuda_version }}

.github/workflows/build-magma-linux.yml

@@ -30,7 +30,7 @@ jobs:
     runs-on: linux.2xlarge
     strategy:
       matrix:
-        cuda_version: ["121", "118", "117"]
+        cuda_version: ["121", "118"]
     steps:
       - name: Checkout PyTorch builder
         uses: actions/checkout@v3

.github/workflows/build-magma-windows.yml

@@ -17,7 +17,7 @@ jobs:
     runs-on: windows-2019
     strategy:
       matrix:
-        cuda_version: ["121", "118", "117"]
+        cuda_version: ["121", "118"]
         config: ["Release", "Debug"]
     env:
       CUDA_VERSION: ${{ matrix.cuda_version }}

.github/workflows/build-manywheel-images.yml

@@ -30,7 +30,7 @@ jobs:
     runs-on: ubuntu-22.04
     strategy:
       matrix:
-        cuda_version: ["12.1", "11.8", "11.7"]
+        cuda_version: ["12.1", "11.8"]
     env:
       GPU_ARCH_TYPE: cuda
       GPU_ARCH_VERSION: ${{ matrix.cuda_version }}

common/install_cuda.sh

@@ -2,37 +2,6 @@
 
 set -ex
 
-function install_117 {
-    echo "Installing CUDA 11.7 and CuDNN 8.5 and NCCL 2.14"
-    rm -rf /usr/local/cuda-11.7 /usr/local/cuda
-    # install CUDA 11.7.0 in the same container
-    wget -q https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run
-    chmod +x cuda_11.7.0_515.43.04_linux.run
-    ./cuda_11.7.0_515.43.04_linux.run --toolkit --silent
-    rm -f cuda_11.7.0_515.43.04_linux.run
-    rm -f /usr/local/cuda && ln -s /usr/local/cuda-11.7 /usr/local/cuda
-
-    # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-    mkdir tmp_cudnn && cd tmp_cudnn
-    wget -q https://ossci-linux.s3.amazonaws.com/cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz -O cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz
-    tar xf cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz
-    cp -a cudnn-linux-x86_64-8.5.0.96_cuda11-archive/include/* /usr/local/cuda/include/
-    cp -a cudnn-linux-x86_64-8.5.0.96_cuda11-archive/lib/* /usr/local/cuda/lib64/
-    cd ..
-    rm -rf tmp_cudnn
-    ldconfig
-
-    # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
-    mkdir tmp_nccl && cd tmp_nccl
-    wget -q https://developer.download.nvidia.com/compute/redist/nccl/v2.14/nccl_2.14.3-1+cuda11.7_x86_64.txz
-    tar xf nccl_2.14.3-1+cuda11.7_x86_64.txz
-    cp -a nccl_2.14.3-1+cuda11.7_x86_64/include/* /usr/local/cuda/include/
-    cp -a nccl_2.14.3-1+cuda11.7_x86_64/lib/* /usr/local/cuda/lib64/
-    cd ..
-    rm -rf tmp_nccl
-    ldconfig
-}
-
 function install_118 {
     echo "Installing CUDA 11.8 and cuDNN 8.7 and NCCL 2.15"
     rm -rf /usr/local/cuda-11.8 /usr/local/cuda
@@ -95,37 +64,6 @@ function install_121 {
     ldconfig
 }
 
-function prune_117 {
-    echo "Pruning CUDA 11.7 and CuDNN"
-    #####################################################################################
-    # CUDA 11.7 prune static libs
-    #####################################################################################
-    export NVPRUNE="/usr/local/cuda-11.7/bin/nvprune"
-    export CUDA_LIB_DIR="/usr/local/cuda-11.7/lib64"
-
-    export GENCODE="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86"
-    export GENCODE_CUDNN="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86"
-
-    if [[ -n "$OVERRIDE_GENCODE" ]]; then
-        export GENCODE=$OVERRIDE_GENCODE
-    fi
-
-    # all CUDA libs except CuDNN and CuBLAS (cudnn and cublas need arch 3.7 included)
-    ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis"  \
-      | xargs -I {} bash -c \
-                "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
-
-    # prune CuDNN and CuBLAS
-    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
-    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
-
-    #####################################################################################
-    # CUDA 11.7 prune visual tools
-    #####################################################################################
-    export CUDA_BASE="/usr/local/cuda-11.7/"
-    rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2022.2.0 $CUDA_BASE/nsight-systems-2022.1.3
-}
-
 function prune_118 {
     echo "Pruning CUDA 11.8 and cuDNN"
     #####################################################################################
@@ -192,8 +130,6 @@ function prune_121 {
 while test $# -gt 0
 do
     case "$1" in
-    11.7) install_117; prune_117
-	        ;;
     11.8) install_118; prune_118
 	        ;;
     12.1) install_121; prune_121

conda/Dockerfile

@@ -48,10 +48,6 @@ ENV CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
 # Make things in our path by default
 ENV PATH=/usr/local/cuda-${CUDA_VERSION}/bin:$PATH
 
-FROM cuda as cuda11.7
-RUN bash ./install_cuda.sh 11.7
-ENV DESIRED_CUDA=11.7
-
 FROM cuda as cuda11.8
 RUN bash ./install_cuda.sh 11.8
 ENV DESIRED_CUDA=11.8
@@ -66,7 +62,6 @@ ADD ./common/install_mnist.sh install_mnist.sh
 RUN bash ./install_mnist.sh
 
 FROM base as all_cuda
-COPY --from=cuda11.7  /usr/local/cuda-11.7 /usr/local/cuda-11.7
 COPY --from=cuda11.8  /usr/local/cuda-11.8 /usr/local/cuda-11.8
 COPY --from=cuda12.1  /usr/local/cuda-12.1 /usr/local/cuda-12.1
 

conda/build_all_docker.sh

@@ -4,6 +4,6 @@ set -eou pipefail
 
 TOPDIR=$(git rev-parse --show-toplevel)
 
-for CUDA_VERSION in 12.1 11.8 11.7 cpu; do
+for CUDA_VERSION in 12.1 11.8 cpu; do
   CUDA_VERSION="${CUDA_VERSION}" conda/build_docker.sh
 done

conda/build_pytorch.sh

@@ -271,9 +271,6 @@ else
     elif [[ "$desired_cuda" == "11.8" ]]; then
         export CONDA_CUDATOOLKIT_CONSTRAINT="    - pytorch-cuda >=11.8,<11.9 # [not osx]"
         export MAGMA_PACKAGE="    - magma-cuda118 # [not osx and not win]"
-    elif [[ "$desired_cuda" == "11.7" ]]; then
-        export CONDA_CUDATOOLKIT_CONSTRAINT="    - pytorch-cuda >=11.7,<11.8 # [not osx]"
-        export MAGMA_PACKAGE="    - magma-cuda117 # [not osx and not win]"
     else
         echo "unhandled desired_cuda: $desired_cuda"
         exit 1

conda/pytorch-nightly/bld.bat

@@ -21,10 +21,6 @@ set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v%desired_cuda%
 set CUDA_BIN_PATH=%CUDA_PATH%\bin
 set TORCH_NVCC_FLAGS=-Xfatbin -compress-all
 set TORCH_CUDA_ARCH_LIST=5.0;6.0;6.1;7.0;7.5;8.0;8.6
-if "%desired_cuda%" == "11.7" (
-    set TORCH_CUDA_ARCH_LIST=%TORCH_CUDA_ARCH_LIST%;3.7+PTX
-    set TORCH_NVCC_FLAGS=-Xfatbin -compress-all --threads 2
-)
 if "%desired_cuda%" == "11.8" (
     set TORCH_CUDA_ARCH_LIST=%TORCH_CUDA_ARCH_LIST%;3.7+PTX;9.0
     set TORCH_NVCC_FLAGS=-Xfatbin -compress-all --threads 2

conda/pytorch-nightly/build.sh

@@ -55,14 +55,7 @@ if [[ -n "$build_with_cuda" ]]; then
     TORCH_CUDA_ARCH_LIST="5.0;6.0;6.1;7.0;7.5;8.0;8.6"
     export USE_STATIC_CUDNN=1 # links cudnn statically (driven by tools/setup_helpers/cudnn.py)
 
-    if [[ $CUDA_VERSION == 11.7* ]]; then
-        TORCH_CUDA_ARCH_LIST="$TORCH_CUDA_ARCH_LIST;3.7+PTX"
-        #for cuda 11.7 we use cudnn 8.5
-        #which does not have single static libcudnn_static.a deliverable to link with
-        export USE_STATIC_CUDNN=0
-        #for cuda 11.7 include all dynamic loading libraries
-        DEPS_LIST=(/usr/local/cuda/lib64/libcudnn*.so.8 /usr/local/cuda-11.7/extras/CUPTI/lib64/libcupti.so.11.7)
-    elif [[ $CUDA_VERSION == 11.8* ]]; then
+    if [[ $CUDA_VERSION == 11.8* ]]; then
 	TORCH_CUDA_ARCH_LIST="$TORCH_CUDA_ARCH_LIST;3.7+PTX;9.0"
 	#for cuda 11.8 we use cudnn 8.7
 	#which does not have single static libcudnn_static.a deliverable to link with

libtorch/Dockerfile

@@ -44,10 +44,6 @@ ADD ./common/install_conda.sh install_conda.sh
 RUN bash ./install_conda.sh && rm install_conda.sh
 RUN /opt/conda/bin/conda install -y cmake=3.18
 
-FROM cuda as cuda11.7
-RUN bash ./install_cuda.sh 11.7
-RUN bash ./install_magma.sh 11.7
-
 FROM cuda as cuda11.8
 RUN bash ./install_cuda.sh 11.8
 RUN bash ./install_magma.sh 11.8

libtorch/build_all_docker.sh

@@ -4,7 +4,7 @@ set -eou pipefail
 
 TOPDIR=$(git rev-parse --show-toplevel)
 
-for cuda_version in 12.1 11.8 11.7; do
+for cuda_version in 12.1 11.8; do
     GPU_ARCH_TYPE=cuda GPU_ARCH_VERSION="${cuda_version}" "${TOPDIR}/libtorch/build_docker.sh"
 done
 

magma/Makefile

@@ -1,8 +1,8 @@
 SHELL=/usr/bin/env bash
 
-DESIRED_CUDA ?= 11.7
-PACKAGE_NAME ?= magma-cuda117
-CUDA_ARCH_LIST ?= -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86
+DESIRED_CUDA ?= 11.8
+PACKAGE_NAME ?= magma-cuda118
+CUDA_ARCH_LIST ?= -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90
 
 DOCKER_RUN = set -eou pipefail; docker run --rm -i \
 	-v $(shell git rev-parse --show-toplevel):/builder \
@@ -16,7 +16,6 @@ DOCKER_RUN = set -eou pipefail; docker run --rm -i \
 .PHONY: all
 all: magma-cuda121
 all: magma-cuda118
-all: magma-cuda117
 
 .PHONY:
 clean:
@@ -26,21 +25,13 @@ clean:
 .PHONY: magma-cuda121
 magma-cuda121: DESIRED_CUDA := 12.1
 magma-cuda121: PACKAGE_NAME := magma-cuda121
-magma-cuda121: CUDA_ARCH_LIST += -gencode arch=compute_90,code=sm_90
 magma-cuda121:
 	$(DOCKER_RUN)
 
 .PHONY: magma-cuda118
 magma-cuda118: DESIRED_CUDA := 11.8
 magma-cuda118: PACKAGE_NAME := magma-cuda118
-magma-cuda118: CUDA_ARCH_LIST += -gencode arch=compute_37,code=sm_37 -gencode arch=compute_90,code=sm_90
+magma-cuda118: CUDA_ARCH_LIST += -gencode arch=compute_37,code=sm_37
 magma-cuda118:
 	$(DOCKER_RUN)
 
-.PHONY: magma-cuda117
-magma-cuda117: DESIRED_CUDA := 11.7
-magma-cuda117: PACKAGE_NAME := magma-cuda117
-magma-cuda117: CUDA_ARCH_LIST += -gencode arch=compute_37,code=sm_37
-magma-cuda117:
-	$(DOCKER_RUN)
-

manywheel/build_all_docker.sh

@@ -9,7 +9,7 @@ MANYLINUX_VERSION=2014 GPU_ARCH_TYPE=cpu "${TOPDIR}/manywheel/build_docker.sh"
 
 GPU_ARCH_TYPE=cpu-cxx11-abi "${TOPDIR}/manywheel/build_docker.sh"
 
-for cuda_version in 11.8 11.7; do
+for cuda_version in 12.1 11.8; do
     GPU_ARCH_TYPE=cuda GPU_ARCH_VERSION="${cuda_version}" "${TOPDIR}/manywheel/build_docker.sh"
     MANYLINUX_VERSION=2014 GPU_ARCH_TYPE=cuda GPU_ARCH_VERSION="${cuda_version}" "${TOPDIR}/manywheel/build_docker.sh"
 done

manywheel/build_cuda.sh

@@ -182,7 +182,7 @@ if [[ $CUDA_VERSION == "12.1" ]]; then
         export NCCL_INCLUDE_DIR="/usr/local/cuda/include/"
         export NCCL_LIB_DIR="/usr/local/cuda/lib64/"
     fi
-elif [[ $CUDA_VERSION == "11.7" || $CUDA_VERSION == "11.8" ]]; then
+elif [[ $CUDA_VERSION == "11.8" ]]; then
     export USE_STATIC_CUDNN=0
     # Try parallelizing nvcc as well
     export TORCH_NVCC_FLAGS="-Xfatbin -compress-all --threads 2"
@@ -208,6 +208,7 @@ elif [[ $CUDA_VERSION == "11.7" || $CUDA_VERSION == "11.8" ]]; then
             "/usr/local/cuda/lib64/libcudart.so.11.0"
             "/usr/local/cuda/lib64/libnvToolsExt.so.1"
             "/usr/local/cuda/lib64/libnvrtc.so.11.2"    # this is not a mistake, it links to more specific cuda version
+            "/usr/local/cuda/lib64/libnvrtc-builtins.so.11.8"
         )
         DEPS_SONAME+=(
             "libcudnn_adv_infer.so.8"
@@ -222,23 +223,8 @@ elif [[ $CUDA_VERSION == "11.7" || $CUDA_VERSION == "11.8" ]]; then
             "libcudart.so.11.0"
             "libnvToolsExt.so.1"
             "libnvrtc.so.11.2"
+            "libnvrtc-builtins.so.11.8"
         )
-        if [[ $CUDA_VERSION == "11.7" ]]; then
-            DEPS_LIST+=(
-                "/usr/local/cuda/lib64/libnvrtc-builtins.so.11.7"
-            )
-            DEPS_SONAME+=(
-                "libnvrtc-builtins.so.11.7"
-            )
-        fi
-        if [[ $CUDA_VERSION == "11.8" ]]; then
-            DEPS_LIST+=(
-                "/usr/local/cuda/lib64/libnvrtc-builtins.so.11.8"
-            )
-            DEPS_SONAME+=(
-                "libnvrtc-builtins.so.11.8"
-            )
-        fi
     else
         echo "Using nvidia libs from pypi."
         CUDA_RPATHS=(

windows/internal/build_magma.bat

@@ -41,9 +41,6 @@ if "%CUVER_NODOT%" == "121" (
 if "%CUVER_NODOT%" == "118" (
   set CUDA_ARCH_LIST= -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90
 )
-if "%CUVER_NODOT%" == "117" (
-  set CUDA_ARCH_LIST= -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86
-)
 
 set CC=cl.exe
 set CXX=cl.exe