forked from mindspore-Ecosystem/mindspore
update checkversion for cuda11.6
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903101638c
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f2f0b56e20
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@ -89,12 +89,12 @@ class GPUEnvChecker(EnvChecker):
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logger.warning(f"MindSpore version {__version__} and cudDNN version {cudnn_version} "
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"does not match, please refer to the installation guide for version matching "
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"information: https://www.mindspore.cn/install. The recommended version is "
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"CUDA10.1 with cuDNN7.6.x and CUDA11.1 with cuDNN8.0.x")
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"CUDA10.1 with cuDNN7.6.x, CUDA11.1 with cuDNN8.0.x and CUDA11.6 with cuDNN8.5.x.")
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if cudnn_version and int(cudnn_version) < 800 and int(str(self.v).split('.')[0]) > 10:
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logger.warning(f"CUDA version {self.v} and cuDNN version {cudnn_version} "
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"does not match, please refer to the installation guide for version matching "
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"information: https://www.mindspore.cn/install. The recommended version is "
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"CUDA11.1 with cuDNN8.0.x")
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"CUDA11.1 with cuDNN8.0.x or CUDA11.6 with cuDNN8.5.x.")
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def set_env(self):
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return
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@ -26,7 +26,7 @@
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# Augments:
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# - PYTHON_VERSION: python version to install. [3.7(default), 3.8, 3.9]
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# - MINDSPORE_VERSION: mindspore version to install, >=1.6.0
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# - CUDA_VERSION: CUDA version to install. [10.1, 11.1(default)]
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# - CUDA_VERSION: CUDA version to install. [10.1, 11.1 11.6(default)]
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# - OPENMPI: whether to install optional package Open MPI for distributed training. [on, off(default)]
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#
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# Usage:
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@ -64,7 +64,7 @@ if [[ "$PYTHON_VERSION" == "3.8" && ${MINDSPORE_VERSION:0:3} == "1.6" ]]; then
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exit 1
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fi
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available_cuda_version=(10.1 11.1)
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available_cuda_version=(10.1 11.1 11.6)
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if [[ " ${available_cuda_version[*]} " != *" $CUDA_VERSION "* ]]; then
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echo "CUDA_VERSION is '$CUDA_VERSION', but available versions are [${available_cuda_version[*]}]."
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exit 1
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@ -144,6 +144,7 @@ cd /tmp
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declare -A cuda_url_map=()
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cuda_url_map["10.1"]=https://developer.download.nvidia.cn/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run
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cuda_url_map["11.1"]=https://developer.download.nvidia.cn/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run
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cuda_url_map["11.6"]=https://developer.download.nvidia.cn/compute/cuda/11.6.0/local_installers/cuda_11.6.0_510.39.01_linux.run
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cuda_url=${cuda_url_map[$CUDA_VERSION]}
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wget $cuda_url
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sudo sh ${cuda_url##*/} --silent --toolkit
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@ -155,6 +156,7 @@ sudo apt-get update
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declare -A cudnn_name_map=()
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cudnn_name_map["10.1"]="libcudnn7=7.6.5.32-1+cuda10.1 libcudnn7-dev=7.6.5.32-1+cuda10.1"
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cudnn_name_map["11.1"]="libcudnn8=8.0.5.39-1+cuda11.1 libcudnn8-dev=8.0.5.39-1+cuda11.1"
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cudnn_name_map["11.6"]="libcudnn8=8.5.0.96-1+cuda11.6 libcudnn8-dev=8.5.0.96-1+cuda11.6"
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sudo apt-get install --no-install-recommends ${cudnn_name_map[$CUDA_VERSION]} -y
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# add cuda to path
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@ -171,6 +173,7 @@ env_name=mindspore_py3${PYTHON_VERSION##*.}
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declare -A cudnn_version_map=()
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cudnn_version_map["10.1"]="7.6.5"
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cudnn_version_map["11.1"]="8.1.0"
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cudnn_version_map["11.6"]="8.5.0"
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conda create -n $env_name python=${PYTHON_VERSION} -c conda-forge -y
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conda activate $env_name
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install_name="mindspore-gpu"
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@ -27,7 +27,7 @@
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# Augments:
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# - PYTHON_VERSION: python version to install. [3.7(default), 3.8, 3.9]
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# - MINDSPORE_VERSION: mindspore version to install, >=1.6.0, required
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# - CUDA_VERSION: CUDA version to install. [10.1, 11.1(default)]
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# - CUDA_VERSION: CUDA version to install. [10.1, 11.1 11.6(default)]
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# - OPENMPI: whether to install optional package Open MPI for distributed training. [on, off(default)]
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#
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# Usage:
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@ -38,7 +38,7 @@ set -e
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PYTHON_VERSION=${PYTHON_VERSION:-3.7}
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MINDSPORE_VERSION=${MINDSPORE_VERSION:EMPTY}
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CUDA_VERSION=${CUDA_VERSION:-11.1}
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CUDA_VERSION=${CUDA_VERSION:-11.6}
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OPENMPI=${OPENMPI:-off}
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release_info=$(lsb_release -a | grep Release)
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UBUNTU_VERSION=${release_info//[!0-9]/}
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@ -65,7 +65,7 @@ if [[ "$PYTHON_VERSION" == "3.8" && ${MINDSPORE_VERSION:0:3} == "1.6" ]]; then
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exit 1
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fi
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available_cuda_version=(10.1 11.1)
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available_cuda_version=(10.1 11.1 11.6)
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if [[ " ${available_cuda_version[*]} " != *" $CUDA_VERSION "* ]]; then
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echo "CUDA_VERSION is '$CUDA_VERSION', but available versions are [${available_cuda_version[*]}]."
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exit 1
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@ -73,6 +73,7 @@ fi
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declare -A minimum_driver_version_map=()
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minimum_driver_version_map["10.1"]="418.39"
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minimum_driver_version_map["11.1"]="450.80.02"
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minimum_driver_version_map["11.6"]="510.39.01"
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driver_version=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
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if [[ $driver_version < ${minimum_driver_version_map[$CUDA_VERSION]} ]]; then
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echo "CUDA $CUDA_VERSION minimum required driver version is ${minimum_driver_version_map[$CUDA_VERSION]}, \
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@ -116,6 +117,7 @@ cd /tmp
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declare -A cuda_url_map=()
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cuda_url_map["10.1"]=https://developer.download.nvidia.cn/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run
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cuda_url_map["11.1"]=https://developer.download.nvidia.cn/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run
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cuda_url_map["11.6"]=https://developer.download.nvidia.cn/compute/cuda/11.6.0/local_installers/cuda_11.6.0_510.39.01_linux.run
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cuda_url=${cuda_url_map[$CUDA_VERSION]}
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wget $cuda_url
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sudo sh ${cuda_url##*/} --silent --toolkit
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@ -127,6 +129,7 @@ sudo apt-get update
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declare -A cudnn_name_map=()
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cudnn_name_map["10.1"]="libcudnn7=7.6.5.32-1+cuda10.1 libcudnn7-dev=7.6.5.32-1+cuda10.1"
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cudnn_name_map["11.1"]="libcudnn8=8.0.5.39-1+cuda11.1 libcudnn8-dev=8.0.5.39-1+cuda11.1"
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cudnn_name_map["11.6"]="libcudnn8=8.5.0.96-1+cuda11.6 libcudnn8-dev=8.5.0.96-1+cuda11.6"
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sudo apt-get install --no-install-recommends ${cudnn_name_map[$CUDA_VERSION]} -y
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# add cuda to path
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@ -26,7 +26,7 @@
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#
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# Augments:
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# - PYTHON_VERSION: python version to install. [3.7(default), 3.8, 3.9]
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# - CUDA_VERSION: CUDA version to install. [10.1, 11.1(default)]
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# - CUDA_VERSION: CUDA version to install. [10.1, 11.1 11.6(default)]
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# - OPENMPI: whether to install optional package Open MPI for distributed training. [on, off(default)]
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# - LLVM: whether to install optional dependency LLVM for graph kernel fusion. [on, off(default)]
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#
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@ -37,7 +37,7 @@
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set -e
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PYTHON_VERSION=${PYTHON_VERSION:-3.7}
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CUDA_VERSION=${CUDA_VERSION:-11.1}
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CUDA_VERSION=${CUDA_VERSION:-11.6}
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OPENMPI=${OPENMPI:-off}
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LLVM=${LLVM:-off}
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release_info=$(lsb_release -a | grep Release)
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@ -58,6 +58,7 @@ fi
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declare -A minimum_driver_version_map=()
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minimum_driver_version_map["10.1"]="418.39"
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minimum_driver_version_map["11.1"]="450.80.02"
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minimum_driver_version_map["11.6"]="510.39.01"
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driver_version=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
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if [[ $driver_version < ${minimum_driver_version_map[$CUDA_VERSION]} ]]; then
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echo "CUDA $CUDA_VERSION minimum required driver version is ${minimum_driver_version_map[$CUDA_VERSION]}, \
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@ -126,6 +127,7 @@ echo "installing CUDA and cuDNN"
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declare -A cuda_url_map=()
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cuda_url_map["10.1"]=https://developer.download.nvidia.cn/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run
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cuda_url_map["11.1"]=https://developer.download.nvidia.cn/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run
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cuda_url_map["11.6"]=https://developer.download.nvidia.cn/compute/cuda/11.6.0/local_installers/cuda_11.6.0_510.39.01_linux.run
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cuda_url=${cuda_url_map[$CUDA_VERSION]}
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wget $cuda_url
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sudo sh ${cuda_url##*/} --silent --toolkit
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@ -137,6 +139,7 @@ sudo apt-get update
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declare -A cudnn_name_map=()
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cudnn_name_map["10.1"]="libcudnn7=7.6.5.32-1+cuda10.1 libcudnn7-dev=7.6.5.32-1+cuda10.1"
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cudnn_name_map["11.1"]="libcudnn8=8.0.5.39-1+cuda11.1 libcudnn8-dev=8.0.5.39-1+cuda11.1"
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cudnn_name_map["11.6"]="libcudnn8=8.5.0.96-1+cuda11.6 libcudnn8-dev=8.5.0.96-1+cuda11.6"
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sudo apt-get install --no-install-recommends ${cudnn_name_map[$CUDA_VERSION]} -y
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# add cuda to path
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