NV-docker测试系列

2017-02-01 约 1628 字预计阅读 4 分钟
概述

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aws ec2 describe-instances --filters "Name=instance-type,Values=g4dn.xlarge"
aws ec2 describe-instances --filters "Name=instance-type,Values=g4dn.xlarge" --query "Reservations[].Instances[].InstanceId"
aws ec2 describe-instances --filters "Name=instance-type,Values=g4dn.xlarge" --filters Name=instance-state-name,Values=running --query "Reservations[].Instances[].PublicIpAddress"

aws ec2 run-instances --image-id ami-0c4f7023847b90238 --count 1 --instance-type g4dn.xlarge --key-name home --security-group-ids sg-09a16a5a8bd226113 --subnet-id subnet-03959d098b755dc22 --block-device-mappings "[{\"DeviceName\":\"/dev/sda1\",\"Ebs\":{\"VolumeSize\":15,\"DeleteOnTermination\":true}}]"

# 登录实例
aws ec2 describe-instances --filters "Name=instance-type,Values=g4dn.xlarge" --query "Reservations[].Instances[].PublicIpAddress" | cat
ssh ubuntu@`aws ec2 describe-instances --filters "Name=instance-type,Values=g4dn.xlarge" --query "Reservations[].Instances[].PublicIpAddress" | cat`

# 终止实例
aws ec2 describe-instances --filters "Name=instance-type,Values=g4dn.xlarge" --filters Name=instance-state-name,Values=running --query "Reservations[].Instances[].InstanceId" | cat
aws ec2 terminate-instances --instance-ids `aws ec2 describe-instances --filters "Name=instance-type,Values=g4dn.xlarge" --filters Name=instance-state-name,Values=running --query "Reservations[].Instances[].InstanceId" | cat`

{
    "Reservations": [
        {
            "Groups": [],
            "Instances": [
                {
                    "AmiLaunchIndex": 0,
                    "ImageId": "ami-0c4f7023847b90238",
                    "InstanceId": "i-01352dc5bee4ecedf",
                    "InstanceType": "g4dn.xlarge",
                    "KeyName": "home",
                    "LaunchTime": "2022-06-11T14:53:25+00:00",
                    "Monitoring": {
                        "State": "disabled"
                    },
                    "Placement": {
                        "AvailabilityZone": "us-east-1b",
                        "GroupName": "",
                        "Tenancy": "default"
                    },
                    "PrivateDnsName": "ip-172-31-90-186.ec2.internal",
                    "PrivateIpAddress": "172.31.90.186",
                    "ProductCodes": [],
                    "PublicDnsName": "ec2-35-174-4-130.compute-1.amazonaws.com",
                    "PublicIpAddress": "35.174.4.130",
                    "State": {
                        "Code": 16,
                        "Name": "running"
                    },
                    "StateTransitionReason": "",
                    "SubnetId": "subnet-03959d098b755dc22",
                    "VpcId": "vpc-050c0397c631696ec",
                    "Architecture": "x86_64",
                    "BlockDeviceMappings": [
                        {
                            "DeviceName": "/dev/sda1",
                            "Ebs": {
                                "AttachTime": "2022-06-11T14:53:26+00:00",
                                "DeleteOnTermination": true,
                                "Status": "attached",
                                "VolumeId": "vol-01ddc78e57f54b01c"
                            }
                        }
                    ],
                    "ClientToken": "",
                    "EbsOptimized": true,
                    "EnaSupport": true,
                    "Hypervisor": "xen",
                    "NetworkInterfaces": [
                        {
                            "Association": {
                                "IpOwnerId": "amazon",
                                "PublicDnsName": "ec2-35-174-4-130.compute-1.amazonaws.com",
                                "PublicIp": "35.174.4.130"
                            },
                            "Attachment": {
                                "AttachTime": "2022-06-11T14:53:25+00:00",
                                "AttachmentId": "eni-attach-0adc8abe048583a8a",
                                "DeleteOnTermination": true,
                                "DeviceIndex": 0,
                                "Status": "attached",
                                "NetworkCardIndex": 0
                            },
                            "Description": "",
                            "Groups": [
                                {
                                    "GroupName": "launch-wizard-24",
                                    "GroupId": "sg-09a16a5a8bd226113"
                                }
                            ],
                            "Ipv6Addresses": [],
                            "MacAddress": "12:bc:1a:b0:8d:0f",
                            "NetworkInterfaceId": "eni-0287bb80c55470c64",
                            "OwnerId": "348797107744",
                            "PrivateDnsName": "ip-172-31-90-186.ec2.internal",
                            "PrivateIpAddress": "172.31.90.186",
                            "PrivateIpAddresses": [
                                {
                                    "Association": {
                                        "IpOwnerId": "amazon",
                                        "PublicDnsName": "ec2-35-174-4-130.compute-1.amazonaws.com",
                                        "PublicIp": "35.174.4.130"
                                    },
                                    "Primary": true,
                                    "PrivateDnsName": "ip-172-31-90-186.ec2.internal",
                                    "PrivateIpAddress": "172.31.90.186"
                                }
                            ],
                            "SourceDestCheck": true,
                            "Status": "in-use",
                            "SubnetId": "subnet-03959d098b755dc22",
                            "VpcId": "vpc-050c0397c631696ec",
                            "InterfaceType": "interface"
                        }
                    ],
                    "RootDeviceName": "/dev/sda1",
                    "RootDeviceType": "ebs",
                    "SecurityGroups": [
                        {
                            "GroupName": "launch-wizard-24",
                            "GroupId": "sg-09a16a5a8bd226113"
                        }
                    ],
                    "SourceDestCheck": true,
                    "VirtualizationType": "hvm",
                    "CpuOptions": {
                        "CoreCount": 2,
                        "ThreadsPerCore": 2
                    },
                    "CapacityReservationSpecification": {
                        "CapacityReservationPreference": "open"
                    },
                    "HibernationOptions": {
                        "Configured": false
                    },
                    "MetadataOptions": {
                        "State": "applied",
                        "HttpTokens": "optional",
                        "HttpPutResponseHopLimit": 1,
                        "HttpEndpoint": "enabled",
                        "HttpProtocolIpv6": "disabled",
                        "InstanceMetadataTags": "disabled"
                    },
                    "EnclaveOptions": {
                        "Enabled": false
                    },
                    "PlatformDetails": "Linux/UNIX",
                    "UsageOperation": "RunInstances",
                    "UsageOperationUpdateTime": "2022-06-11T14:53:25+00:00",
                    "PrivateDnsNameOptions": {
                        "HostnameType": "ip-name",
                        "EnableResourceNameDnsARecord": true,
                        "EnableResourceNameDnsAAAARecord": false
                    },
                    "MaintenanceOptions": {
                        "AutoRecovery": "default"
                    }
                }
            ],
            "OwnerId": "348797107744",
            "ReservationId": "r-02dd0920b21778829"
        }
    ]
}

# 安装驱动的脚本处理
cat >> gpu.sh <<\EOF
set -x
BASE_URL=https://us.download.nvidia.com/tesla
DRIVER_VERSION=470.129.06
curl -fSsl -O $BASE_URL/$DRIVER_VERSION/NVIDIA-Linux-x86_64-$DRIVER_VERSION.run
apt update
apt install -y gcc make
sh NVIDIA-Linux-x86_64-$DRIVER_VERSION.run -s
nvidia-smi
curl https://get.docker.com | sh && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt-get update
apt-get install -y nvidia-docker2 unzip zip
systemctl restart docker
sleep 3s
nvidia-docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi
nvidia-docker run --rm -d runzhliu/dp-query:0.2.7 &
EOF

bash gpu.sh

# 410.104-4.4.0-1122-aws
set -x
BASE_URL=https://us.download.nvidia.com/tesla
DRIVER_VERSION=410.104
curl -fSsl -O $BASE_URL/$DRIVER_VERSION/NVIDIA-Linux-x86_64-$DRIVER_VERSION.run
apt update
apt install -y gcc make
sh NVIDIA-Linux-x86_64-$DRIVER_VERSION.run -s
nvidia-smi
curl https://get.docker.com | sh && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt-get update
apt-get install -y nvidia-docker2 unzip zip
systemctl restart docker

# 418.226.00-5.4.0-1071-aws
cat >> gpu.sh <<\EOF
set -x
BASE_URL=https://us.download.nvidia.com/tesla
DRIVER_VERSION=418.226.00
curl -fSsl -O $BASE_URL/$DRIVER_VERSION/NVIDIA-Linux-x86_64-$DRIVER_VERSION.run
apt update
apt install -y gcc make
sh NVIDIA-Linux-x86_64-$DRIVER_VERSION.run -s
nvidia-smi
curl https://get.docker.com | sh && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt-get update
apt-get install -y nvidia-docker2 unzip zip
systemctl restart docker
sleep 3s
# 好像有快一点点
# 2022-06-11 16:21:28.572681: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 305283878 microseconds.

# g4ad.8xlarge-ubuntu20.04-5.13.0-1022-aws测试
BASE_URL=https://us.download.nvidia.com/tesla
DRIVER_VERSION=470.129.06
curl -fSsl -O $BASE_URL/$DRIVER_VERSION/NVIDIA-Linux-x86_64-$DRIVER_VERSION.run
apt update
apt install -y gcc make
sh NVIDIA-Linux-x86_64-$DRIVER_VERSION.run -s
nvidia-smi
curl https://get.docker.com | sh && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt-get update
apt-get install -y nvidia-docker2 unzip zip
systemctl restart docker
docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi

nvidia-docker run --rm -d runzhliu/dp-query:0.2.7 &

# g4dn-470.129.06-ubuntu20.04-5.13.0-1022-aws测试
BASE_URL=https://us.download.nvidia.com/tesla
DRIVER_VERSION=470.129.06
curl -fSsl -O $BASE_URL/$DRIVER_VERSION/NVIDIA-Linux-x86_64-$DRIVER_VERSION.run
apt update
apt install -y gcc make
sh NVIDIA-Linux-x86_64-$DRIVER_VERSION.run -s
nvidia-smi
curl https://get.docker.com | sh && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt-get update
apt-get install -y nvidia-docker2 unzip zip
systemctl restart docker
docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi

nvidia-docker run --rm -d runzhliu/dp-query:0.2.7 &
docker ps |grep -i dp-query|awk '{print $1}' |xargs docker logs -f
docker ps|grep -iE "dp-query|serving" | awk '{print $1}' | xargs docker stop
# 2022-06-11 03:10:40.461147: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 352077906 microseconds.

# ubuntu20.04测试
BASE_URL=https://us.download.nvidia.com/tesla
DRIVER_VERSION=515.48.07
curl -fSsl -O $BASE_URL/$DRIVER_VERSION/NVIDIA-Linux-x86_64-$DRIVER_VERSION.run
apt update
apt install -y gcc make
sh NVIDIA-Linux-x86_64-$DRIVER_VERSION.run -s
nvidia-smi
curl https://get.docker.com | sh && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt-get update
apt-get install -y nvidia-docker2 unzip zip
systemctl restart docker
docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi
# 2022-06-11 01:35:36.323103: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 357438670 microseconds.

# ubuntu18.04测试
BASE_URL=https://us.download.nvidia.com/tesla
DRIVER_VERSION=440.118.02
curl -fSsl -O $BASE_URL/$DRIVER_VERSION/NVIDIA-Linux-x86_64-$DRIVER_VERSION.run
apt update
apt install -y gcc make
sh NVIDIA-Linux-x86_64-$DRIVER_VERSION.run -s
nvidia-smi
curl https://get.docker.com | sh && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt-get update
apt-get install -y nvidia-docker2 unzip zip
systemctl restart docker
docker run --rm --gpus all nvidia/cuda:10.2-base-ubuntu18.04 nvidia-smi
nvidia-docker run --rm -d runzhliu/dp-query:0.2.7 &
# 2022-06-11 01:52:07.674026: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 313128848 microseconds.

# g5.xlarge-ubuntu20.04-5.13.0-1022-aws-A10G-515.48.07
BASE_URL=https://us.download.nvidia.com/tesla
DRIVER_VERSION=515.48.07
curl -fSsl -O $BASE_URL/$DRIVER_VERSION/NVIDIA-Linux-x86_64-$DRIVER_VERSION.run
apt update
apt install -y gcc make
sh NVIDIA-Linux-x86_64-$DRIVER_VERSION.run -s
nvidia-smi
curl https://get.docker.com | sh && sudo systemctl --now enable docker
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt-get update
apt-get install -y nvidia-docker2 unzip zip
systemctl restart docker
nvidia-docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi

nvidia-docker run --rm -d runzhliu/dp-query:0.2.7 &
docker ps |grep -i dp-query|awk '{print $1}' |xargs docker logs -f
docker ps|grep -iE "dp-query|serving" | awk '{print $1}' | xargs docker stop
# 2022-06-11 02:16:06.163269: I tensorflow/cc/saved_model/loader.cc:311] SavedModel load for tags { serve }; Status: success. Took 375215857 microseconds.

wget https://github.com/tensorflow/serving/archive/refs/tags/1.15.0.zip
unzip 1.15.0
VERSION=1.15.0
TESTDATA="$(pwd)/serving-$VERSION/tensorflow_serving/servables/tensorflow/testdata"
nvidia-docker run -t --rm -p 8501:8501 -v "$TESTDATA/saved_model_half_plus_two_gpu:/models/half_plus_two_gpu" -e MODEL_NAME=half_plus_two_gpu tensorflow/serving:"$VERSION"-gpu &


nvidia-docker run --rm -d -e TF_CPP_MIN_VLOG_LEVEL=1 runzhliu/dp-query:0.2.7 &
nvidia-docker run --rm -d runzhliu/dp-query:0.2.7 &

docker run -t -d --rm -p 8501:8501 -v "$TESTDATA/saved_model_half_plus_two_gpu:/models/half_plus_two_gpu" -e MODEL_NAME=half_plus_two_gpu -e TF_CPP_MIN_VLOG_LEVEL=1 harbor.fql.com/middleware/serving:"$VERSION"-gpu &

docker ps |grep -i dp-query|awk '{print $1}' |xargs docker logs -f
docker ps|grep -iE "dp-query|serving" | awk '{print $1}' | xargs docker stop
警告
本文最后更新于 2017年2月1日，文中内容可能已过时，请谨慎参考。
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目录

NV-docker测试系列

概述
