使用 GPU 工作负载 AMI - Amazon Batch
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使用 GPU 工作负载 AMI

要在您的 Amazon Batch 计算资源上运行 GPU 工作负载，必须使用具有 GPU 支持的 AMI。有关更多信息，请参阅 。在 Amazon ECS 上使用 GPU和Amazon ECS 优化的 AMI在Amazon Elastic Container Service 开发者指南.

在托管计算环境中，如果计算环境指定任何p2、p3、p4、g3、g3s，或者g4实例类型或实例系列，然后Amazon Batch使用亚马逊弹性云服务器 GPU 优化 AMI。

在非托管计算环境中，建议您使用经 Amazon ECS GPU 优化的 AMI。您可以使用Amazon Command Line Interface或者Amazon Systems ManagerParameter StoreGetParameter、GetParameters, 和GetParametersByPath操作来检索建议的 Amazon ECS GPU 优化的 AMI 的元数据。

以下示例演示 GetParameter 的用法。

Amazon CLI
$ aws ssm get-parameter --name /aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended \
                        --region us-east-2 --output json

输出在 Value 参数中包含 AMI 信息。

{
    "Parameter": {
        "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended",
        "LastModifiedDate": 1555434128.664,
        "Value": "{\"schema_version\":1,\"image_name\":\"amzn2-ami-ecs-gpu-hvm-2.0.20190402-x86_64-ebs\",\"image_id\":\"ami-083c800fe4211192f\",\"os\":\"Amazon Linux 2\",\"ecs_runtime_version\":\"Docker version 18.06.1-ce\",\"ecs_agent_version\":\"1.27.0\"}",
        "Version": 9,
        "Type": "String",
        "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended"
    }
}
Python
from __future__ import print_function

import json
import boto3

ssm = boto3.client('ssm', 'us-east-2')

response = ssm.get_parameter(Name='/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended')
jsonVal = json.loads(response['Parameter']['Value'])
print("image_id   = " + jsonVal['image_id'])
print("image_name = " + jsonVal['image_name'])

输出仅包含 AMI ID 和 AMI 名称：

image_id   = ami-083c800fe4211192f
image_name = amzn2-ami-ecs-gpu-hvm-2.0.20190402-x86_64-ebs

以下示例演示 GetParameters 的用法。

Amazon CLI
$ aws ssm get-parameters --names  /aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_name \
                                  /aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_id \
                         --region us-east-2 --output json

输出包含每个参数的完整元数据：

{
    "InvalidParameters": [],
    "Parameters": [
        {
            "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_id",
            "LastModifiedDate": 1555434128.749,
            "Value": "ami-083c800fe4211192f",
            "Version": 9,
            "Type": "String",
            "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_id"
        },
        {
            "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_name",
            "LastModifiedDate": 1555434128.712,
            "Value": "amzn2-ami-ecs-gpu-hvm-2.0.20190402-x86_64-ebs",
            "Version": 9,
            "Type": "String",
            "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_name"
        }
    ]
}
Python
from __future__ import print_function

import boto3

ssm = boto3.client('ssm', 'us-east-2')

response = ssm.get_parameters(
            Names=['/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_name',
                   '/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_id'])
for parameter in response['Parameters']:
    print(parameter['Name'] + " = " + parameter['Value'])

输出包含 AMI ID 和 AMI 名称，使用完整路径名称：

/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_id = ami-083c800fe4211192f
/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_name = amzn2-ami-ecs-gpu-hvm-2.0.20190402-x86_64-ebs

以下示例演示 GetParametersByPath 的用法。

Amazon CLI
$ aws ssm get-parameters-by-path --path /aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended \
                                 --region us-east-2 --output json

输出包含指定路径下的所有参数的完整元数据：

{
    "Parameters": [
        {
            "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/ecs_agent_version",
            "LastModifiedDate": 1555434128.801,
            "Value": "1.27.0",
            "Version": 8,
            "Type": "String",
            "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/ecs_agent_version"
        },
        {
            "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/ecs_runtime_version",
            "LastModifiedDate": 1548368308.213,
            "Value": "Docker version 18.06.1-ce",
            "Version": 1,
            "Type": "String",
            "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/ecs_runtime_version"
        },
        {
            "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_id",
            "LastModifiedDate": 1555434128.749,
            "Value": "ami-083c800fe4211192f",
            "Version": 9,
            "Type": "String",
            "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_id"
        },
        {
            "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_name",
            "LastModifiedDate": 1555434128.712,
            "Value": "amzn2-ami-ecs-gpu-hvm-2.0.20190402-x86_64-ebs",
            "Version": 9,
            "Type": "String",
            "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_name"
        },
        {
            "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/os",
            "LastModifiedDate": 1548368308.143,
            "Value": "Amazon Linux 2",
            "Version": 1,
            "Type": "String",
            "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/os"
        },
        {
            "Name": "/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/schema_version",
            "LastModifiedDate": 1548368307.914,
            "Value": "1",
            "Version": 1,
            "Type": "String",
            "ARN": "arn:aws:ssm:us-east-2::parameter/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/schema_version"
        }
    ]
}
Python
from __future__ import print_function

import boto3

ssm = boto3.client('ssm', 'us-east-2')

response = ssm.get_parameters_by_path(Path='/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended')
for parameter in response['Parameters']:
    print(parameter['Name'] + " = " + parameter['Value'])

输出包含指定路径下的所有参数名称的值，使用完整路径名称：

/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/ecs_agent_version = 1.27.0
/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/ecs_runtime_version = Docker version 18.06.1-ce
/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_id = ami-083c800fe4211192f
/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/image_name = amzn2-ami-ecs-gpu-hvm-2.0.20190402-x86_64-ebs
/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/os = Amazon Linux 2
/aws/service/ecs/optimized-ami/amazon-linux-2/gpu/recommended/schema_version = 1

有关更多信息，请参阅 。检索亚马逊云服务器优化的 AMI 元数据中的Amazon Elastic Container Service 开发者指南.