/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.batch.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *
* The type and amount of a resource to assign to a container. The supported resources include GPU
,
* MEMORY
, and VCPU
.
*
* The quantity of the specified resource to reserve for the container. The values vary based on the
* type
specified.
*
* The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for all * containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched * on. *
** GPUs aren't available for jobs that are running on Fargate resources. *
*
* The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are running on
* EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This
* parameter maps to Memory
in the Create a container section of the Docker Remote API and the --memory
option to docker run. You must specify at least 4 MiB of memory
* for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be
* specified for each node at least once. This parameter maps to Memory
in the Create a container section of the Docker Remote API and the --memory
option to docker run.
*
* If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a * particular instance type, see Memory management in the * Batch User Guide. *
*
* For jobs that are running on Fargate resources, then value
is the hard limit (in MiB), and must
* match one of the supported values and the VCPU
values must be one of the values supported for that
* memory value.
*
* VCPU
= 0.25
*
* VCPU
= 0.25 or 0.5
*
* VCPU
= 0.25, 0.5, or 1
*
* VCPU
= 0.5, or 1
*
* VCPU
= 0.5, 1, or 2
*
* VCPU
= 1 or 2
*
* VCPU
= 1, 2, or 4
*
* VCPU
= 2 or 4
*
* VCPU
= 2, 4, or 8
*
* VCPU
= 4
*
* VCPU
= 4 or 8
*
* VCPU
= 8
*
* VCPU
= 8 or 16
*
* VCPU
= 16
*
* The number of vCPUs reserved for the container. This parameter maps to CpuShares
in the Create a container section of the Docker Remote API and the --cpu-shares
option
* to docker run. Each vCPU is equivalent to 1,024 CPU
* shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several
* places; it must be specified for each node at least once.
*
* The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate * quotas, see Fargate quotas * in the Amazon Web Services General Reference. *
*
* For jobs that are running on Fargate resources, then value
must match one of the supported values
* and the MEMORY
values must be one of the values supported for that VCPU
value. The
* supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
*
* MEMORY
= 512, 1024, or 2048
*
* MEMORY
= 1024, 2048, 3072, or 4096
*
* MEMORY
= 2048, 3072, 4096, 5120, 6144, 7168, or 8192
*
* MEMORY
= 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384
*
* MEMORY
= 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480,
* 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
*
* MEMORY
= 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
*
* MEMORY
= 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880
*
* The type of resource to assign to a container. The supported resources include GPU
,
* MEMORY
, and VCPU
.
*
* The quantity of the specified resource to reserve for the container. The values vary based on the
* type
specified.
*
* The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for all * containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched * on. *
** GPUs aren't available for jobs that are running on Fargate resources. *
*
* The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are running on
* EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This
* parameter maps to Memory
in the Create a container section of the Docker Remote API and the --memory
option to docker run. You must specify at least 4 MiB of memory
* for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be
* specified for each node at least once. This parameter maps to Memory
in the Create a container section of the Docker Remote API and the --memory
option to docker run.
*
* If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a * particular instance type, see Memory management in the * Batch User Guide. *
*
* For jobs that are running on Fargate resources, then value
is the hard limit (in MiB), and must
* match one of the supported values and the VCPU
values must be one of the values supported for that
* memory value.
*
* VCPU
= 0.25
*
* VCPU
= 0.25 or 0.5
*
* VCPU
= 0.25, 0.5, or 1
*
* VCPU
= 0.5, or 1
*
* VCPU
= 0.5, 1, or 2
*
* VCPU
= 1 or 2
*
* VCPU
= 1, 2, or 4
*
* VCPU
= 2 or 4
*
* VCPU
= 2, 4, or 8
*
* VCPU
= 4
*
* VCPU
= 4 or 8
*
* VCPU
= 8
*
* VCPU
= 8 or 16
*
* VCPU
= 16
*
* The number of vCPUs reserved for the container. This parameter maps to CpuShares
in the Create a container section of the Docker Remote API and the --cpu-shares
option
* to docker run. Each vCPU is equivalent to 1,024 CPU
* shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several
* places; it must be specified for each node at least once.
*
* The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate * quotas, see Fargate quotas * in the Amazon Web Services General Reference. *
*
* For jobs that are running on Fargate resources, then value
must match one of the supported values
* and the MEMORY
values must be one of the values supported for that VCPU
value. The
* supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
*
* MEMORY
= 512, 1024, or 2048
*
* MEMORY
= 1024, 2048, 3072, or 4096
*
* MEMORY
= 2048, 3072, 4096, 5120, 6144, 7168, or 8192
*
* MEMORY
= 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384
*
* MEMORY
= 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480,
* 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
*
* MEMORY
= 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
*
* MEMORY
= 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880
*
type
specified.
* * The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for * all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job * is launched on. *
** GPUs aren't available for jobs that are running on Fargate resources. *
*
* The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are
* running on EC2 resources. If your container attempts to exceed the memory specified, the container is
* terminated. This parameter maps to Memory
in the Create a container section of the
* Docker Remote API and the --memory
* option to docker run. You must specify at
* least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node
* parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to
* Memory
in the Create a
* container section of the Docker Remote API and
* the --memory
option to docker
* run.
*
* If you're trying to maximize your resource utilization by providing your jobs as much memory as possible * for a particular instance type, see Memory management in * the Batch User Guide. *
*
* For jobs that are running on Fargate resources, then value
is the hard limit (in MiB), and
* must match one of the supported values and the VCPU
values must be one of the values
* supported for that memory value.
*
* VCPU
= 0.25
*
* VCPU
= 0.25 or 0.5
*
* VCPU
= 0.25, 0.5, or 1
*
* VCPU
= 0.5, or 1
*
* VCPU
= 0.5, 1, or 2
*
* VCPU
= 1 or 2
*
* VCPU
= 1, 2, or 4
*
* VCPU
= 2 or 4
*
* VCPU
= 2, 4, or 8
*
* VCPU
= 4
*
* VCPU
= 4 or 8
*
* VCPU
= 8
*
* VCPU
= 8 or 16
*
* VCPU
= 16
*
* The number of vCPUs reserved for the container. This parameter maps to CpuShares
in the Create a container section of the
* Docker Remote API and the
* --cpu-shares
option to docker
* run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one
* vCPU. This is required but can be specified in several places; it must be specified for each node at least
* once.
*
* The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about * Fargate quotas, see Fargate * quotas in the Amazon Web Services General Reference. *
*
* For jobs that are running on Fargate resources, then value
must match one of the supported
* values and the MEMORY
values must be one of the values supported for that VCPU
* value. The supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
*
* MEMORY
= 512, 1024, or 2048
*
* MEMORY
= 1024, 2048, 3072, or 4096
*
* MEMORY
= 2048, 3072, 4096, 5120, 6144, 7168, or 8192
*
* MEMORY
= 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or
* 16384
*
* MEMORY
= 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456,
* 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
*
* MEMORY
= 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or
* 61440
*
* MEMORY
= 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or
* 122880
*
* The quantity of the specified resource to reserve for the container. The values vary based on the
* type
specified.
*
* The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for all * containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched * on. *
** GPUs aren't available for jobs that are running on Fargate resources. *
*
* The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are running on
* EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This
* parameter maps to Memory
in the Create a container section of the Docker Remote API and the --memory
option to docker run. You must specify at least 4 MiB of memory
* for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be
* specified for each node at least once. This parameter maps to Memory
in the Create a container section of the Docker Remote API and the --memory
option to docker run.
*
* If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a * particular instance type, see Memory management in the * Batch User Guide. *
*
* For jobs that are running on Fargate resources, then value
is the hard limit (in MiB), and must
* match one of the supported values and the VCPU
values must be one of the values supported for that
* memory value.
*
* VCPU
= 0.25
*
* VCPU
= 0.25 or 0.5
*
* VCPU
= 0.25, 0.5, or 1
*
* VCPU
= 0.5, or 1
*
* VCPU
= 0.5, 1, or 2
*
* VCPU
= 1 or 2
*
* VCPU
= 1, 2, or 4
*
* VCPU
= 2 or 4
*
* VCPU
= 2, 4, or 8
*
* VCPU
= 4
*
* VCPU
= 4 or 8
*
* VCPU
= 8
*
* VCPU
= 8 or 16
*
* VCPU
= 16
*
* The number of vCPUs reserved for the container. This parameter maps to CpuShares
in the Create a container section of the Docker Remote API and the --cpu-shares
option
* to docker run. Each vCPU is equivalent to 1,024 CPU
* shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several
* places; it must be specified for each node at least once.
*
* The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate * quotas, see Fargate quotas * in the Amazon Web Services General Reference. *
*
* For jobs that are running on Fargate resources, then value
must match one of the supported values
* and the MEMORY
values must be one of the values supported for that VCPU
value. The
* supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
*
* MEMORY
= 512, 1024, or 2048
*
* MEMORY
= 1024, 2048, 3072, or 4096
*
* MEMORY
= 2048, 3072, 4096, 5120, 6144, 7168, or 8192
*
* MEMORY
= 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384
*
* MEMORY
= 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480,
* 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
*
* MEMORY
= 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
*
* MEMORY
= 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880
*
type
specified.
* * The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for * all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job * is launched on. *
** GPUs aren't available for jobs that are running on Fargate resources. *
*
* The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are
* running on EC2 resources. If your container attempts to exceed the memory specified, the container is
* terminated. This parameter maps to Memory
in the Create a container section of the
* Docker Remote API and the --memory
* option to docker run. You must specify at
* least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node
* parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to
* Memory
in the Create
* a container section of the Docker Remote API
* and the --memory
option to docker
* run.
*
* If you're trying to maximize your resource utilization by providing your jobs as much memory as possible * for a particular instance type, see Memory management in * the Batch User Guide. *
*
* For jobs that are running on Fargate resources, then value
is the hard limit (in MiB), and
* must match one of the supported values and the VCPU
values must be one of the values
* supported for that memory value.
*
* VCPU
= 0.25
*
* VCPU
= 0.25 or 0.5
*
* VCPU
= 0.25, 0.5, or 1
*
* VCPU
= 0.5, or 1
*
* VCPU
= 0.5, 1, or 2
*
* VCPU
= 1 or 2
*
* VCPU
= 1, 2, or 4
*
* VCPU
= 2 or 4
*
* VCPU
= 2, 4, or 8
*
* VCPU
= 4
*
* VCPU
= 4 or 8
*
* VCPU
= 8
*
* VCPU
= 8 or 16
*
* VCPU
= 16
*
* The number of vCPUs reserved for the container. This parameter maps to CpuShares
in the Create a container section of the
* Docker Remote API and the
* --cpu-shares
option to docker
* run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one
* vCPU. This is required but can be specified in several places; it must be specified for each node at
* least once.
*
* The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about * Fargate quotas, see Fargate * quotas in the Amazon Web Services General Reference. *
*
* For jobs that are running on Fargate resources, then value
must match one of the supported
* values and the MEMORY
values must be one of the values supported for that VCPU
* value. The supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
*
* MEMORY
= 512, 1024, or 2048
*
* MEMORY
= 1024, 2048, 3072, or 4096
*
* MEMORY
= 2048, 3072, 4096, 5120, 6144, 7168, or 8192
*
* MEMORY
= 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or
* 16384
*
* MEMORY
= 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456,
* 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
*
* MEMORY
= 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or
* 61440
*
* MEMORY
= 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or
* 122880
*
* The quantity of the specified resource to reserve for the container. The values vary based on the
* type
specified.
*
* The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for all * containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched * on. *
** GPUs aren't available for jobs that are running on Fargate resources. *
*
* The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are running on
* EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This
* parameter maps to Memory
in the Create a container section of the Docker Remote API and the --memory
option to docker run. You must specify at least 4 MiB of memory
* for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be
* specified for each node at least once. This parameter maps to Memory
in the Create a container section of the Docker Remote API and the --memory
option to docker run.
*
* If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a * particular instance type, see Memory management in the * Batch User Guide. *
*
* For jobs that are running on Fargate resources, then value
is the hard limit (in MiB), and must
* match one of the supported values and the VCPU
values must be one of the values supported for that
* memory value.
*
* VCPU
= 0.25
*
* VCPU
= 0.25 or 0.5
*
* VCPU
= 0.25, 0.5, or 1
*
* VCPU
= 0.5, or 1
*
* VCPU
= 0.5, 1, or 2
*
* VCPU
= 1 or 2
*
* VCPU
= 1, 2, or 4
*
* VCPU
= 2 or 4
*
* VCPU
= 2, 4, or 8
*
* VCPU
= 4
*
* VCPU
= 4 or 8
*
* VCPU
= 8
*
* VCPU
= 8 or 16
*
* VCPU
= 16
*
* The number of vCPUs reserved for the container. This parameter maps to CpuShares
in the Create a container section of the Docker Remote API and the --cpu-shares
option
* to docker run. Each vCPU is equivalent to 1,024 CPU
* shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several
* places; it must be specified for each node at least once.
*
* The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate * quotas, see Fargate quotas * in the Amazon Web Services General Reference. *
*
* For jobs that are running on Fargate resources, then value
must match one of the supported values
* and the MEMORY
values must be one of the values supported for that VCPU
value. The
* supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
*
* MEMORY
= 512, 1024, or 2048
*
* MEMORY
= 1024, 2048, 3072, or 4096
*
* MEMORY
= 2048, 3072, 4096, 5120, 6144, 7168, or 8192
*
* MEMORY
= 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384
*
* MEMORY
= 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480,
* 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
*
* MEMORY
= 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
*
* MEMORY
= 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880
*
type
specified.
* * The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for * all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job * is launched on. *
** GPUs aren't available for jobs that are running on Fargate resources. *
*
* The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are
* running on EC2 resources. If your container attempts to exceed the memory specified, the container is
* terminated. This parameter maps to Memory
in the Create a container section of the
* Docker Remote API and the --memory
* option to docker run. You must specify at
* least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node
* parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to
* Memory
in the Create a
* container section of the Docker Remote API and
* the --memory
option to docker
* run.
*
* If you're trying to maximize your resource utilization by providing your jobs as much memory as possible * for a particular instance type, see Memory management in * the Batch User Guide. *
*
* For jobs that are running on Fargate resources, then value
is the hard limit (in MiB), and
* must match one of the supported values and the VCPU
values must be one of the values
* supported for that memory value.
*
* VCPU
= 0.25
*
* VCPU
= 0.25 or 0.5
*
* VCPU
= 0.25, 0.5, or 1
*
* VCPU
= 0.5, or 1
*
* VCPU
= 0.5, 1, or 2
*
* VCPU
= 1 or 2
*
* VCPU
= 1, 2, or 4
*
* VCPU
= 2 or 4
*
* VCPU
= 2, 4, or 8
*
* VCPU
= 4
*
* VCPU
= 4 or 8
*
* VCPU
= 8
*
* VCPU
= 8 or 16
*
* VCPU
= 16
*
* The number of vCPUs reserved for the container. This parameter maps to CpuShares
in the Create a container section of the
* Docker Remote API and the
* --cpu-shares
option to docker
* run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one
* vCPU. This is required but can be specified in several places; it must be specified for each node at least
* once.
*
* The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about * Fargate quotas, see Fargate * quotas in the Amazon Web Services General Reference. *
*
* For jobs that are running on Fargate resources, then value
must match one of the supported
* values and the MEMORY
values must be one of the values supported for that VCPU
* value. The supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
*
* MEMORY
= 512, 1024, or 2048
*
* MEMORY
= 1024, 2048, 3072, or 4096
*
* MEMORY
= 2048, 3072, 4096, 5120, 6144, 7168, or 8192
*
* MEMORY
= 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or
* 16384
*
* MEMORY
= 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456,
* 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
*
* MEMORY
= 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or
* 61440
*
* MEMORY
= 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or
* 122880
*
* The type of resource to assign to a container. The supported resources include GPU
,
* MEMORY
, and VCPU
.
*
GPU
,
* MEMORY
, and VCPU
.
* @see ResourceType
*/
public void setType(String type) {
this.type = type;
}
/**
*
* The type of resource to assign to a container. The supported resources include GPU
,
* MEMORY
, and VCPU
.
*
GPU
,
* MEMORY
, and VCPU
.
* @see ResourceType
*/
public String getType() {
return this.type;
}
/**
*
* The type of resource to assign to a container. The supported resources include GPU
,
* MEMORY
, and VCPU
.
*
GPU
,
* MEMORY
, and VCPU
.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ResourceType
*/
public ResourceRequirement withType(String type) {
setType(type);
return this;
}
/**
*
* The type of resource to assign to a container. The supported resources include GPU
,
* MEMORY
, and VCPU
.
*
GPU
,
* MEMORY
, and VCPU
.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ResourceType
*/
public ResourceRequirement withType(ResourceType type) {
this.type = type.toString();
return this;
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getValue() != null)
sb.append("Value: ").append(getValue()).append(",");
if (getType() != null)
sb.append("Type: ").append(getType());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof ResourceRequirement == false)
return false;
ResourceRequirement other = (ResourceRequirement) obj;
if (other.getValue() == null ^ this.getValue() == null)
return false;
if (other.getValue() != null && other.getValue().equals(this.getValue()) == false)
return false;
if (other.getType() == null ^ this.getType() == null)
return false;
if (other.getType() != null && other.getType().equals(this.getType()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getValue() == null) ? 0 : getValue().hashCode());
hashCode = prime * hashCode + ((getType() == null) ? 0 : getType().hashCode());
return hashCode;
}
@Override
public ResourceRequirement clone() {
try {
return (ResourceRequirement) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.batch.model.transform.ResourceRequirementMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}