@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class BatchResourceRequirement extends Object implements Serializable, Cloneable, StructuredPojo
The type and amount of a resource to assign to a container. The supported resources include GPU,
MEMORY, and VCPU.
| Constructor and Description |
|---|
BatchResourceRequirement() |
| Modifier and Type | Method and Description |
|---|---|
BatchResourceRequirement |
clone() |
boolean |
equals(Object obj) |
String |
getType()
The type of resource to assign to a container.
|
String |
getValue()
The quantity of the specified resource to reserve for the container.
|
int |
hashCode() |
void |
marshall(ProtocolMarshaller protocolMarshaller)
Marshalls this structured data using the given
ProtocolMarshaller. |
void |
setType(String type)
The type of resource to assign to a container.
|
void |
setValue(String value)
The quantity of the specified resource to reserve for the container.
|
String |
toString()
Returns a string representation of this object.
|
BatchResourceRequirement |
withType(BatchResourceRequirementType type)
The type of resource to assign to a container.
|
BatchResourceRequirement |
withType(String type)
The type of resource to assign to a container.
|
BatchResourceRequirement |
withValue(String value)
The quantity of the specified resource to reserve for the container.
|
public void setType(String type)
The type of resource to assign to a container. The supported resources include GPU,
MEMORY, and VCPU.
type - The type of resource to assign to a container. The supported resources include GPU,
MEMORY, and VCPU.BatchResourceRequirementTypepublic String getType()
The type of resource to assign to a container. The supported resources include GPU,
MEMORY, and VCPU.
GPU,
MEMORY, and VCPU.BatchResourceRequirementTypepublic BatchResourceRequirement withType(String type)
The type of resource to assign to a container. The supported resources include GPU,
MEMORY, and VCPU.
type - The type of resource to assign to a container. The supported resources include GPU,
MEMORY, and VCPU.BatchResourceRequirementTypepublic BatchResourceRequirement withType(BatchResourceRequirementType type)
The type of resource to assign to a container. The supported resources include GPU,
MEMORY, and VCPU.
type - The type of resource to assign to a container. The supported resources include GPU,
MEMORY, and VCPU.BatchResourceRequirementTypepublic void setValue(String value)
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, 4, or 8
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
value - 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, 4, or 8
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
public String getValue()
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, 4, or 8
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, 4, or 8
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
public BatchResourceRequirement withValue(String value)
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, 4, or 8
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
value - 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, 4, or 8
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
public String toString()
toString in class ObjectObject.toString()public BatchResourceRequirement clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojoProtocolMarshaller.marshall in interface StructuredPojoprotocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.