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/*
* Copyright 2019-2024 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.lookoutforvision.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* The platform on which a model runs on an AWS IoT Greengrass core device.
*
*
* @see AWS API
* Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class TargetPlatform implements Serializable, Cloneable, StructuredPojo {
/**
*
* The target operating system for the model. Linux is the only operating system that is currently supported.
*
*/
private String os;
/**
*
* The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the
* x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
*
*/
private String arch;
/**
*
* The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics
* processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the
* gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an
* accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the
* GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for
* CPU:
*
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
*
*/
private String accelerator;
/**
*
* The target operating system for the model. Linux is the only operating system that is currently supported.
*
*
* @param os
* The target operating system for the model. Linux is the only operating system that is currently supported.
* @see TargetPlatformOs
*/
public void setOs(String os) {
this.os = os;
}
/**
*
* The target operating system for the model. Linux is the only operating system that is currently supported.
*
*
* @return The target operating system for the model. Linux is the only operating system that is currently
* supported.
* @see TargetPlatformOs
*/
public String getOs() {
return this.os;
}
/**
*
* The target operating system for the model. Linux is the only operating system that is currently supported.
*
*
* @param os
* The target operating system for the model. Linux is the only operating system that is currently supported.
* @return Returns a reference to this object so that method calls can be chained together.
* @see TargetPlatformOs
*/
public TargetPlatform withOs(String os) {
setOs(os);
return this;
}
/**
*
* The target operating system for the model. Linux is the only operating system that is currently supported.
*
*
* @param os
* The target operating system for the model. Linux is the only operating system that is currently supported.
* @return Returns a reference to this object so that method calls can be chained together.
* @see TargetPlatformOs
*/
public TargetPlatform withOs(TargetPlatformOs os) {
this.os = os.toString();
return this;
}
/**
*
* The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the
* x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
*
*
* @param arch
* The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of
* the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
* @see TargetPlatformArch
*/
public void setArch(String arch) {
this.arch = arch;
}
/**
*
* The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the
* x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
*
*
* @return The target architecture for the model. The currently supported architectures are X86_64 (64-bit version
* of the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
* @see TargetPlatformArch
*/
public String getArch() {
return this.arch;
}
/**
*
* The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the
* x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
*
*
* @param arch
* The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of
* the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
* @return Returns a reference to this object so that method calls can be chained together.
* @see TargetPlatformArch
*/
public TargetPlatform withArch(String arch) {
setArch(arch);
return this;
}
/**
*
* The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the
* x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
*
*
* @param arch
* The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of
* the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).
* @return Returns a reference to this object so that method calls can be chained together.
* @see TargetPlatformArch
*/
public TargetPlatform withArch(TargetPlatformArch arch) {
this.arch = arch.toString();
return this;
}
/**
*
* The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics
* processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the
* gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an
* accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the
* GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for
* CPU:
*
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
*
*
* @param accelerator
* The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia
* graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also
* specify the gpu-code, trt-ver, and cuda-ver compiler options. If
* you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend
* that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the
* following compiler options for CPU:
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
* @see TargetPlatformAccelerator
*/
public void setAccelerator(String accelerator) {
this.accelerator = accelerator;
}
/**
*
* The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics
* processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the
* gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an
* accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the
* GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for
* CPU:
*
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
*
*
* @return The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia
* graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also
* specify the gpu-code, trt-ver, and cuda-ver compiler options. If
* you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend
* that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the
* following compiler options for CPU:
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
* @see TargetPlatformAccelerator
*/
public String getAccelerator() {
return this.accelerator;
}
/**
*
* The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics
* processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the
* gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an
* accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the
* GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for
* CPU:
*
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
*
*
* @param accelerator
* The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia
* graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also
* specify the gpu-code, trt-ver, and cuda-ver compiler options. If
* you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend
* that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the
* following compiler options for CPU:
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see TargetPlatformAccelerator
*/
public TargetPlatform withAccelerator(String accelerator) {
setAccelerator(accelerator);
return this;
}
/**
*
* The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics
* processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the
* gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an
* accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the
* GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for
* CPU:
*
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
*
*
* @param accelerator
* The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia
* graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also
* specify the gpu-code, trt-ver, and cuda-ver compiler options. If
* you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend
* that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the
* following compiler options for CPU:
*
* -
*
* mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
*
*
* -
*
* mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see TargetPlatformAccelerator
*/
public TargetPlatform withAccelerator(TargetPlatformAccelerator accelerator) {
this.accelerator = accelerator.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 (getOs() != null)
sb.append("Os: ").append(getOs()).append(",");
if (getArch() != null)
sb.append("Arch: ").append(getArch()).append(",");
if (getAccelerator() != null)
sb.append("Accelerator: ").append(getAccelerator());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof TargetPlatform == false)
return false;
TargetPlatform other = (TargetPlatform) obj;
if (other.getOs() == null ^ this.getOs() == null)
return false;
if (other.getOs() != null && other.getOs().equals(this.getOs()) == false)
return false;
if (other.getArch() == null ^ this.getArch() == null)
return false;
if (other.getArch() != null && other.getArch().equals(this.getArch()) == false)
return false;
if (other.getAccelerator() == null ^ this.getAccelerator() == null)
return false;
if (other.getAccelerator() != null && other.getAccelerator().equals(this.getAccelerator()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getOs() == null) ? 0 : getOs().hashCode());
hashCode = prime * hashCode + ((getArch() == null) ? 0 : getArch().hashCode());
hashCode = prime * hashCode + ((getAccelerator() == null) ? 0 : getAccelerator().hashCode());
return hashCode;
}
@Override
public TargetPlatform clone() {
try {
return (TargetPlatform) 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.lookoutforvision.model.transform.TargetPlatformMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}