GPUOptions.Builder (tensorflow-serving-client 2.0 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite.Builder
- - com.google.protobuf.AbstractMessage.Builder<BuilderType>
  - - com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
    - - org.tensorflow.framework.GPUOptions.Builder

All Implemented Interfaces:

com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable, GPUOptionsOrBuilder

Enclosing class:

GPUOptions
```
public static final class GPUOptions.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
implements GPUOptionsOrBuilder
```
Protobuf type tensorflow.GPUOptions

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`GPUOptions.Builder`	`addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)`
`GPUOptions`	`build()`
`GPUOptions`	`buildPartial()`
`GPUOptions.Builder`	`clear()`
`GPUOptions.Builder`	`clearAllocatorType()` The type of GPU allocation strategy to use.
`GPUOptions.Builder`	`clearAllowGrowth()` If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
`GPUOptions.Builder`	`clearDeferredDeletionBytes()` Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
`GPUOptions.Builder`	`clearExperimental()` Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
`GPUOptions.Builder`	`clearField(com.google.protobuf.Descriptors.FieldDescriptor field)`
`GPUOptions.Builder`	`clearForceGpuCompatible()` Force all tensors to be gpu_compatible.
`GPUOptions.Builder`	`clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)`
`GPUOptions.Builder`	`clearPerProcessGpuMemoryFraction()` Fraction of the available GPU memory to allocate for each process.
`GPUOptions.Builder`	`clearPollingActiveDelayUsecs()` In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
`GPUOptions.Builder`	`clearPollingInactiveDelayMsecs()` This field is deprecated and ignored.
`GPUOptions.Builder`	`clearVisibleDeviceList()` A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
`GPUOptions.Builder`	`clone()`
`java.lang.String`	`getAllocatorType()` The type of GPU allocation strategy to use.
`com.google.protobuf.ByteString`	`getAllocatorTypeBytes()` The type of GPU allocation strategy to use.
`boolean`	`getAllowGrowth()` If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
`GPUOptions`	`getDefaultInstanceForType()`
`long`	`getDeferredDeletionBytes()` Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
`static com.google.protobuf.Descriptors.Descriptor`	`getDescriptor()`
`com.google.protobuf.Descriptors.Descriptor`	`getDescriptorForType()`
`GPUOptions.Experimental`	`getExperimental()` Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
`GPUOptions.Experimental.Builder`	`getExperimentalBuilder()` Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
`GPUOptions.ExperimentalOrBuilder`	`getExperimentalOrBuilder()` Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
`boolean`	`getForceGpuCompatible()` Force all tensors to be gpu_compatible.
`double`	`getPerProcessGpuMemoryFraction()` Fraction of the available GPU memory to allocate for each process.
`int`	`getPollingActiveDelayUsecs()` In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
`int`	`getPollingInactiveDelayMsecs()` This field is deprecated and ignored.
`java.lang.String`	`getVisibleDeviceList()` A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
`com.google.protobuf.ByteString`	`getVisibleDeviceListBytes()` A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
`boolean`	`hasExperimental()` Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
`protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable`	`internalGetFieldAccessorTable()`
`boolean`	`isInitialized()`
`GPUOptions.Builder`	`mergeExperimental(GPUOptions.Experimental value)` Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
`GPUOptions.Builder`	`mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`GPUOptions.Builder`	`mergeFrom(GPUOptions other)`
`GPUOptions.Builder`	`mergeFrom(com.google.protobuf.Message other)`
`GPUOptions.Builder`	`mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)`
`GPUOptions.Builder`	`setAllocatorType(java.lang.String value)` The type of GPU allocation strategy to use.
`GPUOptions.Builder`	`setAllocatorTypeBytes(com.google.protobuf.ByteString value)` The type of GPU allocation strategy to use.
`GPUOptions.Builder`	`setAllowGrowth(boolean value)` If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
`GPUOptions.Builder`	`setDeferredDeletionBytes(long value)` Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
`GPUOptions.Builder`	`setExperimental(GPUOptions.Experimental.Builder builderForValue)` Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
`GPUOptions.Builder`	`setExperimental(GPUOptions.Experimental value)` Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
`GPUOptions.Builder`	`setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)`
`GPUOptions.Builder`	`setForceGpuCompatible(boolean value)` Force all tensors to be gpu_compatible.
`GPUOptions.Builder`	`setPerProcessGpuMemoryFraction(double value)` Fraction of the available GPU memory to allocate for each process.
`GPUOptions.Builder`	`setPollingActiveDelayUsecs(int value)` In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
`GPUOptions.Builder`	`setPollingInactiveDelayMsecs(int value)` This field is deprecated and ignored.
`GPUOptions.Builder`	`setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)`
`GPUOptions.Builder`	`setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)`
`GPUOptions.Builder`	`setVisibleDeviceList(java.lang.String value)` A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
`GPUOptions.Builder`	`setVisibleDeviceListBytes(com.google.protobuf.ByteString value)` A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLite.Builder
mergeFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable
```
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
```
Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

clear
```
public GPUOptions.Builder clear()
```
Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

getDescriptorForType
```
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
```
Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

getDefaultInstanceForType
```
public GPUOptions getDefaultInstanceForType()
```
Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build
```
public GPUOptions build()
```
Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial
```
public GPUOptions buildPartial()
```
Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone
```
public GPUOptions.Builder clone()
```
Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

setField
```
public GPUOptions.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                   java.lang.Object value)
```
Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

clearField
```
public GPUOptions.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
```
Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

clearOneof
```
public GPUOptions.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
```
Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

setRepeatedField

public GPUOptions.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                           int index,
                                           java.lang.Object value)

Specified by:: setRepeatedField in interface com.google.protobuf.Message.Builder
Overrides:: setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

addRepeatedField
```
public GPUOptions.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                           java.lang.Object value)
```
Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

mergeFrom
```
public GPUOptions.Builder mergeFrom(com.google.protobuf.Message other)
```
Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<GPUOptions.Builder>

mergeFrom

public GPUOptions.Builder mergeFrom(GPUOptions other)

isInitialized
```
public final boolean isInitialized()
```
Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>

mergeFrom
```
public GPUOptions.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                    com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                             throws java.io.IOException
```
Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<GPUOptions.Builder>

Throws:

java.io.IOException

getPerProcessGpuMemoryFraction

public double getPerProcessGpuMemoryFraction()

 Fraction of the available GPU memory to allocate for each process.
 1 means to allocate all of the GPU memory, 0.5 means the process
 allocates up to ~50% of the available GPU memory.
 GPU memory is pre-allocated unless the allow_growth option is enabled.
 If greater than 1.0, uses CUDA unified memory to potentially oversubscribe
 the amount of memory available on the GPU device by using host memory as a
 swap space. Accessing memory not available on the device will be
 significantly slower as that would require memory transfer between the host
 and the device. Options to reduce the memory requirement should be
 considered before enabling this option as this may come with a negative
 performance impact. Oversubscription using the unified memory requires
 Pascal class or newer GPUs and it is currently only supported on the Linux
 operating system. See
 https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#um-requirements
 for the detailed requirements.

double per_process_gpu_memory_fraction = 1;

Specified by:: getPerProcessGpuMemoryFraction in interface GPUOptionsOrBuilder
Returns:: The perProcessGpuMemoryFraction.

setPerProcessGpuMemoryFraction

public GPUOptions.Builder setPerProcessGpuMemoryFraction(double value)

 Fraction of the available GPU memory to allocate for each process.
 1 means to allocate all of the GPU memory, 0.5 means the process
 allocates up to ~50% of the available GPU memory.
 GPU memory is pre-allocated unless the allow_growth option is enabled.
 If greater than 1.0, uses CUDA unified memory to potentially oversubscribe
 the amount of memory available on the GPU device by using host memory as a
 swap space. Accessing memory not available on the device will be
 significantly slower as that would require memory transfer between the host
 and the device. Options to reduce the memory requirement should be
 considered before enabling this option as this may come with a negative
 performance impact. Oversubscription using the unified memory requires
 Pascal class or newer GPUs and it is currently only supported on the Linux
 operating system. See
 https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#um-requirements
 for the detailed requirements.

double per_process_gpu_memory_fraction = 1;

Parameters:: value - The perProcessGpuMemoryFraction to set.
Returns:: This builder for chaining.

clearPerProcessGpuMemoryFraction

public GPUOptions.Builder clearPerProcessGpuMemoryFraction()

 Fraction of the available GPU memory to allocate for each process.
 1 means to allocate all of the GPU memory, 0.5 means the process
 allocates up to ~50% of the available GPU memory.
 GPU memory is pre-allocated unless the allow_growth option is enabled.
 If greater than 1.0, uses CUDA unified memory to potentially oversubscribe
 the amount of memory available on the GPU device by using host memory as a
 swap space. Accessing memory not available on the device will be
 significantly slower as that would require memory transfer between the host
 and the device. Options to reduce the memory requirement should be
 considered before enabling this option as this may come with a negative
 performance impact. Oversubscription using the unified memory requires
 Pascal class or newer GPUs and it is currently only supported on the Linux
 operating system. See
 https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#um-requirements
 for the detailed requirements.

double per_process_gpu_memory_fraction = 1;

Returns:: This builder for chaining.

getAllowGrowth

public boolean getAllowGrowth()

 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.

bool allow_growth = 4;

Specified by:: getAllowGrowth in interface GPUOptionsOrBuilder
Returns:: The allowGrowth.

setAllowGrowth

public GPUOptions.Builder setAllowGrowth(boolean value)

 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.

bool allow_growth = 4;

Parameters:: value - The allowGrowth to set.
Returns:: This builder for chaining.

clearAllowGrowth

public GPUOptions.Builder clearAllowGrowth()

 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.

bool allow_growth = 4;

Returns:: This builder for chaining.

getAllocatorType

public java.lang.String getAllocatorType()

 The type of GPU allocation strategy to use.
 Allowed values:
 "": The empty string (default) uses a system-chosen default
     which may change over time.
 "BFC": A "Best-fit with coalescing" algorithm, simplified from a
        version of dlmalloc.

string allocator_type = 2;

Specified by:: getAllocatorType in interface GPUOptionsOrBuilder
Returns:: The allocatorType.

getAllocatorTypeBytes

public com.google.protobuf.ByteString getAllocatorTypeBytes()

 The type of GPU allocation strategy to use.
 Allowed values:
 "": The empty string (default) uses a system-chosen default
     which may change over time.
 "BFC": A "Best-fit with coalescing" algorithm, simplified from a
        version of dlmalloc.

string allocator_type = 2;

Specified by:: getAllocatorTypeBytes in interface GPUOptionsOrBuilder
Returns:: The bytes for allocatorType.

setAllocatorType

public GPUOptions.Builder setAllocatorType(java.lang.String value)

 The type of GPU allocation strategy to use.
 Allowed values:
 "": The empty string (default) uses a system-chosen default
     which may change over time.
 "BFC": A "Best-fit with coalescing" algorithm, simplified from a
        version of dlmalloc.

string allocator_type = 2;

Parameters:: value - The allocatorType to set.
Returns:: This builder for chaining.

clearAllocatorType

public GPUOptions.Builder clearAllocatorType()

 The type of GPU allocation strategy to use.
 Allowed values:
 "": The empty string (default) uses a system-chosen default
     which may change over time.
 "BFC": A "Best-fit with coalescing" algorithm, simplified from a
        version of dlmalloc.

string allocator_type = 2;

Returns:: This builder for chaining.

setAllocatorTypeBytes

public GPUOptions.Builder setAllocatorTypeBytes(com.google.protobuf.ByteString value)

 The type of GPU allocation strategy to use.
 Allowed values:
 "": The empty string (default) uses a system-chosen default
     which may change over time.
 "BFC": A "Best-fit with coalescing" algorithm, simplified from a
        version of dlmalloc.

string allocator_type = 2;

Parameters:: value - The bytes for allocatorType to set.
Returns:: This builder for chaining.

getDeferredDeletionBytes

public long getDeferredDeletionBytes()

 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.  If 0, the system chooses
 a reasonable default (several MBs).

int64 deferred_deletion_bytes = 3;

Specified by:: getDeferredDeletionBytes in interface GPUOptionsOrBuilder
Returns:: The deferredDeletionBytes.

setDeferredDeletionBytes

public GPUOptions.Builder setDeferredDeletionBytes(long value)

 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.  If 0, the system chooses
 a reasonable default (several MBs).

int64 deferred_deletion_bytes = 3;

Parameters:: value - The deferredDeletionBytes to set.
Returns:: This builder for chaining.

clearDeferredDeletionBytes

public GPUOptions.Builder clearDeferredDeletionBytes()

 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.  If 0, the system chooses
 a reasonable default (several MBs).

int64 deferred_deletion_bytes = 3;

Returns:: This builder for chaining.

getVisibleDeviceList

public java.lang.String getVisibleDeviceList()

 A comma-separated list of GPU ids that determines the 'visible'
 to 'virtual' mapping of GPU devices.  For example, if TensorFlow
 can see 8 GPU devices in the process, and one wanted to map
 visible GPU devices 5 and 3 as "/device:GPU:0", and "/device:GPU:1",
 then one would specify this field as "5,3".  This field is similar in
 spirit to the CUDA_VISIBLE_DEVICES environment variable, except
 it applies to the visible GPU devices in the process.
 NOTE:
 1. The GPU driver provides the process with the visible GPUs
    in an order which is not guaranteed to have any correlation to
    the *physical* GPU id in the machine.  This field is used for
    remapping "visible" to "virtual", which means this operates only
    after the process starts.  Users are required to use vendor
    specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the
    physical to visible device mapping prior to invoking TensorFlow.
 2. In the code, the ids in this list are also called "platform GPU id"s,
    and the 'virtual' ids of GPU devices (i.e. the ids in the device
    name "/device:GPU:<id>") are also called "TF GPU id"s. Please
    refer to third_party/tensorflow/core/common_runtime/gpu/gpu_id.h
    for more information.

string visible_device_list = 5;

Specified by:: getVisibleDeviceList in interface GPUOptionsOrBuilder
Returns:: The visibleDeviceList.

getVisibleDeviceListBytes

public com.google.protobuf.ByteString getVisibleDeviceListBytes()

 A comma-separated list of GPU ids that determines the 'visible'
 to 'virtual' mapping of GPU devices.  For example, if TensorFlow
 can see 8 GPU devices in the process, and one wanted to map
 visible GPU devices 5 and 3 as "/device:GPU:0", and "/device:GPU:1",
 then one would specify this field as "5,3".  This field is similar in
 spirit to the CUDA_VISIBLE_DEVICES environment variable, except
 it applies to the visible GPU devices in the process.
 NOTE:
 1. The GPU driver provides the process with the visible GPUs
    in an order which is not guaranteed to have any correlation to
    the *physical* GPU id in the machine.  This field is used for
    remapping "visible" to "virtual", which means this operates only
    after the process starts.  Users are required to use vendor
    specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the
    physical to visible device mapping prior to invoking TensorFlow.
 2. In the code, the ids in this list are also called "platform GPU id"s,
    and the 'virtual' ids of GPU devices (i.e. the ids in the device
    name "/device:GPU:<id>") are also called "TF GPU id"s. Please
    refer to third_party/tensorflow/core/common_runtime/gpu/gpu_id.h
    for more information.

string visible_device_list = 5;

Specified by:: getVisibleDeviceListBytes in interface GPUOptionsOrBuilder
Returns:: The bytes for visibleDeviceList.

setVisibleDeviceList

public GPUOptions.Builder setVisibleDeviceList(java.lang.String value)

 A comma-separated list of GPU ids that determines the 'visible'
 to 'virtual' mapping of GPU devices.  For example, if TensorFlow
 can see 8 GPU devices in the process, and one wanted to map
 visible GPU devices 5 and 3 as "/device:GPU:0", and "/device:GPU:1",
 then one would specify this field as "5,3".  This field is similar in
 spirit to the CUDA_VISIBLE_DEVICES environment variable, except
 it applies to the visible GPU devices in the process.
 NOTE:
 1. The GPU driver provides the process with the visible GPUs
    in an order which is not guaranteed to have any correlation to
    the *physical* GPU id in the machine.  This field is used for
    remapping "visible" to "virtual", which means this operates only
    after the process starts.  Users are required to use vendor
    specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the
    physical to visible device mapping prior to invoking TensorFlow.
 2. In the code, the ids in this list are also called "platform GPU id"s,
    and the 'virtual' ids of GPU devices (i.e. the ids in the device
    name "/device:GPU:<id>") are also called "TF GPU id"s. Please
    refer to third_party/tensorflow/core/common_runtime/gpu/gpu_id.h
    for more information.

string visible_device_list = 5;

Parameters:: value - The visibleDeviceList to set.
Returns:: This builder for chaining.

clearVisibleDeviceList

public GPUOptions.Builder clearVisibleDeviceList()

 A comma-separated list of GPU ids that determines the 'visible'
 to 'virtual' mapping of GPU devices.  For example, if TensorFlow
 can see 8 GPU devices in the process, and one wanted to map
 visible GPU devices 5 and 3 as "/device:GPU:0", and "/device:GPU:1",
 then one would specify this field as "5,3".  This field is similar in
 spirit to the CUDA_VISIBLE_DEVICES environment variable, except
 it applies to the visible GPU devices in the process.
 NOTE:
 1. The GPU driver provides the process with the visible GPUs
    in an order which is not guaranteed to have any correlation to
    the *physical* GPU id in the machine.  This field is used for
    remapping "visible" to "virtual", which means this operates only
    after the process starts.  Users are required to use vendor
    specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the
    physical to visible device mapping prior to invoking TensorFlow.
 2. In the code, the ids in this list are also called "platform GPU id"s,
    and the 'virtual' ids of GPU devices (i.e. the ids in the device
    name "/device:GPU:<id>") are also called "TF GPU id"s. Please
    refer to third_party/tensorflow/core/common_runtime/gpu/gpu_id.h
    for more information.

string visible_device_list = 5;

Returns:: This builder for chaining.

setVisibleDeviceListBytes

public GPUOptions.Builder setVisibleDeviceListBytes(com.google.protobuf.ByteString value)

 A comma-separated list of GPU ids that determines the 'visible'
 to 'virtual' mapping of GPU devices.  For example, if TensorFlow
 can see 8 GPU devices in the process, and one wanted to map
 visible GPU devices 5 and 3 as "/device:GPU:0", and "/device:GPU:1",
 then one would specify this field as "5,3".  This field is similar in
 spirit to the CUDA_VISIBLE_DEVICES environment variable, except
 it applies to the visible GPU devices in the process.
 NOTE:
 1. The GPU driver provides the process with the visible GPUs
    in an order which is not guaranteed to have any correlation to
    the *physical* GPU id in the machine.  This field is used for
    remapping "visible" to "virtual", which means this operates only
    after the process starts.  Users are required to use vendor
    specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the
    physical to visible device mapping prior to invoking TensorFlow.
 2. In the code, the ids in this list are also called "platform GPU id"s,
    and the 'virtual' ids of GPU devices (i.e. the ids in the device
    name "/device:GPU:<id>") are also called "TF GPU id"s. Please
    refer to third_party/tensorflow/core/common_runtime/gpu/gpu_id.h
    for more information.

string visible_device_list = 5;

Parameters:: value - The bytes for visibleDeviceList to set.
Returns:: This builder for chaining.

getPollingActiveDelayUsecs

public int getPollingActiveDelayUsecs()

 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.  If value is not
 set or set to 0, gets set to a non-zero default.

int32 polling_active_delay_usecs = 6;

Specified by:: getPollingActiveDelayUsecs in interface GPUOptionsOrBuilder
Returns:: The pollingActiveDelayUsecs.

setPollingActiveDelayUsecs

public GPUOptions.Builder setPollingActiveDelayUsecs(int value)

 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.  If value is not
 set or set to 0, gets set to a non-zero default.

int32 polling_active_delay_usecs = 6;

Parameters:: value - The pollingActiveDelayUsecs to set.
Returns:: This builder for chaining.

clearPollingActiveDelayUsecs

public GPUOptions.Builder clearPollingActiveDelayUsecs()

 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.  If value is not
 set or set to 0, gets set to a non-zero default.

int32 polling_active_delay_usecs = 6;

Returns:: This builder for chaining.

getPollingInactiveDelayMsecs
```
public int getPollingInactiveDelayMsecs()
```
```
 This field is deprecated and ignored.
 
```
int32 polling_inactive_delay_msecs = 7;
Specified by:

getPollingInactiveDelayMsecs in interface GPUOptionsOrBuilder

Returns:

The pollingInactiveDelayMsecs.

setPollingInactiveDelayMsecs
```
public GPUOptions.Builder setPollingInactiveDelayMsecs(int value)
```
```
 This field is deprecated and ignored.
 
```
int32 polling_inactive_delay_msecs = 7;
Parameters:

value - The pollingInactiveDelayMsecs to set.

Returns:

This builder for chaining.

clearPollingInactiveDelayMsecs

public GPUOptions.Builder clearPollingInactiveDelayMsecs()

 This field is deprecated and ignored.

int32 polling_inactive_delay_msecs = 7;

Returns:: This builder for chaining.

getForceGpuCompatible

public boolean getForceGpuCompatible()

 Force all tensors to be gpu_compatible. On a GPU-enabled TensorFlow,
 enabling this option forces all CPU tensors to be allocated with Cuda
 pinned memory. Normally, TensorFlow will infer which tensors should be
 allocated as the pinned memory. But in case where the inference is
 incomplete, this option can significantly speed up the cross-device memory
 copy performance as long as it fits the memory.
 Note that this option is not something that should be
 enabled by default for unknown or very large models, since all Cuda pinned
 memory is unpageable, having too much pinned memory might negatively impact
 the overall host system performance.

bool force_gpu_compatible = 8;

Specified by:: getForceGpuCompatible in interface GPUOptionsOrBuilder
Returns:: The forceGpuCompatible.

setForceGpuCompatible

public GPUOptions.Builder setForceGpuCompatible(boolean value)

 Force all tensors to be gpu_compatible. On a GPU-enabled TensorFlow,
 enabling this option forces all CPU tensors to be allocated with Cuda
 pinned memory. Normally, TensorFlow will infer which tensors should be
 allocated as the pinned memory. But in case where the inference is
 incomplete, this option can significantly speed up the cross-device memory
 copy performance as long as it fits the memory.
 Note that this option is not something that should be
 enabled by default for unknown or very large models, since all Cuda pinned
 memory is unpageable, having too much pinned memory might negatively impact
 the overall host system performance.

bool force_gpu_compatible = 8;

Parameters:: value - The forceGpuCompatible to set.
Returns:: This builder for chaining.

clearForceGpuCompatible

public GPUOptions.Builder clearForceGpuCompatible()

 Force all tensors to be gpu_compatible. On a GPU-enabled TensorFlow,
 enabling this option forces all CPU tensors to be allocated with Cuda
 pinned memory. Normally, TensorFlow will infer which tensors should be
 allocated as the pinned memory. But in case where the inference is
 incomplete, this option can significantly speed up the cross-device memory
 copy performance as long as it fits the memory.
 Note that this option is not something that should be
 enabled by default for unknown or very large models, since all Cuda pinned
 memory is unpageable, having too much pinned memory might negatively impact
 the overall host system performance.

bool force_gpu_compatible = 8;

Returns:: This builder for chaining.