Package org.platanios.tensorflow.proto
Class GPUOptions.Experimental.Builder
- java.lang.Object
-
- com.google.protobuf.AbstractMessageLite.Builder
-
- com.google.protobuf.AbstractMessage.Builder<BuilderType>
-
- com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
- org.platanios.tensorflow.proto.GPUOptions.Experimental.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
,GPUOptions.ExperimentalOrBuilder
- Enclosing class:
- GPUOptions.Experimental
public static final class GPUOptions.Experimental.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder> implements GPUOptions.ExperimentalOrBuilder
Protobuf typeorg.platanios.tensorflow.proto.GPUOptions.Experimental
-
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description GPUOptions.Experimental.Builder
addAllVirtualDevices(java.lang.Iterable<? extends GPUOptions.Experimental.VirtualDevices> values)
The multi virtual device settings.GPUOptions.Experimental.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
GPUOptions.Experimental.Builder
addVirtualDevices(int index, GPUOptions.Experimental.VirtualDevices value)
The multi virtual device settings.GPUOptions.Experimental.Builder
addVirtualDevices(int index, GPUOptions.Experimental.VirtualDevices.Builder builderForValue)
The multi virtual device settings.GPUOptions.Experimental.Builder
addVirtualDevices(GPUOptions.Experimental.VirtualDevices value)
The multi virtual device settings.GPUOptions.Experimental.Builder
addVirtualDevices(GPUOptions.Experimental.VirtualDevices.Builder builderForValue)
The multi virtual device settings.GPUOptions.Experimental.VirtualDevices.Builder
addVirtualDevicesBuilder()
The multi virtual device settings.GPUOptions.Experimental.VirtualDevices.Builder
addVirtualDevicesBuilder(int index)
The multi virtual device settings.GPUOptions.Experimental
build()
GPUOptions.Experimental
buildPartial()
GPUOptions.Experimental.Builder
clear()
GPUOptions.Experimental.Builder
clearCollectiveRingOrder()
If non-empty, defines a good GPU ring order on a single worker based on device interconnect.GPUOptions.Experimental.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
GPUOptions.Experimental.Builder
clearKernelTrackerMaxBytes()
If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.GPUOptions.Experimental.Builder
clearKernelTrackerMaxInterval()
Parameters for GPUKernelTracker.GPUOptions.Experimental.Builder
clearKernelTrackerMaxPending()
If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.GPUOptions.Experimental.Builder
clearNumDevToDevCopyStreams()
If > 1, the number of device-to-device copy streams to create for each GPUDevice.GPUOptions.Experimental.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
GPUOptions.Experimental.Builder
clearTimestampedAllocator()
If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.GPUOptions.Experimental.Builder
clearUseUnifiedMemory()
If true, uses CUDA unified memory for memory allocations.GPUOptions.Experimental.Builder
clearVirtualDevices()
The multi virtual device settings.GPUOptions.Experimental.Builder
clone()
java.lang.String
getCollectiveRingOrder()
If non-empty, defines a good GPU ring order on a single worker based on device interconnect.com.google.protobuf.ByteString
getCollectiveRingOrderBytes()
If non-empty, defines a good GPU ring order on a single worker based on device interconnect.GPUOptions.Experimental
getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType()
int
getKernelTrackerMaxBytes()
If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.int
getKernelTrackerMaxInterval()
Parameters for GPUKernelTracker.int
getKernelTrackerMaxPending()
If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.int
getNumDevToDevCopyStreams()
If > 1, the number of device-to-device copy streams to create for each GPUDevice.boolean
getTimestampedAllocator()
If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.boolean
getUseUnifiedMemory()
If true, uses CUDA unified memory for memory allocations.GPUOptions.Experimental.VirtualDevices
getVirtualDevices(int index)
The multi virtual device settings.GPUOptions.Experimental.VirtualDevices.Builder
getVirtualDevicesBuilder(int index)
The multi virtual device settings.java.util.List<GPUOptions.Experimental.VirtualDevices.Builder>
getVirtualDevicesBuilderList()
The multi virtual device settings.int
getVirtualDevicesCount()
The multi virtual device settings.java.util.List<GPUOptions.Experimental.VirtualDevices>
getVirtualDevicesList()
The multi virtual device settings.GPUOptions.Experimental.VirtualDevicesOrBuilder
getVirtualDevicesOrBuilder(int index)
The multi virtual device settings.java.util.List<? extends GPUOptions.Experimental.VirtualDevicesOrBuilder>
getVirtualDevicesOrBuilderList()
The multi virtual device settings.protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable()
boolean
isInitialized()
GPUOptions.Experimental.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
GPUOptions.Experimental.Builder
mergeFrom(com.google.protobuf.Message other)
GPUOptions.Experimental.Builder
mergeFrom(GPUOptions.Experimental other)
GPUOptions.Experimental.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
GPUOptions.Experimental.Builder
removeVirtualDevices(int index)
The multi virtual device settings.GPUOptions.Experimental.Builder
setCollectiveRingOrder(java.lang.String value)
If non-empty, defines a good GPU ring order on a single worker based on device interconnect.GPUOptions.Experimental.Builder
setCollectiveRingOrderBytes(com.google.protobuf.ByteString value)
If non-empty, defines a good GPU ring order on a single worker based on device interconnect.GPUOptions.Experimental.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
GPUOptions.Experimental.Builder
setKernelTrackerMaxBytes(int value)
If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.GPUOptions.Experimental.Builder
setKernelTrackerMaxInterval(int value)
Parameters for GPUKernelTracker.GPUOptions.Experimental.Builder
setKernelTrackerMaxPending(int value)
If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.GPUOptions.Experimental.Builder
setNumDevToDevCopyStreams(int value)
If > 1, the number of device-to-device copy streams to create for each GPUDevice.GPUOptions.Experimental.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
GPUOptions.Experimental.Builder
setTimestampedAllocator(boolean value)
If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.GPUOptions.Experimental.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
GPUOptions.Experimental.Builder
setUseUnifiedMemory(boolean value)
If true, uses CUDA unified memory for memory allocations.GPUOptions.Experimental.Builder
setVirtualDevices(int index, GPUOptions.Experimental.VirtualDevices value)
The multi virtual device settings.GPUOptions.Experimental.Builder
setVirtualDevices(int index, GPUOptions.Experimental.VirtualDevices.Builder builderForValue)
The multi virtual device settings.-
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
-
-
-
-
Method Detail
-
getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
-
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
clear
public GPUOptions.Experimental.Builder clear()
- Specified by:
clear
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clear
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clear
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.Message.Builder
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.MessageOrBuilder
- Overrides:
getDescriptorForType
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
getDefaultInstanceForType
public GPUOptions.Experimental getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
-
build
public GPUOptions.Experimental build()
- Specified by:
build
in interfacecom.google.protobuf.Message.Builder
- Specified by:
build
in interfacecom.google.protobuf.MessageLite.Builder
-
buildPartial
public GPUOptions.Experimental buildPartial()
- Specified by:
buildPartial
in interfacecom.google.protobuf.Message.Builder
- Specified by:
buildPartial
in interfacecom.google.protobuf.MessageLite.Builder
-
clone
public GPUOptions.Experimental.Builder clone()
- Specified by:
clone
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clone
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clone
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
setField
public GPUOptions.Experimental.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
- Specified by:
setField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setField
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
clearField
public GPUOptions.Experimental.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
- Specified by:
clearField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearField
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
clearOneof
public GPUOptions.Experimental.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
- Specified by:
clearOneof
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearOneof
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
setRepeatedField
public GPUOptions.Experimental.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
- Specified by:
setRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
addRepeatedField
public GPUOptions.Experimental.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
- Specified by:
addRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
addRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
mergeFrom
public GPUOptions.Experimental.Builder mergeFrom(com.google.protobuf.Message other)
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<GPUOptions.Experimental.Builder>
-
mergeFrom
public GPUOptions.Experimental.Builder mergeFrom(GPUOptions.Experimental other)
-
isInitialized
public final boolean isInitialized()
- Specified by:
isInitialized
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
mergeFrom
public GPUOptions.Experimental.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Specified by:
mergeFrom
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<GPUOptions.Experimental.Builder>
- Throws:
java.io.IOException
-
getVirtualDevicesList
public java.util.List<GPUOptions.Experimental.VirtualDevices> getVirtualDevicesList()
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
- Specified by:
getVirtualDevicesList
in interfaceGPUOptions.ExperimentalOrBuilder
-
getVirtualDevicesCount
public int getVirtualDevicesCount()
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
- Specified by:
getVirtualDevicesCount
in interfaceGPUOptions.ExperimentalOrBuilder
-
getVirtualDevices
public GPUOptions.Experimental.VirtualDevices getVirtualDevices(int index)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
- Specified by:
getVirtualDevices
in interfaceGPUOptions.ExperimentalOrBuilder
-
setVirtualDevices
public GPUOptions.Experimental.Builder setVirtualDevices(int index, GPUOptions.Experimental.VirtualDevices value)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
setVirtualDevices
public GPUOptions.Experimental.Builder setVirtualDevices(int index, GPUOptions.Experimental.VirtualDevices.Builder builderForValue)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
addVirtualDevices
public GPUOptions.Experimental.Builder addVirtualDevices(GPUOptions.Experimental.VirtualDevices value)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
addVirtualDevices
public GPUOptions.Experimental.Builder addVirtualDevices(int index, GPUOptions.Experimental.VirtualDevices value)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
addVirtualDevices
public GPUOptions.Experimental.Builder addVirtualDevices(GPUOptions.Experimental.VirtualDevices.Builder builderForValue)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
addVirtualDevices
public GPUOptions.Experimental.Builder addVirtualDevices(int index, GPUOptions.Experimental.VirtualDevices.Builder builderForValue)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
addAllVirtualDevices
public GPUOptions.Experimental.Builder addAllVirtualDevices(java.lang.Iterable<? extends GPUOptions.Experimental.VirtualDevices> values)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
clearVirtualDevices
public GPUOptions.Experimental.Builder clearVirtualDevices()
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
removeVirtualDevices
public GPUOptions.Experimental.Builder removeVirtualDevices(int index)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
getVirtualDevicesBuilder
public GPUOptions.Experimental.VirtualDevices.Builder getVirtualDevicesBuilder(int index)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
getVirtualDevicesOrBuilder
public GPUOptions.Experimental.VirtualDevicesOrBuilder getVirtualDevicesOrBuilder(int index)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
- Specified by:
getVirtualDevicesOrBuilder
in interfaceGPUOptions.ExperimentalOrBuilder
-
getVirtualDevicesOrBuilderList
public java.util.List<? extends GPUOptions.Experimental.VirtualDevicesOrBuilder> getVirtualDevicesOrBuilderList()
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
- Specified by:
getVirtualDevicesOrBuilderList
in interfaceGPUOptions.ExperimentalOrBuilder
-
addVirtualDevicesBuilder
public GPUOptions.Experimental.VirtualDevices.Builder addVirtualDevicesBuilder()
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
addVirtualDevicesBuilder
public GPUOptions.Experimental.VirtualDevices.Builder addVirtualDevicesBuilder(int index)
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
getVirtualDevicesBuilderList
public java.util.List<GPUOptions.Experimental.VirtualDevices.Builder> getVirtualDevicesBuilderList()
The multi virtual device settings. If empty (not set), it will create single virtual device on each visible GPU, according to the settings in "visible_device_list" above. Otherwise, the number of elements in the list must be the same as the number of visible GPUs (after "visible_device_list" filtering if it is set), and the string represented device names (e.g. /device:GPU:<id>) will refer to the virtual devices and have the <id> field assigned sequentially starting from 0, according to the order they appear in this list and the "memory_limit" list inside each element. For example, visible_device_list = "1,0" virtual_devices { memory_limit: 1GB memory_limit: 2GB } virtual_devices {} will create three virtual devices as: /device:GPU:0 -> visible GPU 1 with 1GB memory /device:GPU:1 -> visible GPU 1 with 2GB memory /device:GPU:2 -> visible GPU 0 with all available memory NOTE: 1. It's invalid to set both this and "per_process_gpu_memory_fraction" at the same time. 2. Currently this setting is per-process, not per-session. Using different settings in different sessions within same process will result in undefined behavior.
repeated .org.platanios.tensorflow.proto.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;
-
getUseUnifiedMemory
public boolean getUseUnifiedMemory()
If true, uses CUDA unified memory for memory allocations. If per_process_gpu_memory_fraction option is greater than 1.0, then unified memory is used regardless of the value for this field. See comments for per_process_gpu_memory_fraction field for more details and requirements of the unified memory. This option is useful to oversubscribe memory if multiple processes are sharing a single GPU while individually using less than 1.0 per process memory fraction.
bool use_unified_memory = 2;
- Specified by:
getUseUnifiedMemory
in interfaceGPUOptions.ExperimentalOrBuilder
- Returns:
- The useUnifiedMemory.
-
setUseUnifiedMemory
public GPUOptions.Experimental.Builder setUseUnifiedMemory(boolean value)
If true, uses CUDA unified memory for memory allocations. If per_process_gpu_memory_fraction option is greater than 1.0, then unified memory is used regardless of the value for this field. See comments for per_process_gpu_memory_fraction field for more details and requirements of the unified memory. This option is useful to oversubscribe memory if multiple processes are sharing a single GPU while individually using less than 1.0 per process memory fraction.
bool use_unified_memory = 2;
- Parameters:
value
- The useUnifiedMemory to set.- Returns:
- This builder for chaining.
-
clearUseUnifiedMemory
public GPUOptions.Experimental.Builder clearUseUnifiedMemory()
If true, uses CUDA unified memory for memory allocations. If per_process_gpu_memory_fraction option is greater than 1.0, then unified memory is used regardless of the value for this field. See comments for per_process_gpu_memory_fraction field for more details and requirements of the unified memory. This option is useful to oversubscribe memory if multiple processes are sharing a single GPU while individually using less than 1.0 per process memory fraction.
bool use_unified_memory = 2;
- Returns:
- This builder for chaining.
-
getNumDevToDevCopyStreams
public int getNumDevToDevCopyStreams()
If > 1, the number of device-to-device copy streams to create for each GPUDevice. Default value is 0, which is automatically converted to 1.
int32 num_dev_to_dev_copy_streams = 3;
- Specified by:
getNumDevToDevCopyStreams
in interfaceGPUOptions.ExperimentalOrBuilder
- Returns:
- The numDevToDevCopyStreams.
-
setNumDevToDevCopyStreams
public GPUOptions.Experimental.Builder setNumDevToDevCopyStreams(int value)
If > 1, the number of device-to-device copy streams to create for each GPUDevice. Default value is 0, which is automatically converted to 1.
int32 num_dev_to_dev_copy_streams = 3;
- Parameters:
value
- The numDevToDevCopyStreams to set.- Returns:
- This builder for chaining.
-
clearNumDevToDevCopyStreams
public GPUOptions.Experimental.Builder clearNumDevToDevCopyStreams()
If > 1, the number of device-to-device copy streams to create for each GPUDevice. Default value is 0, which is automatically converted to 1.
int32 num_dev_to_dev_copy_streams = 3;
- Returns:
- This builder for chaining.
-
getCollectiveRingOrder
public java.lang.String getCollectiveRingOrder()
If non-empty, defines a good GPU ring order on a single worker based on device interconnect. This assumes that all workers have the same GPU topology. Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4". This ring order is used by the RingReducer implementation of CollectiveReduce, and serves as an override to automatic ring order generation in OrderTaskDeviceMap() during CollectiveParam resolution.
string collective_ring_order = 4;
- Specified by:
getCollectiveRingOrder
in interfaceGPUOptions.ExperimentalOrBuilder
- Returns:
- The collectiveRingOrder.
-
getCollectiveRingOrderBytes
public com.google.protobuf.ByteString getCollectiveRingOrderBytes()
If non-empty, defines a good GPU ring order on a single worker based on device interconnect. This assumes that all workers have the same GPU topology. Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4". This ring order is used by the RingReducer implementation of CollectiveReduce, and serves as an override to automatic ring order generation in OrderTaskDeviceMap() during CollectiveParam resolution.
string collective_ring_order = 4;
- Specified by:
getCollectiveRingOrderBytes
in interfaceGPUOptions.ExperimentalOrBuilder
- Returns:
- The bytes for collectiveRingOrder.
-
setCollectiveRingOrder
public GPUOptions.Experimental.Builder setCollectiveRingOrder(java.lang.String value)
If non-empty, defines a good GPU ring order on a single worker based on device interconnect. This assumes that all workers have the same GPU topology. Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4". This ring order is used by the RingReducer implementation of CollectiveReduce, and serves as an override to automatic ring order generation in OrderTaskDeviceMap() during CollectiveParam resolution.
string collective_ring_order = 4;
- Parameters:
value
- The collectiveRingOrder to set.- Returns:
- This builder for chaining.
-
clearCollectiveRingOrder
public GPUOptions.Experimental.Builder clearCollectiveRingOrder()
If non-empty, defines a good GPU ring order on a single worker based on device interconnect. This assumes that all workers have the same GPU topology. Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4". This ring order is used by the RingReducer implementation of CollectiveReduce, and serves as an override to automatic ring order generation in OrderTaskDeviceMap() during CollectiveParam resolution.
string collective_ring_order = 4;
- Returns:
- This builder for chaining.
-
setCollectiveRingOrderBytes
public GPUOptions.Experimental.Builder setCollectiveRingOrderBytes(com.google.protobuf.ByteString value)
If non-empty, defines a good GPU ring order on a single worker based on device interconnect. This assumes that all workers have the same GPU topology. Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4". This ring order is used by the RingReducer implementation of CollectiveReduce, and serves as an override to automatic ring order generation in OrderTaskDeviceMap() during CollectiveParam resolution.
string collective_ring_order = 4;
- Parameters:
value
- The bytes for collectiveRingOrder to set.- Returns:
- This builder for chaining.
-
getTimestampedAllocator
public boolean getTimestampedAllocator()
If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
bool timestamped_allocator = 5;
- Specified by:
getTimestampedAllocator
in interfaceGPUOptions.ExperimentalOrBuilder
- Returns:
- The timestampedAllocator.
-
setTimestampedAllocator
public GPUOptions.Experimental.Builder setTimestampedAllocator(boolean value)
If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
bool timestamped_allocator = 5;
- Parameters:
value
- The timestampedAllocator to set.- Returns:
- This builder for chaining.
-
clearTimestampedAllocator
public GPUOptions.Experimental.Builder clearTimestampedAllocator()
If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
bool timestamped_allocator = 5;
- Returns:
- This builder for chaining.
-
getKernelTrackerMaxInterval
public int getKernelTrackerMaxInterval()
Parameters for GPUKernelTracker. By default no kernel tracking is done. Note that timestamped_allocator is only effective if some tracking is specified. If kernel_tracker_max_interval = n > 0, then a tracking event is inserted after every n kernels without an event.
int32 kernel_tracker_max_interval = 7;
- Specified by:
getKernelTrackerMaxInterval
in interfaceGPUOptions.ExperimentalOrBuilder
- Returns:
- The kernelTrackerMaxInterval.
-
setKernelTrackerMaxInterval
public GPUOptions.Experimental.Builder setKernelTrackerMaxInterval(int value)
Parameters for GPUKernelTracker. By default no kernel tracking is done. Note that timestamped_allocator is only effective if some tracking is specified. If kernel_tracker_max_interval = n > 0, then a tracking event is inserted after every n kernels without an event.
int32 kernel_tracker_max_interval = 7;
- Parameters:
value
- The kernelTrackerMaxInterval to set.- Returns:
- This builder for chaining.
-
clearKernelTrackerMaxInterval
public GPUOptions.Experimental.Builder clearKernelTrackerMaxInterval()
Parameters for GPUKernelTracker. By default no kernel tracking is done. Note that timestamped_allocator is only effective if some tracking is specified. If kernel_tracker_max_interval = n > 0, then a tracking event is inserted after every n kernels without an event.
int32 kernel_tracker_max_interval = 7;
- Returns:
- This builder for chaining.
-
getKernelTrackerMaxBytes
public int getKernelTrackerMaxBytes()
If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n. If one kernel allocates b * n bytes, then one event will be inserted after it, but it will count as b against the pending limit.
int32 kernel_tracker_max_bytes = 8;
- Specified by:
getKernelTrackerMaxBytes
in interfaceGPUOptions.ExperimentalOrBuilder
- Returns:
- The kernelTrackerMaxBytes.
-
setKernelTrackerMaxBytes
public GPUOptions.Experimental.Builder setKernelTrackerMaxBytes(int value)
If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n. If one kernel allocates b * n bytes, then one event will be inserted after it, but it will count as b against the pending limit.
int32 kernel_tracker_max_bytes = 8;
- Parameters:
value
- The kernelTrackerMaxBytes to set.- Returns:
- This builder for chaining.
-
clearKernelTrackerMaxBytes
public GPUOptions.Experimental.Builder clearKernelTrackerMaxBytes()
If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n. If one kernel allocates b * n bytes, then one event will be inserted after it, but it will count as b against the pending limit.
int32 kernel_tracker_max_bytes = 8;
- Returns:
- This builder for chaining.
-
getKernelTrackerMaxPending
public int getKernelTrackerMaxPending()
If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time. An attempt to launch an additional kernel will stall until an event completes.
int32 kernel_tracker_max_pending = 9;
- Specified by:
getKernelTrackerMaxPending
in interfaceGPUOptions.ExperimentalOrBuilder
- Returns:
- The kernelTrackerMaxPending.
-
setKernelTrackerMaxPending
public GPUOptions.Experimental.Builder setKernelTrackerMaxPending(int value)
If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time. An attempt to launch an additional kernel will stall until an event completes.
int32 kernel_tracker_max_pending = 9;
- Parameters:
value
- The kernelTrackerMaxPending to set.- Returns:
- This builder for chaining.
-
clearKernelTrackerMaxPending
public GPUOptions.Experimental.Builder clearKernelTrackerMaxPending()
If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time. An attempt to launch an additional kernel will stall until an event completes.
int32 kernel_tracker_max_pending = 9;
- Returns:
- This builder for chaining.
-
setUnknownFields
public final GPUOptions.Experimental.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
setUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
mergeUnknownFields
public final GPUOptions.Experimental.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
mergeUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Experimental.Builder>
-
-