public static final class GPUOptions.Experimental extends org.nd4j.shade.protobuf.GeneratedMessageV3 implements GPUOptions.ExperimentalOrBuilder
tensorflow.GPUOptions.Experimental| Modifier and Type | Class and Description |
|---|---|
static class |
GPUOptions.Experimental.Builder
Protobuf type
tensorflow.GPUOptions.Experimental |
static class |
GPUOptions.Experimental.VirtualDevices
Configuration for breaking down a visible GPU into multiple "virtual"
devices.
|
static interface |
GPUOptions.Experimental.VirtualDevicesOrBuilder |
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable, org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter| Modifier and Type | Field and Description |
|---|---|
static int |
USE_UNIFIED_MEMORY_FIELD_NUMBER |
static int |
VIRTUAL_DEVICES_FIELD_NUMBER |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
static GPUOptions.Experimental |
getDefaultInstance() |
GPUOptions.Experimental |
getDefaultInstanceForType() |
static org.nd4j.shade.protobuf.Descriptors.Descriptor |
getDescriptor() |
org.nd4j.shade.protobuf.Parser<GPUOptions.Experimental> |
getParserForType() |
int |
getSerializedSize() |
org.nd4j.shade.protobuf.UnknownFieldSet |
getUnknownFields() |
boolean |
getUseUnifiedMemory()
If true, uses CUDA unified memory for memory allocations.
|
GPUOptions.Experimental.VirtualDevices |
getVirtualDevices(int index)
The multi virtual device settings.
|
int |
getVirtualDevicesCount()
The multi virtual device settings.
|
List<GPUOptions.Experimental.VirtualDevices> |
getVirtualDevicesList()
The multi virtual device settings.
|
GPUOptions.Experimental.VirtualDevicesOrBuilder |
getVirtualDevicesOrBuilder(int index)
The multi virtual device settings.
|
List<? extends GPUOptions.Experimental.VirtualDevicesOrBuilder> |
getVirtualDevicesOrBuilderList()
The multi virtual device settings.
|
int |
hashCode() |
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
static GPUOptions.Experimental.Builder |
newBuilder() |
static GPUOptions.Experimental.Builder |
newBuilder(GPUOptions.Experimental prototype) |
GPUOptions.Experimental.Builder |
newBuilderForType() |
protected GPUOptions.Experimental.Builder |
newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected Object |
newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static GPUOptions.Experimental |
parseDelimitedFrom(InputStream input) |
static GPUOptions.Experimental |
parseDelimitedFrom(InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static GPUOptions.Experimental |
parseFrom(byte[] data) |
static GPUOptions.Experimental |
parseFrom(byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static GPUOptions.Experimental |
parseFrom(ByteBuffer data) |
static GPUOptions.Experimental |
parseFrom(ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static GPUOptions.Experimental |
parseFrom(org.nd4j.shade.protobuf.ByteString data) |
static GPUOptions.Experimental |
parseFrom(org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static GPUOptions.Experimental |
parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) |
static GPUOptions.Experimental |
parseFrom(org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static GPUOptions.Experimental |
parseFrom(InputStream input) |
static GPUOptions.Experimental |
parseFrom(InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static org.nd4j.shade.protobuf.Parser<GPUOptions.Experimental> |
parser() |
GPUOptions.Experimental.Builder |
toBuilder() |
void |
writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, makeExtensionsImmutable, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, getSerializedSizeInternal, isInitializedInternal, makeImmutableInternal, mergeFromInternal, toByteArray, toByteString, writeDelimitedTo, writeTo, writeToInternalclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic static final int VIRTUAL_DEVICES_FIELD_NUMBER
public static final int USE_UNIFIED_MEMORY_FIELD_NUMBER
protected Object newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
newInstance in class org.nd4j.shade.protobuf.GeneratedMessageV3public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()
getUnknownFields in interface org.nd4j.shade.protobuf.MessageOrBuildergetUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3public 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 .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;getVirtualDevicesList in interface GPUOptions.ExperimentalOrBuilderpublic 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 .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;getVirtualDevicesOrBuilderList in interface GPUOptions.ExperimentalOrBuilderpublic 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 .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;getVirtualDevicesCount in interface GPUOptions.ExperimentalOrBuilderpublic 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 .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;getVirtualDevices in interface GPUOptions.ExperimentalOrBuilderpublic 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 .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;getVirtualDevicesOrBuilder in interface GPUOptions.ExperimentalOrBuilderpublic 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;getUseUnifiedMemory in interface GPUOptions.ExperimentalOrBuilderpublic final boolean isInitialized()
isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilderisInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws IOException
writeTo in interface org.nd4j.shade.protobuf.MessageLitewriteTo in class org.nd4j.shade.protobuf.GeneratedMessageV3IOExceptionpublic int getSerializedSize()
getSerializedSize in interface org.nd4j.shade.protobuf.MessageLitegetSerializedSize in class org.nd4j.shade.protobuf.GeneratedMessageV3public boolean equals(Object obj)
equals in interface org.nd4j.shade.protobuf.Messageequals in class org.nd4j.shade.protobuf.AbstractMessagepublic int hashCode()
hashCode in interface org.nd4j.shade.protobuf.MessagehashCode in class org.nd4j.shade.protobuf.AbstractMessagepublic static GPUOptions.Experimental parseFrom(ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static GPUOptions.Experimental parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static GPUOptions.Experimental parseFrom(org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static GPUOptions.Experimental parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static GPUOptions.Experimental parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static GPUOptions.Experimental parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static GPUOptions.Experimental parseFrom(InputStream input) throws IOException
IOExceptionpublic static GPUOptions.Experimental parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static GPUOptions.Experimental parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static GPUOptions.Experimental parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static GPUOptions.Experimental parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static GPUOptions.Experimental parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic GPUOptions.Experimental.Builder newBuilderForType()
newBuilderForType in interface org.nd4j.shade.protobuf.MessagenewBuilderForType in interface org.nd4j.shade.protobuf.MessageLitepublic static GPUOptions.Experimental.Builder newBuilder()
public static GPUOptions.Experimental.Builder newBuilder(GPUOptions.Experimental prototype)
public GPUOptions.Experimental.Builder toBuilder()
toBuilder in interface org.nd4j.shade.protobuf.MessagetoBuilder in interface org.nd4j.shade.protobuf.MessageLiteprotected GPUOptions.Experimental.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class org.nd4j.shade.protobuf.GeneratedMessageV3public static GPUOptions.Experimental getDefaultInstance()
public static org.nd4j.shade.protobuf.Parser<GPUOptions.Experimental> parser()
public org.nd4j.shade.protobuf.Parser<GPUOptions.Experimental> getParserForType()
getParserForType in interface org.nd4j.shade.protobuf.MessagegetParserForType in interface org.nd4j.shade.protobuf.MessageLitegetParserForType in class org.nd4j.shade.protobuf.GeneratedMessageV3public GPUOptions.Experimental getDefaultInstanceForType()
getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilderCopyright © 2019. All rights reserved.