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GPUOptions

GPUOptions de clase final pública

Protobuf tipo tensorflow.GPUOptions

Clases anidadas

clase	GPUOptions.Builder	Protobuf tipo `tensorflow.GPUOptions`
clase	GPUOptions.Experimental	Protobuf tipo `tensorflow.GPUOptions.Experimental`
interfaz	GPUOptions.ExperimentalOrBuilder

Constantes

En t	ALLOCATOR_TYPE_FIELD_NUMBER
En t	ALLOW_GROWTH_FIELD_NUMBER
En t	DEFERRED_DELETION_BYTES_FIELD_NUMBER
En t	EXPERIMENTAL_FIELD_NUMBER
En t	FORCE_GPU_COMPATIBLE_FIELD_NUMBER
En t	PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER
En t	POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER
En t	POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER
En t	VISIBLE_DEVICE_LIST_FIELD_NUMBER

Métodos públicos

booleano	es igual (Objeto obj)
Cadena	getAllocatorType () The type of GPU allocation strategy to use.
com.google.protobuf.ByteString	getAllocatorTypeBytes () The type of GPU allocation strategy to use.
booleano	obtenerAllowGrowth () If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
Opciones de GPU estáticas	getDefaultInstancia ()
Opciones de GPU	getDefaultInstanceForType ()
largo	getDeferredDeletionBytes () Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
GPUOptions.Experimental	obtenerExperimental () 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.
booleano	getForceGpuCompatible () Force all tensors to be gpu_compatible.
	getParserForType ()
doble	getPerProcessGpuMemoryFraction () Fraction of the available GPU memory to allocate for each process.
En t	getPollingActiveDelayUsecs () In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
En t	getPollingInactiveDelayMsecs () This field is deprecated and ignored.
En t	getSerializedSize ()
com.google.protobuf.UnknownFieldSet final	obtener campos desconocidos ()
Cadena	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.
booleano	tieneExperimental () Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
En t	código hash ()
booleano final	está inicializado ()
GPUOptions.Builder estático	newBuilder (prototipo de GPUOptions )
GPUOptions.Builder estático	nuevoConstructor ()
GPUOptions.Builder	nuevoBuilderForType ()
Opciones de GPU estáticas	parseDelimitedFrom (entrada de InputStream)
Opciones de GPU estáticas	parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Opciones de GPU estáticas	parseFrom (datos de ByteBuffer)
Opciones de GPU estáticas	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
Opciones de GPU estáticas	parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Opciones de GPU estáticas	parseFrom (entrada com.google.protobuf.CodedInputStream)
Opciones de GPU estáticas	parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Opciones de GPU estáticas	parseFrom (datos com.google.protobuf.ByteString)
Opciones de GPU estáticas	parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Opciones de GPU estáticas	parseFrom (com.google.protobuf.ByteString datos, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
estático	analizador ()
GPUOptions.Builder	al constructor ()
vacío	writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

De la clase java.lang.Object

booleano	es igual (Objeto arg0)
Clase final<?>	obtenerclase ()
En t	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	Encadenar ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (largo arg0)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.GPUOptionsOrBuilder

cadena abstracta	getAllocatorType () The type of GPU allocation strategy to use.
resumen com.google.protobuf.ByteString	getAllocatorTypeBytes () The type of GPU allocation strategy to use.
booleano abstracto	obtenerAllowGrowth () If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
abstracto largo	getDeferredDeletionBytes () Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
Opciones GPU abstractas.Experimental	obtenerExperimental () 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 abstracto	getExperimentalOrBuilder () Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
booleano abstracto	getForceGpuCompatible () Force all tensors to be gpu_compatible.
doble abstracto	getPerProcessGpuMemoryFraction () Fraction of the available GPU memory to allocate for each process.
resumen entero	getPollingActiveDelayUsecs () In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
resumen entero	getPollingInactiveDelayMsecs () This field is deprecated and ignored.
cadena abstracta	getVisibleDeviceList () A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
resumen com.google.protobuf.ByteString	getVisibleDeviceListBytes () A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
booleano abstracto	tieneExperimental () Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

Constantes

int final estático público ALLOCATOR_TYPE_FIELD_NUMBER

Valor constante: 2

int final estático público ALLOW_GROWTH_FIELD_NUMBER

Valor constante: 4

int final estático público DEFERRED_DELETION_BYTES_FIELD_NUMBER

Valor constante: 3

int final estático público EXPERIMENTAL_FIELD_NUMBER

Valor constante: 9

int final estático público FORCE_GPU_COMPATIBLE_FIELD_NUMBER

Valor constante: 8

int final estático público PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER

Valor constante: 1

int final estático público POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER

Valor constante: 6

int final estático público POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER

Valor constante: 7

int final estático público VISIBLE_DEVICE_LIST_FIELD_NUMBER

Valor constante: 5

Métodos públicos

público booleano es igual (Objeto obj)

cadena pública 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;

público 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;

getAllowGrowth público booleano ()

 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;

GPUOptions estáticas públicas getDefaultInstance ()

GPUOptions públicas getDefaultInstanceForType ()

público largo 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;

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

GPUOptions públicas.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.

.tensorflow.GPUOptions.Experimental experimental = 9;

GPUOptions públicas.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.

.tensorflow.GPUOptions.Experimental experimental = 9;

público booleano 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;

público getParserForType ()

getPerProcessGpuMemoryFraction doble público ()

 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;

público 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;

público int getPollingInactiveDelayMsecs ()

 This field is deprecated and ignored.

int32 polling_inactive_delay_msecs = 7;

público int getSerializedSize ()

público final com.google.protobuf.UnknownFieldSet getUnknownFields ()

Cadena pública 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;

público 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;

hasExperimental público booleano ()

 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.

.tensorflow.GPUOptions.Experimental experimental = 9;

código hash int público ()

público final booleano isInitialized ()

GPUOptions.Builder estático público newBuilder (prototipo de GPUOptions )

GPUOptions.Builder estático público newBuilder ()

GPUOptions.Builder público newBuilderForType ()

GPUOptions estáticas públicas parseDelimitedFrom (entrada de InputStream)

Lanza

IOExcepción

GPUOptions estáticas públicas parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

GPUOptions estático público parseFrom (datos ByteBuffer)

Lanza

Excepción de buffer de protocolo no válido

GPUOptions estático público parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

GPUOptions estático público parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

GPUOptions estático público parseFrom (entrada com.google.protobuf.CodedInputStream)

Lanza

IOExcepción

GPUOptions estáticas públicas parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

GPUOptions estático público parseFrom (datos com.google.protobuf.ByteString)

Lanza

Excepción de buffer de protocolo no válido

GPUOptions estático público parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

GPUOptions estático público parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

estática pública analizador ()

GPUOptions.Builder público aBuilder ()

escritura vacía pública (salida de com.google.protobuf.CodedOutputStream)

Lanza

IOExcepción