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

entero ALLOCATOR_TYPE_FIELD_NUMBER
entero ALLOW_GROWTH_FIELD_NUMBER
entero DEFERRED_DELETION_BYTES_FIELD_NUMBER
entero EXPERIMENTAL_FIELD_NUMBER
entero FORCE_GPU_COMPATIBLE_FIELD_NUMBER
entero PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER
entero POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER
entero POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER
entero 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
Opciones de GPU
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
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.
doble
getPerProcessGpuMemoryFraction ()
 Fraction of the available GPU memory to allocate for each process.
entero
getPollingActiveDelayUsecs ()
 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.
entero
getPollingInactiveDelayMsecs ()
 This field is deprecated and ignored.
entero
com.google.protobuf.UnknownFieldSet final
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.
entero
booleano final
GPUOptions.Builder estático
GPUOptions.Builder estático
GPUOptions.Builder
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
GPUOptions.Builder
vacío
writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

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 estáticas públicas 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