GPUOptions

classe final pública GPUOptions

Tipo de protobuf tensorflow.GPUOptions

Classes aninhadas

aula GPUOptions.Builder Tipo de protobuf tensorflow.GPUOptions
aula GPUOptions.Experimental Tipo de protobuf tensorflow.GPUOptions.Experimental
interface GPUOptions.ExperimentalOrBuilder

Constantes

interno ALLOCATOR_TYPE_FIELD_NUMBER
interno ALLOW_GROWTH_FIELD_NUMBER
interno DEFERRED_DELETION_BYTES_FIELD_NUMBER
interno EXPERIMENTAL_FIELD_NUMBER
interno FORCE_GPU_COMPATIBLE_FIELD_NUMBER
interno PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER
interno POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER
interno POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER
interno VISIBLE_DEVICE_LIST_FIELD_NUMBER

Métodos Públicos

booleano
é igual (objeto obj)
Corda
getAllocatorType ()
 The type of GPU allocation strategy to use.
com.google.protobuf.ByteString
getAllocatorTypeBytes ()
 The type of GPU allocation strategy to use.
booleano
getAllowGrowth ()
 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.
opções de GPU estáticas
Opções de GPU
longo
getDeferredDeletionBytes ()
 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.
final estático com.google.protobuf.Descriptors.Descriptor
GPUOptions.Experimental
getExperimental ()
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
GPUOptions.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
getForceGpuCompatível ()
 Force all tensors to be gpu_compatible.
dobro
getPerProcessGpuMemoryFraction ()
 Fraction of the available GPU memory to allocate for each process.
interno
getPollingActiveDelayUsecs ()
 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.
interno
getPollingInactiveDelayMsecs ()
 This field is deprecated and ignored.
interno
final com.google.protobuf.UnknownFieldSet
Corda
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
temExperimental ()
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
interno
booleano final
GPUOptions.Builder estático
newBuilder (protótipo GPUOptions )
GPUOptions.Builder estático
GPUOptions.Builder
opções de GPU estáticas
parseDelimitedFrom (entrada InputStream)
opções de GPU estáticas
parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
opções de GPU estáticas
parseFrom (dados de ByteBuffer)
opções de GPU estáticas
parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
opções de GPU estáticas
parseFrom (dados de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
opções de GPU estáticas
parseFrom (entrada com.google.protobuf.CodedInputStream)
opções de GPU estáticas
parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
opções de GPU estáticas
parseFrom (dados com.google.protobuf.ByteString)
opções de GPU estáticas
parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
opções de GPU estáticas
parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
GPUOptions.Builder
vazio
writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

Constantes

público estático final int ALLOCATOR_TYPE_FIELD_NUMBER

Valor Constante: 2

público estático final int ALLOW_GROWTH_FIELD_NUMBER

Valor Constante: 4

público estático final int DEFERRED_DELETION_BYTES_FIELD_NUMBER

Valor Constante: 3

público estático final int EXPERIMENTAL_FIELD_NUMBER

Valor Constante: 9

int final estático público FORCE_GPU_COMPATIBLE_FIELD_NUMBER

Valor Constante: 8

público estático final int PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER

Valor Constante: 1

público estático final int POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER

Valor Constante: 6

público estático final int POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER

Valor Constante: 7

público estático final int VISIBLE_DEVICE_LIST_FIELD_NUMBER

Valor Constante: 5

Métodos Públicos

booleano público é igual (Object obj)

String 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 booleano público ()

 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 longo 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;

final estático público 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;

public 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.
 
.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 ()

público duplo getPerProcessGpuMemoryFraction ()

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

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 ()

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

String 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;

has booleano públicoExperimental ()

 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;

hashCode int público ()

público final booleano isInitialized ()

público estático GPUOptions.Builder newBuilder (protótipo GPUOptions )

GPUOptions.Builder estático público newBuilder ()

GPUOptions.Builder público newBuilderForType ()

GPUOptions estáticas públicas parseDelimitedFrom (entrada InputStream)

Lança
IOException

public static GPUOptions parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

GPUOptions estáticas públicas parseFrom (dados de ByteBuffer)

Lança
InvalidProtocolBufferException

public static GPUOptions parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

public static GPUOptions parseFrom (dados ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
InvalidProtocolBufferException

GPUOptions estáticas públicas parseFrom (entrada com.google.protobuf.CodedInputStream)

Lança
IOException

public static GPUOptions parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
InvalidProtocolBufferException

GPUOptions estáticas públicas parseFrom (dados com.google.protobuf.ByteString)

Lança
InvalidProtocolBufferException

public static GPUOptions parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

public static GPUOptions parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
InvalidProtocolBufferException

estática pública analisador ()

GPUOptions.Builder público paraBuilder ()

public void writeTo (saída com.google.protobuf.CodedOutputStream)

Lança
IOException