GPUOptions

публичный финальный класс GPUOptions

Тип protobuf tensorflow.GPUOptions

Вложенные классы

сорт GPUOptions.Builder Тип protobuf tensorflow.GPUOptions
сорт GPUOptions.Экспериментальный Тип protobuf tensorflow.GPUOptions.Experimental
интерфейс GPUOptions.ExperimentalOrBuilder

Константы

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

Публичные методы

логическое значение
равно (Объект obj)
Нить
ПолучитьАллокаторТип () 
 The type of GPU allocation strategy to use.
com.google.protobuf.ByteString
getAllocatorTypeBytes () 
 The type of GPU allocation strategy to use.
логическое значение
getAllowGrowth () 
 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.
статические параметры графического процессора
getDefaultInstance ()
Параметры графического процессора
getDefaultInstanceForType ()
длинный
getDeferredDeletionBytes () 
 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.
окончательный статический com.google.protobuf.Descriptors.Descriptor
получитьдескриптор ()
GPUOptions.Экспериментальный
получитьЭкспериментальный () 
 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.
логическое значение
getForceGpuCompatible () 
 Force all tensors to be gpu_compatible.
getParserForType ()
двойной
getPerProcessGpuMemoryFraction () 
 Fraction of the available GPU memory to allocate for each process.
интервал
getPollingActiveDelayUsecs () 
 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.
интервал
getPollingInactiveDelayMsecs () 
 This field is deprecated and ignored.
интервал
getSerializedSize ()
окончательный com.google.protobuf.UnknownFieldSet
getUnknownFields ()
Нить
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.
логическое значение
имеетЭкспериментальный () 
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
интервал
хэш-код ()
последнее логическое значение
isInitialized ()
статический GPUOptions.Builder
newBuilder (прототип GPUOptions )
статический GPUOptions.Builder
новыйстроитель ()
GPUOptions.Builder
новыйБилдерФорТип ()
статические параметры графического процессора
parseDelimitedFrom (входной поток)
статические параметры графического процессора
parseDelimitedFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические параметры графического процессора
parseFrom (данные ByteBuffer)
статические параметры графического процессора
parseFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические параметры графического процессора
parseFrom (данные ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические параметры графического процессора
parseFrom (вход com.google.protobuf.CodedInputStream)
статические параметры графического процессора
parseFrom (данные byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические параметры графического процессора
parseFrom (данные com.google.protobuf.ByteString)
статические параметры графического процессора
parseFrom (ввод входного потока, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические параметры графического процессора
parseFrom (данные com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статический
парсер ()
GPUOptions.Builder
toBuilder ()
пустота
writeTo (вывод com.google.protobuf.CodedOutputStream)

Унаследованные методы

Константы

общедоступный статический окончательный int ALLOCATOR_TYPE_FIELD_NUMBER

Постоянное значение: 2

общедоступный статический окончательный int ALLOW_GROWTH_FIELD_NUMBER

Постоянное значение: 4

общедоступный статический окончательный int DEFERRED_DELETION_BYTES_FIELD_NUMBER

Постоянное значение: 3

общедоступный статический окончательный int EXPERIMENTAL_FIELD_NUMBER

Постоянное значение: 9

общедоступный статический финал int FORCE_GPU_COMPATIBLE_FIELD_NUMBER

Постоянное значение: 8

общедоступный статический окончательный int PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER

Постоянное значение: 1

общедоступный статический окончательный int POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER

Постоянное значение: 6

общедоступный статический окончательный int POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER

Постоянное значение: 7

общедоступный статический окончательный int VISIBLE_DEVICE_LIST_FIELD_NUMBER

Постоянное значение: 5

Публичные методы

общедоступное логическое значение равно (Object obj)

общедоступная строка 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;

public 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;

общедоступное логическое значение getAllowGrowth () 

 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;

общедоступный статический GPUOptions getDefaultInstance ()

общедоступные GPUOptions getDefaultInstanceForType ()

общедоступный длинный 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;

общедоступный статический окончательный com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public 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.
.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;

общедоступное логическое значение 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;

общественный getParserForType ()

публичный двойной 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;

public 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;

public int getPollingInactiveDelayMsecs () 

 This field is deprecated and ignored.
int32 polling_inactive_delay_msecs = 7;

public int getSerializedSize ()

публичный финал com.google.protobuf.UnknownFieldSet getUnknownFields ()

публичная строка 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;

public 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;

общедоступное логическое значение hasExperimental () 

 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 int hashCode ()

публичное окончательное логическое значение isInitialized ()

public static GPUOptions.Builder newBuilder (прототип GPUOptions )

общедоступный статический GPUOptions.Builder newBuilder ()

общедоступный GPUOptions.Builder newBuilderForType ()

общедоступный статический GPUOptions parseDelimitedFrom (вход InputStream)

Броски
Исключение IO

public static GPUOptions parseDelimitedFrom (вход InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Исключение IO

общедоступный статический GPUOptions parseFrom (данные ByteBuffer)

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Инвалидпротоколбуфферисключение

public static GPUOptions parseFrom (вход com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Исключение IO

public static GPUOptions parseFrom (данные ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Инвалидпротоколбуфферисключение

общедоступный статический анализ GPUOptions (вход com.google.protobuf.CodedInputStream)

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Исключение IO

public static GPUOptions parseFrom (данные byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Инвалидпротоколбуфферисключение

public static GPUOptions parseFrom (данные com.google.protobuf.ByteString)

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Инвалидпротоколбуфферисключение

public static GPUOptions parseFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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Исключение IO

public static GPUOptions parseFrom (данные com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски
Инвалидпротоколбуфферисключение

общественный статический парсер ()

общедоступный GPUOptions.Builder toBuilder ()

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

Броски
Исключение IO