GPUOptions

publiczna klasa końcowa GPUOptions

Protobuf typu tensorflow.GPUOptions

Klasy zagnieżdżone

klasa Opcje GPU. Kreator Protobuf typu tensorflow.GPUOptions
klasa Opcje GPU. Eksperymentalne Protobuf typu tensorflow.GPUOptions.Experimental
interfejs Opcje GPU.ExperimentalOrBuilder

Stałe

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

Metody publiczne

wartość logiczna
równa się (obiekt obiektu)
Smyczkowy
getAllocatorType () 
 The type of GPU allocation strategy to use.
com.google.protobuf.ByteString
getAllocatorTypeBytes () 
 The type of GPU allocation strategy to use.
wartość logiczna
getAllowGrowth () 
 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.
statyczne opcje GPU
pobierz instancję domyślną ()
Opcje GPU
getDefaultInstanceForType ()
długi
getDeferredDeletionBytes () 
 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.
końcowy statyczny com.google.protobuf.Descriptors.Descriptor
pobierzDescriptor ()
Opcje GPU. Eksperymentalne
uzyskaj eksperymentalny () 
 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.
wartość logiczna
getForceGpuKompatybilny () 
 Force all tensors to be gpu_compatible.
getParserForType ()
podwójnie
getPerProcessGpuMemoryFraction () 
 Fraction of the available GPU memory to allocate for each process.
wew
getPollingActiveDelayUsecs () 
 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.
wew
getPollingInactiveDelayMsecs () 
 This field is deprecated and ignored.
wew
getSerializedSize ()
końcowy com.google.protobuf.UnknownFieldSet
getUnknownFields ()
Smyczkowy
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.
wartość logiczna
maEksperymentalny () 
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
wew
hashCode ()
końcowa wartość logiczna
jest zainicjowany ()
statyczne opcje GPU.Builder
newBuilder (prototyp GPUOptions )
statyczne opcje GPU.Builder
nowyBuilder ()
Opcje GPU. Konstruktor
nowyBuilderForType ()
statyczne opcje GPU
parseDelimitedFrom (wejście strumienia wejściowego)
statyczne opcje GPU
parseDelimitedFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczne opcje GPU
parseFrom (dane ByteBuffer)
statyczne opcje GPU
parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczne opcje GPU
parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczne opcje GPU
parseFrom (wejście com.google.protobuf.CodedInputStream)
statyczne opcje GPU
parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)
statyczne opcje GPU
parseFrom (dane com.google.protobuf.ByteString)
statyczne opcje GPU
parseFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczne opcje GPU
parseFrom (dane com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczny
parser ()
Opcje GPU. Konstruktor
do konstruktora ()
próżnia
writeTo (wyjście com.google.protobuf.CodedOutputStream)

Metody dziedziczone

Stałe

publiczny statyczny końcowy int ALLOCATOR_TYPE_FIELD_NUMBER

Wartość stała: 2

publiczny statyczny końcowy int ALLOW_GROWTH_FIELD_NUMBER

Wartość stała: 4

publiczny statyczny końcowy int DEFERRED_DELETION_BYTES_FIELD_NUMBER

Wartość stała: 3

publiczny statyczny końcowy int EXPERIMENTAL_FIELD_NUMBER

Wartość stała: 9

publiczny statyczny końcowy int FORCE_GPU_COMPATIBLE_FIELD_NUMBER

Wartość stała: 8

publiczny statyczny końcowy int PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER

Wartość stała: 1

publiczny statyczny końcowy int POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER

Wartość stała: 6

publiczny statyczny końcowy int POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER

Wartość stała: 7

publiczny statyczny końcowy int VISIBLE_DEVICE_LIST_FIELD_NUMBER

Wartość stała: 5

Metody publiczne

publiczna wartość logiczna równa się (obiekt obiektu)

publiczny ciąg 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;

publiczna wartość logiczna 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;

publiczne statyczne GPUOptions getDefaultInstance ()

publiczne GPUOptions getDefaultInstanceForType ()

publiczny długi 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;

public static final 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;

publiczna wartość logiczna 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;

publiczny getParserForType ()

publiczny podwójny 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;

publiczny int getSerializedSize ()

publiczny finał com.google.protobuf.UnknownFieldSet getUnknownFields ()

publiczny ciąg 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;

publiczna wartość logiczna maExperimental () 

 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;

publiczny int hashCode ()

publiczna końcowa wartość logiczna isInitialized ()

public static GPUOptions.Builder newBuilder (prototyp GPUOptions )

public static GPUOptions.Builder newBuilder ()

public GPUOptions.Builder newBuilderForType ()

public static GPUOptions parseDelimitedFrom (wejście strumienia wejściowego)

Rzuca
Wyjątek IO

public static GPUOptions parseDelimitedFrom (dane wejściowe wejściowe, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Rzuca
Wyjątek IO

public static GPUOptions parseFrom (dane ByteBuffer)

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

publiczne statyczne GPUOptions parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Rzuca
Wyjątek IO

public static GPUOptions parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

publiczne statyczne GPUOptions parseFrom (wejście com.google.protobuf.CodedInputStream)

Rzuca
Wyjątek IO

publiczne statyczne GPUOptions parseFrom (bajt[] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

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

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

publiczne statyczne GPUOptions parseFrom (wejście wejściowe strumienia wejściowego, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca
Wyjątek IO

publiczne statyczne GPUOptions parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

publiczna statyka parser ()

public GPUOptions.Builder toBuilder ()

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

Rzuca
Wyjątek IO