GPUOptions

خيارات GPU للطبقة النهائية العامة

نوع Protobuf tensorflow.GPUOptions

فئات متداخلة

فصل GPUOptions.Builder نوع Protobuf tensorflow.GPUOptions
فصل GPUOptions.التجريبية نوع Protobuf tensorflow.GPUOptions.Experimental
واجهة GPUOptions.ExperimentalOrBuilder

الثوابت

كثافة العمليات ALLOCATOR_TYPE_FIELD_NUMBER
كثافة العمليات ALLOW_GROWTH_FIELD_NUMBER
كثافة العمليات DEFERRED_DELETION_BYTES_FIELD_NUMBER
كثافة العمليات الحقل التجريبي_NUMBER
كثافة العمليات FORCE_GPU_COMPATIBLE_FIELD_NUMBER
كثافة العمليات PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER
كثافة العمليات POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER
كثافة العمليات POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER
كثافة العمليات VISIBLE_DEVICE_LIST_FIELD_NUMBER

الأساليب العامة

منطقية
يساوي (كائن كائن)
خيط
GetAllocatorType () 
 The type of GPU allocation strategy to use.
com.google.protobuf.ByteString
الحصول علىAllocatorTypeBytes () 
 The type of GPU allocation strategy to use.
منطقية
الحصول على السماح بالنمو () 
 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.
خيارات GPU الثابتة
الحصول على المثيل الافتراضي ()
خيارات GPU
getDefaultInstanceForType ()
طويل
getDeferredDeletionBytes () 
 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.
النهائي الثابت com.google.protobuf.Descriptors.Descriptor
الحصول على واصف ()
GPUOptions.التجريبية
الحصول التجريبي () 
 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
الحصول على التجريبية أو البناء () 
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
منطقية
الحصول علىForceGpuCompatible () 
 Force all tensors to be gpu_compatible.
الحصول على بارسيرفورتيب ()
مزدوج
getPerProcessGpuMemoryFraction () 
 Fraction of the available GPU memory to allocate for each process.
كثافة العمليات
getPollingActiveDelayUsecs () 
 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.
كثافة العمليات
getPollingInactiveDelayMsecs () 
 This field is deprecated and ignored.
كثافة العمليات
الحصول على حجم متسلسل ()
النهائي com.google.protobuf.UnknownFieldSet
الحصول على الحقول غير المعروفة ()
خيط
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.
منطقية
تجريبي () 
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
كثافة العمليات
رمز التجزئة ()
منطقية نهائية
تمت التهيئة ()
GPUOptions.Builder ثابت
newBuilder (النموذج الأولي لخيارات GPU )
GPUOptions.Builder ثابت
منشئ جديد ()
GPUOptions.Builder
نيوبيلدرفورتيب ()
خيارات GPU الثابتة
parseDelimitedFrom (إدخال InputStream)
خيارات GPU الثابتة
parseDelimitedFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
خيارات GPU الثابتة
parseFrom (بيانات ByteBuffer)
خيارات GPU الثابتة
parseFrom (com.google.protobuf.CodedInputStream input، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
خيارات GPU الثابتة
parseFrom (بيانات ByteBuffer، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
خيارات GPU الثابتة
parseFrom (com.google.protobuf.CodedInputStream الإدخال)
خيارات GPU الثابتة
parseFrom (بيانات البايت[]، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
خيارات GPU الثابتة
parseFrom (بيانات com.google.protobuf.ByteString)
خيارات GPU الثابتة
parseFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
خيارات GPU الثابتة
parseFrom (com.google.protobuf.ByteString data، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
ثابت
محلل ()
GPUOptions.Builder
إلى البناء ()
فارغ
writeTo (إخراج com.google.protobuf.CodedOutputStream)

الطرق الموروثة

الثوابت

العدد النهائي الثابت العام ALLOCATOR_TYPE_FIELD_NUMBER

القيمة الثابتة: 2

العدد النهائي الثابت العام ALLOW_GROWTH_FIELD_NUMBER

القيمة الثابتة: 4

العدد النهائي الثابت العام DEFERRED_DELETION_BYTES_FIELD_NUMBER

القيمة الثابتة: 3

العدد النهائي الثابت العام EXPERIMENTAL_FIELD_NUMBER

القيمة الثابتة: 9

العدد النهائي الثابت العام FORCE_GPU_COMPATIBLE_FIELD_NUMBER

القيمة الثابتة: 8

العدد النهائي الثابت العام PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER

القيمة الثابتة: 1

العدد النهائي الثابت العام POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER

القيمة الثابتة: 6

العدد النهائي الثابت العام POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER

القيمة الثابتة: 7

العدد النهائي الثابت العام VISIBLE_DEVICE_LIST_FIELD_NUMBER

القيمة الثابتة: 5

الأساليب العامة

القيمة المنطقية العامة تساوي (Object obj)

سلسلة getAllocatorType العامة () 

 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;

com.google.protobuf.ByteString العامة 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 () المنطقية العامة 

 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;

خيارات GPU العامة الثابتة getDefaultInstance ()

خيارات GPU العامة getDefaultInstanceForType ()

getDeferredDeletionBytes الطويلة العامة () 

 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;

النهائي العام الثابت com.google.protobuf.Descriptors.Descriptor getDescriptor ()

GPUOptions العامة. 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.ExperimentalOrBuilder العامة 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;

getForceGpuCompatible () المنطقية العامة 

 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;

عام الحصول على بارسيرفورتيب ()

getPerProcessGpuMemoryFraction () المزدوج العام 

 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;

int العام 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;

int العام getPollingInactiveDelayMsecs () 

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

int public getSerializedSize ()

النهائي العام com.google.protobuf.UnknownFieldSet getUnknownFields ()

سلسلة getVisibleDeviceList العامة () 

 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;

com.google.protobuf.ByteString العامة 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;

القيمة المنطقية العامة تجريبية () 

 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;

كود التجزئة الدولي العام ()

تمت تهيئة القيمة المنطقية النهائية العامة ()

GPUOptions العامة الثابتة. Builder newBuilder (النموذج الأولي لـ GPUOptions )

GPUOptions العامة الثابتة. Builder newBuilder ()

GPUOptions.Builder العام newBuilderForType ()

تحليل GPUOptions العام الثابت (DelimitedFrom ) (إدخال InputStream)

رميات
IOEException

خيارات GPUOptions العامة الثابتة parseDelimitedFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
IOEException

تحليل GPUOptions العام الثابت (بيانات ByteBuffer)

رميات
InvalidProtocolBufferException

تحليل GPUOptions العام الثابت (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
IOEException

GPUOptions العامة الثابتة parseFrom (بيانات ByteBuffer، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
InvalidProtocolBufferException

تحليل GPUOptions العام الثابت (com.google.protobuf.CodedInputStream input)

رميات
IOEException

تحليل GPUOptions العام الثابت (بيانات البايت []، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
InvalidProtocolBufferException

تحليل GPUOptions العام الثابت (بيانات com.google.protobuf.ByteString)

رميات
InvalidProtocolBufferException

تحليل GPUOptions العام الثابت (InputStream input، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
IOEException

GPUOptions العامة الثابتة parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
InvalidProtocolBufferException

ساكنة عامة محلل ()

GPUOptions العامة. Builder toBuilder ()

الكتابة إلى الفراغ العام (إخراج com.google.protobuf.CodedOutputStream)

رميات
IOEException