इस पेज का अनुवाद Cloud Translation API से किया गया है.

GPUOptions

सार्वजनिक अंतिम श्रेणी GPUOptions

प्रोटोबफ़ प्रकार tensorflow.GPUOptions

नेस्टेड क्लासेस

कक्षा	GPUOptions.बिल्डर	प्रोटोबफ़ प्रकार `tensorflow.GPUOptions`
कक्षा	GPUOptions.प्रायोगिक	प्रोटोबफ़ प्रकार `tensorflow.GPUOptions.Experimental`
इंटरफ़ेस	GPUOptions.ExperimentalOrBuilder

स्थिरांक

int यहाँ	आवंटनकर्ता_प्रकार_फ़ील्ड_नंबर
int यहाँ	ALLOW_GROWTH_FIELD_NUMBER
int यहाँ	DEFERRED_DELETION_BYTES_FIELD_NUMBER
int यहाँ	EXPERIMENTAL_FIELD_NUMBER
int यहाँ	FORCE_GPU_COMPATIBLE_FIELD_NUMBER
int यहाँ	PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER
int यहाँ	मतदान_सक्रिय_DELAY_USECS_FIELD_NUMBER
int यहाँ	मतदान_INACTIVE_DELAY_MSECS_FIELD_NUMBER
int यहाँ	दृश्यमान_DEVICE_LIST_FIELD_NUMBER

सार्वजनिक तरीके

बूलियन	बराबर (वस्तु वस्तु)
डोरी	getAllocatorType () The type of GPU allocation strategy to use.
com.google.protobuf.ByteString	getAllocatorTypeBytes () The type of GPU allocation strategy to use.
बूलियन	getAllowGrowth () If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
स्थिर GPUविकल्प	getDefaultInstance ()
जीपीयूविकल्प	getDefaultInstanceForType ()
लंबा	getDeferredDeletionBytes () Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
GPUOptions.प्रायोगिक	प्रयोगात्मक प्राप्त करें () 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.
बूलियन	getForceGpuसंगत () Force all tensors to be gpu_compatible.
	getParserForType ()
दोहरा	getPerProcessGpuMemoryFraction () Fraction of the available GPU memory to allocate for each process.
int यहाँ	getPollingActiveDelayUsecs () In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
int यहाँ	getPollingInactiveDelayMsecs () This field is deprecated and ignored.
int यहाँ	getSerializedआकार ()
अंतिम com.google.protobuf.UnknownFieldSet	अज्ञात फ़ील्ड प्राप्त करें ()
डोरी	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.
बूलियन	प्रयोगात्मक है () Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
int यहाँ	हैशकोड ()
अंतिम बूलियन	प्रारंभ किया गया है ()
स्थिर GPUOptions.Builder	न्यूबिल्डर ( GPUOptions प्रोटोटाइप)
स्थिर GPUOptions.Builder	नयाबिल्डर ()
GPUOptions.बिल्डर	न्यूबिल्डरफॉरटाइप ()
स्थिर GPUविकल्प	parseDelimitedFrom (इनपुटस्ट्रीम इनपुट)
स्थिर GPUविकल्प	parseDelimitedFrom (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर GPUविकल्प	पार्सफ्रॉम (बाइटबफ़र डेटा)
स्थिर GPUविकल्प	parseFrom (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर GPUविकल्प	पार्सफ्रॉम (बाइटबफ़र डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर GPUविकल्प	parseFrom (com.google.protobuf.CodedInputStream इनपुट)
स्थिर GPUविकल्प	पार्सफ्रॉम (बाइट[] डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर GPUविकल्प	parseFrom (com.google.protobuf.ByteString डेटा)
स्थिर GPUविकल्प	पार्सफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर GPUविकल्प	parseFrom (com.google.protobuf.ByteString डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर	पार्सर ()
GPUOptions.बिल्डर	टूबिल्डर ()
खालीपन	राइटटू (com.google.protobuf.CodedOutputStream आउटपुट)

विरासत में मिली विधियाँ

कक्षा java.lang.Object से

बूलियन	बराबर (ऑब्जेक्ट arg0)
अंतिम कक्षा<?>	गेटक्लास ()
int यहाँ	हैशकोड ()
अंतिम शून्य	सूचित करें ()
अंतिम शून्य	सभी को सूचित करें ()
डोरी	स्ट्रिंग ()
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0, int arg1)
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0)
अंतिम शून्य	इंतज़ार ()

इंटरफ़ेस org.tensorflow.proto.framework.GPUOptionsOrBuilder से

सार स्ट्रिंग	getAllocatorType () The type of GPU allocation strategy to use.
सार com.google.protobuf.ByteString	getAllocatorTypeBytes () The type of GPU allocation strategy to use.
अमूर्त बूलियन	getAllowGrowth () If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
अमूर्त लंबा	getDeferredDeletionBytes () Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
सार GPUOptions.प्रायोगिक	प्रयोगात्मक प्राप्त करें () Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
सार 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.
अमूर्त बूलियन	getForceGpuसंगत () Force all tensors to be gpu_compatible.
सार दोहरा	getPerProcessGpuMemoryFraction () Fraction of the available GPU memory to allocate for each process.
सार इंट	getPollingActiveDelayUsecs () In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
सार इंट	getPollingInactiveDelayMsecs () This field is deprecated and ignored.
सार स्ट्रिंग	getVisibleDeviceList () A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
सार com.google.protobuf.ByteString	getVisibleDeviceListBytes () A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
अमूर्त बूलियन	प्रयोगात्मक है () Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

स्थिरांक

सार्वजनिक स्थैतिक अंतिम पूर्णांक ALLOCATOR_TYPE_FIELD_NUMBER

स्थिर मान: 2

सार्वजनिक स्थैतिक अंतिम पूर्णांक ALLOW_GROWTH_FIELD_NUMBER

स्थिर मान: 4

सार्वजनिक स्थैतिक अंतिम पूर्णांक DEFERRED_DELETION_BYTES_FIELD_NUMBER

स्थिर मान: 3

सार्वजनिक स्थैतिक अंतिम पूर्णांक EXPERIMENTAL_FIELD_NUMBER

स्थिर मान: 9

सार्वजनिक स्थैतिक अंतिम पूर्णांक FORCE_GPU_COMPATIBLE_FIELD_NUMBER

स्थिर मान: 8

सार्वजनिक स्थैतिक अंतिम पूर्णांक PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER

स्थिर मान: 1

सार्वजनिक स्थैतिक अंतिम पूर्णांक POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER

स्थिर मान: 6

सार्वजनिक स्थैतिक अंतिम पूर्णांक POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER

स्थिर मान: 7

सार्वजनिक स्थैतिक अंतिम पूर्णांक VISIBLE_DEVICE_LIST_FIELD_NUMBER

स्थिर मान: 5

सार्वजनिक तरीके

सार्वजनिक बूलियन बराबर (ऑब्जेक्ट obj)

सार्वजनिक स्ट्रिंग 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;

सार्वजनिक 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;

सार्वजनिक बूलियन 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;

सार्वजनिक स्थैतिक GPUOptions getDefaultInstance ()

सार्वजनिक GPUOptions getDefaultInstanceForType ()

सार्वजनिक लंबे समय तक 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;

सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()

सार्वजनिक GPUOptions. प्रायोगिक 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;

सार्वजनिक 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;

सार्वजनिक बूलियन 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;

जनता getParserForType ()

सार्वजनिक डबल 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;

सार्वजनिक 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;

सार्वजनिक int getPollingInactiveDelayMsecs ()

 This field is deprecated and ignored.

int32 polling_inactive_delay_msecs = 7;

सार्वजनिक int getSerializedSize ()

सार्वजनिक अंतिम com.google.protobuf.UnknownFieldSet getUnknownFields ()

सार्वजनिक स्ट्रिंग 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;

सार्वजनिक 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;

सार्वजनिक बूलियन प्रयोगात्मक है ()

 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;

सार्वजनिक पूर्णांक हैशकोड ()

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक स्थैतिक GPUOptions.Builder newBuilder ( GPUOptions प्रोटोटाइप)

सार्वजनिक स्थैतिक GPUOptions.Builder newBuilder ()

सार्वजनिक GPUOptions.Builder newBuilderForType ()

सार्वजनिक स्थैतिक GPUOptions parseDelimitedFrom (इनपुटस्ट्रीम इनपुट)

फेंकता

आईओ अपवाद

सार्वजनिक स्थैतिक GPUOptions parseDelimitedFrom (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता

आईओ अपवाद

सार्वजनिक स्थैतिक GPUOptions पार्सफ्रॉम (बाइटबफ़र डेटा)

फेंकता

अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक GPUOptions पार्सफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता

आईओ अपवाद

सार्वजनिक स्थैतिक GPUOptions पार्सफ्रॉम (ByteBuffer डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता

अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक GPUOptions पार्सफ्रॉम (com.google.protobuf.CodedInputStream इनपुट)

फेंकता

आईओ अपवाद

सार्वजनिक स्थैतिक GPUOptions पार्सफ्रॉम (बाइट[] डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता

अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक GPUOptions पार्सफ्रॉम (com.google.protobuf.ByteString डेटा)

फेंकता

अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक GPUOptions पार्सफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता

आईओ अपवाद

सार्वजनिक स्थैतिक GPUOptions पार्सफ्रॉम (com.google.protobuf.ByteString डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता

अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक पार्सर ()

सार्वजनिक GPUOptions.Builder toBuilder ()

सार्वजनिक शून्य राइटटू (com.google.protobuf.CodedOutputStream आउटपुट)

फेंकता

आईओ अपवाद