GPUOptions کلاس نهایی عمومی
Protobuf نوع tensorflow.GPUOptions
کلاس های تو در تو
| کلاس | GPUOptions.Builder | Protobuf نوع tensorflow.GPUOptions | |
| کلاس | GPUOptions.Experimental | نوع Protobuf tensorflow.GPUOptions.Experimental | |
| رابط | GPUOptions.ExperimentalOrBuilder | ||
ثابت ها
| بین المللی | ALLOCATOR_TYPE_FIELD_NUMBER | |
| بین المللی | ALLOW_GROWTH_FIELD_NUMBER | |
| بین المللی | DEFERRED_DELETION_BYTES_FIELD_NUMBER | |
| بین المللی | EXPERIMENTAL_FIELD_NUMBER | |
| بین المللی | FORCE_GPU_COMPATIBLE_FIELD_NUMBER | |
| بین المللی | PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER | |
| بین المللی | POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER | |
| بین المللی | POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER | |
| بین المللی | VISIBLE_DEVICE_LIST_FIELD_NUMBER |
روش های عمومی
| بولی | برابر است (object obj) |
| رشته | getAllocatorType () The type of GPU allocation strategy to use. |
| com.google.protobuf.ByteString | getAllocatorTypeBytes () The type of GPU allocation strategy to use. |
| بولی | getAllowGrowth () If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed. |
| گزینه های GPU استاتیک | |
| گزینه های GPU | |
| طولانی | getDeferredDeletionBytes () Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code. |
| نهایی static com.google.protobuf.Descriptors.Descriptor | |
| GPUOptions.Experimental | دریافت تجربی () 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. |
| بولی | getForceGpuCompatible () Force all tensors to be gpu_compatible. |
| دو برابر | getPerProcessGpuMemoryFraction () Fraction of the available GPU memory to allocate for each process. |
| بین المللی | getPollingActiveDelayUsecs () In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty. |
| بین المللی | getPollingInactiveDelayMsecs () This field is deprecated and ignored. |
| بین المللی | |
| com.google.protobuf.UnknownFieldSet نهایی | |
| رشته | 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. |
| بولی | دارای تجربی () Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat. |
| بین المللی | هش کد () |
| بولی نهایی | |
| استاتیک GPUOptions.Builder | newBuilder (نمونه اولیه GPUOptions ) |
| استاتیک GPUOptions.Builder | newBuilder () |
| GPUOptions.Builder | |
| گزینه های GPU استاتیک | parseDelimitedFrom (ورودی جریان ورودی) |
| گزینه های GPU استاتیک | parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| گزینه های GPU استاتیک | parseFrom (داده های ByteBuffer) |
| گزینه های GPU استاتیک | parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| گزینه های GPU استاتیک | parseFrom (داده‌های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| گزینه های GPU استاتیک | parseFrom (ورودی com.google.protobuf.CodedInputStream) |
| گزینه های GPU استاتیک | parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| گزینه های GPU استاتیک | parseFrom (داده های com.google.protobuf.ByteString) |
| گزینه های GPU استاتیک | parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| گزینه های GPU استاتیک | parseFrom (داده‌های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| ایستا | تجزیه کننده () |
| GPUOptions.Builder | toBuilder () |
| خالی | writeTo (خروجی com.google.protobuf.CodedOutputStream) |
روش های ارثی
ثابت ها
نهایی استاتیک عمومی ALLOCATOR_TYPE_FIELD_NUMBER
مقدار ثابت: 2
نهایی استاتیک عمومی ALLOW_GROWTH_FIELD_NUMBER
ارزش ثابت: 4
نهایی استاتیک عمومی DEFERRED_DELETION_BYTES_FIELD_NUMBER
مقدار ثابت: 3
نهایی استاتیک عمومی EXPERIMENTAL_FIELD_NUMBER
مقدار ثابت: 9
نهایی استاتیک عمومی FORCE_GPU_COMPATIBLE_FIELD_NUMBER
مقدار ثابت: 8
نهایی استاتیک عمومی PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER
ارزش ثابت: 1
نهایی استاتیک عمومی POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER
مقدار ثابت: 6
نهایی استاتیک عمومی POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER
ارزش ثابت: 7
نهایی استاتیک عمومی VISIBLE_DEVICE_LIST_FIELD_NUMBER
ارزش ثابت: 5
روش های عمومی
بولین عمومی برابر است (Object Obj)
رشته عمومی 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; عمومی 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; بولی عمومی 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; عمومی طولانی 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 ()
عمومی 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; عمومی 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; بولین عمومی 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; عمومی
عمومی دوبل 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; عمومی 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; عمومی int getPollingInactiveDelayMsecs ()
This field is deprecated and ignored.
int32 polling_inactive_delay_msecs = 7; عمومی int getSerializedSize ()
عمومی نهایی com.google.protobuf.UnknownFieldSet getUnknownFields ()
رشته عمومی getVisibleDeviceList ()
رشته
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; عمومی com.google.protobuf.ByteString getVisibleDeviceListBytes ()
رشته
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; عمومی بولی 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; هش کد عمومی ()
بولین نهایی عمومی isInitialized ()
عمومی استاتیک GPUOptions parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| IOException |
|---|
عمومی استاتیک GPUOptions parseFrom (com.google.protobuf.CodedInputStream ورودی، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| IOException |
|---|
عمومی استاتیک GPUOptions parseFrom (داده‌های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| InvalidProtocolBufferException |
|---|
عمومی استاتیک GPUOptions parseFrom (ورودی com.google.protobuf.CodedInputStream)
پرتاب می کند
| IOException |
|---|
عمومی استاتیک GPUOptions parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| InvalidProtocolBufferException |
|---|
عمومی استاتیک GPUOptions parseFrom (داده های com.google.protobuf.ByteString)
پرتاب می کند
| InvalidProtocolBufferException |
|---|
عمومی استاتیک GPUOptions parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| IOException |
|---|
عمومی استاتیک GPUOptions parseFrom (داده های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| InvalidProtocolBufferException |
|---|
استاتیک عمومی
public void writeTo (خروجی com.google.protobuf.CodedOutputStream)
پرتاب می کند
| IOException |
|---|