GPUOptions

GPUOptions lớp cuối cùng công khai

tensorflow.GPUOptions loại protobuf.GPUOptions

Các lớp lồng nhau

lớp học GPUOptions.Builder tensorflow.GPUOptions loại protobuf.GPUOptions
lớp học GPUOptions.Experimental Protobuf loại tensorflow.GPUOptions.Experimental
giao diện GPUOptions.ExperimentalOrBuilder

Hằng số

int ALLOCATOR_TYPE_FIELD_NUMBER
int ALLOW_GROWTH_FIELD_NUMBER
int DEFERRED_DELETION_BYTES_FIELD_NUMBER
int THỬ NGHIỆM_FIELD_NUMBER
int FORCE_GPU_COMPATIBLE_FIELD_NUMBER
int PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER
int POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER
int POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER
int VISIBLE_DEVICE_LIST_FIELD_NUMBER

Phương pháp công khai

boolean
bằng (Đối tượng obj)
Sợi dây
getAllocatorType ()
 The type of GPU allocation strategy to use.
com.google.protobuf.ByteString
getAllocatorTypeBytes ()
 The type of GPU allocation strategy to use.
boolean
getAllowGrowth ()
 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.
Tùy chọn GPU tĩnh
getDefaultInstance ()
Tùy chọn GPU
getDefaultInstanceForType ()
dài
getDeferredDeletionBytes ()
 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.
com.google.protobuf.Descriptors.Descriptor tĩnh cuối cùng
getDescriptor ()
GPUOptions.Experimental
lấyThử nghiệm ()
 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.
boolean
getForceGpuCompatible ()
 Force all tensors to be gpu_compatible.
getParserForType ()
gấp đôi
getPerProcessGpuMemoryFraction ()
 Fraction of the available GPU memory to allocate for each process.
int
getPollingActiveDelayUsecs ()
 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.
int
getPollingInactiveDelayMsecs ()
 This field is deprecated and ignored.
int
getSerializedSize ()
com.google.protobuf.UnknownFieldSet cuối cùng
getUnknownFields ()
Sợi dây
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.
boolean
cóThử nghiệm ()
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
int
Mã Băm ()
boolean cuối cùng
được khởi tạo ()
GPUOptions.Builder tĩnh
newBuilder (nguyên mẫu GPUOptions )
GPUOptions.Builder tĩnh
người xây dựng mới ()
GPUOptions.Builder
newBuilderForType ()
Tùy chọn GPU tĩnh
phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào)
Tùy chọn GPU tĩnh
phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào, com.google.protobuf.ExtensionRegistryLite tiện ích mở rộngRegistry)
Tùy chọn GPU tĩnh
ParseFrom (dữ liệu ByteBuffer)
Tùy chọn GPU tĩnh
ParseFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Tùy chọn GPU tĩnh
ParseFrom (Dữ liệu ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Tùy chọn GPU tĩnh
ParseFrom (đầu vào com.google.protobuf.CodedInputStream)
Tùy chọn GPU tĩnh
ParseFrom (dữ liệu byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Tùy chọn GPU tĩnh
ParseFrom (dữ liệu com.google.protobuf.ByteString)
Tùy chọn GPU tĩnh
ParseFrom (Đầu vào inputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Tùy chọn GPU tĩnh
ParsFrom (dữ liệu com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
tĩnh
trình phân tích cú pháp ()
GPUOptions.Builder
toBuilder ()
trống rỗng
writeTo (đầu ra com.google.protobuf.CodedOutputStream)

Phương pháp kế thừa

Hằng số

int tĩnh công khai ALLOCATOR_TYPE_FIELD_NUMBER

Giá trị không đổi: 2

int tĩnh công khai ALLOW_GROWTH_FIELD_NUMBER

Giá trị không đổi: 4

int tĩnh cuối cùng DEFERRED_DELETION_BYTES_FIELD_NUMBER

Giá trị không đổi: 3

int cuối cùng tĩnh công khai EXPERIMENTAL_FIELD_NUMBER

Giá trị không đổi: 9

int tĩnh công khai FORCE_GPU_COMPATIBLE_FIELD_NUMBER

Giá trị không đổi: 8

int cuối cùng tĩnh công khai PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER

Giá trị không đổi: 1

int tĩnh công khai POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER

Giá trị không đổi: 6

int tĩnh công khai POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER

Giá trị không đổi: 7

int tĩnh công khai VISIBLE_DEVICE_LIST_FIELD_NUMBER

Giá trị không đổi: 5

Phương pháp công khai

boolean công khai bằng (Object obj)

Chuỗi công khai 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;

com.google.protobuf.ByteString getAllocatorTypeBytes công khai () 

 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;

boolean công khai 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;

GPUOptions tĩnh công khai getDefaultInstance ()

GPUOptions công khai getDefaultInstanceForType ()

công khai long 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;

công khai tĩnh cuối cùng com.google.protobuf.Descriptors.Descriptor getDescriptor ()

GPUOptions công khai.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;

GPUOptions.ExperimentalOrBuilder công khai 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;

boolean công khai 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;

công cộng getParserForType ()

công khai gấp đôi 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;

int công khai 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 công khai getPollingInactiveDelayMsecs () 

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

int công khai getSerializedSize ()

trận chung kết công khai com.google.protobuf.UnknownFieldSet getUnknownFields ()

Chuỗi công khai 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;

com.google.protobuf.ByteString công khai 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;

boolean công khai 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;

mã băm int công khai ()

boolean cuối cùng công khai được khởi tạo ()

GPUOptions.Builder newBuilder tĩnh công khai ( nguyên mẫu GPUOptions )

GPUOptions.Builder tĩnh công khai newBuilder ()

công khai GPUOptions.Builder newBuilderForType ()

GPUOptions tĩnh công khai phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào)

Ném
IOException

GPUOptions tĩnh công khai phân tích cú phápDelimitedFrom (đầu vào InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném
IOException

GPUOptions phân tích cú pháp tĩnh công khai từ (dữ liệu ByteBuffer)

Ném
Giao thức đệm ngoại lệ không hợp lệ

GPUOptions tĩnh công khai phân tích cú phápFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném
IOException

GPUOptions phân tích cú pháp tĩnh công khaiTừ (Dữ liệu ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném
Giao thức đệm ngoại lệ không hợp lệ

GPUOptions phân tích cú pháp tĩnh công khai (đầu vào com.google.protobuf.CodedInputStream)

Ném
IOException

Phân tích GPUOptions tĩnh công khaiTừ (dữ liệu byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném
Giao thức đệm ngoại lệ không hợp lệ

GPUOptions phân tích cú pháp tĩnh công khai (dữ liệu com.google.protobuf.ByteString)

Ném
Giao thức đệm ngoại lệ không hợp lệ

GPUOptions phân tích cú pháp tĩnh công khaiTừ (đầu vàoInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném
IOException

GPUOptions tĩnh công khai phân tích cú phápFrom (dữ liệu com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném
Giao thức đệm ngoại lệ không hợp lệ

công cộng tĩnh trình phân tích cú pháp ()

GPUOptions.Builder công khai tớiBuilder ()

public void writeTo (đầu ra com.google.protobuf.CodedOutputStream)

Ném
IOException