GPUOptions.Builder

عمومی استاتیک کلاس نهایی GPUOptions.Builder

Protobuf نوع tensorflow.GPUOptions

روش های عمومی

GPUOptions.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
گزینه های GPU
ساختن ()
گزینه های GPU
ساخت جزئی ()
GPUOptions.Builder
روشن ()
GPUOptions.Builder
clearAllocatorType () 
 The type of GPU allocation strategy to use.
GPUOptions.Builder
clearAllowGrowth () 
 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.
GPUOptions.Builder
clearDeferredDeletionBytes () 
 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.
GPUOptions.Builder
شفاف 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.Builder
clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor)
GPUOptions.Builder
clearForceGpuCompatible () 
 Force all tensors to be gpu_compatible.
GPUOptions.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
GPUOptions.Builder
clearPerProcessGpuMemoryFraction () 
 Fraction of the available GPU memory to allocate for each process.
GPUOptions.Builder
clearPollingActiveDelayUsecs () 
 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.
GPUOptions.Builder
clearPollingInactiveDelayMsecs () 
 This field is deprecated and ignored.
GPUOptions.Builder
clearVisibleDeviceList () 
 A comma-separated list of GPU ids that determines the 'visible'
 to 'virtual' mapping of GPU devices.
GPUOptions.Builder
کلون ()
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
getDefaultInstanceForType ()
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
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
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.Experimental.Builder
getExperimentalBuilder () 
 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 کردن
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.
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.
بولی نهایی
اولیه شده است ()
GPUOptions.Builder
mergeExperimental ( GPUOptions.Experimental value) 
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
GPUOptions.Builder
mergeFrom (com.google.protobuf.Message other)
GPUOptions.Builder
mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
نهایی GPUOptions.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
GPUOptions.Builder
setAllocatorType (مقدار رشته) 
 The type of GPU allocation strategy to use.
GPUOptions.Builder
setAllocatorTypeBytes (مقدار com.google.protobuf.ByteString) 
 The type of GPU allocation strategy to use.
GPUOptions.Builder
setAllowGrowth (مقدار بولی) 
 If true, the allocator does not pre-allocate the entire specified
 GPU memory region, instead starting small and growing as needed.
GPUOptions.Builder
setDeferredDeletionBytes (مقدار طولانی) 
 Delay deletion of up to this many bytes to reduce the number of
 interactions with gpu driver code.
GPUOptions.Builder
setExperimental ( GPUOptions.Experimental.Builder builderForValue) 
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
GPUOptions.Builder
setExperimental ( GPUOptions.Experimental value) 
 Everything inside experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
GPUOptions.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
GPUOptions.Builder
setForceGpuCompatible (مقدار بولی) 
 Force all tensors to be gpu_compatible.
GPUOptions.Builder
setPerProcessGpuMemoryFraction (مقدار دو برابر) 
 Fraction of the available GPU memory to allocate for each process.
GPUOptions.Builder
setPollingActiveDelayUsecs (مقدار int) 
 In the event polling loop sleep this many microseconds between
 PollEvents calls, when the queue is not empty.
GPUOptions.Builder
setPollingInactiveDelayMsecs (مقدار int) 
 This field is deprecated and ignored.
GPUOptions.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)
نهایی GPUOptions.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
GPUOptions.Builder
setVisibleDeviceList (مقدار رشته) 
 A comma-separated list of GPU ids that determines the 'visible'
 to 'virtual' mapping of GPU devices.
GPUOptions.Builder
setVisibleDeviceListBytes (مقدار com.google.protobuf.ByteString) 
 A comma-separated list of GPU ids that determines the 'visible'
 to 'virtual' mapping of GPU devices.

روش های ارثی

روش های عمومی

عمومی GPUOptions.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)

ساخت عمومی GPUOptions ()

عمومی GPUOptions buildPartial ()

عمومی GPUOptions.Builder clear ()

عمومی GPUOptions.Builder clearAllocatorType () 

 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 GPUOptions.Builder clearAllowGrowth () 

 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 GPUOptions.Builder clearDeferredDeletionBytes () 

 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;

عمومی GPUOptions.Builder clearExperimental () 

 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.Builder clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor)

عمومی GPUOptions.Builder clearForceGpuCompatible () 

 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 GPUOptions.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

عمومی GPUOptions.Builder clearPerProcessGpuMemoryFraction () 

 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 GPUOptions.Builder clearPollingActiveDelayUsecs () 

 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 GPUOptions.Builder clearPollingInactiveDelayMsecs () 

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

عمومی GPUOptions.Builder clearVisibleDeviceList () 

 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;

کلون GPUOptions.Builder عمومی ()

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;

GPUOptions عمومی getDefaultInstanceForType ()

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 com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

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.Experimental.Builder getExperimentalBuilder () 

 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 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;

رشته عمومی 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;

عمومی 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;

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;

بولین نهایی عمومی isInitialized ()

عمومی GPUOptions.Builder mergeExperimental ( GPUOptions.Experimental value) 

 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.Builder mergeFrom (com.google.protobuf.Message other)

عمومی GPUOptions.Builder mergeFrom (com.google.protobuf.CodedInputStream ورودی، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی نهایی GPUOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

عمومی GPUOptions.Builder setAllocatorType (مقدار رشته) 

 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 GPUOptions.Builder setAllocatorTypeBytes (مقدار com.google.protobuf.ByteString) 

 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 GPUOptions.Builder setAllowGrowth (مقدار بولی) 

 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 GPUOptions.Builder setDeferredDeletionBytes (مقدار طولانی) 

 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;

عمومی GPUOptions.Builder setExperimental ( GPUOptions.Experimental.Builder builderForValue) 

 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.Builder setExperimental ( GPUOptions.Experimental value) 

 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.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)

عمومی GPUOptions.Builder setForceGpuCompatible (مقدار بولی) 

 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 GPUOptions.Builder setPerProcessGpuMemoryFraction (مقدار دو برابر) 

 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 GPUOptions.Builder setPollingActiveDelayUsecs (مقدار int) 

 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 GPUOptions.Builder setPollingInactiveDelayMsecs (مقدار int) 

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

عمومی GPUOptions.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)

نهایی عمومی GPUOptions.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

عمومی GPUOptions.Builder setVisibleDeviceList (مقدار 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 GPUOptions.Builder setVisibleDeviceListBytes (مقدار com.google.protobuf.ByteString) 

 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;