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GPUOptions.ExperimentalOrBuilder

อินเทอร์เฟซแบบคงที่สาธารณะ GPUOptions.ExperimentalOrBuilder

คลาสย่อยทางอ้อมที่รู้จัก

GPUOptions.Experimental , GPUOptions.Experimental.Builder

วิธีการสาธารณะ

สตริงที่เป็นนามธรรม	getCollectiveRingOrder () If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
นามธรรม com.google.protobuf.ByteString	getCollectiveRingOrderBytes () If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
บทคัดย่อ	getKernelTrackerMaxBytes () If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
บทคัดย่อ	getKernelTrackerMaxInterval () Parameters for GPUKernelTracker.
บทคัดย่อ	getKernelTrackerMaxPending () If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
บทคัดย่อ	getNumDevToDevCopyStreams () If > 1, the number of device-to-device copy streams to create for each GPUDevice.
บูลีนนามธรรม	getTimestampedAlocator () If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
บูลีนนามธรรม	getUseUnifiedMemory () If true, uses CUDA unified memory for memory allocations.
นามธรรม GPUOptions.Experimental.VirtualDevices	getVirtualDevices (ดัชนี int) The multi virtual device settings.
บทคัดย่อ	getVirtualDevicesCount () The multi virtual device settings.
รายการนามธรรม < GPUOptions.Experimental.VirtualDevices >	รับรายการอุปกรณ์เสมือน () The multi virtual device settings.
นามธรรม GPUOptions.Experimental.VirtualDevicesOrBuilder	getVirtualDevicesOrBuilder (ดัชนี int) The multi virtual device settings.
รายการนามธรรม<? ขยาย GPUOptions.Experimental.VirtualDevicesOrBuilder >	getVirtualDevicesOrBuilderList () The multi virtual device settings.

วิธีการสาธารณะ

สตริงนามธรรมสาธารณะ getCollectiveRingOrder ()

 If non-empty, defines a good GPU ring order on a single worker based on
 device interconnect.  This assumes that all workers have the same GPU
 topology.  Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4".
 This ring order is used by the RingReducer implementation of
 CollectiveReduce, and serves as an override to automatic ring order
 generation in OrderTaskDeviceMap() during CollectiveParam resolution.

string collective_ring_order = 4;

นามธรรมสาธารณะ com.google.protobuf.ByteString getCollectiveRingOrderBytes ()

 If non-empty, defines a good GPU ring order on a single worker based on
 device interconnect.  This assumes that all workers have the same GPU
 topology.  Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4".
 This ring order is used by the RingReducer implementation of
 CollectiveReduce, and serves as an override to automatic ring order
 generation in OrderTaskDeviceMap() during CollectiveParam resolution.

string collective_ring_order = 4;

บทคัดย่อสาธารณะ int getKernelTrackerMaxBytes ()

 If kernel_tracker_max_bytes = n > 0, then a tracking event is
 inserted after every series of kernels allocating a sum of
 memory >= n.  If one kernel allocates b * n bytes, then one
 event will be inserted after it, but it will count as b against
 the pending limit.

int32 kernel_tracker_max_bytes = 8;

นามธรรมสาธารณะ int getKernelTrackerMaxInterval ()

 Parameters for GPUKernelTracker.  By default no kernel tracking is done.
 Note that timestamped_allocator is only effective if some tracking is
 specified.
 If kernel_tracker_max_interval = n > 0, then a tracking event
 is inserted after every n kernels without an event.

int32 kernel_tracker_max_interval = 7;

บทคัดย่อสาธารณะ int getKernelTrackerMaxPending ()

 If kernel_tracker_max_pending > 0 then no more than this many
 tracking events can be outstanding at a time.  An attempt to
 launch an additional kernel will stall until an event
 completes.

int32 kernel_tracker_max_pending = 9;

นามธรรมสาธารณะ int getNumDevToDevCopyStreams ()

 If > 1, the number of device-to-device copy streams to create
 for each GPUDevice.  Default value is 0, which is automatically
 converted to 1.

int32 num_dev_to_dev_copy_streams = 3;

บูลีนนามธรรมสาธารณะ getTimestampedAllocator ()

 If true then extra work is done by GPUDevice and GPUBFCAllocator to
 keep track of when GPU memory is freed and when kernels actually
 complete so that we can know when a nominally free memory chunk
 is really not subject to pending use.

bool timestamped_allocator = 5;

บูลีนนามธรรมสาธารณะ getUseUnifiedMemory ()

 If true, uses CUDA unified memory for memory allocations. If
 per_process_gpu_memory_fraction option is greater than 1.0, then unified
 memory is used regardless of the value for this field. See comments for
 per_process_gpu_memory_fraction field for more details and requirements
 of the unified memory. This option is useful to oversubscribe memory if
 multiple processes are sharing a single GPU while individually using less
 than 1.0 per process memory fraction.

bool use_unified_memory = 2;