सार्वजनिक इंटरफ़ेस KernelDefOrBuilder
ज्ञात अप्रत्यक्ष उपवर्ग |
सार्वजनिक तरीके
सार KernelDef.AttrConstraint | getConstraint (int सूचकांक) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
सार इंट | getConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
सार सूची < KernelDef.AttrConstraint > | getConstraintList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
सार KernelDef.AttrConstraintOrBuilder | getConstraintOrBuilder (int अनुक्रमणिका) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
सार सूची<? KernelDef.AttrConstraintOrBuilder > का विस्तार करता है | getConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
सार स्ट्रिंग | getDeviceType () Type of device this kernel runs on. |
सार com.google.protobuf.ByteString | getDeviceTypeBytes () Type of device this kernel runs on. |
सार स्ट्रिंग | getHostMemoryArg (int अनुक्रमणिका) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
सार com.google.protobuf.ByteString | getHostMemoryArgBytes (int अनुक्रमणिका) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
सार इंट | getHostMemoryArgCount () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
सार सूची<स्ट्रिंग> | getHostMemoryArgList () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
सार स्ट्रिंग | लेबल प्राप्त करें () This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this. |
सार com.google.protobuf.ByteString | getLabelBytes () This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this. |
सार स्ट्रिंग | गेटऑप () Must match the name of an Op. |
सार com.google.protobuf.ByteString | गेटऑपबाइट्स () Must match the name of an Op. |
सार इंट | प्राथमिकता प्राप्त करें () Prioritization of kernel amongst different devices. |
सार्वजनिक तरीके
सार्वजनिक सार KernelDef.AttrConstraint getConstraint (int अनुक्रमणिका)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
सार्वजनिक सार int getConstraintCount ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
सार्वजनिक सार सूची < KernelDef.AttrConstraint > getConstraintList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
सार्वजनिक सार KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (int अनुक्रमणिका)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
सार्वजनिक सार सूची<? KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList () का विस्तार करता है
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
सार्वजनिक सार स्ट्रिंग getDeviceType ()
Type of device this kernel runs on.
string device_type = 2;
सार्वजनिक सार com.google.protobuf.ByteString getDeviceTypeBytes ()
Type of device this kernel runs on.
string device_type = 2;
सार्वजनिक सार स्ट्रिंग getHostMemoryArg (int अनुक्रमणिका)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4;
सार्वजनिक सार com.google.protobuf.ByteString getHostMemoryArgBytes (int अनुक्रमणिका)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4;
सार्वजनिक सार int getHostMemoryArgCount ()
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4;
सार्वजनिक सार सूची <स्ट्रिंग> getHostMemoryArgList ()
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4;
सार्वजनिक सार स्ट्रिंग getLabel ()
This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
string label = 5;
सार्वजनिक सार com.google.protobuf.ByteString getLabelBytes ()
This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
string label = 5;
सार्वजनिक सार स्ट्रिंग getOp ()
Must match the name of an Op.
string op = 1;
सार्वजनिक सार com.google.protobuf.ByteString getOpBytes ()
Must match the name of an Op.
string op = 1;
सार्वजनिक सार int getPriority ()
Prioritization of kernel amongst different devices. By default we assume priority is 0. The higher the priority the better. By default (i.e. if this is not set), we prefer GPU kernels over CPU.
int32 priority = 6;