interface pública KernelDefOrBuilder
| Subclasses indiretas conhecidas |
Métodos Públicos
| abstrato KernelDef.AttrConstraint | getConstraint (índice interno) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| abstrato int | getConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| Lista abstrata< KernelDef.AttrConstraint > | getConstraintList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| abstrato KernelDef.AttrConstraintOrBuilder | getConstraintOrBuilder (índice interno) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| lista abstrata<? estende KernelDef.AttrConstraintOrBuilder > | getConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| cadeia abstrata | getDeviceType () Type of device this kernel runs on. |
| abstrato com.google.protobuf.ByteString | getDeviceTypeBytes () Type of device this kernel runs on. |
| cadeia abstrata | getHostMemoryArg (índice interno) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| abstrato com.google.protobuf.ByteString | getHostMemoryArgBytes (índice interno) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| abstrato int | getHostMemoryArgCount () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| lista abstrata<String> | getHostMemoryArgList () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| cadeia abstrata | 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. |
| abstrato 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. |
| cadeia abstrata | getOp () Must match the name of an Op. |
| abstrato com.google.protobuf.ByteString | getOpBytes () Must match the name of an Op. |
| abstrato int | obterPrioridade () Prioritization of kernel amongst different devices. |
Métodos Públicos
resumo público KernelDef.AttrConstraint getConstraint (índice int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
público abstrato int getConstraintCount ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
lista abstrata pública< KernelDef.AttrConstraint > getConstraintList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
público abstrato KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (índice int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
lista abstrata pública<? estende KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
String abstrata pública getDeviceType ()
Type of device this kernel runs on.
string device_type = 2; resumo público com.google.protobuf.ByteString getDeviceTypeBytes ()
Type of device this kernel runs on.
string device_type = 2; String abstrata pública getHostMemoryArg (índice int)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; resumo público com.google.protobuf.ByteString getHostMemoryArgBytes (índice int)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; público abstrato 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; lista abstrata pública<String> getHostMemoryArgList ()
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; String abstrata pública 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; resumo público 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; String abstrata pública getOp ()
Must match the name of an Op.
string op = 1; resumo público com.google.protobuf.ByteString getOpBytes ()
Must match the name of an Op.
string op = 1; público abstrato 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;