interfaz pública KernelDefOrBuilder
| Subclases indirectas conocidas |
Métodos públicos
| resumen KernelDef.AttrConstraint | getConstraint (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| resumen entero | getConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| Lista abstracta< KernelDef.AttrConstraint > | getListaDeRestricciones () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.AttrConstraintOrBuilder abstracto | getConstraintOrBuilder (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| Lista abstracta<? extiende KernelDef.AttrConstraintOrBuilder > | getConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| cadena abstracta | obtener tipo de dispositivo () Type of device this kernel runs on. |
| resumen com.google.protobuf.ByteString | getDeviceTypeBytes () Type of device this kernel runs on. |
| cadena abstracta | getHostMemoryArg (índice int) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| resumen com.google.protobuf.ByteString | getHostMemoryArgBytes (índice int) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| resumen entero | getHostMemoryArgCount () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| Lista abstracta<Cadena> | getHostMemoryArgList () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| cadena abstracta | obtenerEtiqueta () 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. |
| resumen com.google.protobuf.ByteString | obtenerLabelBytes () 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. |
| cadena abstracta | obtenerOp () Must match the name of an Op. |
| resumen com.google.protobuf.ByteString | obtenerOpBytes () Must match the name of an Op. |
| resumen entero | obtenerPrioridad () Prioritization of kernel amongst different devices. |
Métodos públicos
resumen público KernelDef.AttrConstraint getConstraint (índice int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
resumen público int getConstraintCount ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista abstracta pública< KernelDef.AttrConstraint > getConstraintList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
resumen público KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (índice int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista de resúmenes públicos <? extiende KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Cadena abstracta pública getDeviceType ()
Type of device this kernel runs on.
string device_type = 2; resumen público com.google.protobuf.ByteString getDeviceTypeBytes ()
Type of device this kernel runs on.
string device_type = 2; Cadena abstracta 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; resumen 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; resumen público 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 abstracta 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; Cadena abstracta pública getLabel ()
etiqueta de cadena
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; resumen 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; Cadena abstracta pública getOp ()
Must match the name of an Op.
string op = 1; resumen público com.google.protobuf.ByteString getOpBytes ()
Must match the name of an Op.
string op = 1; resumen público 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;