antarmuka publik KernelDefOrBuilder
Subkelas Tidak Langsung yang Diketahui |
Metode Publik
abstrak KernelDef.AttrConstraint | getConstraint (indeks int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
abstrak ke dalam | dapatkanConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
Daftar abstrak< KernelDef.AttrConstraint > | dapatkanConstraintList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
abstrak KernelDef.AttrConstraintOrBuilder | getConstraintOrBuilder (indeks int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
Daftar abstrak<? memperluas KernelDef.AttrConstraintOrBuilder > | dapatkanConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
Tali abstrak | dapatkanDeviceType () Type of device this kernel runs on. |
abstrak com.google.protobuf.ByteString | dapatkanDeviceTypeBytes () Type of device this kernel runs on. |
Tali abstrak | getHostMemoryArg (indeks int) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
abstrak com.google.protobuf.ByteString | getHostMemoryArgBytes (indeks int) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
abstrak ke dalam | dapatkanHostMemoryArgCount () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
Daftar abstrak<String> | dapatkanHostMemoryArgList () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
Tali abstrak | dapatkanLabel () 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. |
abstrak com.google.protobuf.ByteString | dapatkanLabelBytes () 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. |
Tali abstrak | dapatkanOp () Must match the name of an Op. |
abstrak com.google.protobuf.ByteString | dapatkanOpBytes () Must match the name of an Op. |
abstrak ke dalam | dapatkan Prioritas () Prioritization of kernel amongst different devices. |
Metode Publik
abstrak publik KernelDef.AttrConstraint getConstraint (indeks int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
abstrak publik int getConstraintCount ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Daftar abstrak publik< KernelDef.AttrConstraint > getConstraintList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
abstrak publik KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (int indeks)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Daftar abstrak publik<? memperluas KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
String abstrak publik getDeviceType ()
Type of device this kernel runs on.
string device_type = 2;
abstrak publik com.google.protobuf.ByteString getDeviceTypeBytes ()
Type of device this kernel runs on.
string device_type = 2;
String abstrak publik getHostMemoryArg (int indeks)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4;
abstrak publik com.google.protobuf.ByteString getHostMemoryArgBytes (indeks int)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4;
abstrak publik 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;
Daftar abstrak publik<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;
abstrak publik String 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;
abstrak publik 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;
abstrak publik String getOp ()
Must match the name of an Op.
string op = 1;
abstrak publik com.google.protobuf.ByteString getOpBytes ()
Must match the name of an Op.
string op = 1;
abstrak publik 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;