کلاس نهایی استاتیک عمومی KernelDef.Builder
نوع Protobuf tensorflow.KernelDef
روش های عمومی
| KernelDef.Builder | addAllConstraint (Iterable<? مقادیر KernelDef.AttrConstraint > را گسترش می دهد) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | addAllHostMemoryArg (مقادیر<String> تکرارپذیر) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| KernelDef.Builder | addConstraint (مقدار KernelDef.AttrConstraint ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | addConstraint (شاخص int، مقدار KernelDef.AttrConstraint ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | addConstraint (int index، KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | addConstraint ( KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.AttrConstraint.Builder | addConstraintBuilder () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.AttrConstraint.Builder | addConstraintBuilder (شاخص int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | addHostMemoryArg (مقدار رشته) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| KernelDef.Builder | addHostMemoryArgBytes (com.google.protobuf.ByteString مقدار) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| KernelDef.Builder | addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object) |
| KernelDef | ساختن () |
| KernelDef | ساخت جزئی () |
| KernelDef.Builder | روشن () |
| KernelDef.Builder | clearConstraint () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | clearDeviceType () Type of device this kernel runs on. |
| KernelDef.Builder | clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor) |
| KernelDef.Builder | clearHostMemoryArg () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| KernelDef.Builder | clearLabel () 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. |
| KernelDef.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
| KernelDef.Builder | clearOp () Must match the name of an Op. |
| KernelDef.Builder | اولویت روشن () Prioritization of kernel amongst different devices. |
| KernelDef.Builder | کلون () |
| KernelDef.AttrConstraint | getConstraint (شاخص int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.AttrConstraint.Builder | getConstraintBuilder (شاخص int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| List< KernelDef.AttrConstraint.Builder > | getConstraintBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| بین المللی | getConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| لیست< KernelDef.AttrConstraint > | getConstraintList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.AttrConstraintOrBuilder | getConstraintOrBuilder (شاخص int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| لیست<? KernelDef.AttrConstraintOrBuilder > را گسترش می دهد | getConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef | |
| نهایی static com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| رشته | getDeviceType () Type of device this kernel runs on. |
| com.google.protobuf.ByteString | getDeviceTypeBytes () Type of device this kernel runs on. |
| رشته | getHostMemoryArg (int index) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| com.google.protobuf.ByteString | getHostMemoryArgBytes (شاخص int) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| بین المللی | getHostMemoryArgCount () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| com.google.protobuf.ProtocolStringList | getHostMemoryArgList () Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| رشته | 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. |
| 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. |
| رشته | getOp () Must match the name of an Op. |
| com.google.protobuf.ByteString | getOpBytes () Must match the name of an Op. |
| بین المللی | دریافت اولویت () Prioritization of kernel amongst different devices. |
| بولی نهایی | |
| KernelDef.Builder | mergeFrom (com.google.protobuf.Message other) |
| KernelDef.Builder | mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| نهایی KernelDef.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields) |
| KernelDef.Builder | removeConstraint (شاخص int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | setConstraint (int index، KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | setConstraint (شاخص int، مقدار KernelDef.AttrConstraint ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3; |
| KernelDef.Builder | setDeviceType (مقدار رشته) Type of device this kernel runs on. |
| KernelDef.Builder | setDeviceTypeBytes (مقدار com.google.protobuf.ByteString) Type of device this kernel runs on. |
| KernelDef.Builder | setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object) |
| KernelDef.Builder | setHostMemoryArg (شاخص int، مقدار رشته) Names of the Op's input_/output_args that reside in host memory instead of device memory. |
| KernelDef.Builder | setLabel (مقدار رشته) 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. |
| KernelDef.Builder | setLabelBytes (مقدار com.google.protobuf.ByteString) 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. |
| KernelDef.Builder | setOp (مقدار رشته) Must match the name of an Op. |
| KernelDef.Builder | setOpBytes (مقدار com.google.protobuf.ByteString) Must match the name of an Op. |
| KernelDef.Builder | setPriority (مقدار int) Prioritization of kernel amongst different devices. |
| KernelDef.Builder | setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object) |
| نهایی KernelDef.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields) |
روش های ارثی
روش های عمومی
عمومی KernelDef.Builder addAllConstraint (Iterable<? مقادیر KernelDef.AttrConstraint > را گسترش می دهد)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder addAllHostMemoryArg (مقادیر تکرارپذیر<String>)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; عمومی KernelDef.Builder addConstraint (مقدار KernelDef.AttrConstraint )
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder addConstraint (شاخص int، مقدار KernelDef.AttrConstraint )
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder addConstraint (int index، KernelDef.AttrConstraint.Builder builderForValue)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder addConstraint ( KernelDef.AttrConstraint.Builder builderForValue)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.AttrConstraint.Builder addConstraintBuilder ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.AttrConstraint.Builder addConstraintBuilder (int index)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder addHostMemoryArg (مقدار رشته)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; عمومی KernelDef.Builder addHostMemoryArgBytes (مقدار com.google.protobuf.ByteString)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; عمومی KernelDef.Builder addRepeatedField (فیلد com.google.protobuf.Descriptors.FieldDescriptor، مقدار Object)
عمومی KernelDef.Builder clearConstraint ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder clearDeviceType ()
Type of device this kernel runs on.
string device_type = 2; عمومی KernelDef.Builder clearHostMemoryArg ()
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; عمومی KernelDef.Builder clearLabel ()
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; عمومی KernelDef.Builder clearPriority ()
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; عمومی KernelDef.AttrConstraint getConstraint (شاخص int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.AttrConstraint.Builder getConstraintBuilder (int index)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
لیست عمومی< KernelDef.AttrConstraint.Builder > getConstraintBuilderList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی int getConstraintCount ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
لیست عمومی< KernelDef.AttrConstraint > getConstraintList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (شاخص int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
لیست عمومی<? گسترش KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
عمومی com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
رشته عمومی getDeviceType ()
Type of device this kernel runs on.
string device_type = 2; عمومی com.google.protobuf.ByteString getDeviceTypeBytes ()
Type of device this kernel runs on.
string device_type = 2; رشته عمومی getHostMemoryArg (شاخص int)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; public com.google.protobuf.ByteString getHostMemoryArgBytes (int index)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; public 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; عمومی com.google.protobuf.ProtocolStringList getHostMemoryArgList ()
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; رشته عمومی 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; عمومی 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; رشته عمومی getOp ()
Must match the name of an Op.
string op = 1; عمومی com.google.protobuf.ByteString getOpBytes ()
Must match the name of an Op.
string op = 1; public 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; بولین نهایی عمومی isInitialized ()
عمومی KernelDef.Builder mergeFrom (com.google.protobuf.CodedInputStream ورودی، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| IOException |
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عمومی KernelDef.Builder removeConstraint (int index)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder setConstraint (int index، KernelDef.AttrConstraint.Builder builderForValue)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder setConstraint (شاخص int، مقدار KernelDef.AttrConstraint )
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
عمومی KernelDef.Builder setDeviceType (مقدار رشته)
Type of device this kernel runs on.
string device_type = 2; عمومی KernelDef.Builder setDeviceTypeBytes (مقدار com.google.protobuf.ByteString)
Type of device this kernel runs on.
string device_type = 2; عمومی KernelDef.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
عمومی KernelDef.Builder setHostMemoryArg (شاخص int، مقدار رشته)
Names of the Op's input_/output_args that reside in host memory instead of device memory.
repeated string host_memory_arg = 4; عمومی KernelDef.Builder setLabel (مقدار رشته)
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; عمومی KernelDef.Builder setLabelBytes (مقدار com.google.protobuf.ByteString)
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; عمومی KernelDef.Builder setOpBytes (مقدار com.google.protobuf.ByteString)
Must match the name of an Op.
string op = 1; عمومی KernelDef.Builder setPriority (مقدار int)
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;