Uses of Class
org.tensorflow.proto.KernelDef.Builder
Packages that use KernelDef.Builder
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Uses of KernelDef.Builder in org.tensorflow.proto
Subclasses with type arguments of type KernelDef.Builder in org.tensorflow.protoModifier and TypeClassDescriptionstatic final classProtobuf typetensorflow.KernelDefMethods in org.tensorflow.proto that return KernelDef.BuilderModifier and TypeMethodDescriptionKernelDef.Builder.addAllConstraint(Iterable<? extends KernelDef.AttrConstraint> values) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;KernelDef.Builder.addAllHostMemoryArg(Iterable<String> values) Names of the Op's input_/output_args that reside in host memory instead of device memory.KernelDef.Builder.addConstraint(int index, KernelDef.AttrConstraint value) 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 value) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;KernelDef.Builder.addConstraint(KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;KernelDef.Builder.addHostMemoryArg(String value) Names of the Op's input_/output_args that reside in host memory instead of device memory.KernelDef.Builder.addHostMemoryArgBytes(ByteString value) Names of the Op's input_/output_args that reside in host memory instead of device memory.KernelList.Builder.addKernelBuilder()repeated .tensorflow.KernelDef kernel = 1;KernelList.Builder.addKernelBuilder(int index) repeated .tensorflow.KernelDef kernel = 1;KernelDef.Builder.clear()KernelDef.Builder.clearConstraint()repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;KernelDef.Builder.clearDeviceType()Type of device this kernel runs on.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.clearOp()Must match the name of an Op.KernelDef.Builder.clearPriority()Prioritization of kernel amongst different devices.KernelList.Builder.getKernelBuilder(int index) repeated .tensorflow.KernelDef kernel = 1;KernelDef.Builder.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) static KernelDef.BuilderKernelDef.newBuilder()static KernelDef.BuilderKernelDef.newBuilder(KernelDef prototype) KernelDef.newBuilderForType()protected KernelDef.BuilderKernelDef.newBuilderForType(AbstractMessage.BuilderParent parent) KernelDef.Builder.removeConstraint(int index) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;KernelDef.Builder.setConstraint(int index, KernelDef.AttrConstraint value) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;KernelDef.Builder.setConstraint(int index, KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;KernelDef.Builder.setDeviceType(String value) Type of device this kernel runs on.KernelDef.Builder.setDeviceTypeBytes(ByteString value) Type of device this kernel runs on.KernelDef.Builder.setHostMemoryArg(int index, String value) Names of the Op's input_/output_args that reside in host memory instead of device memory.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(ByteString value) 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.Must match the name of an Op.KernelDef.Builder.setOpBytes(ByteString value) Must match the name of an Op.KernelDef.Builder.setPriority(int value) Prioritization of kernel amongst different devices.KernelDef.toBuilder()Methods in org.tensorflow.proto that return types with arguments of type KernelDef.BuilderModifier and TypeMethodDescriptionKernelList.Builder.getKernelBuilderList()repeated .tensorflow.KernelDef kernel = 1;Methods in org.tensorflow.proto with parameters of type KernelDef.BuilderModifier and TypeMethodDescriptionKernelList.Builder.addKernel(int index, KernelDef.Builder builderForValue) repeated .tensorflow.KernelDef kernel = 1;KernelList.Builder.addKernel(KernelDef.Builder builderForValue) repeated .tensorflow.KernelDef kernel = 1;KernelList.Builder.setKernel(int index, KernelDef.Builder builderForValue) repeated .tensorflow.KernelDef kernel = 1;