Uses of Class
org.tensorflow.proto.KernelDef
Packages that use KernelDef
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Uses of KernelDef in org.tensorflow.proto
Methods in org.tensorflow.proto that return KernelDefModifier and TypeMethodDescriptionKernelDef.Builder.build()KernelDef.Builder.buildPartial()static KernelDefKernelDef.getDefaultInstance()KernelDef.Builder.getDefaultInstanceForType()KernelDef.getDefaultInstanceForType()KernelList.Builder.getKernel(int index) repeated .tensorflow.KernelDef kernel = 1;KernelList.getKernel(int index) repeated .tensorflow.KernelDef kernel = 1;KernelListOrBuilder.getKernel(int index) repeated .tensorflow.KernelDef kernel = 1;static KernelDefKernelDef.parseDelimitedFrom(InputStream input) static KernelDefKernelDef.parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry) static KernelDefKernelDef.parseFrom(byte[] data) static KernelDefKernelDef.parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry) static KernelDefKernelDef.parseFrom(ByteString data) static KernelDefKernelDef.parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry) static KernelDefKernelDef.parseFrom(CodedInputStream input) static KernelDefKernelDef.parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) static KernelDefKernelDef.parseFrom(InputStream input) static KernelDefKernelDef.parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry) static KernelDefKernelDef.parseFrom(ByteBuffer data) static KernelDefKernelDef.parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry) Methods in org.tensorflow.proto that return types with arguments of type KernelDefModifier and TypeMethodDescriptionKernelList.Builder.getKernelList()repeated .tensorflow.KernelDef kernel = 1;KernelList.getKernelList()repeated .tensorflow.KernelDef kernel = 1;KernelListOrBuilder.getKernelList()repeated .tensorflow.KernelDef kernel = 1;KernelDef.getParserForType()KernelDef.parser()Methods in org.tensorflow.proto with parameters of type KernelDefModifier and TypeMethodDescriptionrepeated .tensorflow.KernelDef kernel = 1;repeated .tensorflow.KernelDef kernel = 1;static KernelDef.BuilderKernelDef.newBuilder(KernelDef prototype) repeated .tensorflow.KernelDef kernel = 1;Method parameters in org.tensorflow.proto with type arguments of type KernelDefModifier and TypeMethodDescriptionKernelList.Builder.addAllKernel(Iterable<? extends KernelDef> values) repeated .tensorflow.KernelDef kernel = 1;