Uses of Class
ai.onnx.proto.OnnxMl.SparseTensorProto
Packages that use OnnxMl.SparseTensorProto
-
Uses of OnnxMl.SparseTensorProto in ai.onnx.proto
Fields in ai.onnx.proto with type parameters of type OnnxMl.SparseTensorProtoModifier and TypeFieldDescriptionstatic final com.google.protobuf.Parser<OnnxMl.SparseTensorProto>OnnxMl.SparseTensorProto.PARSERDeprecated.Methods in ai.onnx.proto that return OnnxMl.SparseTensorProtoModifier and TypeMethodDescriptionOnnxMl.SparseTensorProto.Builder.build()OnnxMl.SparseTensorProto.Builder.buildPartial()static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.getDefaultInstance()OnnxMl.SparseTensorProto.Builder.getDefaultInstanceForType()OnnxMl.SparseTensorProto.getDefaultInstanceForType()OnnxMl.GraphProto.Builder.getSparseInitializer(int index) Initializers (see above) stored in sparse format.OnnxMl.GraphProto.getSparseInitializer(int index) Initializers (see above) stored in sparse format.OnnxMl.GraphProtoOrBuilder.getSparseInitializer(int index) Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.getSparseTensor()sparse tensor valueOnnxMl.AttributeProto.getSparseTensor()sparse tensor valueOnnxMl.AttributeProtoOrBuilder.getSparseTensor()sparse tensor valueOnnxMl.AttributeProto.Builder.getSparseTensors(int index) list of sparse tensorsOnnxMl.AttributeProto.getSparseTensors(int index) list of sparse tensorsOnnxMl.AttributeProtoOrBuilder.getSparseTensors(int index) list of sparse tensorsstatic OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseDelimitedFrom(InputStream input) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(byte[] data) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(com.google.protobuf.ByteString data) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(com.google.protobuf.CodedInputStream input) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(InputStream input) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(ByteBuffer data) static OnnxMl.SparseTensorProtoOnnxMl.SparseTensorProto.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in ai.onnx.proto that return types with arguments of type OnnxMl.SparseTensorProtoModifier and TypeMethodDescriptioncom.google.protobuf.Parser<OnnxMl.SparseTensorProto>OnnxMl.SparseTensorProto.getParserForType()OnnxMl.GraphProto.Builder.getSparseInitializerList()Initializers (see above) stored in sparse format.OnnxMl.GraphProto.getSparseInitializerList()Initializers (see above) stored in sparse format.OnnxMl.GraphProtoOrBuilder.getSparseInitializerList()Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.getSparseTensorsList()list of sparse tensorsOnnxMl.AttributeProto.getSparseTensorsList()list of sparse tensorsOnnxMl.AttributeProtoOrBuilder.getSparseTensorsList()list of sparse tensorsstatic com.google.protobuf.Parser<OnnxMl.SparseTensorProto>OnnxMl.SparseTensorProto.parser()Methods in ai.onnx.proto with parameters of type OnnxMl.SparseTensorProtoModifier and TypeMethodDescriptionOnnxMl.GraphProto.Builder.addSparseInitializer(int index, OnnxMl.SparseTensorProto value) Initializers (see above) stored in sparse format.OnnxMl.GraphProto.Builder.addSparseInitializer(OnnxMl.SparseTensorProto value) Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.addSparseTensors(int index, OnnxMl.SparseTensorProto value) list of sparse tensorsOnnxMl.AttributeProto.Builder.addSparseTensors(OnnxMl.SparseTensorProto value) list of sparse tensorsOnnxMl.SparseTensorProto.Builder.mergeFrom(OnnxMl.SparseTensorProto other) OnnxMl.AttributeProto.Builder.mergeSparseTensor(OnnxMl.SparseTensorProto value) sparse tensor valueOnnxMl.SparseTensorProto.newBuilder(OnnxMl.SparseTensorProto prototype) OnnxMl.GraphProto.Builder.setSparseInitializer(int index, OnnxMl.SparseTensorProto value) Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.setSparseTensor(OnnxMl.SparseTensorProto value) sparse tensor valueOnnxMl.AttributeProto.Builder.setSparseTensors(int index, OnnxMl.SparseTensorProto value) list of sparse tensorsMethod parameters in ai.onnx.proto with type arguments of type OnnxMl.SparseTensorProtoModifier and TypeMethodDescriptionOnnxMl.GraphProto.Builder.addAllSparseInitializer(Iterable<? extends OnnxMl.SparseTensorProto> values) Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.addAllSparseTensors(Iterable<? extends OnnxMl.SparseTensorProto> values) list of sparse tensors