Uses of Class
ai.onnx.proto.OnnxMl.SparseTensorProto.Builder
Packages that use OnnxMl.SparseTensorProto.Builder
-
Uses of OnnxMl.SparseTensorProto.Builder in ai.onnx.proto
Methods in ai.onnx.proto that return OnnxMl.SparseTensorProto.BuilderModifier and TypeMethodDescriptionOnnxMl.SparseTensorProto.Builder.addAllDims(Iterable<? extends Long> values) The shape of the underlying dense-tensor: [dim_1, dim_2, ...OnnxMl.SparseTensorProto.Builder.addDims(long value) The shape of the underlying dense-tensor: [dim_1, dim_2, ...OnnxMl.SparseTensorProto.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) OnnxMl.GraphProto.Builder.addSparseInitializerBuilder()Initializers (see above) stored in sparse format.OnnxMl.GraphProto.Builder.addSparseInitializerBuilder(int index) Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.addSparseTensorsBuilder()list of sparse tensorsOnnxMl.AttributeProto.Builder.addSparseTensorsBuilder(int index) list of sparse tensorsOnnxMl.SparseTensorProto.Builder.clear()OnnxMl.SparseTensorProto.Builder.clearDims()The shape of the underlying dense-tensor: [dim_1, dim_2, ...OnnxMl.SparseTensorProto.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) OnnxMl.SparseTensorProto.Builder.clearIndices()The indices of the non-default values, which may be stored in one of two formats.OnnxMl.SparseTensorProto.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) OnnxMl.SparseTensorProto.Builder.clearValues()The sequence of non-default values are encoded as a tensor of shape [NNZ].OnnxMl.SparseTensorProto.Builder.clone()OnnxMl.GraphProto.Builder.getSparseInitializerBuilder(int index) Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.getSparseTensorBuilder()sparse tensor valueOnnxMl.AttributeProto.Builder.getSparseTensorsBuilder(int index) list of sparse tensorsOnnxMl.SparseTensorProto.Builder.mergeFrom(OnnxMl.SparseTensorProto other) OnnxMl.SparseTensorProto.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) OnnxMl.SparseTensorProto.Builder.mergeFrom(com.google.protobuf.Message other) OnnxMl.SparseTensorProto.Builder.mergeIndices(OnnxMl.TensorProto value) The indices of the non-default values, which may be stored in one of two formats.OnnxMl.SparseTensorProto.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) OnnxMl.SparseTensorProto.Builder.mergeValues(OnnxMl.TensorProto value) The sequence of non-default values are encoded as a tensor of shape [NNZ].OnnxMl.SparseTensorProto.newBuilder()OnnxMl.SparseTensorProto.newBuilder(OnnxMl.SparseTensorProto prototype) OnnxMl.SparseTensorProto.newBuilderForType()protected OnnxMl.SparseTensorProto.BuilderOnnxMl.SparseTensorProto.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) OnnxMl.SparseTensorProto.Builder.setDims(int index, long value) The shape of the underlying dense-tensor: [dim_1, dim_2, ...OnnxMl.SparseTensorProto.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) OnnxMl.SparseTensorProto.Builder.setIndices(OnnxMl.TensorProto value) The indices of the non-default values, which may be stored in one of two formats.OnnxMl.SparseTensorProto.Builder.setIndices(OnnxMl.TensorProto.Builder builderForValue) The indices of the non-default values, which may be stored in one of two formats.OnnxMl.SparseTensorProto.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) OnnxMl.SparseTensorProto.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) OnnxMl.SparseTensorProto.Builder.setValues(OnnxMl.TensorProto value) The sequence of non-default values are encoded as a tensor of shape [NNZ].OnnxMl.SparseTensorProto.Builder.setValues(OnnxMl.TensorProto.Builder builderForValue) The sequence of non-default values are encoded as a tensor of shape [NNZ].OnnxMl.SparseTensorProto.toBuilder()Methods in ai.onnx.proto that return types with arguments of type OnnxMl.SparseTensorProto.BuilderModifier and TypeMethodDescriptionOnnxMl.GraphProto.Builder.getSparseInitializerBuilderList()Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.getSparseTensorsBuilderList()list of sparse tensorsMethods in ai.onnx.proto with parameters of type OnnxMl.SparseTensorProto.BuilderModifier and TypeMethodDescriptionOnnxMl.GraphProto.Builder.addSparseInitializer(int index, OnnxMl.SparseTensorProto.Builder builderForValue) Initializers (see above) stored in sparse format.OnnxMl.GraphProto.Builder.addSparseInitializer(OnnxMl.SparseTensorProto.Builder builderForValue) Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.addSparseTensors(int index, OnnxMl.SparseTensorProto.Builder builderForValue) list of sparse tensorsOnnxMl.AttributeProto.Builder.addSparseTensors(OnnxMl.SparseTensorProto.Builder builderForValue) list of sparse tensorsOnnxMl.GraphProto.Builder.setSparseInitializer(int index, OnnxMl.SparseTensorProto.Builder builderForValue) Initializers (see above) stored in sparse format.OnnxMl.AttributeProto.Builder.setSparseTensor(OnnxMl.SparseTensorProto.Builder builderForValue) sparse tensor valueOnnxMl.AttributeProto.Builder.setSparseTensors(int index, OnnxMl.SparseTensorProto.Builder builderForValue) list of sparse tensors