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