Uses of Class
ai.onnx.proto.OnnxMl.TensorShapeProto
Packages that use OnnxMl.TensorShapeProto
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Uses of OnnxMl.TensorShapeProto in ai.onnx.proto
Fields in ai.onnx.proto with type parameters of type OnnxMl.TensorShapeProtoModifier and TypeFieldDescriptionstatic final com.google.protobuf.Parser<OnnxMl.TensorShapeProto> OnnxMl.TensorShapeProto.PARSERDeprecated.Methods in ai.onnx.proto that return OnnxMl.TensorShapeProtoModifier and TypeMethodDescriptionOnnxMl.TensorShapeProto.Builder.build()OnnxMl.TensorShapeProto.Builder.buildPartial()static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.getDefaultInstance()OnnxMl.TensorShapeProto.Builder.getDefaultInstanceForType()OnnxMl.TensorShapeProto.getDefaultInstanceForType()OnnxMl.TypeProto.SparseTensor.Builder.getShape()optional .onnx.TensorShapeProto shape = 2;OnnxMl.TypeProto.SparseTensor.getShape()optional .onnx.TensorShapeProto shape = 2;OnnxMl.TypeProto.SparseTensorOrBuilder.getShape()optional .onnx.TensorShapeProto shape = 2;OnnxMl.TypeProto.Tensor.Builder.getShape()optional .onnx.TensorShapeProto shape = 2;OnnxMl.TypeProto.Tensor.getShape()optional .onnx.TensorShapeProto shape = 2;OnnxMl.TypeProto.TensorOrBuilder.getShape()optional .onnx.TensorShapeProto shape = 2;static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseDelimitedFrom(InputStream input) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(byte[] data) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(com.google.protobuf.ByteString data) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(com.google.protobuf.CodedInputStream input) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(InputStream input) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(ByteBuffer data) static OnnxMl.TensorShapeProtoOnnxMl.TensorShapeProto.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in ai.onnx.proto that return types with arguments of type OnnxMl.TensorShapeProtoModifier and TypeMethodDescriptioncom.google.protobuf.Parser<OnnxMl.TensorShapeProto> OnnxMl.TensorShapeProto.getParserForType()static com.google.protobuf.Parser<OnnxMl.TensorShapeProto> OnnxMl.TensorShapeProto.parser()Methods in ai.onnx.proto with parameters of type OnnxMl.TensorShapeProtoModifier and TypeMethodDescriptionOnnxMl.TensorShapeProto.Builder.mergeFrom(OnnxMl.TensorShapeProto other) OnnxMl.TypeProto.SparseTensor.Builder.mergeShape(OnnxMl.TensorShapeProto value) optional .onnx.TensorShapeProto shape = 2;OnnxMl.TypeProto.Tensor.Builder.mergeShape(OnnxMl.TensorShapeProto value) optional .onnx.TensorShapeProto shape = 2;OnnxMl.TensorShapeProto.newBuilder(OnnxMl.TensorShapeProto prototype) OnnxMl.TypeProto.SparseTensor.Builder.setShape(OnnxMl.TensorShapeProto value) optional .onnx.TensorShapeProto shape = 2;OnnxMl.TypeProto.Tensor.Builder.setShape(OnnxMl.TensorShapeProto value) optional .onnx.TensorShapeProto shape = 2;