repo_description: Rust language bindings for TensorFlow
repo_topics: machine-learning rust tensorflow
code: // This file is generated by rust-protobuf 2.27.1. Do not edit
  // @generated
  
  // https://github.com/rust-lang/rust-clippy/issues/702
  #![allow(unknown_lints)]
  #![allow(clippy::all)]
  
  #![allow(unused_attributes)]
  #![cfg_attr(rustfmt, rustfmt::skip)]
  
  #![allow(box_pointers)]
  #![allow(dead_code)]
  #![allow(missing_docs)]
  #![allow(non_camel_case_types)]
  #![allow(non_snake_case)]
  #![allow(non_upper_case_globals)]
  #![allow(trivial_casts)]
  #![allow(unused_imports)]
  #![allow(unused_results)]
  //! Generated file from `tensorflow/core/framework/tensor_shape.proto`
  
  /// Generated files are compatible only with the same version
  /// of protobuf runtime.
  // const _PROTOBUF_VERSION_CHECK: () = ::protobuf::VERSION_2_27_1;
  
  #[derive(PartialEq,Clone,Default)]
  pub struct TensorShapeProto {
      // message fields
      pub dim: ::protobuf::RepeatedField<TensorShapeProto_Dim>,
      pub unknown_rank: bool,
      // special fields
      pub unknown_fields: ::protobuf::UnknownFields,
      pub cached_size: ::protobuf::CachedSize,
  }
  
  impl<'a> ::std::default::Default for &'a TensorShapeProto {
      fn default() -> &'a TensorShapeProto {
          <TensorShapeProto as ::protobuf::Message>::default_instance()
      }
  }
  
  impl TensorShapeProto {
      pub fn new() -> TensorShapeProto {
          ::std::default::Default::default()
      }
  
      // repeated .tensorflow.TensorShapeProto.Dim dim = 2;
  
  
      pub fn get_dim(&self) -> &[TensorShapeProto_Dim] {
          &self.dim
      }
      pub fn clear_dim(&mut self) {
          self.dim.clear();
      }
  
      // Param is passed by value, moved
      pub fn set_dim(&mut self, v: ::protobuf::RepeatedField<TensorShapeProto_Dim>) {
          self.dim = v;
      }
  
      // Mutable pointer to the field.
      pub fn mut_dim(&mut self) -> &mut ::protobuf::RepeatedField<TensorShapeProto_Dim> {
          &mut self.dim
      }
  
      // Take field
      pub fn take_dim(&mut self) -> ::protobuf::RepeatedField<TensorShapeProto_Dim> {
          ::std::mem::replace(&mut self.dim, ::protobuf::RepeatedField::new())
      }
  
      // bool unknown_rank = 3;
  
  
      pub fn get_unknown_rank(&self) -> bool {
          self.unknown_rank
      }
      pub fn clear_unknown_rank(&mut self) {
          self.unknown_rank = false;
      }
  
      // Param is passed by value, moved
      pub fn set_unknown_rank(&mut self, v: bool) {
          self.unknown_rank = v;
      }
  }
  
  impl ::protobuf::Message for TensorShapeProto {
      fn is_initialized(&self) -> bool {
          for v in &self.dim {
              if !v.is_initialized() {
                  return false;
              }
          };
          true
      }
  
      fn merge_from(&mut self, is: &mut ::protobuf::CodedInputStream<'_>) -> ::protobuf::ProtobufResult<()> {
          while !is.eof()? {
              let (field_number, wire_type) = is.read_tag_unpack()?;
              match field_number {
                  2 => {
                      ::protobuf::rt::read_repeated_message_into(wire_type, is, &mut self.dim)?;
                  },
                  3 => {
                      if wire_type != ::protobuf::wire_format::WireTypeVarint {
                          return ::std::result::Result::Err(::protobuf::rt::unexpected_wire_type(wire_type));
                      }
                      let tmp = is.read_bool()?;
                      self.unknown_rank = tmp;
                  },
                  _ => {
                      ::protobuf::rt::read_unknown_or_skip_group(field_number, wire_type, is, self.mut_unknown_fields())?;
                  },
              };
          }
          ::std::result::Result::Ok(())
      }
  
      // Compute sizes of nested messages
      #[allow(unused_variables)]
      fn compute_size(&self) -> u32 {
          let mut my_size = 0;
          for value in &self.dim {
              let len = value.compute_size();
              my_size += 1 + ::protobuf::rt::compute_raw_varint32_size(len) + len;
          };
          if self.unknown_rank != false {
              my_size += 2;
          }
          my_size += ::protobuf::rt::unknown_fields_size(self.get_unknown_fields());
          self.cached_size.set(my_size);
          my_size
      }
  
      fn write_to_with_cached_sizes(&self, os: &mut ::protobuf::CodedOutputStream<'_>) -> ::protobuf::ProtobufResult<()> {
          for v in &self.dim {
              os.write_tag(2, ::protobuf::wire_format::WireTypeLengthDelimited)?;
              os.write_raw_varint32(v.get_cached_size())?;
              v.write_to_with_cached_sizes(os)?;
          };
          if self.unknown_rank != false {
              os.write_bool(3, self.unknown_rank)?;
          }
          os.write_unknown_fields(self.get_unknown_fields())?;
          ::std::result::Result::Ok(())
      }
  
      fn get_cached_size(&self) -> u32 {
          self.cached_size.get()
      }
  
      fn get_unknown_fields(&self) -> &::protobuf::UnknownFields {
          &self.unknown_fields
      }
  
      fn mut_unknown_fields(&mut self) -> &mut ::protobuf::UnknownFields {
          &mut self.unknown_fields
      }
  
      fn as_any(&self) -> &dyn (::std::any::Any) {
          self as &dyn (::std::any::Any)
      }
      fn as_any_mut(&mut self) -> &mut dyn (::std::any::Any) {
          self as &mut dyn (::std::any::Any)
      }
      fn into_any(self: ::std::boxed::Box<Self>) -> ::std::boxed::Box<dyn (::std::any::Any)> {
          self
      }
  
      fn descriptor(&self) -> &'static ::protobuf::reflect::MessageDescriptor {
          Self::descriptor_static()
      }
  
      fn new() -> TensorShapeProto {
          TensorShapeProto::new()
      }
  
      fn descriptor_static() -> &'static ::protobuf::reflect::MessageDescriptor {
          static descriptor: ::protobuf::rt::LazyV2<::protobuf::reflect::MessageDescriptor> = ::protobuf::rt::LazyV2::INIT;
          descriptor.get(|| {
              let mut fields = ::std::vec::Vec::new();
              fields.push(::protobuf::reflect::accessor::make_repeated_field_accessor::<_, ::protobuf::types::ProtobufTypeMessage<TensorShapeProto_Dim>>(
                  "dim",
                  |m: &TensorShapeProto| { &m.dim },
                  |m: &mut TensorShapeProto| { &mut m.dim },
              ));
              fields.push(::protobuf::reflect::accessor::make_simple_field_accessor::<_, ::protobuf::types::ProtobufTypeBool>(
                  "unknown_rank",
                  |m: &TensorShapeProto| { &m.unknown_rank },
                  |m: &mut TensorShapeProto| { &mut m.unknown_rank },
              ));
              ::protobuf::reflect::MessageDescriptor::new_pb_name::<TensorShapeProto>(
                  "TensorShapeProto",
                  fields,
                  file_descriptor_proto()
              )
          })
      }
  
      fn default_instance() -> &'static TensorShapeProto {
          static instance: ::protobuf::rt::LazyV2<TensorShapeProto> = ::protobuf::rt::LazyV2::INIT;
          instance.get(TensorShapeProto::new)
      }
  }
  
  impl ::protobuf::Clear for TensorShapeProto {
      fn clear(&mut self) {
          self.dim.clear();
          self.unknown_rank = false;
          self.unknown_fields.clear();
      }
  }
  
  impl ::std::fmt::Debug for TensorShapeProto {
      fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
          ::protobuf::text_format::fmt(self, f)
      }
  }
  
  impl ::protobuf::reflect::ProtobufValue for TensorShapeProto {
      fn as_ref(&self) -> ::protobuf::reflect::ReflectValueRef {
          ::protobuf::reflect::ReflectValueRef::Message(self)
      }
  }
  
  #[derive(PartialEq,Clone,Default)]
  pub struct TensorShapeProto_Dim {
      // message fields
      pub size: i64,
      pub name: ::std::string::String,
      // special fields
      pub unknown_fields: ::protobuf::UnknownFields,
      pub cached_size: ::protobuf::CachedSize,
  }
  
  impl<'a> ::std::default::Default for &'a TensorShapeProto_Dim {
      fn default() -> &'a TensorShapeProto_Dim {
          <TensorShapeProto_Dim as ::protobuf::Message>::default_instance()
      }
  }
  
  impl TensorShapeProto_Dim {
      pub fn new() -> TensorShapeProto_Dim {
          ::std::default::Default::default()
      }
  
      // int64 size = 1;
  
  
      pub fn get_size(&self) -> i64 {
          self.size
      }
      pub fn clear_size(&mut self) {
          self.size = 0;
      }
  
      // Param is passed by value, moved
      pub fn set_size(&mut self, v: i64) {
          self.size = v;
      }
  
      // string name = 2;
  
  
      pub fn get_name(&self) -> &str {
          &self.name
      }
      pub fn clear_name(&mut self) {
          self.name.clear();
      }
  
      // Param is passed by value, moved
      pub fn set_name(&mut self, v: ::std::string::String) {
          self.name = v;
      }
  
      // Mutable pointer to the field.
      // If field is not initialized, it is initialized with default value first.
      pub fn mut_name(&mut self) -> &mut ::std::string::String {
          &mut self.name
      }
  
      // Take field
      pub fn take_name(&mut self) -> ::std::string::String {
          ::std::mem::replace(&mut self.name, ::std::string::String::new())
      }
  }
  
  impl ::protobuf::Message for TensorShapeProto_Dim {
      fn is_initialized(&self) -> bool {
          true
      }
  
      fn merge_from(&mut self, is: &mut ::protobuf::CodedInputStream<'_>) -> ::protobuf::ProtobufResult<()> {
          while !is.eof()? {
              let (field_number, wire_type) = is.read_tag_unpack()?;
              match field_number {
                  1 => {
                      if wire_type != ::protobuf::wire_format::WireTypeVarint {
                          return ::std::result::Result::Err(::protobuf::rt::unexpected_wire_type(wire_type));
                      }
                      let tmp = is.read_int64()?;
                      self.size = tmp;
                  },
                  2 => {
                      ::protobuf::rt::read_singular_proto3_string_into(wire_type, is, &mut self.name)?;
                  },
                  _ => {
                      ::protobuf::rt::read_unknown_or_skip_group(field_number, wire_type, is, self.mut_unknown_fields())?;
                  },
              };
          }
          ::std::result::Result::Ok(())
      }
  
      // Compute sizes of nested messages
      #[allow(unused_variables)]
      fn compute_size(&self) -> u32 {
          let mut my_size = 0;
          if self.size != 0 {
              my_size += ::protobuf::rt::value_size(1, self.size, ::protobuf::wire_format::WireTypeVarint);
          }
          if !self.name.is_empty() {
              my_size += ::protobuf::rt::string_size(2, &self.name);
          }
          my_size += ::protobuf::rt::unknown_fields_size(self.get_unknown_fields());
          self.cached_size.set(my_size);
          my_size
      }
  
      fn write_to_with_cached_sizes(&self, os: &mut ::protobuf::CodedOutputStream<'_>) -> ::protobuf::ProtobufResult<()> {
          if self.size != 0 {
              os.write_int64(1, self.size)?;
          }
          if !self.name.is_empty() {
              os.write_string(2, &self.name)?;
          }
          os.write_unknown_fields(self.get_unknown_fields())?;
          ::std::result::Result::Ok(())
      }
  
      fn get_cached_size(&self) -> u32 {
          self.cached_size.get()
      }
  
      fn get_unknown_fields(&self) -> &::protobuf::UnknownFields {
          &self.unknown_fields
      }
  
      fn mut_unknown_fields(&mut self) -> &mut ::protobuf::UnknownFields {
          &mut self.unknown_fields
      }
  
      fn as_any(&self) -> &dyn (::std::any::Any) {
          self as &dyn (::std::any::Any)
      }
      fn as_any_mut(&mut self) -> &mut dyn (::std::any::Any) {
          self as &mut dyn (::std::any::Any)
      }
      fn into_any(self: ::std::boxed::Box<Self>) -> ::std::boxed::Box<dyn (::std::any::Any)> {
          self
      }
  
      fn descriptor(&self) -> &'static ::protobuf::reflect::MessageDescriptor {
          Self::descriptor_static()
      }
  
      fn new() -> TensorShapeProto_Dim {
          TensorShapeProto_Dim::new()
      }
  
      fn descriptor_static() -> &'static ::protobuf::reflect::MessageDescriptor {
          static descriptor: ::protobuf::rt::LazyV2<::protobuf::reflect::MessageDescriptor> = ::protobuf::rt::LazyV2::INIT;
          descriptor.get(|| {
              let mut fields = ::std::vec::Vec::new();
              fields.push(::protobuf::reflect::accessor::make_simple_field_accessor::<_, ::protobuf::types::ProtobufTypeInt64>(
                  "size",
                  |m: &TensorShapeProto_Dim| { &m.size },
                  |m: &mut TensorShapeProto_Dim| { &mut m.size },
              ));
              fields.push(::protobuf::reflect::accessor::make_simple_field_accessor::<_, ::protobuf::types::ProtobufTypeString>(
                  "name",
                  |m: &TensorShapeProto_Dim| { &m.name },
                  |m: &mut TensorShapeProto_Dim| { &mut m.name },
              ));
              ::protobuf::reflect::MessageDescriptor::new_pb_name::<TensorShapeProto_Dim>(
                  "TensorShapeProto.Dim",
                  fields,
                  file_descriptor_proto()
              )
          })
      }
  
      fn default_instance() -> &'static TensorShapeProto_Dim {
          static instance: ::protobuf::rt::LazyV2<TensorShapeProto_Dim> = ::protobuf::rt::LazyV2::INIT;
          instance.get(TensorShapeProto_Dim::new)
      }
  }
  
  impl ::protobuf::Clear for TensorShapeProto_Dim {
      fn clear(&mut self) {
          self.size = 0;
          self.name.clear();
          self.unknown_fields.clear();
      }
  }
  
  impl ::std::fmt::Debug for TensorShapeProto_Dim {
      fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
          ::protobuf::text_format::fmt(self, f)
      }
  }
  
  impl ::protobuf::reflect::ProtobufValue for TensorShapeProto_Dim {
      fn as_ref(&self) -> ::protobuf::reflect::ReflectValueRef {
          ::protobuf::reflect::ReflectValueRef::Message(self)
      }
  }
  
  static file_descriptor_proto_data: &'static [u8] = b"\
      \n,tensorflow/core/framework/tensor_shape.proto\x12\ntensorflow\"\x98\
      \x01\n\x10TensorShapeProto\x122\n\x03dim\x18\x02\x20\x03(\x0b2\x20.tenso\
      rflow.TensorShapeProto.DimR\x03dim\x12!\n\x0cunknown_rank\x18\x03\x20\
      \x01(\x08R\x0bunknownRank\x1a-\n\x03Dim\x12\x12\n\x04size\x18\x01\x20\
      \x01(\x03R\x04size\x12\x12\n\x04name\x18\x02\x20\x01(\tR\x04nameB\x87\
      \x01\n\x18org.tensorflow.frameworkB\x11TensorShapeProtosP\x01ZSgithub.co\
      m/tensorflow/tensorflow/tensorflow/go/core/framework/tensor_shape_go_pro\
      to\xf8\x01\x01b\x06proto3\
  ";
  
  static file_descriptor_proto_lazy: ::protobuf::rt::LazyV2<::protobuf::descriptor::FileDescriptorProto> = ::protobuf::rt::LazyV2::INIT;
  
  fn parse_descriptor_proto() -> ::protobuf::descriptor::FileDescriptorProto {
      ::protobuf::Message::parse_from_bytes(file_descriptor_proto_data).unwrap()
  }
  
  pub fn file_descriptor_proto() -> &'static ::protobuf::descriptor::FileDescriptorProto {
      file_descriptor_proto_lazy.get(|| {
          parse_descriptor_proto()
      })
  }
  