tensorflow-protobuf 0.0.0

// This file is generated by rust-protobuf 3.2.0. Do not edit
// .proto file is parsed by pure
// @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_results)]
#![allow(unused_mut)]

//! 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_3_2_0;

#[derive(PartialEq,Clone,Default,Debug)]
// @@protoc_insertion_point(message:tensorflow.TensorShapeProto)
pub struct TensorShapeProto {
    // message fields
    // @@protoc_insertion_point(field:tensorflow.TensorShapeProto.dim)
    pub dim: ::std::vec::Vec<tensor_shape_proto::Dim>,
    // @@protoc_insertion_point(field:tensorflow.TensorShapeProto.unknown_rank)
    pub unknown_rank: bool,
    // special fields
    // @@protoc_insertion_point(special_field:tensorflow.TensorShapeProto.special_fields)
    pub special_fields: ::protobuf::SpecialFields,
}

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()
    }

    fn generated_message_descriptor_data() -> ::protobuf::reflect::GeneratedMessageDescriptorData {
        let mut fields = ::std::vec::Vec::with_capacity(2);
        let mut oneofs = ::std::vec::Vec::with_capacity(0);
        fields.push(::protobuf::reflect::rt::v2::make_vec_simpler_accessor::<_, _>(
            "dim",
            |m: &TensorShapeProto| { &m.dim },
            |m: &mut TensorShapeProto| { &mut m.dim },
        ));
        fields.push(::protobuf::reflect::rt::v2::make_simpler_field_accessor::<_, _>(
            "unknown_rank",
            |m: &TensorShapeProto| { &m.unknown_rank },
            |m: &mut TensorShapeProto| { &mut m.unknown_rank },
        ));
        ::protobuf::reflect::GeneratedMessageDescriptorData::new_2::<TensorShapeProto>(
            "TensorShapeProto",
            fields,
            oneofs,
        )
    }
}

impl ::protobuf::Message for TensorShapeProto {
    const NAME: &'static str = "TensorShapeProto";

    fn is_initialized(&self) -> bool {
        true
    }

    fn merge_from(&mut self, is: &mut ::protobuf::CodedInputStream<'_>) -> ::protobuf::Result<()> {
        while let Some(tag) = is.read_raw_tag_or_eof()? {
            match tag {
                18 => {
                    self.dim.push(is.read_message()?);
                },
                24 => {
                    self.unknown_rank = is.read_bool()?;
                },
                tag => {
                    ::protobuf::rt::read_unknown_or_skip_group(tag, is, self.special_fields.mut_unknown_fields())?;
                },
            };
        }
        ::std::result::Result::Ok(())
    }

    // Compute sizes of nested messages
    #[allow(unused_variables)]
    fn compute_size(&self) -> u64 {
        let mut my_size = 0;
        for value in &self.dim {
            let len = value.compute_size();
            my_size += 1 + ::protobuf::rt::compute_raw_varint64_size(len) + len;
        };
        if self.unknown_rank != false {
            my_size += 1 + 1;
        }
        my_size += ::protobuf::rt::unknown_fields_size(self.special_fields.unknown_fields());
        self.special_fields.cached_size().set(my_size as u32);
        my_size
    }

    fn write_to_with_cached_sizes(&self, os: &mut ::protobuf::CodedOutputStream<'_>) -> ::protobuf::Result<()> {
        for v in &self.dim {
            ::protobuf::rt::write_message_field_with_cached_size(2, v, os)?;
        };
        if self.unknown_rank != false {
            os.write_bool(3, self.unknown_rank)?;
        }
        os.write_unknown_fields(self.special_fields.unknown_fields())?;
        ::std::result::Result::Ok(())
    }

    fn special_fields(&self) -> &::protobuf::SpecialFields {
        &self.special_fields
    }

    fn mut_special_fields(&mut self) -> &mut ::protobuf::SpecialFields {
        &mut self.special_fields
    }

    fn new() -> TensorShapeProto {
        TensorShapeProto::new()
    }

    fn clear(&mut self) {
        self.dim.clear();
        self.unknown_rank = false;
        self.special_fields.clear();
    }

    fn default_instance() -> &'static TensorShapeProto {
        static instance: TensorShapeProto = TensorShapeProto {
            dim: ::std::vec::Vec::new(),
            unknown_rank: false,
            special_fields: ::protobuf::SpecialFields::new(),
        };
        &instance
    }
}

impl ::protobuf::MessageFull for TensorShapeProto {
    fn descriptor() -> ::protobuf::reflect::MessageDescriptor {
        static descriptor: ::protobuf::rt::Lazy<::protobuf::reflect::MessageDescriptor> = ::protobuf::rt::Lazy::new();
        descriptor.get(|| file_descriptor().message_by_package_relative_name("TensorShapeProto").unwrap()).clone()
    }
}

impl ::std::fmt::Display 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 {
    type RuntimeType = ::protobuf::reflect::rt::RuntimeTypeMessage<Self>;
}

/// Nested message and enums of message `TensorShapeProto`
pub mod tensor_shape_proto {
    #[derive(PartialEq,Clone,Default,Debug)]
    // @@protoc_insertion_point(message:tensorflow.TensorShapeProto.Dim)
    pub struct Dim {
        // message fields
        // @@protoc_insertion_point(field:tensorflow.TensorShapeProto.Dim.size)
        pub size: i64,
        // @@protoc_insertion_point(field:tensorflow.TensorShapeProto.Dim.name)
        pub name: ::std::string::String,
        // special fields
        // @@protoc_insertion_point(special_field:tensorflow.TensorShapeProto.Dim.special_fields)
        pub special_fields: ::protobuf::SpecialFields,
    }

    impl<'a> ::std::default::Default for &'a Dim {
        fn default() -> &'a Dim {
            <Dim as ::protobuf::Message>::default_instance()
        }
    }

    impl Dim {
        pub fn new() -> Dim {
            ::std::default::Default::default()
        }

        pub(in super) fn generated_message_descriptor_data() -> ::protobuf::reflect::GeneratedMessageDescriptorData {
            let mut fields = ::std::vec::Vec::with_capacity(2);
            let mut oneofs = ::std::vec::Vec::with_capacity(0);
            fields.push(::protobuf::reflect::rt::v2::make_simpler_field_accessor::<_, _>(
                "size",
                |m: &Dim| { &m.size },
                |m: &mut Dim| { &mut m.size },
            ));
            fields.push(::protobuf::reflect::rt::v2::make_simpler_field_accessor::<_, _>(
                "name",
                |m: &Dim| { &m.name },
                |m: &mut Dim| { &mut m.name },
            ));
            ::protobuf::reflect::GeneratedMessageDescriptorData::new_2::<Dim>(
                "TensorShapeProto.Dim",
                fields,
                oneofs,
            )
        }
    }

    impl ::protobuf::Message for Dim {
        const NAME: &'static str = "Dim";

        fn is_initialized(&self) -> bool {
            true
        }

        fn merge_from(&mut self, is: &mut ::protobuf::CodedInputStream<'_>) -> ::protobuf::Result<()> {
            while let Some(tag) = is.read_raw_tag_or_eof()? {
                match tag {
                    8 => {
                        self.size = is.read_int64()?;
                    },
                    18 => {
                        self.name = is.read_string()?;
                    },
                    tag => {
                        ::protobuf::rt::read_unknown_or_skip_group(tag, is, self.special_fields.mut_unknown_fields())?;
                    },
                };
            }
            ::std::result::Result::Ok(())
        }

        // Compute sizes of nested messages
        #[allow(unused_variables)]
        fn compute_size(&self) -> u64 {
            let mut my_size = 0;
            if self.size != 0 {
                my_size += ::protobuf::rt::int64_size(1, self.size);
            }
            if !self.name.is_empty() {
                my_size += ::protobuf::rt::string_size(2, &self.name);
            }
            my_size += ::protobuf::rt::unknown_fields_size(self.special_fields.unknown_fields());
            self.special_fields.cached_size().set(my_size as u32);
            my_size
        }

        fn write_to_with_cached_sizes(&self, os: &mut ::protobuf::CodedOutputStream<'_>) -> ::protobuf::Result<()> {
            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.special_fields.unknown_fields())?;
            ::std::result::Result::Ok(())
        }

        fn special_fields(&self) -> &::protobuf::SpecialFields {
            &self.special_fields
        }

        fn mut_special_fields(&mut self) -> &mut ::protobuf::SpecialFields {
            &mut self.special_fields
        }

        fn new() -> Dim {
            Dim::new()
        }

        fn clear(&mut self) {
            self.size = 0;
            self.name.clear();
            self.special_fields.clear();
        }

        fn default_instance() -> &'static Dim {
            static instance: Dim = Dim {
                size: 0,
                name: ::std::string::String::new(),
                special_fields: ::protobuf::SpecialFields::new(),
            };
            &instance
        }
    }

    impl ::protobuf::MessageFull for Dim {
        fn descriptor() -> ::protobuf::reflect::MessageDescriptor {
            static descriptor: ::protobuf::rt::Lazy<::protobuf::reflect::MessageDescriptor> = ::protobuf::rt::Lazy::new();
            descriptor.get(|| super::file_descriptor().message_by_package_relative_name("TensorShapeProto.Dim").unwrap()).clone()
        }
    }

    impl ::std::fmt::Display for Dim {
        fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
            ::protobuf::text_format::fmt(self, f)
        }
    }

    impl ::protobuf::reflect::ProtobufValue for Dim {
        type RuntimeType = ::protobuf::reflect::rt::RuntimeTypeMessage<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\
";

/// `FileDescriptorProto` object which was a source for this generated file
fn file_descriptor_proto() -> &'static ::protobuf::descriptor::FileDescriptorProto {
    static file_descriptor_proto_lazy: ::protobuf::rt::Lazy<::protobuf::descriptor::FileDescriptorProto> = ::protobuf::rt::Lazy::new();
    file_descriptor_proto_lazy.get(|| {
        ::protobuf::Message::parse_from_bytes(file_descriptor_proto_data).unwrap()
    })
}

/// `FileDescriptor` object which allows dynamic access to files
pub fn file_descriptor() -> &'static ::protobuf::reflect::FileDescriptor {
    static generated_file_descriptor_lazy: ::protobuf::rt::Lazy<::protobuf::reflect::GeneratedFileDescriptor> = ::protobuf::rt::Lazy::new();
    static file_descriptor: ::protobuf::rt::Lazy<::protobuf::reflect::FileDescriptor> = ::protobuf::rt::Lazy::new();
    file_descriptor.get(|| {
        let generated_file_descriptor = generated_file_descriptor_lazy.get(|| {
            let mut deps = ::std::vec::Vec::with_capacity(0);
            let mut messages = ::std::vec::Vec::with_capacity(2);
            messages.push(TensorShapeProto::generated_message_descriptor_data());
            messages.push(tensor_shape_proto::Dim::generated_message_descriptor_data());
            let mut enums = ::std::vec::Vec::with_capacity(0);
            ::protobuf::reflect::GeneratedFileDescriptor::new_generated(
                file_descriptor_proto(),
                deps,
                messages,
                enums,
            )
        });
        ::protobuf::reflect::FileDescriptor::new_generated_2(generated_file_descriptor)
    })
}