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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
#![allow(dead_code)]
#![allow(unused_imports)]
use crate::ipc::gen::Schema::*;
use flatbuffers::EndianScalar;
use std::{cmp::Ordering, mem};
// automatically generated by the FlatBuffers compiler, do not modify
pub enum TensorDimOffset {}
#[derive(Copy, Clone, PartialEq)]
/// ----------------------------------------------------------------------
/// Data structures for dense tensors
/// Shape data for a single axis in a tensor
pub struct TensorDim<'a> {
pub _tab: flatbuffers::Table<'a>,
}
impl<'a> flatbuffers::Follow<'a> for TensorDim<'a> {
type Inner = TensorDim<'a>;
#[inline]
fn follow(buf: &'a [u8], loc: usize) -> Self::Inner {
Self {
_tab: flatbuffers::Table { buf, loc },
}
}
}
impl<'a> TensorDim<'a> {
#[inline]
pub fn init_from_table(table: flatbuffers::Table<'a>) -> Self {
TensorDim { _tab: table }
}
#[allow(unused_mut)]
pub fn create<'bldr: 'args, 'args: 'mut_bldr, 'mut_bldr>(
_fbb: &'mut_bldr mut flatbuffers::FlatBufferBuilder<'bldr>,
args: &'args TensorDimArgs<'args>,
) -> flatbuffers::WIPOffset<TensorDim<'bldr>> {
let mut builder = TensorDimBuilder::new(_fbb);
builder.add_size_(args.size_);
if let Some(x) = args.name {
builder.add_name(x);
}
builder.finish()
}
pub const VT_SIZE_: flatbuffers::VOffsetT = 4;
pub const VT_NAME: flatbuffers::VOffsetT = 6;
/// Length of dimension
#[inline]
pub fn size_(&self) -> i64 {
self._tab.get::<i64>(TensorDim::VT_SIZE_, Some(0)).unwrap()
}
/// Name of the dimension, optional
#[inline]
pub fn name(&self) -> Option<&'a str> {
self._tab
.get::<flatbuffers::ForwardsUOffset<&str>>(TensorDim::VT_NAME, None)
}
}
impl flatbuffers::Verifiable for TensorDim<'_> {
#[inline]
fn run_verifier(
v: &mut flatbuffers::Verifier,
pos: usize,
) -> Result<(), flatbuffers::InvalidFlatbuffer> {
use flatbuffers::Verifiable;
v.visit_table(pos)?
.visit_field::<i64>(&"size_", Self::VT_SIZE_, false)?
.visit_field::<flatbuffers::ForwardsUOffset<&str>>(
&"name",
Self::VT_NAME,
false,
)?
.finish();
Ok(())
}
}
pub struct TensorDimArgs<'a> {
pub size_: i64,
pub name: Option<flatbuffers::WIPOffset<&'a str>>,
}
impl<'a> Default for TensorDimArgs<'a> {
#[inline]
fn default() -> Self {
TensorDimArgs {
size_: 0,
name: None,
}
}
}
pub struct TensorDimBuilder<'a: 'b, 'b> {
fbb_: &'b mut flatbuffers::FlatBufferBuilder<'a>,
start_: flatbuffers::WIPOffset<flatbuffers::TableUnfinishedWIPOffset>,
}
impl<'a: 'b, 'b> TensorDimBuilder<'a, 'b> {
#[inline]
pub fn add_size_(&mut self, size_: i64) {
self.fbb_.push_slot::<i64>(TensorDim::VT_SIZE_, size_, 0);
}
#[inline]
pub fn add_name(&mut self, name: flatbuffers::WIPOffset<&'b str>) {
self.fbb_
.push_slot_always::<flatbuffers::WIPOffset<_>>(TensorDim::VT_NAME, name);
}
#[inline]
pub fn new(
_fbb: &'b mut flatbuffers::FlatBufferBuilder<'a>,
) -> TensorDimBuilder<'a, 'b> {
let start = _fbb.start_table();
TensorDimBuilder {
fbb_: _fbb,
start_: start,
}
}
#[inline]
pub fn finish(self) -> flatbuffers::WIPOffset<TensorDim<'a>> {
let o = self.fbb_.end_table(self.start_);
flatbuffers::WIPOffset::new(o.value())
}
}
impl std::fmt::Debug for TensorDim<'_> {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let mut ds = f.debug_struct("TensorDim");
ds.field("size_", &self.size_());
ds.field("name", &self.name());
ds.finish()
}
}
pub enum TensorOffset {}
#[derive(Copy, Clone, PartialEq)]
pub struct Tensor<'a> {
pub _tab: flatbuffers::Table<'a>,
}
impl<'a> flatbuffers::Follow<'a> for Tensor<'a> {
type Inner = Tensor<'a>;
#[inline]
fn follow(buf: &'a [u8], loc: usize) -> Self::Inner {
Self {
_tab: flatbuffers::Table { buf, loc },
}
}
}
impl<'a> Tensor<'a> {
#[inline]
pub fn init_from_table(table: flatbuffers::Table<'a>) -> Self {
Tensor { _tab: table }
}
#[allow(unused_mut)]
pub fn create<'bldr: 'args, 'args: 'mut_bldr, 'mut_bldr>(
_fbb: &'mut_bldr mut flatbuffers::FlatBufferBuilder<'bldr>,
args: &'args TensorArgs<'args>,
) -> flatbuffers::WIPOffset<Tensor<'bldr>> {
let mut builder = TensorBuilder::new(_fbb);
if let Some(x) = args.data {
builder.add_data(x);
}
if let Some(x) = args.strides {
builder.add_strides(x);
}
if let Some(x) = args.shape {
builder.add_shape(x);
}
if let Some(x) = args.type_ {
builder.add_type_(x);
}
builder.add_type_type(args.type_type);
builder.finish()
}
pub const VT_TYPE_TYPE: flatbuffers::VOffsetT = 4;
pub const VT_TYPE_: flatbuffers::VOffsetT = 6;
pub const VT_SHAPE: flatbuffers::VOffsetT = 8;
pub const VT_STRIDES: flatbuffers::VOffsetT = 10;
pub const VT_DATA: flatbuffers::VOffsetT = 12;
#[inline]
pub fn type_type(&self) -> Type {
self._tab
.get::<Type>(Tensor::VT_TYPE_TYPE, Some(Type::NONE))
.unwrap()
}
/// The type of data contained in a value cell. Currently only fixed-width
/// value types are supported, no strings or nested types
#[inline]
pub fn type_(&self) -> flatbuffers::Table<'a> {
self._tab
.get::<flatbuffers::ForwardsUOffset<flatbuffers::Table<'a>>>(
Tensor::VT_TYPE_,
None,
)
.unwrap()
}
/// The dimensions of the tensor, optionally named
#[inline]
pub fn shape(
&self,
) -> flatbuffers::Vector<'a, flatbuffers::ForwardsUOffset<TensorDim<'a>>> {
self._tab
.get::<flatbuffers::ForwardsUOffset<
flatbuffers::Vector<'a, flatbuffers::ForwardsUOffset<TensorDim>>,
>>(Tensor::VT_SHAPE, None)
.unwrap()
}
/// Non-negative byte offsets to advance one value cell along each dimension
/// If omitted, default to row-major order (C-like).
#[inline]
pub fn strides(&self) -> Option<flatbuffers::Vector<'a, i64>> {
self._tab
.get::<flatbuffers::ForwardsUOffset<flatbuffers::Vector<'a, i64>>>(
Tensor::VT_STRIDES,
None,
)
}
/// The location and size of the tensor's data
#[inline]
pub fn data(&self) -> &'a Buffer {
self._tab.get::<Buffer>(Tensor::VT_DATA, None).unwrap()
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_null(&self) -> Option<Null<'a>> {
if self.type_type() == Type::Null {
let u = self.type_();
Some(Null::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_int(&self) -> Option<Int<'a>> {
if self.type_type() == Type::Int {
let u = self.type_();
Some(Int::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_floating_point(&self) -> Option<FloatingPoint<'a>> {
if self.type_type() == Type::FloatingPoint {
let u = self.type_();
Some(FloatingPoint::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_binary(&self) -> Option<Binary<'a>> {
if self.type_type() == Type::Binary {
let u = self.type_();
Some(Binary::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_utf_8(&self) -> Option<Utf8<'a>> {
if self.type_type() == Type::Utf8 {
let u = self.type_();
Some(Utf8::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_bool(&self) -> Option<Bool<'a>> {
if self.type_type() == Type::Bool {
let u = self.type_();
Some(Bool::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_decimal(&self) -> Option<Decimal<'a>> {
if self.type_type() == Type::Decimal {
let u = self.type_();
Some(Decimal::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_date(&self) -> Option<Date<'a>> {
if self.type_type() == Type::Date {
let u = self.type_();
Some(Date::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_time(&self) -> Option<Time<'a>> {
if self.type_type() == Type::Time {
let u = self.type_();
Some(Time::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_timestamp(&self) -> Option<Timestamp<'a>> {
if self.type_type() == Type::Timestamp {
let u = self.type_();
Some(Timestamp::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_interval(&self) -> Option<Interval<'a>> {
if self.type_type() == Type::Interval {
let u = self.type_();
Some(Interval::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_list(&self) -> Option<List<'a>> {
if self.type_type() == Type::List {
let u = self.type_();
Some(List::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_struct_(&self) -> Option<Struct_<'a>> {
if self.type_type() == Type::Struct_ {
let u = self.type_();
Some(Struct_::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_union(&self) -> Option<Union<'a>> {
if self.type_type() == Type::Union {
let u = self.type_();
Some(Union::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_fixed_size_binary(&self) -> Option<FixedSizeBinary<'a>> {
if self.type_type() == Type::FixedSizeBinary {
let u = self.type_();
Some(FixedSizeBinary::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_fixed_size_list(&self) -> Option<FixedSizeList<'a>> {
if self.type_type() == Type::FixedSizeList {
let u = self.type_();
Some(FixedSizeList::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_map(&self) -> Option<Map<'a>> {
if self.type_type() == Type::Map {
let u = self.type_();
Some(Map::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_duration(&self) -> Option<Duration<'a>> {
if self.type_type() == Type::Duration {
let u = self.type_();
Some(Duration::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_large_binary(&self) -> Option<LargeBinary<'a>> {
if self.type_type() == Type::LargeBinary {
let u = self.type_();
Some(LargeBinary::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_large_utf_8(&self) -> Option<LargeUtf8<'a>> {
if self.type_type() == Type::LargeUtf8 {
let u = self.type_();
Some(LargeUtf8::init_from_table(u))
} else {
None
}
}
#[inline]
#[allow(non_snake_case)]
pub fn type_as_large_list(&self) -> Option<LargeList<'a>> {
if self.type_type() == Type::LargeList {
let u = self.type_();
Some(LargeList::init_from_table(u))
} else {
None
}
}
}
impl flatbuffers::Verifiable for Tensor<'_> {
#[inline]
fn run_verifier(
v: &mut flatbuffers::Verifier,
pos: usize,
) -> Result<(), flatbuffers::InvalidFlatbuffer> {
use flatbuffers::Verifiable;
v.visit_table(pos)?
.visit_union::<Type, _>(&"type_type", Self::VT_TYPE_TYPE, &"type_", Self::VT_TYPE_, true, |key, v, pos| {
match key {
Type::Null => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Null>>("Type::Null", pos),
Type::Int => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Int>>("Type::Int", pos),
Type::FloatingPoint => v.verify_union_variant::<flatbuffers::ForwardsUOffset<FloatingPoint>>("Type::FloatingPoint", pos),
Type::Binary => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Binary>>("Type::Binary", pos),
Type::Utf8 => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Utf8>>("Type::Utf8", pos),
Type::Bool => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Bool>>("Type::Bool", pos),
Type::Decimal => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Decimal>>("Type::Decimal", pos),
Type::Date => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Date>>("Type::Date", pos),
Type::Time => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Time>>("Type::Time", pos),
Type::Timestamp => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Timestamp>>("Type::Timestamp", pos),
Type::Interval => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Interval>>("Type::Interval", pos),
Type::List => v.verify_union_variant::<flatbuffers::ForwardsUOffset<List>>("Type::List", pos),
Type::Struct_ => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Struct_>>("Type::Struct_", pos),
Type::Union => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Union>>("Type::Union", pos),
Type::FixedSizeBinary => v.verify_union_variant::<flatbuffers::ForwardsUOffset<FixedSizeBinary>>("Type::FixedSizeBinary", pos),
Type::FixedSizeList => v.verify_union_variant::<flatbuffers::ForwardsUOffset<FixedSizeList>>("Type::FixedSizeList", pos),
Type::Map => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Map>>("Type::Map", pos),
Type::Duration => v.verify_union_variant::<flatbuffers::ForwardsUOffset<Duration>>("Type::Duration", pos),
Type::LargeBinary => v.verify_union_variant::<flatbuffers::ForwardsUOffset<LargeBinary>>("Type::LargeBinary", pos),
Type::LargeUtf8 => v.verify_union_variant::<flatbuffers::ForwardsUOffset<LargeUtf8>>("Type::LargeUtf8", pos),
Type::LargeList => v.verify_union_variant::<flatbuffers::ForwardsUOffset<LargeList>>("Type::LargeList", pos),
_ => Ok(()),
}
})?
.visit_field::<flatbuffers::ForwardsUOffset<flatbuffers::Vector<'_, flatbuffers::ForwardsUOffset<TensorDim>>>>(&"shape", Self::VT_SHAPE, true)?
.visit_field::<flatbuffers::ForwardsUOffset<flatbuffers::Vector<'_, i64>>>(&"strides", Self::VT_STRIDES, false)?
.visit_field::<Buffer>(&"data", Self::VT_DATA, true)?
.finish();
Ok(())
}
}
pub struct TensorArgs<'a> {
pub type_type: Type,
pub type_: Option<flatbuffers::WIPOffset<flatbuffers::UnionWIPOffset>>,
pub shape: Option<
flatbuffers::WIPOffset<
flatbuffers::Vector<'a, flatbuffers::ForwardsUOffset<TensorDim<'a>>>,
>,
>,
pub strides: Option<flatbuffers::WIPOffset<flatbuffers::Vector<'a, i64>>>,
pub data: Option<&'a Buffer>,
}
impl<'a> Default for TensorArgs<'a> {
#[inline]
fn default() -> Self {
TensorArgs {
type_type: Type::NONE,
type_: None, // required field
shape: None, // required field
strides: None,
data: None, // required field
}
}
}
pub struct TensorBuilder<'a: 'b, 'b> {
fbb_: &'b mut flatbuffers::FlatBufferBuilder<'a>,
start_: flatbuffers::WIPOffset<flatbuffers::TableUnfinishedWIPOffset>,
}
impl<'a: 'b, 'b> TensorBuilder<'a, 'b> {
#[inline]
pub fn add_type_type(&mut self, type_type: Type) {
self.fbb_
.push_slot::<Type>(Tensor::VT_TYPE_TYPE, type_type, Type::NONE);
}
#[inline]
pub fn add_type_(
&mut self,
type_: flatbuffers::WIPOffset<flatbuffers::UnionWIPOffset>,
) {
self.fbb_
.push_slot_always::<flatbuffers::WIPOffset<_>>(Tensor::VT_TYPE_, type_);
}
#[inline]
pub fn add_shape(
&mut self,
shape: flatbuffers::WIPOffset<
flatbuffers::Vector<'b, flatbuffers::ForwardsUOffset<TensorDim<'b>>>,
>,
) {
self.fbb_
.push_slot_always::<flatbuffers::WIPOffset<_>>(Tensor::VT_SHAPE, shape);
}
#[inline]
pub fn add_strides(
&mut self,
strides: flatbuffers::WIPOffset<flatbuffers::Vector<'b, i64>>,
) {
self.fbb_
.push_slot_always::<flatbuffers::WIPOffset<_>>(Tensor::VT_STRIDES, strides);
}
#[inline]
pub fn add_data(&mut self, data: &Buffer) {
self.fbb_.push_slot_always::<&Buffer>(Tensor::VT_DATA, data);
}
#[inline]
pub fn new(
_fbb: &'b mut flatbuffers::FlatBufferBuilder<'a>,
) -> TensorBuilder<'a, 'b> {
let start = _fbb.start_table();
TensorBuilder {
fbb_: _fbb,
start_: start,
}
}
#[inline]
pub fn finish(self) -> flatbuffers::WIPOffset<Tensor<'a>> {
let o = self.fbb_.end_table(self.start_);
self.fbb_.required(o, Tensor::VT_TYPE_, "type_");
self.fbb_.required(o, Tensor::VT_SHAPE, "shape");
self.fbb_.required(o, Tensor::VT_DATA, "data");
flatbuffers::WIPOffset::new(o.value())
}
}
impl std::fmt::Debug for Tensor<'_> {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let mut ds = f.debug_struct("Tensor");
ds.field("type_type", &self.type_type());
match self.type_type() {
Type::Null => {
if let Some(x) = self.type_as_null() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Int => {
if let Some(x) = self.type_as_int() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::FloatingPoint => {
if let Some(x) = self.type_as_floating_point() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Binary => {
if let Some(x) = self.type_as_binary() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Utf8 => {
if let Some(x) = self.type_as_utf_8() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Bool => {
if let Some(x) = self.type_as_bool() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Decimal => {
if let Some(x) = self.type_as_decimal() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Date => {
if let Some(x) = self.type_as_date() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Time => {
if let Some(x) = self.type_as_time() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Timestamp => {
if let Some(x) = self.type_as_timestamp() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Interval => {
if let Some(x) = self.type_as_interval() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::List => {
if let Some(x) = self.type_as_list() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Struct_ => {
if let Some(x) = self.type_as_struct_() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Union => {
if let Some(x) = self.type_as_union() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::FixedSizeBinary => {
if let Some(x) = self.type_as_fixed_size_binary() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::FixedSizeList => {
if let Some(x) = self.type_as_fixed_size_list() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Map => {
if let Some(x) = self.type_as_map() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::Duration => {
if let Some(x) = self.type_as_duration() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::LargeBinary => {
if let Some(x) = self.type_as_large_binary() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::LargeUtf8 => {
if let Some(x) = self.type_as_large_utf_8() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
Type::LargeList => {
if let Some(x) = self.type_as_large_list() {
ds.field("type_", &x)
} else {
ds.field(
"type_",
&"InvalidFlatbuffer: Union discriminant does not match value.",
)
}
}
_ => {
let x: Option<()> = None;
ds.field("type_", &x)
}
};
ds.field("shape", &self.shape());
ds.field("strides", &self.strides());
ds.field("data", &self.data());
ds.finish()
}
}
#[inline]
#[deprecated(since = "2.0.0", note = "Deprecated in favor of `root_as...` methods.")]
pub fn get_root_as_tensor<'a>(buf: &'a [u8]) -> Tensor<'a> {
unsafe { flatbuffers::root_unchecked::<Tensor<'a>>(buf) }
}
#[inline]
#[deprecated(since = "2.0.0", note = "Deprecated in favor of `root_as...` methods.")]
pub fn get_size_prefixed_root_as_tensor<'a>(buf: &'a [u8]) -> Tensor<'a> {
unsafe { flatbuffers::size_prefixed_root_unchecked::<Tensor<'a>>(buf) }
}
#[inline]
/// Verifies that a buffer of bytes contains a `Tensor`
/// and returns it.
/// Note that verification is still experimental and may not
/// catch every error, or be maximally performant. For the
/// previous, unchecked, behavior use
/// `root_as_tensor_unchecked`.
pub fn root_as_tensor(buf: &[u8]) -> Result<Tensor, flatbuffers::InvalidFlatbuffer> {
flatbuffers::root::<Tensor>(buf)
}
#[inline]
/// Verifies that a buffer of bytes contains a size prefixed
/// `Tensor` and returns it.
/// Note that verification is still experimental and may not
/// catch every error, or be maximally performant. For the
/// previous, unchecked, behavior use
/// `size_prefixed_root_as_tensor_unchecked`.
pub fn size_prefixed_root_as_tensor(
buf: &[u8],
) -> Result<Tensor, flatbuffers::InvalidFlatbuffer> {
flatbuffers::size_prefixed_root::<Tensor>(buf)
}
#[inline]
/// Verifies, with the given options, that a buffer of bytes
/// contains a `Tensor` and returns it.
/// Note that verification is still experimental and may not
/// catch every error, or be maximally performant. For the
/// previous, unchecked, behavior use
/// `root_as_tensor_unchecked`.
pub fn root_as_tensor_with_opts<'b, 'o>(
opts: &'o flatbuffers::VerifierOptions,
buf: &'b [u8],
) -> Result<Tensor<'b>, flatbuffers::InvalidFlatbuffer> {
flatbuffers::root_with_opts::<Tensor<'b>>(opts, buf)
}
#[inline]
/// Verifies, with the given verifier options, that a buffer of
/// bytes contains a size prefixed `Tensor` and returns
/// it. Note that verification is still experimental and may not
/// catch every error, or be maximally performant. For the
/// previous, unchecked, behavior use
/// `root_as_tensor_unchecked`.
pub fn size_prefixed_root_as_tensor_with_opts<'b, 'o>(
opts: &'o flatbuffers::VerifierOptions,
buf: &'b [u8],
) -> Result<Tensor<'b>, flatbuffers::InvalidFlatbuffer> {
flatbuffers::size_prefixed_root_with_opts::<Tensor<'b>>(opts, buf)
}
#[inline]
/// Assumes, without verification, that a buffer of bytes contains a Tensor and returns it.
/// # Safety
/// Callers must trust the given bytes do indeed contain a valid `Tensor`.
pub unsafe fn root_as_tensor_unchecked(buf: &[u8]) -> Tensor {
flatbuffers::root_unchecked::<Tensor>(buf)
}
#[inline]
/// Assumes, without verification, that a buffer of bytes contains a size prefixed Tensor and returns it.
/// # Safety
/// Callers must trust the given bytes do indeed contain a valid size prefixed `Tensor`.
pub unsafe fn size_prefixed_root_as_tensor_unchecked(buf: &[u8]) -> Tensor {
flatbuffers::size_prefixed_root_unchecked::<Tensor>(buf)
}
#[inline]
pub fn finish_tensor_buffer<'a, 'b>(
fbb: &'b mut flatbuffers::FlatBufferBuilder<'a>,
root: flatbuffers::WIPOffset<Tensor<'a>>,
) {
fbb.finish(root, None);
}
#[inline]
pub fn finish_size_prefixed_tensor_buffer<'a, 'b>(
fbb: &'b mut flatbuffers::FlatBufferBuilder<'a>,
root: flatbuffers::WIPOffset<Tensor<'a>>,
) {
fbb.finish_size_prefixed(root, None);
}