#![allow(unused)]
use crate::lexer::PtxToken;
use crate::parser::{PtxParseError, PtxParser, PtxTokenStream, Span};
use crate::r#type::common::*;
pub mod section_0 {
use super::*;
use crate::r#type::instruction::cp_async_bulk_prefetch_tensor::section_0::*;
impl PtxParser for Dim {
fn parse(stream: &mut PtxTokenStream) -> Result<Self, PtxParseError> {
{
let saved_pos = stream.position();
if stream.expect_string(".1d").is_ok() {
return Ok(Dim::_1d);
}
stream.set_position(saved_pos);
}
let saved_pos = stream.position();
{
let saved_pos = stream.position();
if stream.expect_string(".2d").is_ok() {
return Ok(Dim::_2d);
}
stream.set_position(saved_pos);
}
stream.set_position(saved_pos);
let saved_pos = stream.position();
{
let saved_pos = stream.position();
if stream.expect_string(".3d").is_ok() {
return Ok(Dim::_3d);
}
stream.set_position(saved_pos);
}
stream.set_position(saved_pos);
let saved_pos = stream.position();
{
let saved_pos = stream.position();
if stream.expect_string(".4d").is_ok() {
return Ok(Dim::_4d);
}
stream.set_position(saved_pos);
}
stream.set_position(saved_pos);
let saved_pos = stream.position();
{
let saved_pos = stream.position();
if stream.expect_string(".5d").is_ok() {
return Ok(Dim::_5d);
}
stream.set_position(saved_pos);
}
stream.set_position(saved_pos);
let span = stream
.peek()
.map(|(_, s)| s.clone())
.unwrap_or(Span { start: 0, end: 0 });
let expected = &[".1d", ".2d", ".3d", ".4d", ".5d"];
let found = stream
.peek()
.map(|(t, _)| format!("{:?}", t))
.unwrap_or_else(|_| "<end of input>".to_string());
Err(crate::parser::unexpected_value(span, expected, found))
}
}
impl PtxParser for LevelCacheHint {
fn parse(stream: &mut PtxTokenStream) -> Result<Self, PtxParseError> {
{
let saved_pos = stream.position();
if stream.expect_string(".L2::cache_hint").is_ok() {
return Ok(LevelCacheHint::L2CacheHint);
}
stream.set_position(saved_pos);
}
let span = stream
.peek()
.map(|(_, s)| s.clone())
.unwrap_or(Span { start: 0, end: 0 });
let expected = &[".L2::cache_hint"];
let found = stream
.peek()
.map(|(t, _)| format!("{:?}", t))
.unwrap_or_else(|_| "<end of input>".to_string());
Err(crate::parser::unexpected_value(span, expected, found))
}
}
impl PtxParser for LoadMode {
fn parse(stream: &mut PtxTokenStream) -> Result<Self, PtxParseError> {
{
let saved_pos = stream.position();
if stream.expect_string(".im2col::w::128").is_ok() {
return Ok(LoadMode::Im2colW128);
}
stream.set_position(saved_pos);
}
let saved_pos = stream.position();
{
let saved_pos = stream.position();
if stream.expect_string(".tile::gather4").is_ok() {
return Ok(LoadMode::TileGather4);
}
stream.set_position(saved_pos);
}
stream.set_position(saved_pos);
let saved_pos = stream.position();
{
let saved_pos = stream.position();
if stream.expect_string(".im2col::w").is_ok() {
return Ok(LoadMode::Im2colW);
}
stream.set_position(saved_pos);
}
stream.set_position(saved_pos);
let saved_pos = stream.position();
{
let saved_pos = stream.position();
if stream.expect_string(".im2col").is_ok() {
return Ok(LoadMode::Im2col);
}
stream.set_position(saved_pos);
}
stream.set_position(saved_pos);
let saved_pos = stream.position();
{
let saved_pos = stream.position();
if stream.expect_string(".tile").is_ok() {
return Ok(LoadMode::Tile);
}
stream.set_position(saved_pos);
}
stream.set_position(saved_pos);
let span = stream
.peek()
.map(|(_, s)| s.clone())
.unwrap_or(Span { start: 0, end: 0 });
let expected = &[
".im2col::w::128",
".tile::gather4",
".im2col::w",
".im2col",
".tile",
];
let found = stream
.peek()
.map(|(t, _)| format!("{:?}", t))
.unwrap_or_else(|_| "<end of input>".to_string());
Err(crate::parser::unexpected_value(span, expected, found))
}
}
impl PtxParser for Src {
fn parse(stream: &mut PtxTokenStream) -> Result<Self, PtxParseError> {
{
let saved_pos = stream.position();
if stream.expect_string(".global").is_ok() {
return Ok(Src::Global);
}
stream.set_position(saved_pos);
}
let span = stream
.peek()
.map(|(_, s)| s.clone())
.unwrap_or(Span { start: 0, end: 0 });
let expected = &[".global"];
let found = stream
.peek()
.map(|(t, _)| format!("{:?}", t))
.unwrap_or_else(|_| "<end of input>".to_string());
Err(crate::parser::unexpected_value(span, expected, found))
}
}
impl PtxParser for CpAsyncBulkPrefetchTensorDimL2SrcLoadModeLevelCacheHint {
fn parse(stream: &mut PtxTokenStream) -> Result<Self, PtxParseError> {
stream.expect_string("cp")?;
stream.expect_string(".async")?;
let async_ = ();
stream.expect_complete()?;
stream.expect_string(".bulk")?;
let bulk = ();
stream.expect_complete()?;
stream.expect_string(".prefetch")?;
let prefetch = ();
stream.expect_complete()?;
stream.expect_string(".tensor")?;
let tensor = ();
stream.expect_complete()?;
let dim = Dim::parse(stream)?;
stream.expect_complete()?;
stream.expect_string(".L2")?;
let l2 = ();
stream.expect_complete()?;
let src = Src::parse(stream)?;
stream.expect_complete()?;
let saved_pos = stream.position();
let load_mode = match LoadMode::parse(stream) {
Ok(val) => Some(val),
Err(_) => {
stream.set_position(saved_pos);
None
}
};
stream.expect_complete()?;
let saved_pos = stream.position();
let level_cache_hint = match LevelCacheHint::parse(stream) {
Ok(val) => Some(val),
Err(_) => {
stream.set_position(saved_pos);
None
}
};
stream.expect_complete()?;
let tensormap = TexHandler2::parse(stream)?;
stream.expect_complete()?;
let saved_pos = stream.position();
let has_comma = stream.expect(&PtxToken::Comma).is_ok();
if !has_comma {
stream.set_position(saved_pos);
}
let saved_pos = stream.position();
let im2colinfo = match GeneralOperand::parse(stream) {
Ok(val) => Some(val),
Err(_) => {
stream.set_position(saved_pos);
None
}
};
stream.expect_complete()?;
let saved_pos = stream.position();
let has_comma = stream.expect(&PtxToken::Comma).is_ok();
if !has_comma {
stream.set_position(saved_pos);
}
let saved_pos = stream.position();
let cache_policy = match GeneralOperand::parse(stream) {
Ok(val) => Some(val),
Err(_) => {
stream.set_position(saved_pos);
None
}
};
stream.expect_complete()?;
stream.expect_complete()?;
stream.expect(&PtxToken::Semicolon)?;
Ok(CpAsyncBulkPrefetchTensorDimL2SrcLoadModeLevelCacheHint {
async_,
bulk,
prefetch,
tensor,
dim,
l2,
src,
load_mode,
level_cache_hint,
tensormap,
im2colinfo,
cache_policy,
})
}
}
}