ptx_parser/unparser/instruction/cp_reduce_async_bulk_tensor.rs
1//! Original PTX specification:
2//!
3//! // shared::cta -> global
4//! cp.reduce.async.bulk.tensor.dim.dst.src.redOp{.load_mode}.completion_mechanism{.level::cache_hint} [tensorMap, tensorCoords], [srcMem] {,cache-policy};
5//! .dst = { .global };
6//! .src = { .shared::cta };
7//! .dim = { .1d, .2d, .3d, .4d, .5d };
8//! .completion_mechanism = { .bulk_group };
9//! .load_mode = { .tile, .im2col_no_offs };
10//! .redOp = { .add, .min, .max, .inc, .dec, .and, .or, .xor};
11
12#![allow(unused)]
13
14use crate::lexer::PtxToken;
15use crate::unparser::{PtxUnparser, common::*};
16
17pub mod section_0 {
18 use super::*;
19 use crate::r#type::instruction::cp_reduce_async_bulk_tensor::section_0::*;
20
21 impl PtxUnparser for CpReduceAsyncBulkTensorDimDstSrcRedopLoadModeCompletionMechanismLevelCacheHint {
22 fn unparse_tokens(&self, tokens: &mut ::std::vec::Vec<PtxToken>) {
23 push_opcode(tokens, "cp");
24 push_directive(tokens, "reduce");
25 push_directive(tokens, "async");
26 push_directive(tokens, "bulk");
27 push_directive(tokens, "tensor");
28 match &self.dim {
29 Dim::_1d => {
30 push_directive(tokens, "1d");
31 }
32 Dim::_2d => {
33 push_directive(tokens, "2d");
34 }
35 Dim::_3d => {
36 push_directive(tokens, "3d");
37 }
38 Dim::_4d => {
39 push_directive(tokens, "4d");
40 }
41 Dim::_5d => {
42 push_directive(tokens, "5d");
43 }
44 }
45 match &self.dst {
46 Dst::Global => {
47 push_directive(tokens, "global");
48 }
49 }
50 match &self.src {
51 Src::SharedCta => {
52 push_directive(tokens, "shared::cta");
53 }
54 }
55 match &self.redop {
56 Redop::Add => {
57 push_directive(tokens, "add");
58 }
59 Redop::Min => {
60 push_directive(tokens, "min");
61 }
62 Redop::Max => {
63 push_directive(tokens, "max");
64 }
65 Redop::Inc => {
66 push_directive(tokens, "inc");
67 }
68 Redop::Dec => {
69 push_directive(tokens, "dec");
70 }
71 Redop::And => {
72 push_directive(tokens, "and");
73 }
74 Redop::Xor => {
75 push_directive(tokens, "xor");
76 }
77 Redop::Or => {
78 push_directive(tokens, "or");
79 }
80 }
81 if let Some(load_mode_0) = self.load_mode.as_ref() {
82 match load_mode_0 {
83 LoadMode::Im2colNoOffs => {
84 push_directive(tokens, "im2col_no_offs");
85 }
86 LoadMode::Tile => {
87 push_directive(tokens, "tile");
88 }
89 }
90 }
91 match &self.completion_mechanism {
92 CompletionMechanism::BulkGroup => {
93 push_directive(tokens, "bulk_group");
94 }
95 }
96 if self.level_cache_hint {
97 push_directive(tokens, "level::cache_hint");
98 }
99 self.tensormap.unparse_tokens(tokens);
100 tokens.push(PtxToken::Comma);
101 self.srcmem.unparse_tokens(tokens);
102 if self.cache_policy.is_some() { tokens.push(PtxToken::Comma); }
103 if let Some(opt_1) = self.cache_policy.as_ref() {
104 opt_1.unparse_tokens(tokens);
105 }
106 tokens.push(PtxToken::Semicolon);
107 }
108 }
109
110}
111