File: lower_allocation.h

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (32 lines) | stat: -rw-r--r-- 761 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
#pragma once

#include <c10/macros/Export.h>

#include <torch/csrc/jit/codegen/cuda/ir_all_nodes.h>
#include <torch/csrc/jit/codegen/cuda/kernel_ir.h>

#include <vector>

namespace torch {
namespace jit {
namespace fuser {
namespace cuda {

//! Buffer allocation information to store in GPU lower to avoid
//!  logic duplication
struct LocalAllocationInfo {
  kir::Allocate* alloc_expr = nullptr;
  std::vector<IterDomain*> alloc_domains;
  bool has_halo = false;
};

using LocalAllocationInfoMap =
    std::unordered_map<kir::Allocate*, std::unique_ptr<LocalAllocationInfo>>;

//! Insert buffer allocations
std::vector<Expr*> insertAllocations(const std::vector<Expr*>& exprs);

} // namespace cuda
} // namespace fuser
} // namespace jit
} // namespace torch