forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
constant_propagation.h
32 lines (26 loc) · 1.28 KB
/
constant_propagation.h
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 <torch/csrc/jit/ir/ir.h>
namespace torch {
namespace jit {
// Runs constant propagation on all objects unless ignore_custom_classes is
// specified as true, in which case user defined classes are skipped. This is
// useful to prevent early fusion of packing operations, which end up lowering
// away information about their constructors (e.g. packed::linear_clamp_prepack
// and prepacked::conv2d_clamp_prepack)
// Returns True if the pass made a change to the graph
TORCH_API bool ConstantPropagation(
std::shared_ptr<Graph>& graph,
bool ignore_custom_classes = false);
// runs constant propagation only on ops that have non-aliasing inputs & outputs
// Returns True if the pass made a change to the graph
TORCH_API bool ConstantPropagationImmutableTypes(std::shared_ptr<Graph>& graph);
// Runs the node if its inputs are constants. Callers of this function must
// make their own determination if constant prop is appropriate - for example
// non-deterministic ops or ops with side effects. If ignore_custom_classes is
// specified, nodes that output user defined classes are not run.
TORCH_API c10::optional<Stack> runNodeIfInputsAreConstant(
const Node* node,
bool ignore_custom_classes = false,
AliasDb* db = nullptr);
} // namespace jit
} // namespace torch