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neilisaac / torch   python

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Version: 1.8.0 

/ include / torch / csrc / jit / passes / constant_propagation.h

#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)
TORCH_API void ConstantPropagation(
    std::shared_ptr<Graph>& graph,
    bool ignore_custom_classes = false);

// runs constant propagation only on ops that have non-aliasing inputs & outputs
TORCH_API void 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);

} // namespace jit
} // namespace torch