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#include <torch/csrc/jit/codegen/cuda/mutator.h>
#include <torch/csrc/jit/codegen/cuda/fusion.h>
#include <torch/csrc/jit/codegen/cuda/ir_all_nodes.h>
#include <vector>
namespace torch {
namespace jit {
namespace fuser {
void OptOutMutator::mutate(Fusion* fusion) {
std::vector<Expr*> orig_exprs = fusion->exprs();
/*
* We go through all the exprs, in topologically sorted order. We call mutate
* on them which could insert nodes, removes nodes, or both. These operations
* modify the dag and the Fusion will keep track of what has/hasn't been
* changed by the origin dependency tracking that it does. If an operation is
* added, and its output node is a val which previously was the output of
* another expresion, that older expresion will be removed as we can only
* assign a Val once due to our SSA restriction. Therefore we don't need to
* manually track what expressions stayed constant or were changed.
*/
for (Statement* stmt : orig_exprs)
mutate(stmt);
}
// MUTATE FUNCTIONS FOR VALS
Statement* OptOutMutator::mutate(IterDomain* id) {
Val* s = mutateAsVal(id->start())->asVal();
Val* e = mutateAsVal(id->extent())->asVal();
if (s->sameAs(id->start()) && e->sameAs(id->extent()))
return id;
Val* mutated_val = new IterDomain(
s, e, id->getParallelType(), id->getIterType(), id->isRFactorProduct());
registerMutation(id, mutated_val);
return mutated_val;
}
Statement* OptOutMutator::mutate(TensorDomain* td) {
std::vector<IterDomain*> dom;
bool mutated = false;
for (decltype(td->nDims()) i = 0; i < td->nDims(); i++) {
IterDomain* id = mutateAsVal(td->axis(i))->as<IterDomain>();
dom.push_back(id);
if (!id->sameAs(td->axis(i)))
mutated = true;
}
if (mutated) {
Val* mutated_val = new TensorDomain(
td->getRootDomain(), td->getRFactorDomain(), dom, td->contiguity());
registerMutation(td, mutated_val);
return mutated_val;
}
return td;
}
Statement* OptOutMutator::mutate(TensorView* tv) {
TensorDomain* td = mutateAsVal(tv->domain())->as<TensorDomain>();
TensorView* computeAtView = nullptr;
if (tv->hasComputeAt())
computeAtView = mutateAsVal(tv->getComputeAtView())->as<TensorView>();
if (!tv->domain()->sameAs(td) ||
(tv->hasComputeAt() && !tv->getComputeAtView()->sameAs(computeAtView))) {
TensorView* mutated_tv = new TensorView(td, tv->getDataType().value());
if (tv->hasComputeAt()) {
mutated_tv->setComputeAt(
computeAtView, (int)(tv->getRelativeComputeAtAxis()));
}
registerMutation(tv, mutated_tv);
return mutated_tv;
}
return tv;
}
Statement* OptOutMutator::mutate(kir::TensorIndex* ti) {
return ti;
}
Statement* OptOutMutator::mutate(Bool* b) {
return b;
}
Statement* OptOutMutator::mutate(Float* f) {
return f;
}
Statement* OptOutMutator::mutate(Half* h) {
return h;
}
Statement* OptOutMutator::mutate(Int* i) {
return i;
}
Statement* OptOutMutator::mutate(NamedScalar* ns) {
return ns;
}
// MUTATE FUNCTIONS FOR EXPRESSIONS.
Statement* OptOutMutator::mutate(kir::Allocate* a) {
return a;
}
Statement* OptOutMutator::mutate(kir::Sync* a) {
return a;
}
Statement* OptOutMutator::mutate(Split* s) {
IterDomain* ot = mutateAsVal(s->outer())->as<IterDomain>();
IterDomain* inr = mutateAsVal(s->inner())->as<IterDomain>();
IterDomain* in = mutateAsVal(s->in())->as<IterDomain>();
Val* fact = mutateAsVal(s->factor())->as<Val>();
if (ot->sameAs(s->outer()) && inr->sameAs(s->inner()) &&
in->sameAs(s->in()) && areEqualScalars(fact, s->factor())) {
return s;
}
FusionGuard::getCurFusion()->removeExpr(s);
return new Split(ot, inr, in, fact);
}
Statement* OptOutMutator::mutate(Merge* m) {
IterDomain* ot = mutateAsVal(m->out())->as<IterDomain>();
IterDomain* otr = mutateAsVal(m->outer())->as<IterDomain>();
IterDomain* in = mutateAsVal(m->inner())->as<IterDomain>();
if (ot->sameAs(m->out()) && otr->sameAs(m->outer()) && in->sameAs(m->inner()))
return m;
FusionGuard::getCurFusion()->removeExpr(m);
return new Merge(ot, otr, in);
}
Statement* OptOutMutator::mutate(UnaryOp* uop) {
Val* out = mutateAsVal(uop->out())->asVal();
Val* in = mutateAsVal(uop->in())->asVal();
if (out->sameAs(uop->out()) && in->sameAs(uop->in()))
return uop;
FusionGuard::getCurFusion()->removeExpr(uop);
return new UnaryOp(uop->getUnaryOpType(), out, in);
}
Statement* OptOutMutator::mutate(BinaryOp* bop) {
Val* out = mutateAsVal(bop->out())->asVal();
Val* lhs = mutateAsVal(bop->lhs())->asVal();
Val* rhs = mutateAsVal(bop->rhs())->asVal();
if (out == bop->out() && lhs == bop->lhs() && rhs == bop->rhs())
return bop;
FusionGuard::getCurFusion()->removeExpr(bop);
return new BinaryOp(bop->getBinaryOpType(), out, lhs, rhs);
}
Statement* OptOutMutator::mutate(TernaryOp* top) {
Val* out = mutateAsVal(top->out())->asVal();
Val* in1 = mutateAsVal(top->in1())->asVal();
Val* in2 = mutateAsVal(top->in2())->asVal();
Val* in3 = mutateAsVal(top->in3())->asVal();
if (out == top->out() && in1 == top->in1() && in2 == top->in2() &&
in3 == top->in3())
return top;
FusionGuard::getCurFusion()->removeExpr(top);
return new TernaryOp(top->getTernaryOpType(), out, in1, in2, in3);
}
Statement* OptOutMutator::mutate(ReductionOp* rop) {
Val* out = mutateAsVal(rop->out())->asVal();
Val* in = mutateAsVal(rop->in())->asVal();
Val* init = rop->init();
if (out->sameAs(rop->out()) && in->sameAs(rop->in()) &&
init->sameAs(rop->init()))
return rop;
return new ReductionOp(rop->getReductionOpType(), init, out, in);
}
Statement* OptOutMutator::mutate(kir::GridReduction* gr) {
return gr;
}
Statement* OptOutMutator::mutate(BroadcastOp* bop) {
return bop;
}
Statement* OptOutMutator::mutate(kir::ForLoop* fl) {
return fl;
}
Statement* OptOutMutator::mutate(kir::IfThenElse* ite) {
return ite;
}
} // namespace fuser
} // namespace jit
} // namespace torch
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