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Move custom passes to last optimization step (#29256)

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Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/29256

..

Test Plan: ..

Reviewed By: ZolotukhinM

Differential Revision: D18340212

fbshipit-source-id: 30f4850c8a21bdab42c7cf04b4b92b1787449ee2
This commit is contained in:
Bram Wasti 2019-11-05 20:08:58 -08:00 committed by Facebook Github Bot
parent 6ea4219d20
commit ee21142e40
1 changed files with 6 additions and 4 deletions
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10
torch/csrc/jit/graph_executor.cpp
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@ -713,10 +713,6 @@ bool needsGradient(const std::shared_ptr<const Graph>& graph) {
}
void runNondiffOptimization(std::shared_ptr<Graph>& graph) {
// run custom passes that different backends can register
for (const auto& pass : getCustomPasses()) {
pass(graph);
}
// decomposition pass, decompose certain ops that will be used in the
// following passes (like batchmm and jit fusion)
DecomposeOps(graph);
@ -732,6 +728,12 @@ void runNondiffOptimization(std::shared_ptr<Graph>& graph) {
QuantFusion(graph);
FuseGraph(graph);
// Run custom passes that different backends can register.
// This is done last to give internal optimization passes priority.
for (const auto& pass : getCustomPasses()) {
pass(graph);
}
}
void runOptimization(std::shared_ptr<Graph>& graph) {