[Ansor][AutoTVM v2.0] Phase 2: Update heavy operations with parallel_for #6348
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jcf94
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comaniac
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@merrymercy @FrozenGene Plz have a look when you're free. :) |
merrymercy
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Aug 30, 2020
src/auto_scheduler/compute_dag.cc
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| out_states.push_back(std::move(out_state)); | ||
| } | ||
| if (out_state.defined()) { | ||
| std::unique_lock<std::mutex> l(m); |
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Can we use low-level APIs from ArrayNode to remove this mutex lock?
Because we know the number of states, we can allocate n empty State() in advance.
Do something like
std::vector<State> out_states(n, State());
parallel_for i in 0...n:
out_state[i] = process(states[i])There was a problem hiding this comment.
Our original implementation in Ansor repo just worked in this way, while if there's any inferbound failure the out_state will contains some empy State().
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Added a note in the doc string of ComputeDAG::Inferbound, added necessary PruneInvalidState to the search policy.
merrymercy
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Aug 31, 2020
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…for (apache#6348) * Update auto_scheduler with parallel_for * Update * Update * Update * Update inferbound
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…for (apache#6348) * Update auto_scheduler with parallel_for * Update * Update * Update * Update inferbound
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…for (apache#6348) * Update auto_scheduler with parallel_for * Update * Update * Update * Update inferbound
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For the full upstream plan, see Ansor RFC.
This PR contains some small fix:
Currently add for:
SketchPolicyNode::SampleInitPopulation(some rules used the SketchPolicyNode->rand_gen, so this part still has to be protected by a std::mutex)Do we need to add parallel_for for EvolutionarySearch after [Ansor][AutoTVM v2.0] Phase 2: Evolutionary Search #6310 has been merged?cc @merrymercy @comaniac