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Fix custom op multi-gpu scaling#9283
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piiswrong merged 5 commits intoapache:masterfrom Jan 5, 2018
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| std::vector<Engine::VarHandle> vars; | ||
| for (const auto& i : arrs) vars.push_back(i.var()); | ||
| Engine::Get()->PushSync([=](RunContext rctx) { |
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Will worker thread and main thread push operations to the engine at the same time?
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That's fine. Engine is thread safe
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Just FYI, every GPU-instance has two GPUs present, so feel free to write a test for this case. |
anirudh2290
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Jan 5, 2018
| cv_.wait(lock, [&] {return !q_.empty() || destructing_;}); | ||
| while (!q_.empty()) { | ||
| auto fn = q_.front(); | ||
| lock.unlock(); |
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What happens when after we unlock, something is pushed to the queue ? Will we pop the correct item from the queue ?
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there is on 1 consumer thread, so its ok
szha
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Jan 5, 2018
* refactor custom op * fix * fix * fix * fix
yuxiangw
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Jan 25, 2018
* refactor custom op * fix * fix * fix * fix
rahul003
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Jun 4, 2018
* refactor custom op * fix * fix * fix * fix
zheng-da
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Jun 28, 2018
* refactor custom op * fix * fix * fix * fix
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