Lower trivial differentiable subgraphs #11110
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apaszke
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Aug 30, 2018
torch/csrc/jit/graph_executor.cpp
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| @@ -53,6 +54,7 @@ struct ExecutionPlan { | |||
| , graph(std::move(graph)) {} | |||
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| void run(Stack& stack) const { | |||
| std::cout << *graph << std::endl; | |||
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We create differentiable subgraphs in the JIT so that we can apply optimizations which would normally make it impossible to run the code with autograd. However, in many cases we are too eager about this, and the graphs we slice and up being trivial, and not optimizations are actually applied. In this case, it's better to inline them back and make use of specialized autograd functions, instead of our generic graph implementations.
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Sep 11, 2018
Summary: zdevito Pull Request resolved: pytorch#11110 Differential Revision: D9616408 Pulled By: apaszke fbshipit-source-id: f1ae77d698bf0ada32f2c1c3f587e46a4f57a867
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