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Reland: D27652485: [nnc] Enable CPU fusion only when num_threads == 1" (#56120)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/56120 This reverts commit ad17fadbfc786dc1ccb42e822208ff03c2a2b72c (D27786457). The big annoyance here is that depending on the threading mode you may not be able to toggle num_threads at will, so the fusion tests won't fail. I hate this solution, but I'm adding a secondary override for the TE fuser. Now you need to both turn on fusion (_jit_override_can_fuse_on_cpu), and you're OK if you're running with 1 thread, or you can add `_jit_set_texpr_parallel_cpu_enabled` to enable it anyways. This is (a) mainly for tests, since a real user probably won't fiddle aimlessly with the thread count, and (b) will go away once NNC's threading support is fully baked. Test Plan: Imported from OSS Reviewed By: Krovatkin Differential Revision: D27788199 Pulled By: bertmaher fbshipit-source-id: 070d04474f15e9689dbdf8cc1fde43050c6506b1
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@ -631,6 +631,8 @@ void initJITBindings(PyObject* module) {
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.def("_jit_texpr_set_fallback_allowed", &tensorexpr::setFallbackAllowed)
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.def("_jit_set_texpr_reductions_enabled", &setTexprReductionsEnabled)
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.def("_jit_texpr_reductions_enabled", &texprReductionsEnabled)
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.def("_jit_set_texpr_parallel_cpu_enabled", &setTexprParallelCPUEnabled)
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.def("_jit_texpr_parallel_cpu_enabled", &texprParallelCPUEnabled)
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.def(
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"_jit_set_te_generate_block_code",
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[](bool gen_block_code) {
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