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[TensorExpr] Add a fuser pass based on tensor expressions. (#34226)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/34226 LLVM and Cuda backends are added in subsequent PRs, so at this point the fuser is pretty useless, but it still can be tested and its logic is not going to change with addition of the codegens. Differential Revision: D20251838 Test Plan: Imported from OSS Pulled By: ZolotukhinM fbshipit-source-id: 82b0d221fa89904ed526689d02a6c7676a8ce8de
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@ -481,6 +481,7 @@ if (NOT INTERN_BUILD_MOBILE OR NOT BUILD_CAFFE2_MOBILE)
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${TORCH_SRC_DIR}/csrc/jit/tensorexpr/ir_mutator.cpp
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${TORCH_SRC_DIR}/csrc/jit/tensorexpr/ir_printer.cpp
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${TORCH_SRC_DIR}/csrc/jit/tensorexpr/ir_visitor.cpp
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${TORCH_SRC_DIR}/csrc/jit/tensorexpr/kernel.cpp
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${TORCH_SRC_DIR}/csrc/jit/tensorexpr/mem_arena.cpp
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${TORCH_SRC_DIR}/csrc/jit/tensorexpr/schedule.cpp
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${TORCH_SRC_DIR}/csrc/jit/tensorexpr/tensor.cpp
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