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[nnc] Make our exceptions c10::Errors, get C++ stacktraces (#64332)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/64332 With this diff, if a compiler bug occurs (unlikely, I know!) we'll be able to get a c++ stacktrace leading to the exception, rather than just a terse message. E.g., ``` RuntimeError: UNSUPPORTED DTYPE Exception raised from compilation_error at ../torch/csrc/jit/tensorexpr/exceptions.h:32 (most recent call first): frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x6b (0x7f966659b2eb in /fsx/users/bertrand/c\ onda/envs/pytorch/lib/python3.8/site-packages/torch/lib/libc10.so) frame #1: <unknown function> + 0x376f099 (0x7f966a195099 in /fsx/users/bertrand/conda/envs/pytorch/lib/python3.8/site-packages/torch/lib/libtorch_cuda.so) frame #2: <unknown function> + 0x3763bf5 (0x7f966a189bf5 in /fsx/users/bertrand/conda/envs/pytorch/lib/python3.8/site-packages/torch/lib/libtorch_cuda.so) frame #3: torch::jit::tensorexpr::CudaCodeGen::Initialize() + 0xdd8 (0x7f966a193368 in /fsx/users/bertrand/conda/envs/pytorch/lib/python3.8/site-packages/torch/lib/libtorch_cuda\ .so) ``` Test Plan: Imported from OSS Reviewed By: huiguoo Differential Revision: D30745610 Pulled By: bertmaher fbshipit-source-id: a1cfaa7364ef4120de834e9cbe57ced1d082ab4e
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@ -26,66 +26,78 @@ namespace torch {
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namespace jit {
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namespace tensorexpr {
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class unsupported_dtype : public std::runtime_error {
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TORCH_API std::string buildErrorMessage(const std::string& s);
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class compilation_error : public c10::Error {
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public:
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explicit unsupported_dtype() : std::runtime_error("UNSUPPORTED DTYPE") {}
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explicit compilation_error(const std::string& err)
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: c10::Error(
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{
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__func__,
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__FILE__,
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static_cast<uint32_t>(__LINE__),
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},
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buildErrorMessage(err)) {}
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};
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class unsupported_dtype : public compilation_error {
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public:
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explicit unsupported_dtype() : compilation_error("UNSUPPORTED DTYPE") {}
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explicit unsupported_dtype(const std::string& err)
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: std::runtime_error("UNSUPPORTED DTYPE: " + err) {}
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: compilation_error("UNSUPPORTED DTYPE: " + err) {}
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};
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class out_of_range_index : public std::runtime_error {
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class out_of_range_index : public compilation_error {
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public:
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explicit out_of_range_index() : std::runtime_error("OUT OF RANGE INDEX") {}
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explicit out_of_range_index() : compilation_error("OUT OF RANGE INDEX") {}
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explicit out_of_range_index(const std::string& err)
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: std::runtime_error("OUT OF RANGE INDEX: " + err) {}
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: compilation_error("OUT OF RANGE INDEX: " + err) {}
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};
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class unimplemented_lowering : public std::runtime_error {
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class unimplemented_lowering : public compilation_error {
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public:
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explicit unimplemented_lowering()
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: std::runtime_error("UNIMPLEMENTED LOWERING") {}
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: compilation_error("UNIMPLEMENTED LOWERING") {}
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explicit unimplemented_lowering(ExprPtr expr)
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: std::runtime_error("UNIMPLEMENTED LOWERING: " + std::to_string(expr)) {}
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: compilation_error("UNIMPLEMENTED LOWERING: " + std::to_string(expr)) {}
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explicit unimplemented_lowering(StmtPtr stmt)
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: std::runtime_error("UNIMPLEMENTED LOWERING: " + std::to_string(stmt)) {}
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: compilation_error("UNIMPLEMENTED LOWERING: " + std::to_string(stmt)) {}
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};
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class malformed_input : public std::runtime_error {
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class malformed_input : public compilation_error {
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public:
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explicit malformed_input() : std::runtime_error("MALFORMED INPUT") {}
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explicit malformed_input() : compilation_error("MALFORMED INPUT") {}
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explicit malformed_input(const std::string& err)
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: std::runtime_error("MALFORMED INPUT: " + err) {}
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: compilation_error("MALFORMED INPUT: " + err) {}
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explicit malformed_input(ExprPtr expr)
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: std::runtime_error("MALFORMED INPUT: " + std::to_string(expr)) {}
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: compilation_error("MALFORMED INPUT: " + std::to_string(expr)) {}
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explicit malformed_input(const std::string& err, ExprPtr expr)
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: std::runtime_error(
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: compilation_error(
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"MALFORMED INPUT: " + err + " - " + std::to_string(expr)) {}
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explicit malformed_input(StmtPtr stmt)
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: std::runtime_error("MALFORMED INPUT: " + std::to_string(stmt)) {}
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: compilation_error("MALFORMED INPUT: " + std::to_string(stmt)) {}
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explicit malformed_input(const std::string& err, StmtPtr stmt)
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: std::runtime_error(
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: compilation_error(
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"MALFORMED INPUT: " + err + " - " + std::to_string(stmt)) {}
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};
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class malformed_ir : public std::runtime_error {
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class malformed_ir : public compilation_error {
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public:
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explicit malformed_ir() : std::runtime_error("MALFORMED IR") {}
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explicit malformed_ir() : compilation_error("MALFORMED IR") {}
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explicit malformed_ir(const std::string& err)
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: std::runtime_error("MALFORMED IR: " + err) {}
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: compilation_error("MALFORMED IR: " + err) {}
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explicit malformed_ir(ExprPtr expr)
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: std::runtime_error("MALFORMED IR: " + std::to_string(expr)) {}
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: compilation_error("MALFORMED IR: " + std::to_string(expr)) {}
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explicit malformed_ir(const std::string& err, ExprPtr expr)
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: std::runtime_error(
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: compilation_error(
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"MALFORMED IR: " + err + " - " + std::to_string(expr)) {}
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explicit malformed_ir(StmtPtr stmt)
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: std::runtime_error("MALFORMED IR: " + std::to_string(stmt)) {}
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: compilation_error("MALFORMED IR: " + std::to_string(stmt)) {}
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explicit malformed_ir(const std::string& err, StmtPtr stmt)
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: std::runtime_error(
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: compilation_error(
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"MALFORMED IR: " + err + " - " + std::to_string(stmt)) {}
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};
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TORCH_API std::string buildErrorMessage(const std::string& s);
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} // namespace tensorexpr
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} // namespace jit
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} // namespace torch
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@ -476,11 +476,13 @@ bool LoopNest::vectorize(ForPtr f) {
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normalize(to<For>(new_f));
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new_f = FlattenIndexes(new_f);
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new_f = v.vectorize(to<For>(new_f));
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} catch (std::runtime_error& e) {
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} catch (compilation_error& e) {
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// We clone f before vectorizing. So, any partial vectorization will
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// have modified the clone. In case of an exception, we can continue
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// using f.
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new_f = f;
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} catch (std::runtime_error& e) {
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new_f = f;
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}
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if (new_f != f) {
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