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Failure:
FAILED: CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/sparse_ops_cpu.cpp.o /usr/bin/c++ -DUSE_C10D_GLOO -DUSE_C10D_NCCL -DUSE_DISTRIBUTED -DUSE_RPC -DUSE_TENSORPIPE -Dfbgemm_gpu_py_EXPORTS -I/data/users/ezy ang/b/FBGEMM/fbgemm_gpu -I/data/users/ezyang/b/FBGEMM/fbgemm_gpu/include -I/data/users/ezyang/b/FBGEMM/fbgemm_gpu/../include -I/dat a/users/ezyang/b/FBGEMM/fbgemm_gpu/../third_party/asmjit/src -I/data/users/ezyang/b/FBGEMM/fbgemm_gpu/../third_party/cpuinfo/includ e -isystem /data/users/ezyang/b/pytorch/torch/include -isystem /data/users/ezyang/b/pytorch/torch/include/torch/csrc/api/include -i system /usr/local/cuda-12.0/include -D_GLIBCXX_USE_CXX11_ABI=1 -O3 -DNDEBUG -std=c++17 -fPIC -D_GLIBCXX_USE_CXX11_ABI=1 -mavx -mf16 c -mfma -mavx2 -fopenmp -MD -MT CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/sparse_ops_cpu.cpp.o -MF CMakeFiles/fbgemm_gpu_py.dir/s rc/sparse_ops/sparse_ops_cpu.cpp.o.d -o CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/sparse_ops_cpu.cpp.o -c /data/users/ezyang/b/FB GEMM/fbgemm_gpu/src/sparse_ops/sparse_ops_cpu.cpp /data/users/ezyang/b/FBGEMM/fbgemm_gpu/src/sparse_ops/sparse_ops_cpu.cpp: In function ‘Tensor fbgemm_gpu::native_empty_like(const T ensor&)’: /data/users/ezyang/b/FBGEMM/fbgemm_gpu/src/sparse_ops/sparse_ops_cpu.cpp:131:7: error: ‘optTypeMetaToScalarType’ was not declared i n this scope; did you mean ‘c10::optTypeMetaToScalarType’? 131 | optTypeMetaToScalarType(self.options().dtype_opt()), | ^~~~~~~~~~~~~~~~~~~~~~~ | c10::optTypeMetaToScalarType
The text was updated successfully, but these errors were encountered:
This is similar to pytorch/pytorch#115623, but fbgemm appears to already have the fix:
FBGEMM/fbgemm_gpu/src/sparse_ops/sparse_ops_cpu.cpp
Line 131 in 17a0604
Are you using an older version of fbgemm_gpu?
Sorry, something went wrong.
Closing, as the issue appears to be resolved. Please feel free to open a new ticket if the issue is observed again.
Successfully merging a pull request may close this issue.
Failure:
The text was updated successfully, but these errors were encountered: