Comments (4)
These ILLEGAL failures seems to be related to you running on a cpu that doesn't support avx2 or above instruction set. FBGEMM needs at least avx2 instruction set support.
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Thanks for creating this issue. We will take a look.
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On macOS 10.15.7 and Apple Clang 12.0.0 and commit 7794b29 (2021-05-10), I see even more failures:
$ ninja -j4 test
...
The following tests FAILED:
1 - Bfloat16ConvertTest (ILLEGAL)
5 - FP16Test (ILLEGAL)
6 - Float16ConvertTest (ILLEGAL)
7 - GConvTest (Subprocess aborted)
9 - I8DepthwiseTest (ILLEGAL)
10 - I8SpmdmTest (ILLEGAL)
11 - Im2ColFusedRequantizeTest (ILLEGAL)
12 - PackedRequantizeAcc16Test (ILLEGAL)
13 - PackedRequantizeTest (ILLEGAL)
14 - QuantUtilsTest (ILLEGAL)
15 - RequantizeOnlyTest (ILLEGAL)
16 - RowWiseSparseAdagradFusedTest (Failed)
17 - SparseAdagradTest (Failed)
18 - SparseDenseMMFP32Test (ILLEGAL)
22 - TransposedRequantizeTest (ILLEGAL)
23 - UniConvTest (Failed)
from fbgemm.
Thanks, I added checks for this to our Spack package: spack/spack#24356
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Related Issues (20)
- Support MacOS? HOT 1
- `.to("meta")` is leaked to the public main branch in the tests. HOT 2
- Can't compile FBGEMM with GCC 12.3.0 HOT 3
- compiling FBGEMM for ARM HOT 3
- How `partition_avx512` is auto-tuned? HOT 3
- Compiling on windows with mingw
- Error importing fbgemm_gpu HOT 15
- nvcc fatal : Unknown option '-mavx' HOT 5
- Build failure on MacOS HOT 6
- momentum for SGD/Adagrad HOT 2
- RuntimeError: No such operator fbgemm::jagged_2d_to_dense HOT 3
- Having issue installing FBGEMM-gpu on MacOS HOT 8
- Latest FBGEMM doesn't build with latest PyTorch HOT 1
- fbgemm_gpu doesn't build for CPU because impl_abstract_pystub is not found HOT 1
- [FBGEMM_GPU Question] When should I use FusedEmbeddingBagCollection over EmbeddingBagCollection?
- [Question] What does device / embedding_specs.compute_device parameter in ctor of TBE mean? HOT 4
- AttributeError: '_OpNamespace' 'fbgemm' object has no attribute 'jagged_2d_to_dense' HOT 5
- Building error after C++20 HOT 2
- quantize_embeddings + KeyedJaggedTensor+ vbe cannot work
- AttributeError: '_OpNamespace' 'fbgemm' object has no attribute 'jagged_2d_to_dense' HOT 2
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