I have tried to locally reproduce this but cannot. I do not have AVX-512 on my machine. Fortunately we dump CPU info on travis and lo and behold it has AVX-512. *-cpu:0 description: CPU product: Intel(R) Xeon(R) CPU vendor: Intel Corp. physical id: 1001 bus info: cpu@0 slot: CPU 1 size: 2GHz capacity: 2GHz width: 64 bits capabilities: fpu fpu_exception wp vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp x86-64 constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq vmx ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities Sounds like the AVX-512 path is bugged. Kevin From: Sebastian Berg On Tue, 2020-02-18 at 10:14 -0500, josef.p...@gmail.com wrote: > I'm trying to track down test failures of statsmodels against recent > master dev versions of numpy and scipy. > > The core computation is the following in one set of tests that fail > > pvals_corrected_raw = pvals * np.arange(ntests, 0, -1) > pvals_corrected = np.maximum.accumulate(pvals_corrected_raw) > Hmmm, the two git hashes indicate few changes between the two versions (mainly unicode related). However, recently there was also the addition of AVX-512F loops to maximum, so that seems like the most reasonable candidate (although I am unsure it changed exactly between those versions, it is also more complex maybe due to needing a machine that supports the instructions). Some details about the input could be nice. But if this is all that is as input, it sounds like it should be a contiguous array? I guess it might include subnormal numbers or NaN? Can you open an issue with some of those details if you have them? - Sebastian > this numpy version > numpy-1.19.0.dev0%2B20200214184618_1f9ab28-cp38-cp38- > manylinux2010_x86_64.whl > is in the test run with failures (the first time statsmodel master > failed) > > the previous version in the test runs didn't have these failures > numpy-1.19.0.dev0%2B20200212232857_af0dfce-cp38-cp38- > manylinux1_x86_64.whl > > > I'm right now just fishing for candidates for the failures. And I'm > not running any dev versions on my computer. > > Were there any recent changes that affect np.maximum.accumulate? > > Josef > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion |
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