szha opened a new issue #17017: USE_BLAS=apple broken on OSX 10.15 URL: https://github.com/apache/incubator-mxnet/issues/17017 ## Description Starting from 10.15, Accelerate/vecLib frameworks are not shipped by default ([macOS frameworks are now thinned for the x86-64 architecture](https://developer.apple.com/documentation/macos_release_notes/macos_catalina_10_15_release_notes)), and the users need to install macOS SDK separately. ### Error Message cblas.h not found ## To Reproduce on OSX 10.15, `make USE_BLAS=apple` ## What have you tried to solve it? 1. solved by installing SDK for macOS 10.15 and updating https://github.com/apache/incubator-mxnet/blob/master/3rdparty/mshadow/make/mshadow.mk#L124 to ``` MSHADOW_CFLAGS += -I/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/System/Library/Frameworks/Accelerate.framework/Frameworks/vecLib.framework/Headers/ ``` ## Environment We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below: ``` curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python # paste outputs here ----------Python Info---------- ('Version :', '2.7.16') ('Compiler :', 'GCC 4.2.1 Compatible Apple LLVM 11.0.0 (clang-1100.0.32.4) (-macos10.15-objc-s') ('Build :', ('default', 'Oct 17 2019 17:14:30')) ('Arch :', ('64bit', '')) ------------Pip Info----------- No corresponding pip install for current python. ----------MXNet Info----------- No MXNet installed. ----------System Info---------- ('Platform :', 'Darwin-19.0.0-x86_64-i386-64bit') ('system :', 'Darwin') ('node :', 'a483e79ab3ab.ant.amazon.com') ('release :', '19.0.0') ('version :', 'Darwin Kernel Version 19.0.0: Thu Oct 17 16:17:15 PDT 2019; root:xnu-6153.41.3~29/RELEASE_X86_64') ----------Hardware Info---------- ('machine :', 'x86_64') ('processor :', 'i386') machdep.cpu.brand_string: Intel(R) Core(TM) i7-8569U CPU @ 2.80GHz machdep.cpu.features: FPU VME DE PSE TSC MSR PAE MCE CX8 APIC SEP MTRR PGE MCA CMOV PAT PSE36 CLFSH DS ACPI MMX FXSR SSE SSE2 SS HTT TM PBE SSE3 PCLMULQDQ DTES64 MON DSCPL VMX EST TM2 SSSE3 FMA CX16 TPR PDCM SSE4.1 SSE4.2 x2APIC MOVBE POPCNT AES PCID XSAVE OSXSAVE SEGLIM64 TSCTMR AVX1.0 RDRAND F16C machdep.cpu.leaf7_features: RDWRFSGS TSC_THREAD_OFFSET SGX BMI1 AVX2 SMEP BMI2 ERMS INVPCID FPU_CSDS MPX RDSEED ADX SMAP CLFSOPT IPT MDCLEAR TSXFA IBRS STIBP L1DF SSBD machdep.cpu.extfeatures: SYSCALL XD 1GBPAGE EM64T LAHF LZCNT PREFETCHW RDTSCP TSCI ----------Network Test---------- Setting timeout: 10 Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0380 sec, LOAD: 0.8266 sec. Timing for D2L: http://d2l.ai, DNS: 0.0967 sec, LOAD: 0.1057 sec. Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0721 sec, LOAD: 0.2089 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0322 sec, LOAD: 0.1277 sec. Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0006 sec, LOAD: 0.6272 sec. Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0689 sec, LOAD: 0.2368 sec. Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0362 sec, LOAD: 0.1082 sec. Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0006 sec, LOAD: 0.5805 sec. ```
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