Comments (5)
ajtulloch
commented on May 18, 2024
1
@Maratyszcza wouldn't some kind of versioning be useful for the BVLC/Caffe integration? So we can conditionally compile new layers as you implement the functions? It seems like the CuDNN model is reasonable to follow here?
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Maratyszcza
commented on May 18, 2024
Master branch is expected to be stable at all times
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jakirkham
commented on May 18, 2024
Ok, could we please have a tag at least to know what API we can reliably use (and know when that changes)?
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Maratyszcza
commented on May 18, 2024
Generally, functions are usable iff they are documented. I can't guarantee API stability at this stage, but I don't break it without a good reason.
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Maratyszcza
commented on May 18, 2024
@ajtulloch NNPACK is not packaged in Linux distros (and unlikely to be, due to its specific hardware requirements). Thus, users are expected to use the recent branch from GitHub.
In this situation versioning NNPACK would provide no benefits, but would task me with release management and potentially back-porting bug-fixes.
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Related Issues (20)
- NNPACK with Windows support HOT 4
- A compilation error occurs in the Linux ARM environment HOT 1
- potential unitialized variable in nnp_sgemm_upto_4x8__psimd HOT 1
- not found /bin/banchmarkxxx
- Why do more threads take longer?
- AltiVec/PowerPC (OpenPOWER ISA 3.0B or greater) Acceleration Support HOT 1
- CMakeLists.txt broken on MSYS2/MINGW64/AMD64 (Windows) HOT 3
- Real-time human detection on Pi 4 HOT 1
- 'vdotq_lane_s32' is invalid in C99 [-Wimplicit-function-declaration] HOT 1
- Build failed, cos_npi_over_8 is not available in common HOT 1
- ModuleNotFoundError: No module named 'peachpy.x86_64.avx' HOT 7
- make install dont link to libcpuinfo.so HOT 1
- NNPACK builds are not bit-for-bit reproducible HOT 1
- Unsupported Hardware on VM with compatible CPU HOT 3
- Does NNPACK fall back to non-accelerated code when "Could not initialize NNPACK! Reason: Unsupported hardware." occurs? HOT 1
- ld: in lib/libnnpack.a(conv1x1.py.o), section __TEXT/__const address out of range for architecture x86_64
- Use CPack for packaging HOT 1
- After Installing NNPACK on MacBook Pro 15, late 2012 retina, I still get: [W NNPACK.cpp:51] Could not initialize NNPACK! Reason: Unsupported hardware.
- CMake error cpuinfo-gitclone.cmake:40 (message): Failed to checkout tag: 'master'
- [W NNPACK.cpp:64] Could not initialize NNPACK! Reason: Unsupported hardware
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