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Is it just missing tensorflow-aarch64?
As ended up in a dependancy battle with protobuf<=3.19.6
Just failed with tensorflow-aarch64==2.8.4 protobuf==3.19.6 numpy==1.19.5 after much version hopping
I am getting the usual wrong numpy version error
RuntimeError: module compiled against API version 0xf but this version of numpy is 0xe
RuntimeError: module compiled against API version 0xf but this version of numpy is 0xe
ImportError: numpy.core._multiarray_umath failed to import
ImportError: numpy.core.umath failed to import
When I try to build lower I get a new one which is almost like the compiler is confused with mat/mul and what is a Cortex A76
aarch64-linux-gnu-gcc: build/src.linux-aarch64-3.10/numpy/core/src/umath/matmul.c
error: Command "aarch64-linux-gnu-gcc -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werroat-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DNPY_INTERNAL_BUILD=1 -DPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Ibuild/src.linux-aarch64-3.10/numpy/core/src/common -Ibuild/src.linch64-3.10/numpy/core/src/umath -Inumpy/core/include -Ibuild/src.linux-aarch64-3.10/numpy/core/include/numpy -Ibuild/src.linux-aarch64-3.10/numpy/distutclude -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/srort -Inumpy/core/src/_simd -I/home/stuart/larq/venv/include -I/usr/include/python3.10 -Ibuild/src.linux-aarch64-3.10/numpy/core/src/common -Ibuild/src.aarch64-3.10/numpy/core/src/npymath -c build/src.linux-aarch64-3.10/numpy/core/src/multiarray/scalartypes.c -o build/temp.linux-aarch64-3.10/build/src.aarch64-3.10/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.linux-aarch64-3.10/build/src.linux-aarch64-3.10/numpy/core/src/multiarray/scals.o.d" failed with exit status 1
########### EXT COMPILER OPTIMIZATION ###########
Platform :
Architecture: aarch64
Compiler : gcc
CPU baseline :
Requested : 'min'
Enabled : NEON NEON_FP16 NEON_VFPV4 ASIMD
Flags : none
Extra checks: none
CPU dispatch :
Requested : 'max -xop -fma4'
Enabled : ASIMDHP ASIMDDP
Generated : none
CCompilerOpt._cache_write[796] : write cache to path -> /tmp/pip-install-dgxocg45/numpy_08742c2ca1e3478a868e68c793a8f8e1/build/temp.linux-aarch64ccompiler_opt_cache_ext.py
########### CLIB COMPILER OPTIMIZATION ###########
Platform :
Architecture: aarch64
Compiler : gcc
CPU baseline :
Requested : 'min'
Enabled : NEON NEON_FP16 NEON_VFPV4 ASIMD
Flags : none
Extra checks: none
CPU dispatch :
Requested : 'max -xop -fma4'
Enabled : ASIMDHP ASIMDDP
Generated : none
CCompilerOpt._cache_write[796] : write cache to path -> /tmp/pip-install-dgxocg45/numpy_08742c2ca1e3478a868e68c793a8f8e1/build/temp.linux-aarch64ccompiler_opt_cache_clib.py
Its the dependancy for protobuf<=3.19.6 that kicks this all off and is there any chance it could be updated as think later versions would just then install?
PRETTY_NAME="Ubuntu 22.04.3 LTS"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.3 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
UBUNTU_CODENAME=jammy
Linux stuart-desktop 5.10.160-rockchip #22 SMP Tue Nov 28 04:00:21 UTC 2023 aarch64 aarch64 aarch64 GNU
pip install larq larq-zoo
import tensorflow as tf
import tensorflow_datasets as tfds
import numpy as np
import larq_zoo as lqz
from urllib.request import urlopen
from PIL import Image
fails as there is no tensorflow install and then all the above ?
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