TensorFlow 2.5.2 No AVX, No GPU, Python 3.7, 3.8, 3.9, Ubuntu 18.04, multiple Archs

[Novaal]

Built on Ubuntu 18.04. Builds are not tested and provided as is.

Example configuration for Python 3.7 and westmere:

PYTHON_VERSION=python3.7
PYTHON_BIN_PATH=$(which $PYTHON_VERSION) \
PYTHON_LIB_PATH=$($PYTHON_VERSION -c "import pip; print(pip.__path__[0].rstrip('/pip'))") \
TF_NEED_CUDA=0 \
TF_NEED_ROCM=0 \
TF_DOWNLOAD_CLANG=0 \
CC_OPT_FLAGS="-march=westmere -Wno-sign-compare" \
TF_SET_ANDROID_WORKSPACE=0 \
TF_ENABLE_XLA=1 \
TF_NEED_OPENCL_SYCL=0 \
TF_NEED_MPI=0 \
./configure

This produces the following .tf_configure.bazelrc for Python 3.7.

build --action_env PYTHON_BIN_PATH="/usr/bin/python3.7"
build --action_env PYTHON_LIB_PATH="/usr/local/lib/python3.7/dist-packages"
build --python_path="/usr/bin/python3.7"
build --define=with_xla_support=true
build:opt --copt=-march=westmere
build:opt --host_copt=-march=westmere
build:opt --copt=-Wno-sign-compare
build:opt --host_copt=-Wno-sign-compare
test --flaky_test_attempts=3
test --test_size_filters=small,medium
test:v1 --test_tag_filters=-benchmark-test,-no_oss,-gpu,-oss_serial
test:v1 --build_tag_filters=-benchmark-test,-no_oss,-gpu
test:v2 --test_tag_filters=-benchmark-test,-no_oss,-gpu,-oss_serial,-v1only
test:v2 --build_tag_filters=-benchmark-test,-no_oss,-gpu,-v1only

GCC Compiler Option (-march)	Python 3.7	Python 3.8	Python 3.9	All Builds
barcelona	Download	Download	Download	Link
btver1	Download	Download	Download	Link
core2	Download	Download	Download	Link
nehalem	Download	Download	Download	Link
westmere	Download	Download	Download	Link

Install with:

pip install --ignore-installed --upgrade tensorflow-2.5.2-cp37-cp37m-linux_x86_64.whl

Please let me know here if it works for you.

[lolo2mars]

Hi , Thank you so much for your wheels with no avx and no gpu , I currently use a Intel Core i7 K875 @ 2.93GHz On Debian os Sid with : pip install https://tf.novaal.de/barcelona/tensorflow-2.5.2-cp39-cp39-linux_x86_64.whl
for a test with : "import tensorflow as tf" I obtain this return : <<< RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd >>> and exactly the same with jupyter notebook with "from tensorflow.keras import layers, models" I surely miss something.