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Add the implementations of resnet model in the autograd #805

Add the implementations of resnet model in the autograd

Add the implementations of resnet model in the autograd #805

Workflow file for this run

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name: Native-MacOS
on:
push:
pull_request:
jobs:
build-cpptest-cpu:
runs-on: macos-latest
steps:
- uses: actions/checkout@v1
- uses: actions/setup-python@v2
with:
python-version: "3.7"
- name: install-build-dependencies
run: |
brew install protobuf swig opencv glog lmdb numpy
wget https://github.com/oneapi-src/oneTBB/releases/download/v2020.1/tbb-2020.1-mac.tgz
mkdir /tmp/tbb
tar zxvf tbb-2020.1-mac.tgz -C /tmp/tbb --strip-components=1
mv /tmp/tbb/lib/lib* /usr/local/lib/
pip3 install numpy && wget https://github.com/oneapi-src/oneDNN/releases/download/v1.2/dnnl_mac_1.2.0_cpu_tbb.tgz -P /tmp
tar zxf /tmp/dnnl_mac_1.2.0_cpu_tbb.tgz -C /tmp
- name: configure
run: mkdir build && cd build && cmake -DUSE_PYTHON3=YES -DENABLE_TEST=YES -DUSE_DNNL=YES ..
env:
CMAKE_INCLUDE_PATH: /usr/local/opt/openblas/include:$CMAKE_INCLUDE_PATH
CMAKE_LIBRARY_PATH: /usr/local/opt/openblas/lib:$CMAKE_LIBRARY_PATH
DNNL_ROOT: /tmp/dnnl_mac_1.2.0_cpu_tbb/
- name: build
run: cd build && make
env:
CXXFLAGS: -I /Users/runner/hostedtoolcache/Python/3.7.8/x64/lib/python3.7/site-packages/numpy/core/include $CXXFLAGS
LD_LIBRARY_PATH: /usr/local/opt/openblas/lib:/tmp/dnnl_mac_1.2.0_cpu_tbb/lib:$LD_LIBRARY_PATH
- name: C++ test
run: |
install_name_tool -change libdnnl.1.dylib /tmp/dnnl_mac_1.2.0_cpu_tbb/lib/libdnnl.1.dylib /Users/runner/work/singa/singa/build/lib/libsinga.dylib
install_name_tool -change libdnnl.1.dylib /tmp/dnnl_mac_1.2.0_cpu_tbb/lib/libdnnl.1.dylib build/bin/test_singa
build/bin/test_singa
env:
LD_LIBRARY_PATH: /usr/local/opt/openblas/lib:/tmp/dnnl_mac_1.2.0_cpu_tbb/lib:$LD_LIBRARY_PATH