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warmup's Introduction

warmup

Newbie collaboration test

Step 1. build paddle lib


# WITH_MKL=ON|OFF
# WITH_MKLDNN=ON|OFF

PADDLE_LIB=/paddle/lib/dir
cmake .. -DFLUID_INSTALL_DIR=$PADDLE_LIB \
         -DCMAKE_BUILD_TYPE=Release \
         -DWITH_GPU=OFF \
         -DWITH_STYLE_CHECK=OFF \
         -DWITH_MKL=OFF \
         -DWITH_MKLDNN=OFF
make -j8
make -j8 fluid_lib_dist

step 2. generate program desc

# please install paddle before run this scripe
pip install --upgrade paddlepaddle-*.whl
python mnist_network.py

This will generate two program desc files:

  • startup_program: used to init all parameters
  • main_program: main logic of the network

step 3. build mnist_train and run it.

# Make a build dir at the same dir of this README.md document.
# The demo dir can be put anywhere.
mkdir build
cd build
sh build.sh

step 4. use the model to inference

python mnist_infer.py

warmup's People

Contributors

forfishes avatar gavin1332 avatar

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forfishes

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