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Unverified Commit 2d8d1676 authored by Nishant Kumar's avatar Nishant Kumar Committed by GitHub
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Updated compiled filename

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......@@ -25,7 +25,7 @@ Here we provide an example on how to use Athos to compile TensorFlow based ResNe
Runs the ResNet-50 code written in TensorFlow to dump the metadata which is required by Athos for further compilation.
This command execution should result in 2 files which will be used for further compilation - `./Networks/ResNet/graphDef.mtdata` and `./Networks/ResNet/sizeInfo.mtdata`. In addition, a file `./Networks/ResNet/ResNet_img_input.inp` should be created which contains the ResNet-50 pretrained-model and image in a format which can be used later by Porthos.
- `./CompileTF.sh -b 64 -s 12 -t PORTHOS -f ./Networks/ResNet/ResNet_main.py`
Using the `CompileTF.sh` script to compile the model to Porthos. This should result in creation of the file - `./Networks/ResNet/ResNet_main_64_porthos.cpp`.
Using the `CompileTF.sh` script to compile the model to Porthos. This should result in creation of the file - `./Networks/ResNet/ResNet_main_64_porthos0.cpp`.
- `cp ./Networks/ResNet/ResNet_main_64_porthos.cpp ../Porthos/main.cpp`
Copy the compiled file to Porthos.
- `cd ../Porthos && make clean && make -j`
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