From 9a25396be5e0995e538f68f845b46193a40fff72 Mon Sep 17 00:00:00 2001 From: Yifan Zhao <yifanz16@illinois.edu> Date: Sat, 3 Apr 2021 22:07:20 -0500 Subject: [PATCH] Remove dup markdown file --- hpvm/docs/CNN_Models.md | 15 --------------- 1 file changed, 15 deletions(-) delete mode 100644 hpvm/docs/CNN_Models.md diff --git a/hpvm/docs/CNN_Models.md b/hpvm/docs/CNN_Models.md deleted file mode 100644 index b128be8de1..0000000000 --- a/hpvm/docs/CNN_Models.md +++ /dev/null @@ -1,15 +0,0 @@ - -# CNN Model Weights - -The CNN weights (and input) files can be downloaded from here: https://databank.illinois.edu/datasets/IDB-6565690 - -The extracted `model_params` directory is to be copied to `hpvm/hpvm/test/dnn_benchmarks/model_params` - the CNN benchmark expect the model weights at this specific location. The automatic HPVM install (`install.sh`) does the data download, extraction, and copying automatically. - -We support CNN weights in 3 formats: - -* `.h5` file format: The entire CNN model is stored as a single `.h5` file. The Keras models are shipped as `.h5` files. These can be found under `model_params/keras` - -* `.pth.tar` file format: The PyTorch models are shipped as `pth.tar` files and can be found under `model_params/pytorch` - -* `.bin` serialized binary file format: This format is used by the HPVM binaries. Convolution, Dense, and BatchNormalization parameters for each layer are stored as individual files. The weights are serialized FP32 values layed out serially in `NCHW` format. Our frontends (Keras and PyTorch) convert `.h5` and `pth.tar` files into `.bin` files in the frontend translation phase. The `.bin` weights can be found under the respective subdirectory for each benchmark under `model_params/` - -- GitLab