`hpvm_reload` : Reloads HPVM weights ('.bin' binary format used in `model_params` found here: https://gitlab.engr.illinois.edu/llvm/hpvm/-/tree/approx_hpvm_reorg_keras/hpvm/test/dnn_benchmarks/model_params) from directory path specified in the [Benchmark class constructor](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/Benchmark.py#L17).
`hpvm_reload` : Reloads HPVM weights ('.bin' binary format used in `model_params` found here: https://gitlab.engr.illinois.edu/llvm/hpvm/-/tree/approx_hpvm_reorg_keras/hpvm/test/dnn_benchmarks/model_params) from directory path specified in the `reload_dir` parameter set in code - this is described in "Parameters to Change in Code" (below).
`keras_reload`: Reloads weights in Keras `.h5` file format with path to file specified in [Benchmark class constructor](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/Benchmark.py#L20)
`keras_reload`: Alternatively, reload weights in Keras `.h5` file format with path to file specified in `keras_model_file` described in "Parameters to Change in Code" (below).
`frontend`: Invokes the HPVM frontend and dumps weights (in HPVM `.bin` format) in the output directory specified. The constructor requires two paths:
`frontend`: Invokes the HPVM frontend and dumps weights (in HPVM `.bin` format) in the output directory specified. The parameters that control where data and source files are dumped are specified by parameters `data_dir` and `src_dir`, respectively. These are described below.
**Parameters to Change in Code**
The AlexNet source is commented with explanations on how to use the Keras frontend interface. AlexNet source is [here](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/alexnet.py).
*`NAME`: Benchmark Name - Can be set to any desired value
*`reload_dir`: Path to directory from where to reload weights in HPVM format. This directory is used to reload weights if `hpvm_reload` command-line option is used.
*`keras_model_file`: Path to Keras .h5 model file to reload weigths from. Either of `reload_dir` or `keras_model_file` can be used.
`keras_model_file` is used when `keras_reload` commad-line parameter is used with the Benchmark script.
*`data_dir`: Directory to dump weights specified specified in [constructor](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/Benchmark.py#L21)
*`src_dir`: Directory to dump ApproxHPVM sources in HPVM-C (C with HPVM compiler intrinsics) specified in [constructor](https://gitlab.engr.illinois.edu/llvm/hpvm/-/blob/approx_hpvm_reorg_keras/hpvm/projects/keras/src/Benchmark.py#L22)
*`num_classes`: number of output classes - dependent on the dataset used. For CIFAR10, `num_classes` is 10, CIFAR100 has 100 classes,
for ImageNet, number of classes is 1000.
*`batch_size`: This parameter controls the size of each batch that is processed in HPVM. The batch size should be kept as large as the GPU memory
can support. This parameter should be adapted according to the memory size of the deployed device.
### Using the Frontend with Custom (New) Benchmarks
