#  examplePar04_onnx_calodit.mac
#
/control/execute common_settings_lowgran.mac
# Initialize
/run/initialize

/control/execute common_settings_postInit.mac

# Inference Setup
## path to the model which is set to download by cmake
/Par04/inference/setModelPathName MLModels/cd.onnx
## Set ML model to use (VAE, CaloDiT-2)
/Par04/inference/setModelType CaloDiT-2
/Par04/inference/setProfileFlag 0
/Par04/inference/setOptimizationFlag 0
## cuda flag 
/Par04/inference/setCudaFlag 0
/Par04/inference/setInferenceLibrary ONNX
## set mesh size for inference == mesh size of a full sim that
## was used for training; it coincides with readout mesh size
/Par04/inference/setSizeOfRhoCells 4.65 mm
/Par04/inference/setSizeOfZCells 3.4 mm
/Par04/inference/setNbOfRhoCells 9
/Par04/inference/setNbOfPhiCells 16
/Par04/inference/setNbOfZCells 45

# cuda options
/Par04/inference/cuda/setDeviceId 0
/Par04/inference/cuda/setGpuMemLimit 2147483648
/Par04/inference/cuda/setArenaExtendedStrategy kSameAsRequested
/Par04/inference/cuda/setCudnnConvAlgoSearch DEFAULT
/Par04/inference/cuda/setDoCopyInDefaultStream 1
/Par04/inference/cuda/setCudnnConvUseMaxWorkspace 1

# Fast Simulation
/analysis/setFileName 10GeV_100events_calodit_onnx.root
## dynamically set readout mesh from particle direction
## needs to be the first fast sim model!
/param/ActivateModel defineMesh
## ML fast sim, configured with the inference setup /Par04/inference
/param/ActivateModel inferenceModel
/run/beamOn 100