module wf !! Fortran interface to Weights & Biases (wandb) experiment tracking. !! !! This is the user-facing API module. It re-exports the public symbols !! from the feature modules in src/wf/: !! !! - wf_run — wandb_init, wandb_log, wandb_finish, wandb_shutdown !! - wf_config — wandb_config_set, wandb_config_get !! - wf_sweep — wandb_sweep_config_type, wandb_sweep, wandb_agent, !! wandb_sweep_start_agent, wandb_sweep_next_params, !! wandb_sweep_run_done !! !! ## Quick start !! !! ```fortran !! use wf !! !! call wandb_init(project="my_project", name="run-01") !! call wandb_config_set("learning_rate", 0.001d0) !! call wandb_config_set("epochs", 100) !! !! do epoch = 1, 100 !! ! ... training ... !! call wandb_log("loss", loss_val, step=epoch) !! end do !! !! call wandb_finish() !! ``` !! !! ## Prerequisites !! !! - Python >= 3.8 with `wandb` installed (`pip install wandb`) !! - Link against `libwandb_fortran` (which itself links Python) !! use wf_run, only: & wandb_init, & wandb_log, & wandb_finish, & wandb_shutdown use wf_config, only: & wandb_config_set, & wandb_config_get use wf_sweep, only: & wandb_sweep_config_type, & wandb_sweep, & wandb_agent, & wandb_sweep_start_agent, & wandb_sweep_next_params, & wandb_sweep_run_done implicit none end module wf