JL training pseudocode

gistfile1.txt

model = jaxLightningModule()
def fit(model):
  opt = model.configure_optimizers()
  opt_state = opt.init(model.params)
  for iter
     for batch
         losses = model.step(batch)
         grads = jax.grad(losses, model.params)
         grad = model.reduce_gradients(grads)
         param_update, opt_state = opt.update(grad, opt_state, model.params)
         model.params = optax.apply_update(model.params, param_update)