minor

Signed-off-by: realAsma <[email protected]>

Author: realAsma

modelopt/torch/quantization/algorithms.py

@@ -789,6 +789,7 @@ def register_custom_support(
         """(Optional) Register custom support for `AutoQuantize` score estimation.
 
         This custom support is used to enable memory/compute efficient backward gradient propagation. This involves:
+
         - `grad_ckpt_context`: backward pass with gradient checkpointing enabled
         - `is_param_grad_enabled`: AutoQuantize only needs activation gradients to be computed (not weight
           gradients). `is_param_grad_enabled` is used to select which parameters should have gradients enabled,