Align autoencoder splits and add multi-GPU training

README.md

@@ -64,9 +64,12 @@ Pretrain the exposure encoder as a denoising autoencoder using training-set EIDs
 ```bash
 python train_exposure_autoencoder.py \
   --exposure_cache_dir ukb_exposure_cache \
-  --train_eid_file ukb_train_eid.csv
+  --train_eid_file ukb_train_eid.csv \
+  --val_eid_file ukb_val_eid.csv
 ```
 
 The best checkpoint contains both `model_state_dict`, an `encoder_state_dict`
 compatible with the default gated `TimesNetExposureEncoder`, and the channel
 normalization statistics needed when the encoder is attached to DeepHealth.
+Multi-GPU pretraining follows the main trainer interface: add
+`--data_parallel --gpu_ids 0,1,2,3`.