remove torchdata

pvnet_app/app.py

@@ -41,8 +41,8 @@
 from ocf_datapipes.utils.utils import stack_np_examples_into_batch
 from pvnet_summation.models.base_model import BaseModel as SummationBaseModel
 from sqlalchemy.orm import Session
-from torchdata.dataloader2 import DataLoader2, MultiProcessingReadingService
-from torchdata.datapipes.iter import IterableWrapper
+from torch.utils.data import DataLoader
+from torch.utils.data.datapipes.iter import IterableWrapper
 
 import pvnet
 from pvnet.data.datamodule import batch_to_tensor, copy_batch_to_device
@@ -76,7 +76,7 @@
 # Huggingfacehub model repo and commit for PVNet summation (GSP sum to national model)
 # If summation_model_name is set to None, a simple sum is computed instead
 default_summation_model_name = "openclimatefix/pvnet_v2_summation"
-default_summation_model_version = "01393d6e4a036103f9c7111cba6f03d5c19beb54"
+default_summation_model_version = "6c5361101b461ae991662bdff05f7a0b77b4040b"
 
 model_name_ocf_db = "pvnet_v2"
 use_adjuster = os.getenv("USE_ADJUSTER", "True").lower() == "true"
@@ -396,12 +396,22 @@ def app(
     )
 
     # Set up dataloader for parallel loading
-    rs = MultiProcessingReadingService(
+    dataloader_kwargs = dict(
+        shuffle=False,
+        batch_size=None,  # batched in datapipe step
+        sampler=None,
+        batch_sampler=None,
         num_workers=num_workers,
-        multiprocessing_context="spawn",
-        worker_prefetch_cnt=0 if num_workers == 0 else 2,
+        collate_fn=None,
+        pin_memory=False,
+        drop_last=False,
+        timeout=0,
+        worker_init_fn=None,
+        prefetch_factor=None if num_workers == 0 else 2,
+        persistent_workers=False,
     )
-    dataloader = DataLoader2(batch_datapipe, reading_service=rs)
+
+    dataloader = DataLoader(batch_datapipe, **dataloader_kwargs)
 
     # ---------------------------------------------------------------------------
     # 3. set up model