diff --git a/bris/inference.py b/bris/inference.py
index 14a0aca..35b052e 100644
--- a/bris/inference.py
+++ b/bris/inference.py
@@ -36,6 +36,8 @@ def __init__(
         self.precision = precision
         self._device = device
 
+        torch.set_float32_matmul_precision("high")
+
     @property
     def device(self) -> str:
         if self._device is None:
@@ -60,7 +62,7 @@ def strategy(self):
                 self.config.dataloader.get(
                     "read_group_size", self.config.hardware.num_gpus_per_model
                 ),
-                static_graph=not self.checkpoint.config.training.accum_grad_batches > 1,
+                static_graph=False, #not self.checkpoint.config.training.accum_grad_batches > 1,
             )
         else:
             LOGGER.info(
@@ -69,7 +71,7 @@ def strategy(self):
             from bris.data.legacy.distributed.strategy import DDPGroupStrategy
             return DDPGroupStrategy(
                 self.config.hardware.num_gpus_per_model,
-                static_graph=not self.checkpoint.config.training.accum_grad_batches > 1,
+                static_graph=False, #not self.checkpoint.config.training.accum_grad_batches > 1,
             )
             
 
@@ -78,7 +80,7 @@ def trainer(self) -> pl.Trainer:
         trainer = pl.Trainer(
             logger=False,
             accelerator=self.device,
-            deterministic=self.deterministic,
+            deterministic=False,
             detect_anomaly=False,
             strategy=self.strategy,
             devices=self.config.hardware.num_gpus_per_node,