Merge branch 'develop' into pr/initrv/8426

freqtrade/exchange/exchange.py

@@ -886,7 +886,7 @@ class Exchange:
                 'filled': _amount,
                 'remaining': 0.0,
                 'status': "closed",
-                'cost': (dry_order['amount'] * average) / leverage
+                'cost': (dry_order['amount'] * average)
             })
             # market orders will always incurr taker fees
             dry_order = self.add_dry_order_fee(pair, dry_order, 'taker')

freqtrade/freqai/base_models/BasePyTorchRegressor.py

@@ -45,5 +45,6 @@ class BasePyTorchRegressor(BasePyTorchModel):
             device=self.device
         )
         y = self.model.model(x)
+        y = y.cpu()
         pred_df = DataFrame(y.detach().numpy(), columns=[dk.label_list[0]])
         return (pred_df, dk.do_predict)

freqtrade/freqai/torch/PyTorchModelTrainer.py

@@ -143,8 +143,8 @@ class PyTorchModelTrainer(PyTorchTrainerInterface):
         """
         data_loader_dictionary = {}
         for split in splits:
-            x = self.data_convertor.convert_x(data_dictionary[f"{split}_features"])
-            y = self.data_convertor.convert_y(data_dictionary[f"{split}_labels"])
+            x = self.data_convertor.convert_x(data_dictionary[f"{split}_features"], self.device)
+            y = self.data_convertor.convert_y(data_dictionary[f"{split}_labels"], self.device)
             dataset = TensorDataset(*x, *y)
             data_loader = DataLoader(
                 dataset,

freqtrade/rpc/telegram.py

@@ -66,10 +66,7 @@ def authorized_only(command_handler: Callable[..., None]) -> Callable[..., Any]:
 
         chat_id = int(self._config['telegram']['chat_id'])
         if cchat_id != chat_id:
-            logger.info(
-                'Rejected unauthorized message from: %s',
-                update.message.chat_id
-            )
+            logger.info(f'Rejected unauthorized message from: {update.message.chat_id}')
             return wrapper
         # Rollback session to avoid getting data stored in a transaction.
         Trade.rollback()