Fix formatting

Author: antonkesy

examples/cpu/features/int8_recipe_tuning/int8_autotune.py

@@ -84,7 +84,7 @@ def train(dataloader, model, loss_fn, optimizer):
 
 epochs = 5
 for t in range(epochs):
-    print(f"Epoch {t+1}\n-------------------------------")
+    print(f"Epoch {t + 1}\n-------------------------------")
     train(train_dataloader, model, loss_fn, optimizer)
 print("Done!")
 

examples/cpu/inference/python/models/bert_large/training/cpu/run_pretrain_mlperf.py

@@ -1158,8 +1158,8 @@ def main():
                 print(
                     f"Step {training_steps:5d}: loss: {gloss:6.3f} lm_acc: {lm_acc:.3f} \
                     seq_acc: {seq_acc:.3f} lbs: {args.train_batch_size} gbs: {total_batch_size} \
-                    DT: {(t1-t0)*1000.0:.1f} XT: {(t2-t1)*1000.0:.1f} FT: {(t3-t2)*1000.0:.1f} \
-                    BT: {(t4-t3)*1000.0:.1f} OT: {(t5-t4)*1000.0:.1f} TT: {(t5-t0)*1000.0:.1f}"
+                    DT: {(t1 - t0) * 1000.0:.1f} XT: {(t2 - t1) * 1000.0:.1f} FT: {(t3 - t2) * 1000.0:.1f} \
+                    BT: {(t4 - t3) * 1000.0:.1f} OT: {(t5 - t4) * 1000.0:.1f} TT: {(t5 - t0) * 1000.0:.1f}"
                 )
 
                 update_step = training_steps % args.gradient_accumulation_steps == 0

examples/cpu/llm/inference/distributed/run_generation_with_deepspeed.py

@@ -1064,7 +1064,7 @@ def trace_handler(prof):
     generated, _ = generate()
     t_generate_span = time.time() - t_generate_start
     for i, o, _ in generated:
-        print_rank0(f"{'-'*60}\nin={i}\nout={o}\n")
+        print_rank0(f"{'-' * 60}\nin={i}\nout={o}\n")
 
 # benchmark it!
 else:

intel_extension_for_pytorch/cpu/runtime/multi_stream.py

@@ -454,7 +454,9 @@ def _do_concat_output_for_each_stream(self, hint_object, output_object, idx_or_k
         else:
             AssertionError(
                 False
-            ), "Concat output failed, unsupported output hint type of:{}".format(type_arg)
+            ), "Concat output failed, unsupported output hint type of:{}".format(
+                type_arg
+            )
         return None
 
     def _concat_output_for_each_stream(self):