[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

transformer_engine/pytorch/module/layernorm_mlp.py

@@ -1332,9 +1332,7 @@ def fc2_wgrad_gemm(
                 dact = dact_func(fc2_dgrad, fc1_out.to(ctx.activation_dtype), None, **act_params)
                 fc1_bias_grad = dact.sum(dim=0)
                 dact = ctx.fc1_grad_output_quantizer(dact)
-            elif (
-                _act_func(ctx.activation, fp8_recipe_bwd)[2] is not None and use_fp8_bwd
-            ):
+            elif _act_func(ctx.activation, fp8_recipe_bwd)[2] is not None and use_fp8_bwd:
                 # Fusion: gemm, bias + gelu + quantize
                 dbias_dact_quantize_func = _act_func(ctx.activation, fp8_recipe_bwd)[2]
                 fc1_bias_grad, dact = dbias_dact_quantize_func(

transformer_engine/pytorch/ops/fuser.py

@@ -294,11 +294,7 @@ def backward(
             FP8GlobalStateManager.is_fp8_enabled()
             and FP8GlobalStateManager.keep_backward_unquantized()
         )
-        if (
-            func_ctx.is_first_module
-            and not keep_backward_unquantized
-            and not _is_graph_capturing()
-        ):
+        if func_ctx.is_first_module and not keep_backward_unquantized and not _is_graph_capturing():
             FP8GlobalStateManager.reduce_and_update_fp8_tensors(forward=False)
 
         return (