diff --git a/tests/pytorch/test_fusible_ops.py b/tests/pytorch/test_fusible_ops.py
index 0f40e92183..c73f560565 100644
--- a/tests/pytorch/test_fusible_ops.py
+++ b/tests/pytorch/test_fusible_ops.py
@@ -4658,7 +4658,6 @@ def test_grouped_gemm_quant_cute_matches_mxfp8_quantized() -> None:
         norm_const_tensor=None,
         prob_tensor=inputs["prob_tensor"],
         acc_dtype=torch.float32,
-        c_dtype=torch.bfloat16,
         d_dtype=torch.bfloat16,
         cd_major="n",
         sf_vec_size=32,
diff --git a/transformer_engine/pytorch/ops/fused/backward_grouped_mlp.py b/transformer_engine/pytorch/ops/fused/backward_grouped_mlp.py
index aca49e9866..29273a5b47 100644
--- a/transformer_engine/pytorch/ops/fused/backward_grouped_mlp.py
+++ b/transformer_engine/pytorch/ops/fused/backward_grouped_mlp.py
@@ -687,7 +687,6 @@ def fuser_backward(
                 "norm_const_tensor": None,
                 "prob_tensor": torch.ones((out_shape[0], 1, 1), dtype=torch.float32, device=device),
                 "acc_dtype": torch.float32,
-                "c_dtype": dtype,
                 "d_dtype": dtype,
                 "cd_major": "n",
                 "sf_vec_size": MXFP8_BLOCK_SCALING_SIZE,
diff --git a/transformer_engine/pytorch/ops/fused/forward_grouped_mlp.py b/transformer_engine/pytorch/ops/fused/forward_grouped_mlp.py
index 90c4204f06..cad31e2c50 100644
--- a/transformer_engine/pytorch/ops/fused/forward_grouped_mlp.py
+++ b/transformer_engine/pytorch/ops/fused/forward_grouped_mlp.py
@@ -436,7 +436,6 @@ def fuser_forward(
             "norm_const_tensor": None,
             "prob_tensor": fc2_scales_tensor,
             "acc_dtype": torch.float32,
-            "c_dtype": dtype,
             "d_dtype": dtype,
             "cd_major": "n",
             "sf_vec_size": MXFP8_BLOCK_SCALING_SIZE,