[DCU] Skip alpha non-1 tests

Signed-off-by: zhaochao <zhaochao1@sugon.com>

tests/pytorch/test_fusible_ops.py

@@ -37,6 +37,7 @@ from transformer_engine.pytorch.tensor.float8_tensor import (
 from transformer_engine.pytorch.tensor.mxfp8_tensor import MXFP8Tensor, MXFP8Quantizer
 from transformer_engine.pytorch.utils import is_bf16_compatible
 import transformer_engine_torch as tex
+from torch.utils.cpp_extension import IS_HIP_EXTENSION
 
 # Import utility functions
 _current_file = pathlib.Path(__file__).resolve()
@@ -2040,6 +2041,8 @@ class TestFusedOps:
     ) -> None:
         """Forward GEMM + scale + add"""
 
+        if IS_HIP_EXTENSION and scale != 1:
+            pytest.skip("alpha must be 1.0 for hip")
         # Make input and weight shapes consistent
         out_features, in_features = weight_shape
         in_shape = list(in_shape)[:-1] + [in_features]
@@ -2336,7 +2339,8 @@ class TestFusedOps:
         quantized_weight: bool = False,
     ) -> None:
         """Backward dgrad GEMM + scale"""
-
+        if IS_HIP_EXTENSION and scale != 1:
+            pytest.skip("alpha must be 1.0 for hip")
         # Make input and weight shapes consistent
         out_features, in_features = weight_shape
         in_shape = list(in_shape)[:-1] + [in_features]