[KUNLUNXIN] open elu and repeat_interleave_tensor in benchmark (flagos-ai#728)

* change for kunlunxin

* format fix

* open benchmark case

* code format fix

Author: nianqi-tian

benchmark/test_tensor_concat_perf.py

@@ -197,7 +197,6 @@ def repeat_interleave_tensor_input_fn(shape, dtype, device):
 def test_tensor_repeat_benchmark(op_name, torch_op, input_fn, dtypes):
     if vendor_name == "kunlunxin" and op_name in [
         "repeat_interleave_self_tensor",
-        "repeat_interleave_tensor",
     ]:
         pytest.skip("RUNTIME TODOFIX")
     bench = TensorRepeatBenchmark(

benchmark/test_unary_pointwise_perf.py

@@ -12,7 +12,7 @@
     FLOAT_DTYPES,
     INT_DTYPES,
 )
-from .performance_utils import Benchmark, generate_tensor_input, vendor_name
+from .performance_utils import Benchmark, generate_tensor_input
 
 
 class UnaryPointwiseBenchmark(Benchmark):
@@ -94,8 +94,6 @@ def get_tflops(self, op, *args, **kwargs):
     ],
 )
 def test_general_unary_pointwise_perf(op_name, torch_op, dtypes):
-    if vendor_name == "kunlunxin" and op_name == "elu":
-        pytest.skip("RUNTIME TODOFIX")
     bench = UnaryPointwiseBenchmark(op_name=op_name, torch_op=torch_op, dtypes=dtypes)
     bench.run()