[Frontend][PaddlePaddle]split test_forward_math_api function

tests/python/frontend/paddlepaddle/test_forward.py

@@ -1358,7 +1358,10 @@ def slice4(inputs):
 
 
 @tvm.testing.uses_gpu
-def test_forward_math_api():
+def run_math_api(func):
+    api_name = func.__name__.split("_")[-1]
+    print("func_name:", api_name)
+
     class MathAPI(nn.Layer):
         def __init__(self, api_name):
             super(MathAPI, self).__init__()
@@ -1371,52 +1374,198 @@ def __init__(self, api_name):
         def forward(self, inputs):
             return self.func(inputs)
 
-    api_list = [
-        "abs",
-        "acos",
-        "asin",
-        "atan",
-        "ceil",
-        "cos",
-        "cosh",
-        "elu",
-        "erf",
-        "exp",
-        "floor",
-        "hardshrink",
-        "hardtanh",
-        "log_sigmoid",
-        "log_softmax",
-        "log",
-        "log2",
-        "log10",
-        "log1p",
-        "reciprocal",
-        "relu",
-        "relu6",
-        "round",
-        "rsqrt",
-        "selu",
-        "sigmoid",
-        "sign",
-        "sin",
-        "sinh",
-        "softplus",
-        "softsign",
-        "sqrt",
-        "square",
-        "swish",
-        "tan",
-        "tanh",
-    ]
     input_shapes = [[128], [2, 100], [10, 2, 5], [7, 3, 4, 1]]
     for input_shape in input_shapes:
         input_data = paddle.rand(input_shape, dtype="float32")
-        for api_name in api_list:
-            if api_name in ["log", "log2", "log10", "reciprocal", "sqrt", "rsqrt"]:
-                # avoid illegal input, all elements should be positive
-                input_data = paddle.uniform(input_shape, min=0.01, max=0.99)
-            verify_model(MathAPI(api_name), input_data=input_data)
+        if api_name in ["log", "log2", "log10", "reciprocal", "sqrt", "rsqrt"]:
+            # avoid illegal input, all elements should be positive
+            input_data = paddle.uniform(input_shape, min=0.01, max=0.99)
+        verify_model(MathAPI(api_name), input_data=input_data)
+
+
+@run_math_api
+def test_forward_abs():
+    pass
+
+
+@run_math_api
+def test_forward_acos():
+    pass
+
+
+@run_math_api
+def test_forward_abs():
+    pass
+
+
+@run_math_api
+def test_forward_atan():
+    pass
+
+
+@run_math_api
+def test_forward_ceil():
+    pass
+
+
+@run_math_api
+def test_forward_cos():
+    pass
+
+
+@run_math_api
+def test_forward_cosh():
+    pass
+
+
+@run_math_api
+def test_forward_elu():
+    pass
+
+
+@run_math_api
+def test_forward_erf():
+    pass
+
+
+@run_math_api
+def test_forward_exp():
+    pass
+
+
+@run_math_api
+def test_forward_floor():
+    pass
+
+
+@run_math_api
+def test_forward_hardshrink():
+    pass
+
+
+@run_math_api
+def test_forward_hardtanh():
+    pass
+
+
+@run_math_api
+def test_forward_log_sigmoid():
+    pass
+
+
+@run_math_api
+def test_forward_log_softmax():
+    pass
+
+
+@run_math_api
+def test_forward_log():
+    pass
+
+
+@run_math_api
+def test_forward_log2():
+    pass
+
+
+@run_math_api
+def test_forward_log10():
+    pass
+
+
+@run_math_api
+def test_forward_log1p():
+    pass
+
+
+@run_math_api
+def test_forward_reciprocal():
+    pass
+
+
+@run_math_api
+def test_forward_relu():
+    pass
+
+
+@run_math_api
+def test_forward_round():
+    pass
+
+
+@run_math_api
+def test_forward_rsqrt():
+    pass
+
+
+@run_math_api
+def test_forward_selu():
+    pass
+
+
+@run_math_api
+def test_forward_sigmoid():
+    pass
+
+
+@run_math_api
+def test_forward_sign():
+    pass
+
+
+@run_math_api
+def test_forward_sin():
+    pass
+
+
+@run_math_api
+def test_forward_softplus():
+    pass
+
+
+@run_math_api
+def test_forward_sqrt():
+    pass
+
+
+@run_math_api
+def test_forward_square():
+    pass
+
+
+@run_math_api
+def test_forward_sin():
+    pass
+
+
+@run_math_api
+def test_forward_softsign():
+    pass
+
+
+@run_math_api
+def test_forward_sqrt():
+    pass
+
+
+@run_math_api
+def test_forward_square():
+    pass
+
+
+@run_math_api
+def test_forward_swish():
+    pass
+
+
+@run_math_api
+def test_forward_tan():
+    pass
+
+
+@run_math_api
+def test_forward_tanh():
+    pass
 
 
 @tvm.testing.uses_gpu