add support platform of ops/Tensor hypot

docs/api/api_python_en/Tensor_list.rst

@@ -113,7 +113,6 @@
     mindspore.Tensor.expand_as
     mindspore.Tensor.expand_dims
     mindspore.Tensor.expm1
-    mindspore.Tensor.fill
     mindspore.Tensor.flatten
     mindspore.Tensor.flip
     mindspore.Tensor.fliplr

mindspore/python/mindspore/ops/function/math_func.py

@@ -4466,7 +4466,7 @@ def hypot(x, other):
         ValueError: If shape of two inputs are not broadcastable.
 
     Supported Platforms:
-        ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.array([3., 5., 7.]))

tests/st/ops/test_hypot.py

@@ -30,6 +30,9 @@ class Net(nn.Cell):
 @pytest.mark.level0
 @pytest.mark.platform_x86_cpu
 @pytest.mark.platform_arm_cpu
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
 @pytest.mark.parametrize('mode', [ms.GRAPH_MODE, ms.PYNATIVE_MODE])
 def test_hypot_normal(mode):

tests/st/tensor/test_hypot.py

@@ -29,6 +29,9 @@ class Net(nn.Cell):
 @pytest.mark.level0
 @pytest.mark.platform_x86_cpu
 @pytest.mark.platform_arm_cpu
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
 @pytest.mark.env_onecard
 @pytest.mark.parametrize('mode', [ms.GRAPH_MODE, ms.PYNATIVE_MODE])
 def test_hypot_normal(mode):