Add dropout function for MindSpore Frontend

ivy/functional/frontends/mindspore/ops/function/nn_func.py

@@ -234,6 +234,25 @@ def conv3d(
     return _conv(input, weight, bias, stride, padding, dilation, groups)
 
 
+@with_supported_dtypes(
+    {
+        "2.0.0 and below": (
+            "int8",
+            "int16",
+            "int32",
+            "int64",
+            "float16",
+            "float32",
+            "float64",
+        )
+    },
+    "mindspore",
+)
+@to_ivy_arrays_and_back
+def dropout(input, p=0.5, training=True, seed=None):
+    return ivy.dropout(input, p, training=training, seed=seed)
+
+
 @with_supported_dtypes(
     {
         "2.0.0 and below": (

ivy_tests/test_ivy/test_frontends/test_mindspore/test_ops/test_function/test_mindspore_nn_func.py

@@ -360,6 +360,40 @@ def test_mindspore_conv3d(
     )
 
 
+#dropout
+@pytest.mark.skip("Testing pipeline not yet implemented")
+@handle_frontend_test(
+    fn_tree="mindspore.ops.function.nn_func.dropout",
+    d_type_and_x=helpers.dtype_and_values(),
+    p=helpers.floats(min_value=0.0, max_value=1.0),
+    training=st.booleans(),
+    seed=helpers.ints(min_value=0, max_value=100)
+)
+def test_mindspore_dropout(
+    *,
+    d_type_and_x,
+    p,
+    training,
+    seed,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+):
+    dtype, x = d_type_and_x
+    ret, frontend_ret = helpers.test_frontend_function(
+        input_dtypes=dtype,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        input=x[0],
+        p=p,
+        training=training,
+        seed=seed,
+    )
+
+
 # dropout2d
 @pytest.mark.skip("Testing pipeline not yet implemented")
 @handle_frontend_test(