fix numpy_native ci error on cpu

mindspore/numpy/array_creations.py

@@ -451,6 +451,7 @@ def _type_checking_for_xspace(start, stop, num, endpoint, dtype, axis):
         dtype = _check_dtype(dtype)
     else:
         dtype = mstype.float32
+    start, stop = broadcast_arrays(start, stop)
     axis = _canonicalize_axis(axis, start.ndim+1)
     return start, stop, num, endpoint, dtype, axis
 
@@ -499,8 +500,6 @@ def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis
     start, stop, num, endpoint, dtype, axis = _type_checking_for_xspace(start, stop, num, endpoint, dtype, axis)
     if not isinstance(retstep, bool):
         _raise_type_error("retstep should be an boolean, but got ", retstep)
-    start, stop = broadcast_arrays(start, stop)
-    axis = _canonicalize_axis(axis, start.ndim+1)
     bounds_shape = start.shape
     bounds_shape = _tuple_slice(bounds_shape, None, axis) + (1,) + _tuple_slice(bounds_shape, axis, None)
     iota_shape = _list_comprehensions(start.ndim+1, 1, True)

tests/st/numpy_native/__init__.py

@@ -18,4 +18,4 @@ import mindspore.context as context
 
 # pylint: disable=unused-argument
 def setup_module(module):
-    context.set_context(mode=context.GRAPH_MODE)
+    context.set_context(mode=context.PYNATIVE_MODE)

tests/st/numpy_native/test_array_creations.py

@@ -332,7 +332,7 @@ def test_arange():
     match_array(actual, expected, error=6)
 
 
-@pytest.mark.level1
+@pytest.mark.level0
 @pytest.mark.platform_arm_ascend_training
 @pytest.mark.platform_x86_ascend_training
 @pytest.mark.platform_x86_gpu_training
@@ -363,6 +363,10 @@ def test_linspace():
         2.0, [3, 4, 5], num=5, endpoint=False).asnumpy()
     match_array(actual, expected, error=6)
 
+    actual = onp.linspace(2.0, [[3, 4, 5]], num=5, endpoint=False, axis=2)
+    expected = mnp.linspace(2.0, [[3, 4, 5]], num=5, endpoint=False, axis=2).asnumpy()
+    match_array(actual, expected, error=6)
+
     start = onp.random.random([2, 1, 4]).astype("float32")
     stop = onp.random.random([1, 5, 1]).astype("float32")
     actual = onp.linspace(start, stop, num=20, retstep=True,