!1530 support tensor set item the number value type is similar as tensor dtype

Merge pull request !1530 from zhangbuxue/support_tensor_getitem_number_value_type_similar_as_tensor_dtype

mindspore/ops/composite/multitype_ops/_constexpr_utils.py

@@ -276,7 +276,7 @@ def check_value_elements(data_dtype, types):
             else:
                 raise TypeError(f"For '{TENSOR_SETITEM}', the data type of {i}th tensor '{ele_dtype}' "
                                 f"in value tuple is not consistent with assigned tensor data type '{data_dtype}'.")
-        elif mstype.issubclass_(ele, data_dtype):
+        elif mstype.dtype_to_pytype(ele) == mstype.dtype_to_pytype(data_dtype):
             scalars_number += 1
         else:
             raise TypeError(f"For '{TENSOR_SETITEM}', the {i}th element type '{ele}' in "

tests/ut/python/ops/test_tensor_slice.py

@@ -278,8 +278,8 @@ class TensorSetItemByMixedTensors_1(Cell):
 class TensorSetItemByMixedTensors_2(Cell):
     def __init__(self, value):
         super(TensorSetItemByMixedTensors_2, self).__init__()
-        self.const = Tensor(np.ones((3, 4, 5, 6, 7, 8), np.float32))
-        self.param = Parameter(Tensor(np.arange(3 * 4 * 5 * 6 * 7 * 8).reshape((3, 4, 5, 6, 7, 8)), mstype.float32),
+        self.const = Tensor(np.ones((3, 4, 5, 6, 7, 8), np.float16))
+        self.param = Parameter(Tensor(np.arange(3 * 4 * 5 * 6 * 7 * 8).reshape((3, 4, 5, 6, 7, 8)), mstype.float16),
                                name="x")
         self.value = value
 
@@ -911,7 +911,7 @@ test_cases = [
                         Tensor(np.random.randint(3, size=(2, 1, 4, 5)), mstype.int32)],
     }),
     ('TensorSetItemByMixedTensorsWithTensor_2', {
-        'block': TensorSetItemByMixedTensors_2(value=Tensor(np.ones((3, 4, 2, 3, 4, 5), np.float32))),
+        'block': TensorSetItemByMixedTensors_2(value=Tensor(np.ones((3, 4, 2, 3, 4, 5), np.float16))),
         'desc_inputs': [Tensor(np.random.randint(3, size=(3, 4, 5)), mstype.int32),
                         Tensor(np.random.randint(4, size=(4, 5)), mstype.int32),
                         Tensor(np.random.randint(3, size=(2, 1, 4, 5)), mstype.int32)],
@@ -923,9 +923,9 @@ test_cases = [
                         Tensor(np.random.randint(3, size=(2, 1, 4, 5)), mstype.int32)],
     }),
     ('TensorGetItemByMixedTensorsWithTupleOfTensor_2', {
-        'block': TensorSetItemByMixedTensors_2(value=(Tensor(np.ones((4, 5), np.float32)),
-                                                      Tensor(np.zeros((4, 5), np.float32)),
-                                                      Tensor(np.ones((4, 5), np.float32)))),
+        'block': TensorSetItemByMixedTensors_2(value=(Tensor(np.ones((4, 5), np.float16)),
+                                                      Tensor(np.zeros((4, 5), np.float16)),
+                                                      Tensor(np.ones((4, 5), np.float16)))),
         'desc_inputs': [Tensor(np.random.randint(3, size=(3, 4, 5)), mstype.int32),
                         Tensor(np.random.randint(4, size=(4, 5)), mstype.int32),
                         Tensor(np.random.randint(3, size=(2, 1, 4, 5)), mstype.int32)],