Refine tensor to_string (#27925)

* refine to_string

* re-enable ut

python/paddle/fluid/tests/unittests/CMakeLists.txt

@@ -336,11 +336,6 @@ list(REMOVE_ITEM TEST_OPS test_conv3d_transpose_op)
 list(REMOVE_ITEM TEST_OPS test_imperative_data_loader_exception)
 list(REMOVE_ITEM TEST_OPS test_sampling_id_op)
 list(REMOVE_ITEM TEST_OPS test_parallel_executor_fetch_isolated_var)
-if (APPLE)
-    list(REMOVE_ITEM TEST_OPS test_imperative_framework)
-    list(REMOVE_ITEM TEST_OPS test_learning_rate_scheduler)
-    list(REMOVE_ITEM TEST_OPS test_var_base)
-endif()
 
 if (APPLE OR WIN32)
   list(REMOVE_ITEM TEST_OPS test_dataset)
@@ -606,4 +601,3 @@ if(NOT WIN32 AND NOT APPLE)
     set_tests_properties(test_pool3d_op PROPERTIES TIMEOUT 150)
     set_tests_properties(test_regularizer PROPERTIES TIMEOUT 150)
 endif()
-

python/paddle/tensor/to_string.py

@@ -136,7 +136,7 @@ def _format_item(np_var, max_width=0):
 
 def _get_max_width(var):
     max_width = 0
-    for item in np.nditer(var.numpy()):
+    for item in list(var.numpy().flatten()):
         item_str = _format_item(item)
         max_width = max(max_width, len(item_str))
     return max_width
@@ -147,7 +147,9 @@ def _format_tensor(var, sumary, indent=0):
     max_width = _get_max_width(_to_sumary(var))
 
     if len(var.shape) == 0:
-        return _format_item(var.numpy.items(0), max_width)
+        # currently, shape = [], i.e., scaler tensor is not supported.
+        # If it is supported, it should be formatted like this.
+        return _format_item(var.numpy().item(0), max_width)
     elif len(var.shape) == 1:
         if sumary and var.shape[0] > 2 * edgeitems:
             items = [