set save graphs False and add bprop for op cholesky trsm

Change thor log level

example/resnet50_imagenet2012_THOR/train.py

@@ -46,7 +46,7 @@ parser.add_argument('--dataset_path', type=str, default=None, help='Dataset path
 args_opt = parser.parse_args()
 device_id = int(os.getenv('DEVICE_ID'))
 
-context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", save_graphs=True, device_id=device_id)
+context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", save_graphs=False, device_id=device_id)
 
 
 def get_model_lr(global_step, lr_init, decay, total_epochs, steps_per_epoch):

mindspore/ccsrc/utils/convert_utils.cc

@@ -122,7 +122,7 @@ py::object ValuePtrToPyData(const ValuePtr &value) {
   } else if (value->isa<None>()) {
     ret = py::none();
   } else {
-    MS_LOG(EXCEPTION) << "Unsupported convert value: " << value->ToString() << " to a PyData.";
+    MS_LOG(INFO) << "Unsupported convert value: " << value->ToString() << " to a PyData.";
   }
   return ret;
 }

mindspore/ops/operations/thor_ops.py

@@ -96,6 +96,12 @@ class CusCholeskyTrsm(PrimitiveWithInfer):
         """init CusCholeskyTrsm"""
         self.init_prim_io_names(inputs=['x1'], outputs=['y'])
         from mindspore.ops._op_impl._custom_op.cholesky_trsm_impl import CusCholeskyTrsm
+
+    def get_bprop(self):
+        def bprop(x, out, dout):
+            return (C.zeros_like(x),)
+        return bprop
+
     def infer_shape(self, data1_shape):
         ll = []
         m, _ = data1_shape