!10109 [MD] Fix Decode doc & RandomNode log

From: @luoyang42
Reviewed-by: @heleiwang,@liucunwei
Signed-off-by: @liucunwei

mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/source/random_node.cc

@@ -54,7 +54,7 @@ Status RandomNode::ValidateParams() {
 
   // allow total_rows == 0 for now because RandomOp would generate a random row when it gets a 0
   CHECK_FAIL_RETURN_UNEXPECTED(total_rows_ == 0 || total_rows_ >= num_workers_,
-                               "RandomNode needs total_rows < num_workers. total_rows=" + std::to_string(total_rows_) +
+                               "RandomNode needs total_rows >= num_workers, total_rows=" + std::to_string(total_rows_) +
                                  ", num_workers=" + std::to_string(num_workers_) + ".");
 
   return Status::OK();

mindspore/dataset/vision/c_transforms.py

@@ -163,6 +163,7 @@ class Decode(cde.DecodeOp):
 
     Args:
         rgb (bool, optional): Mode of decoding input image (default=True).
+            If True means format of decoded image is RGB else BGR(deprecated).
 
     Examples:
         >>> import mindspore.dataset.vision.c_transforms as c_vision
@@ -186,7 +187,7 @@ class Decode(cde.DecodeOp):
             img (NumPy), Decoded image.
         """
         if not isinstance(img, np.ndarray) or img.ndim != 1 or img.dtype.type is np.str_:
-            raise TypeError("Input should be a 1-D NumPy with integer type, got {}.".format(type(img)))
+            raise TypeError("Input should be an encoded image with 1-D NumPy type, got {}.".format(type(img)))
         decode = cde.Execute(cde.DecodeOp(self.rgb))
         img = decode(cde.Tensor(np.asarray(img)))
         return img.as_array()

tests/ut/python/dataset/test_eager_vision.py

@@ -95,14 +95,14 @@ def test_eager_exceptions():
         img = C.Decode()(img)
         assert False
     except TypeError as e:
-        assert "Input should be a 1-D NumPy with integer type" in str(e)
+        assert "Input should be an encoded image with 1-D NumPy type" in str(e)
 
     try:
         img = np.array(["a", "b", "c"])
         img = C.Decode()(img)
         assert False
     except TypeError as e:
-        assert "Input should be a 1-D NumPy with integer type" in str(e)
+        assert "Input should be an encoded image with 1-D NumPy type" in str(e)
 
     try:
         img = cv2.imread("../data/dataset/apple.jpg")