fix bug

mindspore/ccsrc/minddata/dataset/api/execute.cc

@@ -266,15 +266,18 @@ Status Execute::operator()(const mindspore::MSTensor &input, mindspore::MSTensor
 
     // Apply transforms on tensor
     for (auto &t : transforms) {
-      std::shared_ptr<dataset::Tensor> de_output;
-      Status rc_ = t->Compute(de_tensor, &de_output);
+      TensorRow de_tensor_row;
+      TensorRow de_output_row;
+      de_tensor_row.push_back(de_tensor);
+      de_output_row.resize(1);
+      Status rc_ = t->Compute(de_tensor_row, &de_output_row);
       if (rc_.IsError()) {
         MS_LOG(ERROR) << rc_;
         return rc_;
       }
 
       // For next transform
-      de_tensor = std::move(de_output);
+      de_tensor = std::move(de_output_row[0]);
     }
 
     // Convert dataset::Tensor to mindspore::Tensor

mindspore/ccsrc/minddata/dataset/kernels/image/random_crop_op.cc

@@ -136,7 +136,7 @@ Status RandomCropOp::Compute(const TensorRow &input, TensorRow *output) {
                    &padded_image_h, &crop_further));
     if (!crop_further) {
       (*output)[i] = pad_image;
-      return Status::OK();
+      continue;
     }
     if (i == 0) {
       GenRandomXY(&x, &y, padded_image_w, padded_image_h);

mindspore/dataset/vision/c_transforms.py

@@ -301,12 +301,13 @@ class ConvertColor(ImageTensorOperation):
             - ConvertMode.COLOR_RGBA2GRAY, Convert RGBA image to GRAY image.
 
     Examples:
+        >>> import mindspore.dataset.vision.utils as mode
         >>> # Convert RGB images to GRAY images
-        >>> convert_op = c_vision.ConvertColor(ConvertMode.COLOR_RGB2GRAY)
+        >>> convert_op = c_vision.ConvertColor(mode.ConvertMode.COLOR_RGB2GRAY)
         >>> image_folder_dataset = image_folder_dataset.map(operations=convert_op,
         ...                                                 input_columns=["image"])
         >>> # Convert RGB images to BGR images
-        >>> convert_op = c_vision.ConvertColor(ConvertMode.COLOR_RGB2BGR)
+        >>> convert_op = c_vision.ConvertColor(mode.ConvertMode.COLOR_RGB2BGR)
         >>> image_folder_dataset_1 = image_folder_dataset_1.map(operations=convert_op,
         ...                                                     input_columns=["image"])
     """