Bug fix

mindspore/ccsrc/dataset/kernels/image/uniform_aug_op.cc

@@ -55,11 +55,11 @@ Status UniformAugOp::Compute(const std::vector<std::shared_ptr<Tensor>> &input,
 
     // apply C++ ops (note: python OPs are not accepted)
     if (count == 1) {
-      (**tensor_op).Compute(input, output);
+      RETURN_IF_NOT_OK((**tensor_op).Compute(input, output));
     } else if (count % 2 == 0) {
-      (**tensor_op).Compute(*output, even_out_ptr);
+      RETURN_IF_NOT_OK((**tensor_op).Compute(*output, even_out_ptr));
     } else {
-      (**tensor_op).Compute(even_out, output);
+      RETURN_IF_NOT_OK((**tensor_op).Compute(even_out, output));
     }
     count++;
   }

tests/ut/python/dataset/test_uniform_augment.py

@@ -226,6 +226,27 @@ def test_cpp_uniform_augment_exception_nonpositive_numops(num_ops=0):
         logger.info("Got an exception in DE: {}".format(str(e)))
         assert "num_ops" in str(e)
 
+def test_cpp_uniform_augment_random_crop_ut():
+    batch_size=2
+    cifar10_dir = "../data/dataset/testCifar10Data"
+    ds1 = de.Cifar10Dataset(cifar10_dir, shuffle=False)  # shape = [32,32,3]
+
+    transforms_ua = [
+        C.RandomCrop(size=[224, 224]),
+        C.RandomHorizontalFlip()
+    ]
+    uni_aug = C.UniformAugment(operations=transforms_ua, num_ops=1)
+    ds1 = ds1.map(input_columns="image", operations=uni_aug)
+
+    # apply DatasetOps
+    ds1 = ds1.batch(batch_size, drop_remainder=True, num_parallel_workers=1)
+    num_batches = 0
+    try:
+        for data in ds1.create_dict_iterator():
+            num_batches += 1
+    except BaseException as e:
+        assert "Crop size" in str(e)
+
 
 if __name__ == "__main__":
     test_uniform_augment(num_ops=1)
@@ -233,3 +254,4 @@ if __name__ == "__main__":
     test_cpp_uniform_augment_exception_pyops(num_ops=1)
     test_cpp_uniform_augment_exception_large_numops(num_ops=6)
     test_cpp_uniform_augment_exception_nonpositive_numops(num_ops=0)
+    test_cpp_uniform_augment_random_crop_ut()