Adds extra randomness to imagerecordio iterator test

apache · Nov 5, 2018 · 12ffd99 · 12ffd99
1 parent 98a9ee7
commit 12ffd99
Showing 1 changed file with 7 additions and 5 deletions.
diff --git a/tests/python/unittest/test_io.py b/tests/python/unittest/test_io.py
@@ -450,7 +450,8 @@ def test_ImageRecordIter_seed_augmentation():
         max_shear_ratio=2,
         seed_aug=seed_aug)
     batch = dataiter.next()
-    data = batch.data[0].asnumpy().astype(np.uint8)
+    test_index = rnd.randint(0, len(batch.data))
+    data = batch.data[test_index].asnumpy().astype(np.uint8)
 
     dataiter = mx.io.ImageRecordIter(
         path_imgrec="data/cifar/train.rec",
@@ -469,7 +470,7 @@ def test_ImageRecordIter_seed_augmentation():
         max_shear_ratio=2,
         seed_aug=seed_aug)
     batch = dataiter.next()
-    data2 = batch.data[0].asnumpy().astype(np.uint8)
+    data2 = batch.data[test_index].asnumpy().astype(np.uint8)
     assert(np.array_equal(data,data2))
 
     # check whether to get different images after change seed_aug
@@ -490,7 +491,7 @@ def test_ImageRecordIter_seed_augmentation():
         max_shear_ratio=2,
         seed_aug=seed_aug+1)
     batch = dataiter.next()
-    data2 = batch.data[0].asnumpy().astype(np.uint8)
+    data2 = batch.data[test_index].asnumpy().astype(np.uint8)
     assert(not np.array_equal(data,data2))
 
     # check whether seed_aug changes the iterator behavior
@@ -502,7 +503,8 @@ def test_ImageRecordIter_seed_augmentation():
         batch_size=3,
         seed_aug=seed_aug)
     batch = dataiter.next()
-    data = batch.data[0].asnumpy().astype(np.uint8)
+    test_index = rnd.randint(0, len(batch.data))
+    data = batch.data[test_index].asnumpy().astype(np.uint8)
 
     dataiter = mx.io.ImageRecordIter(
         path_imgrec="data/cifar/train.rec",
@@ -512,7 +514,7 @@ def test_ImageRecordIter_seed_augmentation():
         batch_size=3,
         seed_aug=seed_aug)
     batch = dataiter.next()
-    data2 = batch.data[0].asnumpy().astype(np.uint8)
+    data2 = batch.data[test_index].asnumpy().astype(np.uint8)
     assert(np.array_equal(data,data2))
 
 if __name__ == "__main__":