Added test from keras-team#457

keras_cv/layers/preprocessing/random_resized_crop_test.py

@@ -0,0 +1,29 @@
+# Copyright 2022 The KerasCV Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import tensorflow as tf
+
+from keras_cv import core
+from keras_cv.layers import preprocessing
+
+
+class RandomResizedCropTest(tf.test.TestCase):
+    def test_preserves_output_shape(self):
+        image_shape = (4, 300, 300, 3)
+        image = tf.random.uniform(shape=image_shape) * 255.0
+
+        layer = preprocessing.RandomResizeCrop(area_factor=(0.3, 0.8))
+        output = layer(image)
+
+        self.assertEqual(image.shape, output.shape)
+        self.assertNotAllClose(image, output)