!3144 [MD] Fix ResizeOp behaviour

Merge pull request !3144 from nhussain/dataset_check

mindspore/dataset/transforms/vision/c_transforms.py

@@ -344,8 +344,6 @@ class Resize(cde.ResizeOp):
 
     @check_resize_interpolation
     def __init__(self, size, interpolation=Inter.LINEAR):
-        if isinstance(size, int):
-            size = (size, size)
         self.size = size
         self.interpolation = interpolation
         interpoltn = DE_C_INTER_MODE[interpolation]

tests/ut/python/dataset/test_resize.py

+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# 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
+#
+# http://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.
+# ==============================================================================
+"""
+Testing Resize op in DE
+"""
+import pytest
+import mindspore.dataset as ds
+import mindspore.dataset.transforms.vision.c_transforms as vision
+from mindspore.dataset.transforms.vision.utils import Inter
+from mindspore import log as logger
+from util import visualize_list, save_and_check_md5, \
+    config_get_set_seed, config_get_set_num_parallel_workers
+
+DATA_DIR = ["../data/dataset/test_tf_file_3_images/train-0000-of-0001.data"]
+SCHEMA_DIR = "../data/dataset/test_tf_file_3_images/datasetSchema.json"
+
+GENERATE_GOLDEN = False
+
+
+def test_resize_op(plot=False):
+    def test_resize_op_parameters(test_name, size, plot):
+        """
+        Test resize_op
+        """
+        logger.info("Test resize: {0}".format(test_name))
+        data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False)
+
+        # define map operations
+        decode_op = vision.Decode()
+        resize_op = vision.Resize(size)
+
+        # apply map operations on images
+        data1 = data1.map(input_columns=["image"], operations=decode_op)
+
+        data2 = data1.map(input_columns=["image"], operations=resize_op)
+        image_original = []
+        image_resized = []
+        for item1, item2 in zip(data1.create_dict_iterator(), data2.create_dict_iterator()):
+            image_1 = item1["image"]
+            image_2 = item2["image"]
+            image_original.append(image_1)
+            image_resized.append(image_2)
+        if plot:
+            visualize_list(image_original, image_resized)
+
+    test_resize_op_parameters("Test single int for size", 10, plot=False)
+    test_resize_op_parameters("Test tuple for size", (10, 15), plot=False)
+
+
+def test_resize_md5(plot=False):
+    def test_resize_md5_parameters(test_name, size, filename, seed, plot):
+        """
+        Test Resize with md5 check
+        """
+        logger.info("Test Resize with md5 check: {0}".format(test_name))
+        original_seed = config_get_set_seed(seed)
+        original_num_parallel_workers = config_get_set_num_parallel_workers(1)
+
+        # Generate dataset
+        data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False)
+        decode_op = vision.Decode()
+        resize_op = vision.Resize(size)
+        data1 = data1.map(input_columns=["image"], operations=decode_op)
+        data2 = data1.map(input_columns=["image"], operations=resize_op)
+        image_original = []
+        image_resized = []
+        # Compare with expected md5 from images
+        save_and_check_md5(data1, filename, generate_golden=GENERATE_GOLDEN)
+
+        for item1, item2 in zip(data1.create_dict_iterator(), data2.create_dict_iterator()):
+            image_1 = item1["image"]
+            image_2 = item2["image"]
+            image_original.append(image_1)
+            image_resized.append(image_2)
+        if plot:
+            visualize_list(image_original, image_resized)
+
+        # Restore configuration
+        ds.config.set_seed(original_seed)
+        ds.config.set_num_parallel_workers(original_num_parallel_workers)
+
+    test_resize_md5_parameters("Test single int for size", 5, "resize_01_result.npz", 5, plot)
+    test_resize_md5_parameters("Test tuple for size", (5, 7), "resize_02_result.npz", 7, plot)
+
+
+def test_resize_op_invalid_input():
+    def test_invalid_input(test_name, size, interpolation, error, error_msg):
+        logger.info("Test Resize with bad input: {0}".format(test_name))
+        with pytest.raises(error) as error_info:
+            vision.Resize(size, interpolation)
+        assert error_msg in str(error_info.value)
+
+    test_invalid_input("invalid size parameter type as a single number", 4.5, Inter.LINEAR, TypeError,
+                       "Size should be a single integer or a list/tuple (h, w) of length 2.")
+    test_invalid_input("invalid size parameter shape", (2, 3, 4), Inter.LINEAR, TypeError,
+                       "Size should be a single integer or a list/tuple (h, w) of length 2.")
+    test_invalid_input("invalid size parameter type in a tuple", (2.3, 3), Inter.LINEAR, TypeError,
+                       "incompatible constructor arguments.")
+    test_invalid_input("invalid Interpolation value", (2.3, 3), None, KeyError, "None")
+
+
+if __name__ == "__main__":
+    test_resize_op(plot=True)
+    test_resize_md5(plot=True)
+    test_resize_op_invalid_input()