diff --git a/examples/natural_robustness/natural_robustness_example.py b/examples/natural_robustness/natural_robustness_example.py
index 203abb8..34a5cfe 100644
--- a/examples/natural_robustness/natural_robustness_example.py
+++ b/examples/natural_robustness/natural_robustness_example.py
@@ -163,7 +163,7 @@ if __name__ == '__main__':
     test_gaussian_noise(img)
     test_motion_blur(img)
     test_gradient_blur(img)
-    test_gradient_luminance(img)      #####
+    test_gradient_luminance(img)
     test_natural_noise(img)
     test_curve(img)
     test_rotate(img)
diff --git a/tests/ut/python/natural_robustness/test_natural_robustness.py b/tests/ut/python/natural_robustness/test_natural_robustness.py
new file mode 100644
index 0000000..e7bfa05
--- /dev/null
+++ b/tests/ut/python/natural_robustness/test_natural_robustness.py
@@ -0,0 +1,577 @@
+# Copyright 2022 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.
+
+"""Example for natural robustness methods."""
+
+import pytest
+import numpy as np
+from mindspore import context
+
+from mindarmour.natural_robustness.image import Translate, Curve, Perspective, Scale, Shear, Rotate, SaltAndPepperNoise, \
+    NaturalNoise, GaussianNoise, UniformNoise, MotionBlur, GaussianBlur, GradientBlur, Contrast, GradientLuminance
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_perspective():
+    """
+    Feature: Test image perspective.
+    Description: Image will be transform for given perspective projection.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    ori_pos = [[0, 0], [0, 800], [800, 0], [800, 800]]
+    dst_pos = [[50, 0], [0, 800], [780, 0], [800, 800]]
+    trans = Perspective(ori_pos, dst_pos)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_uniform_noise():
+    """
+    Feature: Test image uniform noise.
+    Description: Add uniform image in image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = UniformNoise(factor=0.1)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_gaussian_noise():
+    """
+    Feature: Test image gaussian noise.
+    Description: Add gaussian image in image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = GaussianNoise(factor=0.1)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_contrast():
+    """
+    Feature: Test image contrast.
+    Description: Adjust image contrast.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = Contrast(alpha=0.3, beta=0)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_gaussian_blur():
+    """
+    Feature: Test image gaussian blur.
+    Description: Add gaussian blur to image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = GaussianBlur(ksize=5)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_salt_and_pepper_noise():
+    """
+    Feature: Test image salt and pepper noise.
+    Description: Add salt and pepper to image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = SaltAndPepperNoise(factor=0.01)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_translate():
+    """
+    Feature: Test image translate.
+    Description: Translate an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = Translate(x_bias=0.1, y_bias=0.1)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_scale():
+    """
+    Feature: Test image scale.
+    Description: Scale an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = Scale(factor_x=0.7, factor_y=0.7)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_shear():
+    """
+    Feature: Test image shear.
+    Description: Shear an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = Shear(factor=0.2)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_rotate():
+    """
+    Feature: Test image rotate.
+    Description: Rotate an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = Rotate(angle=20)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_curve():
+    """
+    Feature: Test image curve.
+    Description: Transform an image with curve.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = Curve(curves=1.5, depth=1.5, mode='horizontal')
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_natural_noise():
+    """
+    Feature: Test natural noise.
+    Description: Add natural noise to an.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    trans = NaturalNoise(ratio=0.0001, k_x_range=(1, 30), k_y_range=(1, 10), auto_param=True)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_gradient_luminance():
+    """
+    Feature: Test gradient luminance.
+    Description: Adjust image luminance.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    height, width = image.shape[:2]
+    point = (height // 4, width // 2)
+    start = (255, 255, 255)
+    end = (0, 0, 0)
+    scope = 0.3
+    bright_rate = 0.4
+    trans = GradientLuminance(start, end, start_point=point, scope=scope, pattern='dark', bright_rate=bright_rate,
+                              mode='horizontal')
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_motion_blur():
+    """
+    Feature: Test motion blur.
+    Description: Add motion blur to an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    angle = -10.5
+    i = 3
+    trans = MotionBlur(degree=i, angle=angle)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_cpu
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_gradient_blur():
+    """
+    Feature: Test gradient blur.
+    Description: Add gradient blur to an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
+    image = np.random.random((32, 32, 3))
+    number = 10
+    h, w = image.shape[:2]
+    point = (int(h / 5), int(w / 5))
+    center = False
+    trans = GradientBlur(point, number, center)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_perspective_ascend():
+    """
+    Feature: Test image perspective.
+    Description: Image will be transform for given perspective projection.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    ori_pos = [[0, 0], [0, 800], [800, 0], [800, 800]]
+    dst_pos = [[50, 0], [0, 800], [780, 0], [800, 800]]
+    trans = Perspective(ori_pos, dst_pos)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_uniform_noise_ascend():
+    """
+    Feature: Test image uniform noise.
+    Description: Add uniform image in image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = UniformNoise(factor=0.1)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_gaussian_noise_ascend():
+    """
+    Feature: Test image gaussian noise.
+    Description: Add gaussian image in image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = GaussianNoise(factor=0.1)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_contrast_ascend():
+    """
+    Feature: Test image contrast.
+    Description: Adjust image contrast.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = Contrast(alpha=0.3, beta=0)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_gaussian_blur_ascend():
+    """
+    Feature: Test image gaussian blur.
+    Description: Add gaussian blur to image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = GaussianBlur(ksize=5)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_salt_and_pepper_noise_ascend():
+    """
+    Feature: Test image salt and pepper noise.
+    Description: Add salt and pepper to image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = SaltAndPepperNoise(factor=0.01)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_translate_ascend():
+    """
+    Feature: Test image translate.
+    Description: Translate an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = Translate(x_bias=0.1, y_bias=0.1)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_ascend_mindarmour
+def test_scale_ascend():
+    """
+    Feature: Test image scale.
+    Description: Scale an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = Scale(factor_x=0.7, factor_y=0.7)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_shear_ascend():
+    """
+    Feature: Test image shear.
+    Description: Shear an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = Shear(factor=0.2)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_rotate_ascend():
+    """
+    Feature: Test image rotate.
+    Description: Rotate an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = Rotate(angle=20)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_curve_ascend():
+    """
+    Feature: Test image curve.
+    Description: Transform an image with curve.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = Curve(curves=1.5, depth=1.5, mode='horizontal')
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_natural_noise_ascend():
+    """
+    Feature: Test natural noise.
+    Description: Add natural noise to an.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    trans = NaturalNoise(ratio=0.0001, k_x_range=(1, 30), k_y_range=(1, 10), auto_param=True)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_gradient_luminance_ascend():
+    """
+    Feature: Test gradient luminance.
+    Description: Adjust image luminance.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    height, width = image.shape[:2]
+    point = (height // 4, width // 2)
+    start = (255, 255, 255)
+    end = (0, 0, 0)
+    scope = 0.3
+    bright_rate = 0.4
+    trans = GradientLuminance(start, end, start_point=point, scope=scope, pattern='dark', bright_rate=bright_rate,
+                              mode='horizontal')
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_motion_blur_ascend():
+    """
+    Feature: Test motion blur.
+    Description: Add motion blur to an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    angle = -10.5
+    i = 3
+    trans = MotionBlur(degree=i, angle=angle)
+    dst = trans(image)
+    print(dst)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_card
+@pytest.mark.component_mindarmour
+def test_gradient_blur_ascend():
+    """
+    Feature: Test gradient blur.
+    Description: Add gradient blur to an image.
+    Expectation: success.
+    """
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    image = np.random.random((32, 32, 3))
+    number = 10
+    h, w = image.shape[:2]
+    point = (int(h / 5), int(w / 5))
+    center = False
+    trans = GradientBlur(point, number, center)
+    dst = trans(image)
+    print(dst)