# Function Differences with tf.image.rot90

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## tf.image.rot90

```python
tf.image.rot90(
    image,
    k=1,
    name=None
)
```

For more information, see [tf.image.rot90](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/image/rot90).

## mindspore.dataset.vision.c_transforms.Rotate

```python
class mindspore.dataset.vision.c_transforms.Rotate(
    degrees,
    resample=Inter.NEAREST,
    expand=False,
    center=None,
    fill_value=0
)
```

For more information, see [mindspore.dataset.vision.c_transforms.Rotate](https://mindspore.cn/docs/en/r1.7/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Rotate.html#mindspore.dataset.vision.c_transforms.Rotate).

## Differences

TensorFlow: Rotate the image counter-clockwise, by 90 degrees each time.

MindSpore: Rotate the image counter-clockwise with any specified angle, and pad the area outside the rotated image.

## Code Example

```python
# The following implements Rotate with MindSpore.
import numpy as np
import mindspore.dataset as ds

image = np.array([[[0.1], [0.2]], [[0.3], [0.4]], [[0.5], [0.6]]])
result = ds.vision.c_transforms.Rotate(90)(image)
print(result)
# [[[0. ], [0. ]],
#  [[0.4], [0.6]],
#  [[0.3], [0.5]]]

# The following implements rot90 with TensorFlow.
import tensorflow as tf

image = tf.constant([[[0.1], [0.2]], [[0.3], [0.4]], [[0.5], [0.6]]])
result = tf.image.rot90(image, k=1)
print(result)
# [[[0.2], [0.4], [0.6]],
#  [[0.1], [0.3], [0.5]]]
```