diff --git a/framework/api/nn/test_pixel_shuffle.py b/framework/api/nn/test_pixel_shuffle.py
new file mode 100644
index 0000000000..7fc24823ba
--- /dev/null
+++ b/framework/api/nn/test_pixel_shuffle.py
@@ -0,0 +1,184 @@
+#!/bin/env python
+# -*- coding: utf-8 -*-
+# encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
+"""
+test_pixel_shuffle
+"""
+
+from apibase import APIBase
+from apibase import randtool, compare
+import paddle
+import pytest
+import numpy as np
+
+
+def pixel_shuffle_np(x, up_factor, data_format="NCHW"):
+    """
+    pixel shuffle implemented by numpy.
+    """
+    if data_format == "NCHW":
+        n, c, h, w = x.shape
+        new_shape = (n, c // (up_factor * up_factor), up_factor, up_factor, h, w)
+        npresult = np.reshape(x, new_shape)
+        npresult = npresult.transpose(0, 1, 4, 2, 5, 3)
+        oshape = [n, c // (up_factor * up_factor), h * up_factor, w * up_factor]
+        npreslut = np.reshape(npresult, oshape)
+        return npreslut
+    else:
+        n, h, w, c = x.shape
+        new_shape = (n, h, w, c // (up_factor * up_factor), up_factor, up_factor)
+        npresult = np.reshape(x, new_shape)
+        npresult = npresult.transpose(0, 1, 4, 2, 5, 3)
+        oshape = [n, h * up_factor, w * up_factor, c // (up_factor * up_factor)]
+        npresult = np.reshape(npresult, oshape)
+        return npresult
+
+
+class TestPixelShuffle(APIBase):
+    """
+    test
+    """
+
+    def hook(self):
+        """
+        implement
+        """
+        self.types = [np.float32, np.float64]
+
+
+obj = TestPixelShuffle(paddle.nn.PixelShuffle)
+
+
+@pytest.mark.api_nn_PixelShuffle_vartype
+def test_pixel_shuffle_base():
+    """
+    Test base.
+
+    Test base config:
+        x = randtool("float", -10, 10, [2, 9, 4, 4])
+        up_factor = 3
+        data_format = "NCHW"
+
+    Expected Results:
+        The output of pixel shuffle implemented by numpy and paddle should be equal.
+    """
+    x = randtool("float", -10, 10, [2, 9, 4, 4])
+    up_factor = 3
+    data_format = "NCHW"
+    res = pixel_shuffle_np(x, up_factor, data_format=data_format)
+    obj.run(res=res, data=x, upscale_factor=up_factor, data_format=data_format)
+
+
+@pytest.mark.api_nn_PixelShuffle_parameters
+def test_pixel_shuffle_norm1():
+    """
+    Test pixel shuffle when input shape changes.
+
+    Test Base config:
+        x = randtool("float", -10, 10, [2, 9, 4, 4])
+        up_factor = 3
+        data_format = "NCHW"
+
+    Changes:
+        input shape: [2, 9, 4, 4] -> [4, 81, 4, 4]
+
+    Expected Results:
+        The output of pixel shuffle implemented by numpy and paddle should be equal.
+    """
+    x = randtool("float", -10, 10, [4, 81, 4, 4])
+    up_factor = 3
+    data_format = "NCHW"
+    res = pixel_shuffle_np(x, up_factor, data_format=data_format)
+    obj.run(res=res, data=x, upscale_factor=up_factor, data_format=data_format)
+
+
+@pytest.mark.api_nn_PixelShuffle_parameters
+def test_pixel_shuffle_norm2():
+    """
+    Test pixel shuffle when data_format changes.
+
+    Test Base config:
+        x = randtool("float", -10, 10, [2, 9, 4, 4])
+        up_factor = 3
+        data_format = "NCHW"
+
+    Changes:
+        input shape: [2, 9, 4, 4] -> [2, 4, 4, 9]
+        data_format: 'NCHW' -> 'NHWC'
+
+    Expected Results:
+        The output of pixel shuffle implemented by numpy and paddle should be equal.
+    """
+    x = randtool("float", -10, 10, [2, 4, 4, 9])
+    up_factor = 3
+    data_format = "NHWC"
+    res = pixel_shuffle_np(x, up_factor, data_format=data_format)
+    obj.run(res=res, data=x, upscale_factor=up_factor, data_format=data_format)
+
+
+@pytest.mark.api_nn_PixelShuffle_parameters
+def test_pixel_shuffle_norm3():
+    """
+    Test pixel shuffle when input data channels cann't be factorized by upscale_factor.
+
+    Test Base config:
+        x = randtool("float", -10, 10, [2, 9, 4, 4])
+        up_factor = 3
+        data_format = "NCHW"
+
+    Changes:
+        up_factor: 3 -> 4
+
+    Expected Results:
+        when input data channels cann't be factorized by upscale_factor, raise ValueError.
+    """
+    x = paddle.rand(shape=[2, 9, 4, 4])
+    up_factor = 4
+    data_format = "NCHW"
+    obj.exception(ValueError, mode="python", data=x, upscale_factor=up_factor, data_format=data_format)
+
+
+@pytest.mark.api_nn_PixelShuffle_parameters
+def test_pixel_shuffle_norm4():
+    """
+    Test pixel shuffle when input data dtype changes.
+
+    Test Base config:
+        x = randtool("float", -10, 10, [2, 9, 4, 4])
+        up_factor = 3
+        data_format = "NCHW"
+
+    Changes:
+        input data dtype: float -> int
+
+    Expected Results:
+        The output of pixel shuffle implemented by numpy and paddle should be equal.
+    """
+    x = randtool("int", -10, 10, [4, 9, 4, 4])
+    up_factor = 3
+    data_format = "NCHW"
+    res = pixel_shuffle_np(x, up_factor, data_format=data_format)
+    obj.run(res=res, data=x, upscale_factor=up_factor, data_format=data_format)
+
+
+@pytest.mark.api_nn_PixelShuffle_parameters
+def test_pixel_shuffle_norm5():
+    """
+    Test pixel shuffle when input value range changes.
+
+    Test Base config:
+        x = randtool("float", -10, 10, [2, 9, 4, 4])
+        up_factor = 3
+        data_format = "NCHW"
+
+    Changes:
+        input value: range(-10, 10) -> range(-2555, 2555)
+
+    Expected Results:
+        The output of pixel shuffle implemented by numpy and paddle should be equal.
+    """
+    x = randtool("float", -2555, 2555, [2, 9, 4, 4])
+    up_factor = 3
+    data_format = "NCHW"
+    res = pixel_shuffle_np(x, up_factor, data_format=data_format)
+    obj.run(res=res, data=x, upscale_factor=up_factor, data_format=data_format)