Created by: iclementine

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reproduce:

import numpy as np
from paddle import fluid
import paddle.fluid.layers as F
import paddle.fluid.dygraph as dg

x = np.reshape(np.arange(20), (4, 5)).astype(np.float32)
print(x)
place = fluid.CPUPlace()
with dg.guard(place):
    x_var = dg.to_variable(x)
    y_var = F.reverse(x_var, axis=-1)
    y_np = y_var.numpy()
    print(y_np)

output:

[[ 0.  1.  2.  3.  4.]
 [ 5.  6.  7.  8.  9.]
 [10. 11. 12. 13. 14.]
 [15. 16. 17. 18. 19.]]

[[ 0.  1.  2.  3.  4.]
 [ 5.  6.  7.  8.  9.]
 [10. 11. 12. 13. 14.]
 [15. 16. 17. 18. 19.]]

expected ouput:

[[ 0.  1.  2.  3.  4.]
 [ 5.  6.  7.  8.  9.]
 [10. 11. 12. 13. 14.]
 [15. 16. 17. 18. 19.]]

[[ 4.  3.  2.  1.  0.]
 [ 9.  8.  7.  6.  5.]
 [14. 13. 12. 11. 10.]
 [19. 18. 17. 16. 15.]]

When I use axis=1, I get the expected behavior.