medfilt1 calculates median for dim1 only, then copies this to all other dims

從 Python binding 入口 af.medfilt1 開始，使用視窗大小 3 重現報告中的 10×10 範例。比較各維度的輸出；當篩選保留每個維度的結果，而不是將 dim1 複製到整個 array 時，工作即完成。

In arrayfire previously, I've used medfilt1 to apply a median filter to multiple dimensions. However, in the python binding the output from dim1 is copied to all other dims.

For example:
import arrayfire as af
data = af.randn(10, 10)
filt_data = af.medfilt1(data, 3)

filt_data.to_ndarray()
array([[ 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 ,
0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 ],
[ 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 ,
0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 ],
[ 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 ,
0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 , 0.3926208 ],
[-0.2309244 , -0.2309244 , -0.2309244 , -0.2309244 , -0.2309244 ,
-0.2309244 , -0.2309244 , -0.2309244 , -0.2309244 , -0.2309244 ],
[ 0.43086785, 0.43086785, 0.43086785, 0.43086785, 0.43086785,
0.43086785, 0.43086785, 0.43086785, 0.43086785, 0.43086785],
[-0.24984777, -0.24984777, -0.24984777, -0.24984777, -0.24984777,
-0.24984777, -0.24984777, -0.24984777, -0.24984777, -0.24984777],
[ 0.43086785, 0.43086785, 0.43086785, 0.43086785, 0.43086785,
0.43086785, 0.43086785, 0.43086785, 0.43086785, 0.43086785],
[-0.82585084, -0.82585084, -0.82585084, -0.82585084, -0.82585084,
-0.82585084, -0.82585084, -0.82585084, -0.82585084, -0.82585084],
[ 0.26141813, 0.26141813, 0.26141813, 0.26141813, 0.26141813,
0.26141813, 0.26141813, 0.26141813, 0.26141813, 0.26141813],
[ 0. , 0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. , 0. ]],
dtype=float32)