def temporal_padding(x, padding=(1, 1)):
data_format = _normalize_data_format(None) # uses image_data_format()
lo_pads = [padding[0]]
hi_pads = [padding[1]]
return _KerasNode('temporal_padding',
tensor=plaidml_op.spatial_padding(x.tensor,
lo_pads=lo_pads,
hi_pads=hi_pads,
data_layout=data_format))
def spatial_3d_padding(x, padding=((1, 1), (1, 1), (1, 1)), data_format=None):
data_format = _normalize_data_format(data_format)
lo_pads = [padding[i][0] for i in range(3)]
hi_pads = [padding[i][1] for i in range(3)]
return _KerasNode('spatial_2d_padding',
tensor=plaidml_op.spatial_padding(x.tensor,
lo_pads=lo_pads,
hi_pads=hi_pads,
data_layout=data_format))
