def __interpolate(g, input, size, scale_factor, mode, align_corners, recompute_scale_factor):
align_corners = sym_help._maybe_get_const(align_corners, 'b')
if not sym_help._is_none(align_corners) and align_corners:
return _unimplemented("interpolate", "align_corners == True")
if not sym_help._is_none(scale_factor) and sym_help._is_value(scale_factor):
return _unimplemented("interpolate", "dynamic scales in opset 8")
if not sym_help._is_none(size) and sym_help._is_value(size):
return _unimplemented("interpolate", "dynamic size in opset 8")
scales, mode = sym_help._interpolate_get_scales_and_mode(g, input, size, scale_factor,
mode , align_corners)
return g.op("Upsample", input, mode_s=mode, scales_f=scales)
def __interpolate(g, input, size, scale_factor, mode , align_corners, recompute_scale_factor):
scales, mode = sym_help._interpolate_get_scales_and_mode(g, input, size, scale_factor,
mode , align_corners)
return g.op("Resize", input, scales, mode_s=mode)
