def METHOD_NAME(outs):
    """Create schedule for tensors"""
    outs = [outs] if isinstance(outs, tvm.te.tensor.Tensor) else outs
    s = schedule_conv2d_nchw(outs)
    def _callback(op):
        if "unpack_nchwc" in op.tag:
            conv_out = op.input_tensors[0]
            # retrieve data
            data_vec = conv_out.op.input_tensors[0]
            if isinstance(data_vec, tvm.te.ComputeOp):
                data_pad = data_vec.op.input_tensors[0]
                data_dilate = data_pad.op.input_tensors[0]
                s[data_dilate].compute_inline()
                s[data_pad].compute_inline()
            # retrieve kernel
            kernel_vec = conv_out.op.input_tensors[1]
            if isinstance(kernel_vec, tvm.te.ComputeOp):
                kernel_transform = kernel_vec.op.input_tensors[0]
                s[kernel_transform].compute_inline()
    traverse_inline(s, outs[0].op, _callback)
    return s