def METHOD_NAME(op):
    if "spatial_conv2d_transpose_output" in op.tag:
        output = op.output(0)
        conv = op.input_tensors[0]
        data_vec = conv.op.input_tensors[0]
        data_pad = data_vec.op.input_tensors[0]
        dilated_input = data_pad.op.input_tensors[0]
        s[data_pad].compute_inline()
        s[dilated_input].compute_inline()
        kernel_vec = conv.op.input_tensors[1]
        if kernel_vec.op.name == "kernel_vec":
            kernel = kernel_vec.op.input_tensors[0]
        else:
            kernel = kernel_vec
        if isinstance(kernel.op, tvm.te.ComputeOp) and "dilate" in kernel.op.tag:
            s[kernel].compute_inline()
        schedule_conv2d_spatial_pack_nchw(cfg, s, data_vec, kernel_vec, conv, output, outs[0])