Tile and interleave scale and bias with int4 weights

For MLIR, the output should look something like this:

p = migraphx.program()
m = p.get_main_module()
x_1 = m.add_parameter("x1", migraphx.shape(type="half_type", lens=[384, 32, 32, 2]))
x_2 = m.add_literal(migraphx.generate_argument(migraphx.shape(type="uint8_type", lens=[12288, 2048]), 2))
p_x4 = m.add_parameter("x4", migraphx.shape(type="half_type", lens=[1, 1, 4096]))
x_1_transposed = m.add_instruction(migraphx.op("transpose", permutation=[0,2,1,3]), [x_1])
x_1_new = m.add_instruction(migraphx.op("reshape", dims=[12288,32,2]), [x_1_transposed])
x_4 = m.add_instruction(migraphx.op("unpack_int4", axis=1), [x_2]) # migraphx.shape(type="uint8_type", lens=[12288, 4096])
x_6 = m.add_instruction(migraphx.op("unsqueeze", axes=[2]), [x_1_new]) # migraphx.shape(type="half_type", lens=[12288, 32, 1, 1, 1, 1, 1])
x_7 = m.add_instruction(migraphx.op("multibroadcast", out_lens=[12288,32,128,2]), [x_6]) # migraphx.shape(type="half_type", lens=[12288, 32, 1, 1, 1, 1, 128], strides=[32, 1, 1, 1, 1, 1, 0])
x_8 = m.add_instruction(migraphx.op("reshape", dims=[12288,4096,2]), [x_7]) # migraphx.shape(type="half_type", lens=[12288, 4096])
scale = m.add_instruction(migraphx.op("slice", axes=[2], starts=[0], ends=[1]), [x_8])
bias = m.add_instruction(migraphx.op("slice", axes=[2], starts=[1], ends=[2]), [x_8])
scale_squeeze = m.add_instruction(migraphx.op("squeeze", axes=2), [scale])
bias_squeeze = m.add_instruction(migraphx.op("squeeze", axes=2), [bias])
x_12 = m.add_instruction(migraphx.op("dequantizelinear"), [x_4, scale_squeeze, bias_squeeze]) # migraphx.shape(type="half_type", lens=[12288, 4096])
x_13 = m.add_instruction(migraphx.op("unsqueeze", axes=[0]), [x_12]) # migraphx.shape(type="half_type", lens=[1, 12288, 4096])
x_14 = m.add_instruction(migraphx.op("transpose", permutation=[0,2,1]), [x_13]) # migraphx.shape(type="half_type", lens=[1, 4096, 12288], strides=[50331648, 1, 4096])
x_15 = m.add_instruction(migraphx.op("dot"), [p_x4, x_14]) # migraphx.shape(type="half_type", lens=[1, 1, 12288])
m.add_return([x_15])