def METHOD_NAME():
    bias_var = relay.var("bias", shape=(3,), dtype="float32")
    bias_scale = tvm.nd.array(np.array([0.5, 0.6, 0.7]))
    output = quantize_conv_bias_mkldnn_from_var(bias_var, bias_scale)
    assert isinstance(output, tvm.relay.expr.Call)
    attrs = output.attrs
    assert attrs.axis == 0
    assert attrs.out_dtype == "int32"
    assert output.op.name == "qnn.quantize"
    assert output.args[1].data == bias_scale