subtract_channel_mean for object detection doesn't work

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System information

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• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04
• TensorFlow installed from (source or binary): conda
• TensorFlow version (use command below): 1.14
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Describe the problem

Describe the problem clearly here. Be sure to convey here why it's a bug in TensorFlow or a feature request.
try to subtract from mean using train config in object detection api
data_augmentation_options {
subtract_channel_mean {
means : [ 109.8 , 109.8 , 109.8 ]

}

}

but having this error
ValueError: Argument must be a dense tensor: [[[109.80000305175781, 109.80000305175781, 109.80000305175781]]] - got shape [1, 1, 3], but wanted [1, 1].

I think it is a bug. Thanks.

Source code / logs

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