layer is not supported for Quantization aware training

System information

• TensorFlow version (you are using): tensorflow-2.3.0
• Are you willing to contribute it (Yes/No):No

RuntimeError: Layer tf_op_layer_ResizeNearestNeighbor:<class 'tensorflow.python.keras.engine.base_layer.TensorFlowOpLayer'> is not supported. You can quantize this layer by passing a tfmot.quantization.keras.QuantizeConfig instance to the quantize_annotate_layer API.
RuntimeError: Layer up_sampling2d:<class 'tensorflow.python.keras.layers.convolutional.UpSampling2D'> is not supported. You can quantize this layer by passing a tfmot.quantization.keras.QuantizeConfig instance to the quantize_annotate_layer API.

RuntimeError: Layer conv2d_transpose:<class 'tensorflow.python.keras.layers.convolutional.Conv2DTranspose'> is not supported. You can quantize this layer by passing a tfmot.quantization.keras.QuantizeConfig instance to the quantize_annotate_layer API.

May i ask what's the plan for the support of tf_op_layer_ResizeNearestNeighbor、UpSampling2D and Conv2DTranspose?

Start at the tfmot.quantization.keras.quantize_annotate_layer API and examine how ResizeNearestNeighbor, UpSampling2D, and Conv2DTranspose are handled. Define the support scope and verify that quantization-aware training accepts the requested layers without the reported RuntimeError.