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Added use_keras_upsampling_2d flags to use keras upsampling layer instead of optimized custom spatial_transform_ops.

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* factor make_divisible function and move round_filters to nn_layers

* modify SqueezeExcitation to add two additional parameter: divisible_by and gating_activation

* modify the InvertedBottleneckBlock to include 1. use_depthwise, 2. use_residual, 3. regularize_depthwise additional boolean flag; Add control for depthwise activation and regularizer; remove expand_ratio from SqueezeExcitation

* add Conv2DBNBlock definition

* add mobilenet v2, v3 implementation

* add mobilenet v1

* put mobilenet_base into class body

* fix a type hint error

* the invertedbottlenetblock is different for mobilenet and efficientnet. Made necessary changes to cope both.

* add target_backbone while call invertedbottleneckblock

* add relu6 and hard_sigmoid

* add test for mobilenet

* add mobilenet to factory

* fix some typo; link the reference to the architectures

* remove future import
Co-authored-by: Shixin Luo <luoshixin@google.com>

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