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This reverts commit 649e0374.

* Update resnet README with new checkpoints and SavedModels

* add more detail on channels_first vs channels_last

* fix typo

* add disclaimer about checkpoints

* set strip_default_attrs=True for SavedModel exports

* specify dtype in resnet export

* another dtype fix

* fix another dtype issue, and set --image_bytes_as_serving_input to default to False

with serving signature that accepts JPEG image bytes instead
of a fixed size [HxWxC] image tensor.

Passing JPEG image bytes is easier for inference/serving use
cases. The model internally resizes/crops the JPEG image to
required [HxWxC] tensor before passing it on for actual model
inference.

This change aligns with Cloud TPU/ResNet-50 model that offers a
similar interface (jpeg bytes) for inferencing here:

https://github.com/tensorflow/tpu/tree/master/models/official/resnet

NOTE: This flag is set to `True` by default for ImageNet, and is
disallowed for CIFAR (as it does not apply to CIFAR).

* Make ResNet robust to the case that epochs_between_evals does not divide train_epochs, and add an --eval_only option

* add some comments to make the control flow easier to follow

* address PR comments