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- 2 CPUs -> 2 GPUs
- is_cpu_ps=True

Removed an error-causing parameter

modified the last line in download_and_convert_data.py scripts

Update Readme Install Instructions

Change split name in slim's export_inference_graph

Spatial attention for the Attention OCR model.

Update slim/nets.

removing memory intensive session.graph from FileWriter call

Add CODEOWNERS to auto-assign PRs

Extracted from first commit for each directory. Should be a reasonably good proxy.

Add back six dependency and change pbtxt files to reflect new way of …

- Set spatial squeeze to true for resnets
- Make activations configurable for resnets
- Make batch norm configurable for resnets
- Fix some bad comment wrapping in vgg.py.

Replace in-memory DastaSet with FixedLengthRecordDataSet

In-memory DataSet initiated without feed_dict are saved in TF graph def,
causing exported graph.pbtxt over-bloated.
Change to FixedLengthRecordDataSet and does a few refactorization.

* We do this because we want rules outside of slim to be able to depend on it in order to pull in slim models.

Add back six dependency and change pbtxt files to reflect new way of using own data to train object recognition models

Fixing small typo in CONTRIBUTING.md

Add slim/scripts/finetune_inception_resnet_v2_on_flowers.sh

Make object_detection dictionaries compatible with Python3

Also fixes some typos in other scripts.

Update directories in running_pets.md

Correct documentation so all commands should be run from the root
of the git directory.

Update directories in running_pets.md

Also clarifies usage on label maps. In a nutshell, label map IDs
should start at index 1 (and not include 0).

Fix reversions plus a few improvements

Implementation of PCL and other newly proposed algorithms

* Change dictionnaries iteritems() to items()

CIFAR-10 Estimator-based example for multi-device training