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* Merged commit includes the following changes:
311933687  by Sergio Guadarrama:

    Removes spurios use of tf.compat.v2, which results in spurious tf.compat.v1.compat.v2. Adds basic test to nasnet_utils.
    Replaces all remaining import tensorflow as tf with import tensorflow.compat.v1 as tf

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311766063  by Sergio Guadarrama:

    Removes explicit tf.compat.v1 in all call sites (we already import tf.compat.v1, so this code was  doing tf.compat.v1.compat.v1). The existing code worked in latest version of tensorflow, 2.2, (and 1.15) but not in 1.14 or in 2.0.0a, this CL fixes it.

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311624958  by Sergio Guadarrama:

    Updates README that doesn't render properly in github documentation

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310980959  by Sergio Guadarrama:

    Moves research_models/slim off tf.contrib.slim/layers/framework to tf_slim

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310263156  by Sergio Guadarrama:

    Adds model breakdown for MobilenetV3

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308640...

Internal cleanup (py2->py3) plus the following changes:

285513318  by Sergio Guadarrama:

    Adds a script for post-training quantization

284222305  by Sergio Guadarrama:

    Modified squeeze-excite operation to accommodate tensors of undefined (Nonetype) H/W.

282028343  by Sergio Guadarrama:

    Add MobilenetV3 and MobilenetEdgeTPU to the slim/nets_factory.

PiperOrigin-RevId: 289455329
Co-authored-by: Sergio Guadarrama <sguada@gmail.com>

279978375  by Sergio Guadarrama:

    Pass s=2 to the expanded_conv block so it can apply residual correctly in case of fused convolutions.  (Before it was relying on channel mismatch only)

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279788358  by Sergio Guadarrama:

    Update README to add mobilenet-edgetpu details

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279774392  by Sergio Guadarrama:

    Adds MobilenetV3-EdgeTpu definition.

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278917344  by Sergio Guadarrama:

    Create visualwakewords dataset using slim scripts instead of custom scripts.

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277940048  by Sergio Guadarrama:

    Internal changes to tf.contrib symbols

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PiperOrigin-RevId: 279978375

275538818  by Sergio Guadarrama:

    Support grayscale input images in Slim model training

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275355841  by Sergio Guadarrama:

    Fixed cases where tf.TensorShape was constructed with float dimensions

    This is a prerequisite for making TensorShape and Dimension more strict
    about the types of their arguments.

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275131829  by Sergio Guadarrama:

    updates mobilenet/README.md to be github compatible adds V2+ reference to mobilenet_v1.md file and fixes invalid markdown

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PiperOrigin-RevId: 275538818

228203246  by Sergio Guadarrama:

    Add a write text graphdef option.

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226110161  by Sergio Guadarrama:

    Add license to i3d/s3dg and tests.

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226074013  by Sergio Guadarrama:

    Network definitions for I3D and S3D-G.

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224394404  by Sergio Guadarrama:

    Add video model option for exported inference graphs.

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224220779  by Sergio Guadarrama:

    Internal change

223589268  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 228203246

* PiperOrigin-RevId: 201234832

* PiperOrigin-RevId: 202507333

* PiperOrigin-RevId: 204320344

* Add PNASNet-5 mobile network model and cell structure.

PiperOrigin-RevId: 204735410

* Add option to customize individual projection layer activation.

PiperOrigin-RevId: 204776951

* Internal change.

PiperOrigin-RevId: 187042423

* Internal change.

PiperOrigin-RevId: 187072380

* Opensource float and eight-bit fixed-point mobilenet_v1 training and eval scripts.

PiperOrigin-RevId: 187106140

* Initial check-in for Mobilenet V2

PiperOrigin-RevId: 187213595

* Allow configuring batch normalization decay and epsilon in MobileNet v1

PiperOrigin-RevId: 187425294

* Allow overriding NASNet model HParams.

This is a change to the API that will allow users to pass in their own configs
to the building functions, which should make these APIs much more customizable
for end-user cases.

This change removes the use_aux_head argument from the model construction
functions, which is no longer necessary given that the use_aux_head option is
configurable in the model config. For example, for the mobile ImageNet model,
the auxiliary head can be disabled using:

config = nasnet.mobile_imagenet_config()
config.set_hparam('use_aux_head', 0)
logits, endpoints = nasnet.build_nasnet_mobile(
    inputs, num_classes, config=config)
PiperOrigin-RevId: 188617685

* Automated g4 rollback of changelist 188617685

PiperOrigin-RevId: 188619139

* Removes spurious comment

Includes new gan nets.

Inclues new NasNet models.

PiperOrigin-RevId: 173772097

* MobileNet V1 commit

* updates to README

* Fixed model_deploy to correctly assign weights to variables_device

* Adding test for network_fn's arg_scope

* Style fix (double blank line)

* Add WORKSPACE file to models/slim so that imports work properly