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PiperOrigin-RevId: 173414999

Add option for when there is only one label for classification, for speed. (The case for the standard datasets).

PiperOrigin-RevId: 172774825

PiperOrigin-RevId: 172665358

memory and fixes the OOM errors.

PiperOrigin-RevId: 172374935

Change logit and activation shapes to follow standard convention with batch size in the first dimension.

PiperOrigin-RevId: 172172495

PiperOrigin-RevId: 171498799

MNIST: Eager execution.

Add an example showing how to train the MNIST model with eager execution
enabled.

(This change requires changes to TensorFlow made after
the 1.6 release branch was cut, i.e., will require a build
from source or TensorFlow 1.7+)

* Refining preprocessing, part 1

* Refinements to preprocessing resulting from multi-GPU tests

* Reviving one-hot labels

* Reviving one-hot labels

* Fixing label shapes

* Adding random flip back in

* Reverting unnecessary linting of test file

* Respond to CR

* Respond to CR

* Respond to CR

Small polishing changes to DELF code.

Cosmetic changes to spectrogram_to_mel_matrix()

To simplify syncing this c ode back into Google.

Add sanity checks to mel computation.

Clamp the requested frequency range to [0, Nyquist].

PiperOrigin-RevId: 185469605

Update installation.md

Internal changes of object_detection 

185215255  by Zhichao Lu:

    Stop populating image/object/class/text field when generating COCO tf record.

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185213306  by Zhichao Lu:

    Use the params batch size and not the one from train_config in input_fn

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185209081  by Zhichao Lu:

    Handle the case when there are no ground-truth masks for an image.

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185195531  by Zhichao Lu:

    Remove unstack and stack operations on features from third_party/object_detection/model.py.

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185195017  by Zhichao Lu:

    Matrix multiplication based gather op implementation.

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185187744  by Zhichao Lu:

    Fix eval_util minor issue.

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185098733  by Zhichao Lu:

    Internal change

185076656  by Zhichao Lu:

    Increment the amount of boxes for coco17.

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185074199  by Zhichao Lu:

    Add config for SSD Resnet50 v1 with FPN.

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185060199  by Zhichao Lu:

    Fix a bug in clear_detections.
    This method set detection_keys to an empty dictionary instead of an empty set. I've refactored so that this ...

Explicitly specify checkpoint version.

Fix simple errors in synthetic examples in lfads.

change to lfads to allow training of encoder weights only

TF Saver now requires specifying the checkpoint version even when restoring to avoid errors when we specify
a path to a checkpoint file instead of a directory.

change to lfads to allow training of encoder weights only

Update generate_cifar10_tfrecords.py

The change you added did not work with python2, it does not have encoding in .log.  This fixes it. feel free to test on Python3.  I tested python2 and I am really sue this works fine for python3.  Good catch.  sorry for not having it fixed earlier.

Allow users to pass in num_classes to ResNet

Fix mnist_tpu.py which was giving unknown shape errors