GitLab

Changed the example to the VGG-16 net

fixes b/28821889

When importing tensorflow before scipi.ndimage and running the
example in a docker container, the following error is given:

```
 % python example.py
Traceback (most recent call last):
  File "example.py", line 25, in <module>
    im = im / 255.
TypeError: unsupported operand type(s) for /: 'instance' and 'float'
```
This only happens for 'cat.jpg'. When converting the image to a '.png'
file, the example runs as expected.

When swapping the imports around so that scipy.ndimage is imported
BEFORE tensorflow, both 'jpg' and 'png' files work.

Add a tool to convert Glove co-occurrence matrices into Swivel shards. (Roundabout way to address issue #127). (#151)

The file contents were taken from:

https://github.com/github/gitignore/blob/master/Python.gitignore

* Changed the examples to specify the output size instead of the downsample_factor.

This is required by PR #57

* Address flake8 errors.

* Update readme and parameter descriptions.

Asking which model this issue is about

* Updating TF submodule to latest and adding a Dockerfile example.

* Extra \n in ./configure.

* Updating Dockerfile to use bazel 0.2.2b.

* Replacing a mention of treebank_union with PMP in the README.

* doc: Add instructions on installing numpy

* fix typo

fix "we processes" typo

fix typo

Typos

* Modified the way the output size is specified.
* Added support for batches of inputs.

Tentative fix for issue #47

* improve image processing performance for Inception.

Implements a distributed trainer for Inception.

Updated to the latest version of TF-Slim

Update ops.py

Make sure range create a list, otherwise this won't create a list in Python 3.

Add collections_test

update inception slim.

Fix issue in neural_gpu.py where TypeError is raised.

* `python neural_gpu_trainer.py --task=rev` raises the following TypeError:

  File “..models/neural_gpu/neural_gpu.py", line 26, in conv_linear
    assert args
  File “..tensorflow/python/framework/ops.py", line 475, in __nonzero__
    raise TypeError("Using a `tf.Tensor` as a Python `bool` is not allowed. "
TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed. Use `if t is not None:` instead of `if t:` to test if a tensor is defined, and use the logical TensorFlow ops to test the value of a tensor.