Update TRAVIS config: tests splitted

Fix issue in local_subtensor_incsubtensor

This fixes an intermittent failure with non-default seed

Adding __props__ to all the Ops that has __init__

Grammar fix

theano/tensor tests splitted aroung theano/tensor/nnet

Fix the optim to replace the gradient of log softmax (true_div problem)

noticed that max_and_argmax fails, test + fix

Port opt from the old backend.

AWS Marketplace AMI install doc section

Correction added based on travis validator at http://lint.travis-ci.org/ .

Added the installation of nose-exclude plugin for nosetests.
This plugin should allow us to exclude folders with `nosetests --exclude-dir=path/to/directory`
Tests rewritten to use nose-exclude and to fix some nosetests syntax about file exclusion.

This is my proposal for GpuMaxAndArgmax (issue #1399).

theano/tensor tests are splitted into:
- all theano/tensor tests excluding test_basic
- just test_basic

`mode=FAST_COMPILE` tests are splitted into:
- all tests excluding theano/tensor tests
- just theano/tensor tests

@nouiz

Pci bus ID now printed for GPU cards

The replacement was not correct when there were explicitly broadcastable
dimensions, or if the dtype changed.

to get PCI Bus ID.

PCI Bus ID ( see issue #5176:
https://github.com/Theano/Theano/issues/5176 ).

Tested both in Python 2 and Python 3.

Works currently with CUDA, not with OpenCL
( see libgpuarray pull request #283:
https://github.com/Theano/libgpuarray/pull/283 ).

Removed comment about Boost because does not come with this AMI.

Added small section on AWS Marketplace AMI for Theano by Bitfusion. This was okayed by nouiz a couple months ago in the google group: https://groups.google.com/forum/#!searchin/theano-users/AMI%7Csort:relevance/theano-users/bZczMYoqdFU/gXEdvohhBAAJ

(error message, profile output message, and comment).

add doc version switcher to top of sidebar

Make corrMM work in float16/64

correction of casting from new MaxAndArgmax
to new Argmax.

Ensure code works both on Python 2 and Python 3.
test_reduction rewritten.

CPU op MaxAndArgmax rewritten so that it now takes the axes
as a parameter op. Same update for GPU op GpuMaxAndArgmax.

max_and_argmax wrapper rewritten to fully check the axis before
passing it to MaxAndArgmax.

Some other files have also been updated to ensure that the
optimization which replace CPU op by GPU op works well and
that all tests involving MaxAndArgmax still work well after
the updates.

GPU op rewritten to handle the last libgpuarray update.

test_reduction rewritten. It now tests also 0-d arrays (scalars).

I have run the following tests with success. The new
update of libgpuarray has been downloaded, compiled
and fully installed before running these tests.

nosetests -v theano/gpuarray/tests/test_opt.py
    # There is 1 fail here, but not related to MaxAndArgmax:
    # ERROR: theano.gpuarray.tests.test_opt.test_local_lift_abstractconv_gpu_shape
    # RuntimeError: cuDNN is required for convolution and pooling
nosetests -v theano/tensor/nnet/tests/test_nnet.py
nosetests -v theano/tensor/tests/test_opt_uncanonicalize.py
nosetests -v theano/tensor/tests/test_basic.py
THEANO_FLAGS=floatX=float32,profile=True,profiling.n_ops=1000,profiling.n_apply=1000,profiling.ignore_first_call=True,profiling.destination=profiling.log nosetests --nocapture --verbose theano/gpuarray/tests/test_reduction.py

Prevent Flake8!

Tests have been rewritten, and they run so that
a CPU computation and a GPU computation are always
performed (separately) on the same input.

This allow to run the tests with Theano profiling
flags and then compare the execution time of
MaxAndArgmax (CPU) and GpuMaxAndArgmax (GPU).

Some code has also been modified in theano/tensor/basic.py,
related to MaxAndArgmax, to make the API more uniform
and to put most of axis checking in maxandargmax wrapper
instead of in make_node functions of (Gpu)MaxAndArgmax.

GpuMaxAndArgmax op is implemented in a separate file
in theano/gpuarray.

A test script has also been written.

To integrate this op in Theano, an optimization has been
added to ttheano/gpuarray/opt.py.