A temporary fix for issue #36 (#48)

* A temporary fix for issue 36

The thinning code assumes that the sgraph it is using
is not data-parallel, because it (currently) accesses the
layer-name keys using a "normalized" name ("module." is removed).

The bug is that in thinning.py#L73 we create a data_parallel=True
model; and then give it to sgraph.
But in other places thinning code uses "normalized" keys.  For
example in thinning.py#L264.

The temporary fix configures data_parallel=False in thinning.py#L73.

A long term solution should have SummaryGraph know how to handle
both parallel and not-parallel models.  This can be done by having
SummaryGraph convert layer-names it receives in the API to
data_parallel=False using normalize_layer_name.  When returning
results, use the de-normalized format.

* Fix the documentation error from issue 36
* Move some logs to debug and show in logging.conf how to enable DEBUG logs.