Some refactoring of the low-level pruning API

Added distiller/norms.py - for calculating norms of various sub-tensors.

ranked_structures_pruner.py:
-Removed l1_magnitude, l2_magnitude. Use instead distiller.norms.l1_norm
-Lots of refactoring
-replaced LpRankedStructureParameterPruner.ch_binary_map_to_mask with
distiller.thresholding.expand_binary_map
-FMReconstructionChannelPruner.rank_and_prune_channels used L2-norm
by default and now uses L1-norm (i.e.magnitude_fn=l2_magnitude was
replaced with magnitude_fn=distiller.norms.l1_norm)

thresholding.py:
-Delegated lots of the work to the new norms.py.
-Removed support for 4D (entire convolution layers) since that has not been
maintained for a longtime. This may break some old scripts that remove entire
layers.
-added expand_binary_map() explicitly so others can use it. Might need to
move to a different file
-removed threshold_policy()

utils.py:
-use distiller.norms.xxx for sparsity stats