* update frameworkdocs

* revise docs with new MXNet bridge code instructions

* revise docs with new MXNet bridge code instructions

* - Added DEX support for MaxPoolBackprop op for CPU backend

* Added DEX execution support for AvgPoolBackprop

* compiles but does not link

* dex max_pool_with_indices

* maxpoolwithindices (#1300)

* lrn init

* fix comment

* mkldnn lrn (#1295)

* add serializer + fix compiler warnings

* Fix the first_iteration flag so it works when more than one call-frame exists

Static variables defined in lambda expressions are not private to a lambda so
move this to the runtime context

* Shave off a few microseconds by initializing intermediates exactly once

* Make all execution paths use first_iteration in the runtime context

* [Py] Add __repr__ to Strides and CoordDiff

* Apply clang-format

* Repr fix

* Apply clang-format

* [Py] Add convolution_backprop_data to API

* Conv fix

* Updated softmax.

* Formatting.

* Updated convolution.

* Use build_primitive overloading. Add helper to emit type_string given a node.

* Formatting.

* Update ConvolutionBackpropData.

* convolution backprop & max pool memory primitive cacheing (#1303)

* Updated ConvolutionBackpropFilters.
* Update MaxPool.

* Update Max and Min. (#1307)

* move add,mult,min,max,sqrt to elementwise_op, increase op per threads

* Implement trigonometric ops for direct execution.

* Rename files.

* build on suse w/gcc 4.8.5

* fix SUSE build error

* add comments

* remove template function

* update per review comment

* fix nan check emitted code

* updated

* type prop

* disable test in manifest

* try to exclude

* style

* double

* dobule

* more

* style

* more

* vecs

* fix goe

* Work around some buggy (and deprecated) rpath directives

* Add missing newline

* Revert "Add missing newline"

This reverts commit 95aebb7f14850afcd59c53ece0bb4663b8c38660.

* Encoding fixes

* hacking to support dot of 3 by 2 inputs with gemm_batch.

* clean up.

* testing inplace reshape.

* fixed a compile error.

* added comments on todo.

* check for output.

* check for annotation.

* more optimizations WIP.

* sum simd.

* moved parallel for

* testing sum vectorization.

* fixed merge errors.

* sum wip.

* more logic.

* sum refactor and clean up.

* clean up.

* removed unrelated changes.

* removed related changes from merge.

* fixed clang compile errors.

* move to cuda_emiiter

* fix bug, clang format

* size_t to uint32_t

* reverse_axes

* add rank back, clang format

* remove unused code and file

* remove unused code and file

* manually merge with master

* IntelGPU backend: Power, Sigmoid and ReluBackprop operations

* style changed to ReluBackprop

* Update intelgpu_backend.cpp

* rank3xrank2 cpu_emitter version 1

* refactoring matmulbias

* add comment

* IntelGPU backend: Dot operation (partially implemented)

* PR1275. Debug output deleted.

* PR1275. Comments addressed

* Broadcast and Pad bug fix.

* Added NO_THROW version of the cuda error checking defines. Now utilizing these in dtors.

This reverts commit 68d9d6eafb1475c83c47229ab3c784c3d392ddbd.

* Revert "Broadcast and Pad bug fix."

This reverts commit 099c79792a2e7b9b8727b48de90f623953691f4c.

* Update Dockerfile

took out make -j 8 as we are running out of virtual memory.
added df -k for getting the disk space info in logs.

* Update .travis.yml

As we bring up 3 containers here i am reducing to 2 and trying to see if this is deployed on different  machines then should not matter.

* Update .travis.yml

3 in parallel should pass also 2 of then are passing so trying this out

* IntelGPU backend: Pad operation

* PR1267. Comments addressed

* Add TBB flow graphs to DEX.

* Make edges from dummy start node to head nodes when traversing nodes.

* Use static_cast to cast TBB graph node.
Undefine __TBB_PREVIEW_LIGHTWEIGHT_POLICY.

* Code formatting.

* Remove clang wreserved-id-macro warning.

* Add NGRAPH_INTRA_OP_PARALLELISM to control size of thread pools.

* Initialize variable.

* Update input_validation.py

* Update runtime.py

* Update types.py

* Update broadcasting.py

* optimize concat

* compile sucess

* multi inputs

* clang format

* Testing out some ideas for better error messages on AvgPool

* Add uncaught_exception() check to ConstructionAssertLogger dtor

* More general assertion class, not homed inside Node

* Minor formatting change

* NODE_ASSERT for type prop failure

* Produce lighter-weight DummyAssertionHandler when assertion succeeds

* New ctor for AssertionHelper that takes a single location arg; more const&-ness for the constructors

* Remove move constructor for AssertionHelper; fix broken test in assertion.cpp

* Miscellaneous improvements

* Templatized AssertionHelper so different exception classes can be used; implemented TYPE_CHECK_ASSERT around this
* Changed from a "stack" of locations to a single location (the stack was too complicated)
* Added "FAIL" classes/macros which do not take a condition

* Rename a helper function

* Cleanup, cruft removal

* Add test to make sure the assert helper has the lifetime we expect

* Missing includes