* Adapt Tensor class to have partial shapes

* Add PartialShapes to Input, Output, Function, Node classes

* Terminological cleanup

* Add PartialShape propagation for Parameter and Result

* Implement partial-shape propagation for elementwise ops

* More comments

* One more comment tweak

* Add tests for the merge functions

* Add merging of undetermined element types

* Fix a goophup in deserializer implementation

* Implement fallback for ops that do not support partial shape/type validation

* Updates for some older unit tests, now that operator[] exists

* Add missing validate_punt_if_incomplete to AllReduce

* Implement partial shape/type propagation for AllReduce

* Implement partial shape/type propagation for Reshape

* Remove unneeded validate_punt from Result

* Implement partial shape/type propagation for Reverse

* Implement partial shape/type validation for ReverseSequence

* Implement partial shape/type validation for ArithmeticReduction

* Better docstrings for the stuff introduced in #1692; remove prototype for unimplemented, unused PartialShape::append()

* One more docstring thing I forgot to save

* Switch terminology from 'determined/undetermined' to 'static/dynamic'

* Switch terminology from 'complete/incomplete' to 'static/dynamic' for shapes; fix up some mushily worded comments

* Fix overzealous edits from the last commit

* Rename one test that escaped the Great Renaming

* Remove unnecessary validate_punt_if_dynamic from Reshape

* Fix comment typo

* Rewrite operator+ and operator* for Dimension as members, not friends

* Formatting tweak

* Show argument types/shapes in long NodeDescription; tank unit tests to block merge

* Fix dynamic element type propagation for elementwise ops, add some unit tests for same

* Fix error message

* Roll 'Not' back to existing behavior (non-boolean input types allowed)

* Add a TODO tag to a todo item

* Add unit tests for partial shape/type propagation with ReverseSequence

* Add unit tests for partial-shape/type propagation for ArithmeticReduction (via Sum)

* Implement partial shape/type validation for Broadcast; implement unit tests for same

* Remove inapplicable TODO

* Implement partial type/shape propagation for GetOutputElement

* Function signatures

* Add implementations, unit tests for relaxes/refines functions

* Generalize project/reduce/inject functions to cover PartialShape, move to shape_util.[ch]pp

* Deal with std::find_if #include issues

* Fix more include madness

* Adapt Tensor class to have partial shapes

* Add PartialShapes to Input, Output, Function, Node classes

* Terminological cleanup

* Add PartialShape propagation for Parameter and Result

* Implement partial-shape propagation for elementwise ops

* More comments

* One more comment tweak

* Add tests for the merge functions

* Add merging of undetermined element types

* Fix a goophup in deserializer implementation

* Implement fallback for ops that do not support partial shape/type validation

* Updates for some older unit tests, now that operator[] exists

* Add missing validate_punt_if_incomplete to AllReduce

* Implement partial shape/type propagation for AllReduce

* Implement partial shape/type propagation for Reshape

* Remove unneeded validate_punt from Result

* Implement partial shape/type propagation for Reverse

* Implement partial shape/type validation for ReverseSequence

* Implement partial shape/type validation for ArithmeticReduction

* Better docstrings for the stuff introduced in #1692; remove prototype for unimplemented, unused PartialShape::append()

* One more docstring thing I forgot to save

* Switch terminology from 'determined/undetermined' to 'static/dynamic'

* Switch terminology from 'complete/incomplete' to 'static/dynamic' for shapes; fix up some mushily worded comments

* Fix overzealous edits from the last commit

* Rename one test that escaped the Great Renaming

* Remove unnecessary validate_punt_if_dynamic from Reshape

* Fix comment typo

* Rewrite operator+ and operator* for Dimension as members, not friends

* Formatting tweak

* Show argument types/shapes in long NodeDescription; tank unit tests to block merge

* Fix dynamic element type propagation for elementwise ops, add some unit tests for same

* Fix error message

* Roll 'Not' back to existing behavior (non-boolean input types allowed)

* Add a TODO tag to a todo item

* Add unit tests for partial shape/type propagation with ReverseSequence

* Add unit tests for partial-shape/type propagation for ArithmeticReduction (via Sum)

* Implement partial shape/type validation for concat

* Fix for a corner case in concat propagation of dynamic shapes; unit tests for concat propagation of dynamic shapes

* Implement partial type/shape propagation for GetOutputElement

* Function signatures

* Add implementations, unit tests for relaxes/refines functions

* Generalize project/reduce/inject functions to cover PartialShape, move to shape_util.[ch]pp

* Deal with std::find_if #include issues

* Fix more include madness

* Remove validate-punt-if-dynamic test because it uses Concat

* Adapt Tensor class to have partial shapes

* Add PartialShapes to Input, Output, Function, Node classes

* Terminological cleanup

* Add PartialShape propagation for Parameter and Result

* Implement partial-shape propagation for elementwise ops

* More comments

* One more comment tweak

* Add tests for the merge functions

* Add merging of undetermined element types

* Fix a goophup in deserializer implementation

* Implement fallback for ops that do not support partial shape/type validation

* Updates for some older unit tests, now that operator[] exists

* Add missing validate_punt_if_incomplete to AllReduce

* Implement partial shape/type propagation for AllReduce

* Implement partial shape/type propagation for Reshape

* Remove unneeded validate_punt from Result

* Implement partial shape/type propagation for Reverse

* Implement partial shape/type validation for ReverseSequence

* Implement partial shape/type validation for ArithmeticReduction

* Better docstrings for the stuff introduced in #1692; remove prototype for unimplemented, unused PartialShape::append()

* One more docstring thing I forgot to save

* Switch terminology from 'determined/undetermined' to 'static/dynamic'

* Switch terminology from 'complete/incomplete' to 'static/dynamic' for shapes; fix up some mushily worded comments

* Fix overzealous edits from the last commit

* Rename one test that escaped the Great Renaming

* Remove unnecessary validate_punt_if_dynamic from Reshape

* Fix comment typo

* Rewrite operator+ and operator* for Dimension as members, not friends

* Formatting tweak

* Show argument types/shapes in long NodeDescription; tank unit tests to block merge

* Fix dynamic element type propagation for elementwise ops, add some unit tests for same

* Fix error message

* Roll 'Not' back to existing behavior (non-boolean input types allowed)

* Add a TODO tag to a todo item

* Add unit tests for partial shape/type propagation with ReverseSequence

* Add unit tests for partial-shape/type propagation for ArithmeticReduction (via Sum)

* Implement partial shape/type validation for Pad; add unit tests for same

* Implement partial type/shape propagation for GetOutputElement

* Function signatures

* Add implementations, unit tests for relaxes/refines functions

* Generalize project/reduce/inject functions to cover PartialShape, move to shape_util.[ch]pp

* Deal with std::find_if #include issues

* Fix more include madness

* Formatting

* remove unused setting

* cleanup

* cleanup

* cleanup

* more cleanup

Partial Shapes and Types, Part 4a: Implement partial shape/type validation for some existing ops (#1756)

* Adapt Tensor class to have partial shapes

* Add PartialShapes to Input, Output, Function, Node classes

* Terminological cleanup

* Add PartialShape propagation for Parameter and Result

* Implement partial-shape propagation for elementwise ops

* More comments

* One more comment tweak

* Add tests for the merge functions

* Add merging of undetermined element types

* Fix a goophup in deserializer implementation

* Implement fallback for ops that do not support partial shape/type validation

* Updates for some older unit tests, now that operator[] exists

* Add missing validate_punt_if_incomplete to AllReduce

* Better docstrings for the stuff introduced in #1692; remove prototype for unimplemented, unused PartialShape::append()

* One more docstring thing I forgot to save

* Switch terminology from 'determined/undetermined' to 'static/dynamic'

* Switch terminology from 'complete/incomplete' to 'static/dynamic' for shapes; fix up some mushily worded comments

* Fix overzealous edits from the last commit

* Rename one test that escaped the Great Renaming

* Remove unnecessary validate_punt_if_dynamic from Reshape

* Show argument types/shapes in long NodeDescription; tank unit tests to block merge

* Fix dynamic element type propagation for elementwise ops, add some unit tests for same

* Roll 'Not' back to existing behavior (non-boolean input types allowed)

* Add a TODO tag to a todo item

* Constant folding with Quantize

* updated with review comments

* WIP

* More WIP

* More chiseling

* Move conv validation utils to a separate file; update unit tests

* Fix invalid attributes in pattern containing ConvolutionBackpropFilters

* Remove zero_const_conv test (it's no longer possible to construct the graph being tested)

* Rename infer_convolution_output_item_shape to infer_windowed_reduction_output_shape and add a boolean flag to control whether window-all-in-padding is allowed

* Add generalized function for inferring pooling fprop, use it in AvgPool/AvgPoolBackprop

* Update MaxPool to use new utility functions

* Fix comment

* Remove faulty and redundant check for window shape relative to pre-padding data shape

* Revert change to pattern construction in cpu_fusion

* Update unit test for maxpool

* Restore unjustly eliminated tests; move some computation to ptrdiff_t for safety; fix wording on some error messages

* Formatting

* reset buffer size, use original input size for memcpy

* resolve comment and add test

* update comment

* Add type_prop unit tests for Quantize

* Fix naming consistency; add test for unsupported RoundMode fail

* Add type-prop unit tests for Dequantize

* Switch to scale and offset design from min and max for Quantization

* Remove offset and make the quantize ops a single o/p op

* move cpu QuantOps to core and create builders

* rebase to HEAD

* remove convbias and convbiasrelu ctors which take conv

* remove mistakenly added quantize.rst

* remove offset

* Compute scale, move quantization ops to experimental dir and some PR feedback

* Normalize license headers

* [ONNX] Assert all op types supported

* Apply clang-format

* Address code review comments

* Fix #include statements

* Update ONNX Squeeze Op implementation to conform with doc. Add unit test.

* Apply code-format.

* Correct attribute value type.

* Change used loop structure.

* Modified version of loops.

- Without erase and with minimal computation time complexity.

* Run CI

* Improved AvgPool unit test coverage. Fixed small bug that was revealed.

* Renamed disabled unit tests to reflect new names.

* Ran clang-format on backend_test.in.cpp to fix format.

* Renamed cpu_results->backend_results in two unit tests.

*  unary, binary folding

* fix divide wrong template args

* add tests

* fix merge breaks

* Why am I still needing to fix license headers?

* fix a few more in test

* return nullptr when workspace size is zero+modify insert method to accept const lvalue ref

* Unit test added

* move backend specific test files to test/backend directory

* remove unit_test_control

* move tests back to test root

* fix comment

* wip

* fix manifest

* update test to verify all header files are complete, meaning they include what they use.

* disable

* Project initialization commit

* Added unit tests for 3D tensors for argmax

* Refactored reduce to be used by argmax argmin. argmax argmin still has some issues. WIP

* [WIP]First working version of ArgMax ArgMin

* added reduce buffer for the cudnn api calls

* added reduce buffer for the cudnn api calls

* Further modifications. Using rvalues to pass enums to build reduce method

* more unit tests added

* Incorporate Fenglei's comments

* Incorporating Chris's first set of comments

* small change to test file

* Resolving clang issue that was causing argmin test to fail

* Incorporate Chris's  comments

* clang format issue

* updated unit tests

* remove debug comments

* reshape sinking working on mnist_conv

* forgot to add reshape_sinking files

* refactoring of binary case

* Quantize/Dequantize case, fix add case, add assert

* address bob and scott's feedback

* debug

* fix a bug where reshapes are removed too early

* Add pad with fill operator using the outward-in index pattern.

* Remove static pad and rename build_pad_dynamic -> build_pad. Update maxpool 1d padding.

* Formatting.

* Split build_pad_dynamic into build_pad and build_pad_fill.

* Add test coverage for fixed bug in op::Pad for gpu.

* Reshape optimizations for when unit-sized dimensions are added/removed from tensors

* Added unit tests for eliminating squeeze and expand_dims operations

* Bug fix to expand dims layout

* Style fix

* Check output shape when setting memory layout for slice op.

* Miscellaneous fusion and other optimizations for inception-resnetv2
- ConvBias Batchnorm folding
- ConvBias Affine folding
- Check if MKLDNN can slice a given layout and select layouts
  appropriately

* Fixed unit test and bug in conv bias pattern

* Addressed PR feedback

* Addressed PR feedback

* added constant folding for dequantize

* modified as per review comments

* Add op::Sigmoid to nvgpu.

* Bring rnn fusion and concat passes over into GPU from IA. This is a temporary move until generalization and gpu specification can occur.

* Add LSTM fusion and cudnn inference kernel. Next need recurrent fusion and layer fusion.

* Formatting

* Removed unecessary extra output from LSTM op (rnn with seq. length = 1, so y = hy).

* Add RNN fusion of LSTM cells within a recurrent layer.

* Formatting.

* Add fusion across RNN layers.

* Formatting.

* Add algebraic simplification.

* Added rnn fusion tests.

* Updated conditional on LSTM fusion to better distinguish bound nodes as ht vs xt.

* Formatting.

* Removed print statements.

* Formatting.

* Committing missing file.

* Remove concat inputs pass and mkldnn references.

* fix cmake paths

* conflict resolution with merge from master.

* remove explicit lstm op support. bare LSTM ops are converted to RNN ops for emission.

* Formatting.

* Use NGRAPH_ASSERT. Formatting of intel copyright.

* Add check on the feature size (shape) of the recurrent (hidden) input and cell state, to ensure they are the same size.

* fix wrong rnn header

* Formatting.

* Add back lstm op to dispatch table.

* Added RNN test which shows cudnn rnn kernel is not producing correct results.

* With update to AlgSimpl. to simplify concat-reshape-slice, the check modifed in this commit needed to be relaxed.

* Bug fix in parameter tensor packing.

* Alias third output element of RNN for cell state (bug fix).

* Resolve numerical correctness issue with negative values in RNN (bug fix).
Add minimal test to evaluate LSTM and compare with values calculated by hand.

* Add tensor parameter sizes to kernel hash as
they are kernel-specific.

* Add 2 layer lstm fusion test against by-hand solution.

* Export param concatenation to graph for cudnn kernel at both the single rnn layer and multi-layer.

* Formatting.

* Finishing touches after merge: add support for macro expansed dispatch via op_tbl.

* Simplify macro support for gpu ops.

* Add CUDNN_VERSION >= 7200 defguards for RNN fusion.
Need to decide how to notify user of increased performance with >= 7200.

* Revert lstm_analytic test to explicitly copy data to tensor params.

* Removed namespace arg from NGRAPH_GPU_OP.

* Refactored macros to different header so op_tbl only contains op list.

* Defguard on cudnn_descriptor<cudnnRNNDataDescriptor_t>.

* doubles -> floats

* Reorg. pass asserts, prepare to replace with non-throwing pass failures.

* Remove Lstm op and replace it with Rnn.

* Format

* Utilize RETURN_IF_FALSE in rnn pass to avoid any RT asserts.
Note that falling back to raw (no passes) graph for 2rnn_3lstm json from mxnet models
results in a double free inside of the memory layout pass. Appears to be a bug
in Reshape pass through.

* Removed print statements. Add check on input data and recurrent data.

* Don't reuse memory for non-destructive ops.

* Add back Rnn test.

* Formatting.

* Clean up comments.

* Update test per review comments.

* Adapt Tensor class to have partial shapes

* Add PartialShapes to Input, Output, Function, Node classes

* Terminological cleanup

* Add conv+bias

* Add test case for QuantizedConv2DWithBiasAndRelu and address feedback

* add a test failed on gpu, pass on cpu

* fixed bug

* get datatype size

* add descript for test

* update comment

* update comments and name

* WIP input * weights rnn optimization

* concat + slcing + replacing new node works

* WIP unit test case of fusing rnn inputs

* - Added unit test case for fusing rnn input weights
- registered CPURnnMatFusion_v1/v2 in codegen and DEX

* fixed redeclaration of a variable

* Refactored rnn input traformation passes into a single pass

* Refactored CPURnnMatFusion call back functions

* change random generator range to include -ve values in unit test

* address PR comments

* dont fuse if the shape of the data slices dont match

* rename files

* rename runtime TensorView to Tensor

* rename HostTensorView to HostTensor