avoid error tautological-constant-out-of-range-compare

Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* [MLIR] Update MLIR repo

* Nagy's fix

* Changes related to mlir-opt

* Update MLIR commit

* Update MLIR commit and callbacks.

* Disable 'noalias' attribute.

It will be re-introduced in a follow-up commit.

* Remove '__mlir' prefix in callback test

* Address feedback

* Fix EDSC includes

* Move MLIR repo forward

* Update type converter code

* Address feedback
Co-authored-by: Amy Zhuang <amyzhuang97@gmail.com>

* Switch to PartialShape in onnx_importer ValueInfo

* Construct dynamic dimensions out of ONNX dimensions defined as dim_param

* Validate the PartialShape of inputs created from an ONNX model with dynamic shapes

* Validate the output shape inference for a dynamic ONNX model

* Test the execution of an ONNX model with dynamic dimensions

* Test the Ax+B with more than one batch size

* Provenance tagging adjustments - PartialShape instead of Shape

* Correct translation of ONNX shapes to nG shapes

* Test the shape of Constant produced by scalar initializers

* Review comments & more strict assertions in UT

* UT checking a dynamic rank input

* Fully dynamic input inference test

* first dynamic version

* modified UTs

* Added assert checks

* Added specialised methods

* first verion of AvgPool

* code review remarks introduced

* Changed tests to use default BackendMode value

* Reverted not related changes

* first verion of AvgPool

code review remarks introduced

Changed tests to use default BackendMode value

* first version of maxpool

* Changed PoolingFactory to support dynamic shapes

* fixed Pad op

* Added Uts to global ops

* Code review remarks introduced

* code review remarks introduced

* Code refactor

* Code review remarks introduced
Co-authored-by: Tomasz Dołbniak <tomasz.dolbniak@intel.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Added Round op to onnx importer.

* Added a new line.

* Excluded test from plaidml.

* Code formatting.

* Added header.

* Unabled test on gpu.
Co-authored-by: Chris Sullivan <chris.sullivan@intel.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Update MKLDNN to v1.2.

* Change class to struct.

* Change to struct.
Co-authored-by: Robert Kimball <robert.kimball@intel.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Helper function get_axes_mapping.

* Enhance Broadcast:v1 NUMPY broadcasting.

- Enable NUMPY broadcasting mechanism to work in bothdirections:
    target_shape <-> arg_shape

* Add opset1:squeeze and fix bug in reading squeezed axis idx.

* Fix and enhance downgrade pass for Broadcast:v1

* Use Broadcast:v1 in ONNX Expand operator.

* Replace Broadcast:v0 with v1 in some helper functions.

* Remove call to deprecated legacy_broadcasting helper function.

* Add helper get_axes_mapping_output function.

* Use directly Broadcast:v1 instead of helper function.

* Get back operators from v0 in helper function.

* Use helper function and some refactoring.

* Add legacy style broadcast helper function for opset1.

* User helper broadcasting function for arithmetic operators.

* Add empty axis only if its size is equal to one.

* Aplly review remarks:

- Rename broadcasting function deleting _values_ infix
- Remove variables used only once.
- Use STL library where possible.
- Remove unnecessary conditions.

* Add helper for Broadcast:v1.

* Fix merge artifact and force unsigned type for argument.

* Review. Add additional check for static output.

* Apply clang-format.

* Fix: call v0 ops in ngraph::builder namespace.

* Move opset1 boradcasting helpers from util/broadcasting.hpp

* Use autobroadcast built-in mechanism for arithmetic operators in RNN.

* Move helper functions to autobroadcast.hpp file.

- Update calls with new namespace ngraph::builder
- Remove calls using shared_ptr<ngraph::Node> and replace them with
  one accepting Output<ngraph::Node>
- Some small formatting (remove unnecesary namespace prefix)

* Remove unused function.

* Rename error class to reflect it's NumPy related.

* Fix thrown error name in autobroadcast UT.

* Code refactoring.

- Use one one set of helpers to broadcast node according to NumPy scheme

* Documentation formatting.

* Remove include to deleted header.

* Apply style format.

* Remove std:: prefix.

* Do reshape and/or broadcast only when necessary.

* Remove std:: and ngraph:: prefixes.

* UT for numpy_broadcast_for_matmul and legacy boradcast.

* Rename helper function.

* UT for opset1 legacy broadcast helper function.

* Add more UT for get_axes_mapping and style-format.

* Review comments.

* Restrict if with NGRAPH_WARN to NGRAPH_CHECK.
Co-authored-by: Michał Karzyński <postrational@users.noreply.github.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

Co-authored-by: Robert Kimball <robert.kimball@intel.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Use default_opset in Gemm

* Use default_opset in Cos and Cosh

* Use default_opset in Slice

* Use default_opset in Log

* Use explicit opset0 in ScatterND

* Use default_opset in Hardmax

* Use default_opset in utils

* Remove redundant headers

* Style check

Merge branch 'mbencer/BuilderSplitV1' of https://github.com/NervanaSystems/ngraph into mbencer/BuilderSplitV1

* Constify the onnx importer conv

* Extract and fix the groups attribute validation for Conv

* Check if the convolution's data input rank is static

* Validate the groups attribute against channels and filters

* Validate the conv operation in a separate function

* Dynamically broadcast the conv bias if needed

* Import a test model with dynamic batch conv op

* Run a conv test with dynamic batch

* Cleanup of conv bias handling code

* Use a proper Broadcast constructor for bias in onnx conv

* Handle dynamic ReduceMean with statically defined rank

* Use the target shape rank to construct the default output shape for Broadcast

* Handle ONNX Squeeze with dynamic input and static rank

* Handle ONNX Shape with dynamic input and static rank

* Handle the dynamic target shape in ONNX Reshape

* Fix for the ONNX Shape input validation

* Handle ONNX Softmax with dynamic input and static rank

* Fix the failing Broadcast type prop test

* Code formatting

* Dont broadcast bias before adding it to the conv node

* Drop the conv node validation and rely on the core op implementation checks

* Code review feedback

* Revert the Broadcast op changes

* More code review feedback

* Dynamic conv test using ng test case

* Obsolete headers removal

* Code formatting

* Variable names refactor

* Disable model_conv_with_dynamic_batch test on GPU

* Code formatting
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

Co-authored-by: Chris Sullivan <chris.sullivan@intel.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Start of rework

* Faster multiply simplification

* Fix uniform constant check

* Support Add op

* Fix build error
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Fixed memory blob

* Fixed code style
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Use test case in quant tests

* Reshape test refactor

* Reshape tests refactor

* Test case refactor onnx_import

* onnx import_in test case refactor

* onnx reshape test case refactor

* onnx convpool test case refactor

* onnx import in test case refactor

* onnx reshape test case refactor

* Style apply

* Style apply

* Removed commented code

* Infinity check softplus test refactor
Co-authored-by: Robert Kimball <robert.kimball@intel.com>

* Fix warnings

Control reaches end of non-void function

* Format

* Revert changes + add throw at EOF

* Alternative fix
Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>
Co-authored-by: Robert Kimball <robert.kimball@intel.com>

* - add fused_op.td to CmakeLists
- define pattern to fuse Wx + b and to replace with MatMulBias

* - remove table-gen LLVM_TARGET_DEFINATION for fused_ops_pattern.td,
fused_ops.td
- fix build issues

* - change pattern to to match MatMul instead of Dot
- support in CMake to register MatMulBias fused Op pattern

* - made changes to fusion pattern to match Add( Dot (op1, op2), bias) for
MatmulBias
- use applyPatternsGreedily instead of applyFullConversion in the graph
pass
- add unit test inter v/s CPU for MatMulBias

* - Affine lowering, verifier logic to NgMatMulBiasOp

* add missing header file

* - WIP, use NGGemm instead of NGMatMulBias

* -undo unintended changes

* Addressed PR comments

* - refactor the ctor of the NgDialectFusion pass
- register NgDialectFusion pass with the PassRegistration

* Address PR comments

* -add lit test for matmul+bias fusion

* -style fix lit test
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

Co-authored-by: Robert Kimball <robert.kimball@intel.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Update sitemap to not use a page title

* Update doc for DLDT layers and remove references to PlaidML

* Set output shape of Deconv with dynamic input

* Trigger CI

Co-authored-by: Robert Kimball <robert.kimball@intel.com>

* Add ngraph visibility exports for the NVIDIA GPU backend.

* Remove GroupConvTranspose emitter.

* Disable failing tests that have appeared since removal of GPU backend in v0.25

* Update src/ngraph/runtime/gpu/unit_test.manifest

* Add more disabled tests.

* Add more disabled tests.
Co-authored-by: Robert Kimball <robert.kimball@intel.com>

* Always use control deps in sorting

* Fix build

* Deprecate old topological sort
Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

* ConvBackPropData dynamic output shape input

* Adam comments
Co-authored-by: aslepko <44713115+aslepko@users.noreply.github.com>
Co-authored-by: Robert Kimball <robert.kimball@intel.com>
Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

* Remove Event tracing and replace with chrome trace

* style
Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

* Add some attribute visitors

* Need to keep size_t for opset1

* Fix condition

* Misso

* Missed int64_t

* Revert std changes

* Header reorg
Co-authored-by: aslepko <44713115+aslepko@users.noreply.github.com>

Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

* Asinh dynamic shape support prototype

* Asinh static shape test

* Asinh dynamic shapes test

* Unified asinh implementation for static and dynamic shapes

* Atanh dynamic shapes support

* Style apply

* Acosh dynamic shape support

* Tests update

* Style apply

* Update PlaidML manifest

* Use default tolerance bits

* Style apply

* Def tolerance bits for dynamic tests

* Rename dim_param

* Update acosh.prototxt

* Update acosh_dyn_shape.prototxt
Co-authored-by: Robert Kimball <robert.kimball@intel.com>

* Start

* Move Input

* Move Output

* Move ostream
Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>