* Fix allocation size in batchnorm kernel

* added missing brackets

* Support GPUKernelArgs in Elementwise-collective and Nd-Convolution.

* Update op::ReplaceSlice to use GPUKernelArgs and unroll coordinate transform loop.

* Formatting.

* Moved function signature for global kernels back to emitter body.

* Formatting.

* added DEX support for BatchNormRelu

* - templatized build_batchnorm_emitter

* IntelGPU backend: Concat operation implementation

* Several remarks were fixed

* Remaining remarks were fixed; List of tests for INTELGPU was updated

* PR1363: Minor Fixes

* Make pool alignment a constexpr

* Fix ODR-use

* Add an option to exclude the first iteration

* Switch to warmup iterations

* Cleanup

* - Added DEX support for BoundedRelu
- Refactored bounded_relu in cpu_emitter to use mkldnn_emitter helper methods

* remove unwanted templatization for bounded_relu mkldnn_emitter

* - Added DEX execution support for Lstm
- Added DEX execution support for Rnn

* style fix

* - used mkldnn_utils helper function for building DEX Lstm memory desc

*  - used mkldnn_utils helper function for building DEX Rnn memory desc

* addressed PR comments

* - Refactored rnn & lstm cpu_emitter code to use the mkldnn_emitter helper methods

* Re-align docs with code example for mnist

* Also fix dist_mnist and add context highlight

* IntelGPU backend: Tests updated. Code refactored. No algorithms changed.

* PR1362. debug code removed

* GPUShape(int32_t) -> NVShape(uint32_2), NVDiff(int32_t)

* Update code merged from master.

* Add nvshape.hpp and nvdiff.hpp.

* CPU Direct Execution: Implement ReplaceSlice

* Remove scalar variant

* CPU Direct Execution: Implement Reduce

* Workarounds for ancient CI compilers

* Fix return types

* Review comments

* batchdot with debug statements

* clean up

* address feedback

* DEX LRN

* merge after jbobba's changes

* reduce fprop cache outputs

* refactor traverse nodes

* Slight refactor, add test, adress PR comments

* fix formatting

* Add helper macros to select from a partial set of ranks and element types

* CPU Direct Execution: Implement Softmax

* Add softmax builder to the build script

* Update

* IntelGPU backend: And, Or operations

* Code format update: intelgpu_backend.cpp and intelgpu_op_custom_kernels.cpp

* Update logical operations