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Scott Cyphers authored
* [ONNX] Add GatherND op to ONNX importer (#3963) * [ONNX] Added gatherND op to ONNX importer. * Added tests. * Removed new line. * Update onnx_import.in.cpp * Changed tests. * Fix serialization of op's type (#4019) * Fix serializer op name * cleanup * Make sure examples compile (#3981) * Make sure examples compile * Resolve doc build error due to opset versioning and align dynamic tensor doc to cpp example * Add latest rc * Remove deprecated API * Update brief link summary * Dist example * update doc for cpp code examples folder * Fix typo and toc index * Build config for example, deprecation in dist test * style * Update jenkins-trigger.groovy Moving to gitlab. * Fix layernorm flatten issue (#4032) * fix layernorm flatten issue * update ut * checkout output val * fix style * apply tolerance * [MKLDNN] Emit dgemm for 2D DP FP Dot op (#3990) * [MLIR] Update MLIR/LLVM repos * Move MLIR/LLVM repos forward This includes fix to affine fusion algorithm. * Fix issues after merge * Fix lit test * [MKLDNN] Emit dgemm for 2D DP FP Dot op Add support for emitting MKLDNN's double precision FP gemm from a 2D double precision floating point Dot operation. * Removed unnecessarily duplicated pattern * Add f64 matmul support to CPU Emitter + unit test * Add check for DP unsupported bias in cpu_fusion.cpp * Remove GOE from Adjoints class (#3973) * Change generate_adjoints to take an OutputVector instead of a NodeVector for deltas. * Cleanup * Adjoints class convert to use Output<Node> * More cleanup * More cleanup * Post-merge build issues * Don't push initial bprops multiple times * Eliminate GOE correctly * back-compatibility, unit test * Helper in Constant to allow casting values to a different type (#4000) * Helper in Constant to allow casting values to a different type Simplify logic needed to extract values from a Constant node, when the expected data type is specified only as integral or floating point. * Review comment * Review comment Co-Authored-By:Tomasz Socha <tomasz.socha@intel.com> * Style apply * TensorIterator: reshape support (#4038) * Add second decompose pass to INTERPRETER backend (#4036) * Update MKLDNN to v1.0.4. (#3951) * Update MKLDNN to v1.0.4. Build MKLDNN-v1 by default. * Add bf16 support check. * Modify visibility. * Tested doc build for 0.27 with sitemap for ngraph.ai endpoint (#4014) * Make sure examples compile * Resolve doc build error due to opset versioning and align dynamic tensor doc to cpp example * Add latest rc * Remove deprecated API * Update brief link summary * Dist example * update doc for cpp code examples folder * Fix typo and toc index * Build config for example, deprecation in dist test * style * Sitemap for ngraph.ai doc content * Add title to sitemap * resolve docbuild warnings resultant from sitemap link labeling * Doc tag for 0.27.1 * Matmul dyshape_fused_forward_fluid_fix (#4023) * use constructor_validate_and_infer_types() in CumSum ctor (#4044) * - use construct_validate_infer_types() in CumSum ctor * - remove unused variable - relax rank check * Warning * Fix tolerance for all_close_f (#4042) * Fix tolerance for all_close_f * Lower tolerance * use all_close * Use v1::Gather in ONNX Importer (#4037) * Add upgrade and downgrade pass for GroupConvolutionBackpropData ops (#4035) * Add upgrade and downgrade pass for GroupConvolutionBackpropData ops - Add up/downgrade passes for GroupConvolutionBackpropData operators - Improve decompose operatorion of v0::GroupConvolutionBackpropData to support N-dimensional data - Add UT for up/downgrade passes. * Remove unused variable * Fixed constant operation for u1 format (#4045) * Fixed bin constant ops * Added export * Fixed buffer size * Fixed code style * Fix broken serialize and deserialize for Sum and Product (#4050) * v1::Reshape downgrade pass + onnx_importer adjustments (#4046) * Update ONNX importer to use nGraph ops from new opset header (#3994) * Fix NNP-T naming in README (#4048)
