Experiment with oneDNN group convolution op #37
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* Add conda env yaml * Add mlp example * Add dumps to mlp example (enabled by default)
Signed-off-by: Ilya Enkovich <[email protected]> Co-authored-by: Laurent Montigny <[email protected]>
…nels. (intel-staging#4) * Add lowering pass and backend to experiment with matmul kernels. Signed-off-by: Ilya Enkovich <[email protected]> * Use MKL for matmul kernels. Signed-off-by: Ilya Enkovich <[email protected]> --------- Signed-off-by: Ilya Enkovich <[email protected]>
Signed-off-by: Ilya Enkovich <[email protected]>
This commit introduces FuseLinalgOpsPass that merges Transpose in any matmul argument for Linalg dialect. The conversion from torch to linalg has also been changed and `aten::mm` is converted to `linalg::matmul` instead of `linalg::generic`. Signed-off-by: Dmitrii Makarenko <[email protected]>
This commit fixes issue, when one of matmul inputs is arg of function. It's passed as nullptr and can't be dyn_casted. Signed-off-by: Dmitrii Makarenko <[email protected]>
* Add debug timer logs collection script * Add dumps for MLP overhead experiment * Add python gpu proto-backend * Add gpu-proto to the list of available backends in e2e * Add mlir-extensions as external submodule * Update MLIR for IMEX integration * Update mlir-extensions * Register IMEX dialects and passes * Add build script for gpu path * Revert "Update MLIR for IMEX integration" This reverts commit 84442a4. * Revert "Update mlir-extensions" This reverts commit eedfb05. * Fix build script * Remove llvm from deps & add level zero for the runtime lib * Add missing imex patches * Add level zero library search * Load gpu runtime via e2e main * Make build-with-imex.sh re-runnable * Cleanup
Signed-off-by: Ilya Enkovich <[email protected]>
Signed-off-by: Ilya Enkovich <[email protected]>
This reverts commit 7b8371d.
Signed-off-by: Ilya Enkovich <[email protected]>
…ved (intel-staging#21) Signed-off-by: Gregory Shimansky <[email protected]>
This commits adds OneDNN to build and conversion from linalg::Conv2DNchwFchwOp to convolution_forward::primitive_desc. Signed-off-by: Dmitrii Makarenko <[email protected]>
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This will address the issue #35
How to run:
`python -m e2e_testing.main -c "cpuproto" -f "MLP_basic" -v -s --enable-timer --use-kernelsThis is a WIP