Can we have the python harness to emit directly the LLVM ll file? about iree-llvm-sandbox HOT 3 CLOSED

Getting LLVM IR out is a bit annoying because it is not even visible at the Python level. However, you can dump LLVM Dialect using https://github.com/google/iree-llvm-sandbox/blob/main/python/examples/core/harness.py#L123 and call mlir-translate before calling llc.

I am not sure what mlir-c-runner refers to here, there is libmlir_c_runner_utils.so and mlir-cpu-runner.

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There is also the tools/llvm-mca.py script that I use successfully to cross-compile and pipe through llvm-mca.
It generates all the interim files and can start from either the mlir in llvm-dialect form or from the jitt'ed .o

The part that is trickier is producing the .o without running as it needs to happen in ExecutionEngine.
Then there is the problem that the LLVM passes in the JIT will differ from what you do on the CLI:
I do not get the same binary using the llvm-mca.py if I start form .mlir or from .o and I do not have a good way to reconcile those atm.

Usage of llvm-mca.py:

(cd ${IREE_LLVM_SANDBOX_SOURCE_DIR}; python -m python.tools.llvm_mca -mlir-translate=${LLVM_BUILD_DIR}/bin/mlir-translate -llvm-objdump=${LLVM_BUILD_DIR}/bin/llvm-objdump \
  -llvm-llc=${LLVM_BUILD_DIR}/bin/llc -llvm-opt=${LLVM_BUILD_DIR}/bin/opt -llvm-mca=${LLVM_BUILD_DIR}/bin/llvm-mca -mlir-file=/tmp/abc.mlir -f=transpose_2d_on_tensors; \
    less /tmp/abc.mlir_llvm_mca.out)

You need to pass the proper -mlir-file=/tmp/abc.mlir -f=transpose_2d_on_tensors for your use case.
This will create all the /tmc/abc.mlirxxx files needed (.ll, .o etc).

This should compose well with the other functionality that dump LLVM dialect to file.

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This has also been done. Closing

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