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add optimization plans for concat matmul, eliminate add-zero, eliminate useless identity op #344

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add optimization plans for concat matmul, eliminate add-zero, eliminate useless identity op #344

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478e0cb
annotate the llama mlir code
effrey-liu Jul 2, 2024
4367188
Merge branch 'main' of https://github.com/buddy-compiler/buddy-mlir i…
effrey-liu Jul 10, 2024
4434b3c
add optimizations plans in next
effrey-liu Jul 10, 2024
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293 changes: 293 additions & 0 deletions examples/BuddyNext/makefile
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Original file line number Diff line number Diff line change
Expand Up @@ -164,3 +164,296 @@ next-attention-fusion-run:
-reconcile-unrealized-casts | \
${MLIR_CPU_RUNNER} ${OPT_FLAG} -e main -entry-point-result=void \
-shared-libs=${MLIR_RUNNER_UTILS} -shared-libs=${MLIR_C_RUNNER_UTILS}

next-concat-matmul-lower:
@${MLIR_OPT} ./next-concat-matmul.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts \
-o ./log.mlir

next-concat-matmul-translate:
@${MLIR_OPT} ./next-concat-matmul.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts | \
${MLIR_TRANSLATE} --mlir-to-llvmir -o log.ll

next-concat-matmul-run:
@${MLIR_OPT} ./next-concat-matmul.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts | \
${MLIR_CPU_RUNNER} ${OPT_FLAG} -e main -entry-point-result=void \
-shared-libs=${MLIR_RUNNER_UTILS} -shared-libs=${MLIR_C_RUNNER_UTILS}

next-eliminate-add-zero-lower:
@${MLIR_OPT} ./next-eliminate-add-zero.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts \
-o ./log.mlir

next-eliminate-add-zero-translate:
@${MLIR_OPT} ./next-eliminate-add-zero.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts | \
${MLIR_TRANSLATE} --mlir-to-llvmir -o log.ll

next-eliminate-add-zero-run:
@${MLIR_OPT} ./next-eliminate-add-zero.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts | \
${MLIR_CPU_RUNNER} ${OPT_FLAG} -e main -entry-point-result=void \
-shared-libs=${MLIR_RUNNER_UTILS} -shared-libs=${MLIR_C_RUNNER_UTILS}


next-eliminate-identity-lower:
@${MLIR_OPT} ./next-eliminate-identity.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts \
-o ./log.mlir

next-eliminate-identity-translate:
@${MLIR_OPT} ./next-eliminate-identity.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts | \
${MLIR_TRANSLATE} --mlir-to-llvmir -o log.ll


next-eliminate-identity-run:
@${MLIR_OPT} ./next-eliminate-identity.mlir \
-pass-pipeline "builtin.module(func.func(tosa-to-linalg-named),func.func(tosa-to-linalg),func.func(tosa-to-tensor),func.func(tosa-to-arith))" | \
${MLIR_OPT} \
-arith-expand \
-eliminate-empty-tensors \
-empty-tensor-to-alloc-tensor \
-one-shot-bufferize \
-convert-linalg-to-affine-loops \
-affine-loop-fusion \
-lower-affine \
-func-bufferize \
-arith-bufferize \
-tensor-bufferize \
-buffer-deallocation \
-finalizing-bufferize \
-convert-vector-to-scf \
-expand-strided-metadata \
-convert-vector-to-llvm \
-memref-expand \
-arith-expand \
-convert-arith-to-llvm \
-finalize-memref-to-llvm \
-convert-scf-to-cf \
-convert-openmp-to-llvm \
-convert-arith-to-llvm \
-convert-math-to-llvm \
-convert-math-to-libm \
-convert-func-to-llvm \
-reconcile-unrealized-casts | \
${MLIR_CPU_RUNNER} ${OPT_FLAG} -e main -entry-point-result=void \
-shared-libs=${MLIR_RUNNER_UTILS} -shared-libs=${MLIR_C_RUNNER_UTILS}
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