97f15eda4f
Currently, passes are registered on a per-dialect basis, which provides the smallest footprint obviously. But for prototyping and experimentation, a convenience "all passes" module is provided, which registers all known MLIR passes in one run. Usage in Python: import mlir.all_passes_registration Reviewed By: mehdi_amini Differential Revision: https://reviews.llvm.org/D103130
27 lines
947 B
C++
27 lines
947 B
C++
//===- Registration.cpp - C Interface for MLIR Registration ---------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir-c/Registration.h"
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#include "mlir/CAPI/IR.h"
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#include "mlir/InitAllDialects.h"
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#include "mlir/InitAllPasses.h"
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#include "mlir/Target/LLVMIR/Dialect/LLVMIR/LLVMToLLVMIRTranslation.h"
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void mlirRegisterAllDialects(MlirContext context) {
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mlir::registerAllDialects(*unwrap(context));
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// TODO: we may not want to eagerly load here.
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unwrap(context)->loadAllAvailableDialects();
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}
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void mlirRegisterAllLLVMTranslations(MlirContext context) {
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mlir::registerLLVMDialectTranslation(*unwrap(context));
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}
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void mlirRegisterAllPasses() { mlir::registerAllPasses(); }
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