725584e26d
Summary: Make it possible to feed runtime information back to tablegen to enable profile-guided tablegen-eration, detection of untested tablegen definitions, etc. Being a cross-compiler by nature, LLVM will potentially collect data for multiple architectures (e.g. when running 'ninja check'). We therefore need a way for TableGen to figure out what data applies to the backend it is generating at the time. This patch achieves that by including the name of the 'def X : Target ...' for the backend in the TargetRegistry. Reviewers: qcolombet Reviewed By: qcolombet Subscribers: jholewinski, arsenm, jyknight, aditya_nandakumar, sdardis, nemanjai, ab, nhaehnle, t.p.northover, javed.absar, qcolombet, llvm-commits, fedor.sergeev Differential Revision: https://reviews.llvm.org/D39742 llvm-svn: 318352
38 lines
1.3 KiB
C++
38 lines
1.3 KiB
C++
//===-- TargetInfo/AMDGPUTargetInfo.cpp - TargetInfo for AMDGPU -----------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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/// \file
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//
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//===----------------------------------------------------------------------===//
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#include "AMDGPUTargetMachine.h"
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#include "llvm/Support/TargetRegistry.h"
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using namespace llvm;
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/// \brief The target which supports all AMD GPUs. This will eventually
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/// be deprecated and there will be a R600 target and a GCN target.
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Target &llvm::getTheAMDGPUTarget() {
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static Target TheAMDGPUTarget;
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return TheAMDGPUTarget;
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}
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/// \brief The target for GCN GPUs
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Target &llvm::getTheGCNTarget() {
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static Target TheGCNTarget;
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return TheGCNTarget;
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}
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/// \brief Extern function to initialize the targets for the AMDGPU backend
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extern "C" void LLVMInitializeAMDGPUTargetInfo() {
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RegisterTarget<Triple::r600, false> R600(getTheAMDGPUTarget(), "r600",
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"AMD GPUs HD2XXX-HD6XXX", "AMDGPU");
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RegisterTarget<Triple::amdgcn, false> GCN(getTheGCNTarget(), "amdgcn",
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"AMD GCN GPUs", "AMDGPU");
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}
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