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authorJacques Pienaar <jpienaar@google.com>2019-08-17 11:05:35 -0700
committerA. Unique TensorFlower <gardener@tensorflow.org>2019-08-17 11:06:03 -0700
commit79f53b0cf1fd204af0a09c8e085dd09a1ce0b6d9 (patch)
tree066738742712f75cc95b5ea30ae10d9a9c379d8b /mlir/lib/Conversion/LoopsToGPU/LoopsToGPUPass.cpp
parentdbf8538b64a61d0b93420b293b8508b158377757 (diff)
downloadbcm5719-llvm-79f53b0cf1fd204af0a09c8e085dd09a1ce0b6d9.tar.gz
bcm5719-llvm-79f53b0cf1fd204af0a09c8e085dd09a1ce0b6d9.zip
Change from llvm::make_unique to std::make_unique
Switch to C++14 standard method as llvm::make_unique has been removed ( https://reviews.llvm.org/D66259). Also mark some targets as c++14 to ease next integrates. PiperOrigin-RevId: 263953918
Diffstat (limited to 'mlir/lib/Conversion/LoopsToGPU/LoopsToGPUPass.cpp')
-rw-r--r--mlir/lib/Conversion/LoopsToGPU/LoopsToGPUPass.cpp6
1 files changed, 3 insertions, 3 deletions
diff --git a/mlir/lib/Conversion/LoopsToGPU/LoopsToGPUPass.cpp b/mlir/lib/Conversion/LoopsToGPU/LoopsToGPUPass.cpp
index 36869b87f1a..4b241e497c6 100644
--- a/mlir/lib/Conversion/LoopsToGPU/LoopsToGPUPass.cpp
+++ b/mlir/lib/Conversion/LoopsToGPU/LoopsToGPUPass.cpp
@@ -69,11 +69,11 @@ struct ForLoopMapper : public FunctionPass<ForLoopMapper> {
std::unique_ptr<FunctionPassBase>
mlir::createSimpleLoopsToGPUPass(unsigned numBlockDims,
unsigned numThreadDims) {
- return llvm::make_unique<ForLoopMapper>(numBlockDims, numThreadDims);
+ return std::make_unique<ForLoopMapper>(numBlockDims, numThreadDims);
}
static PassRegistration<ForLoopMapper>
registration(PASS_NAME, "Convert top-level loops to GPU kernels", [] {
- return llvm::make_unique<ForLoopMapper>(clNumBlockDims.getValue(),
- clNumThreadDims.getValue());
+ return std::make_unique<ForLoopMapper>(clNumBlockDims.getValue(),
+ clNumThreadDims.getValue());
});
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