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authorGravatar Jie <jiej@nvidia.com>2018-07-17 15:07:50 -0700
committerGravatar Jie <jiej@nvidia.com>2018-07-17 15:07:50 -0700
commit6d0c3acc5a728652b77914a38482f9592578e0df (patch)
tree3f927ef1ceb1db1744bc898d952bb413a21a905c /tensorflow/contrib/tensorrt/convert
parentc8f0730484376c3020804fcf1639f55934b70cbe (diff)
1. rename class member variables with trailing underscore
2. change unique_ptr allocator type to base class.
Diffstat (limited to 'tensorflow/contrib/tensorrt/convert')
-rw-r--r--tensorflow/contrib/tensorrt/convert/convert_graph.cc2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/tensorrt/convert/convert_graph.cc b/tensorflow/contrib/tensorrt/convert/convert_graph.cc
index bcc867efea..97a26f796c 100644
--- a/tensorflow/contrib/tensorrt/convert/convert_graph.cc
+++ b/tensorflow/contrib/tensorrt/convert/convert_graph.cc
@@ -829,7 +829,7 @@ tensorflow::Status ConvertAfterShapes(ConversionParams& params) {
// The allocator is used to build the engine. The build and the built engine
// will be destroyed after we get the serialized engine string, so it's fine
// to use unique_ptr here.
- std::unique_ptr<TRTDeviceAllocator> alloc;
+ std::unique_ptr<TRTBaseAllocator> alloc;
auto device_alloc = GetDeviceAndAllocator(params, engine);
int cuda_device_id = 0;
if (device_alloc.first >= 0) {