diff options
author | Gael Guennebaud <g.gael@free.fr> | 2018-06-07 14:43:02 +0200 |
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committer | Gael Guennebaud <g.gael@free.fr> | 2018-06-07 14:43:02 +0200 |
commit | b3fd93207bea08fc459be46f84fd6bbe18b19523 (patch) | |
tree | a4607c9e0c086ada062606cd04c54ed6255b412a /unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h | |
parent | 405859f18dac56f324e1d93ca8721d5f7fd22c62 (diff) |
Fix typos found using codespell
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h')
-rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h index 94899252b..a379f5a94 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h @@ -106,7 +106,7 @@ struct FullReducer<Self, Op, const Eigen::SyclDevice, Vectorizable> { /// if the shared memory is less than the GRange, we set shared_mem size to the TotalSize and in this case one kernel would be created for recursion to reduce all to one. if (GRange < outTileSize) outTileSize=GRange; /// creating the shared memory for calculating reduction. - /// This one is used to collect all the reduced value of shared memory as we dont have global barrier on GPU. Once it is saved we can + /// This one is used to collect all the reduced value of shared memory as we don't have global barrier on GPU. Once it is saved we can /// recursively apply reduction on it in order to reduce the whole. auto temp_global_buffer =cl::sycl::buffer<CoeffReturnType, 1>(cl::sycl::range<1>(GRange)); typedef typename Eigen::internal::remove_all<decltype(self.xprDims())>::type Dims; @@ -150,7 +150,7 @@ struct InnerReducer<Self, Op, const Eigen::SyclDevice> { // getting final out buffer at the moment the created buffer is true because there is no need for assign /// creating the shared memory for calculating reduction. - /// This one is used to collect all the reduced value of shared memory as we dont have global barrier on GPU. Once it is saved we can + /// This one is used to collect all the reduced value of shared memory as we don't have global barrier on GPU. Once it is saved we can /// recursively apply reduction on it in order to reduce the whole. dev.parallel_for_setup(num_coeffs_to_preserve, tileSize, range, GRange); dev.sycl_queue().submit([&](cl::sycl::handler &cgh) { |