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authorGravatar Gael Guennebaud <g.gael@free.fr>2018-06-07 14:43:02 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2018-06-07 14:43:02 +0200
commitb3fd93207bea08fc459be46f84fd6bbe18b19523 (patch)
treea4607c9e0c086ada062606cd04c54ed6255b412a /unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
parent405859f18dac56f324e1d93ca8721d5f7fd22c62 (diff)
Fix typos found using codespell
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h2
1 files changed, 1 insertions, 1 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h b/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
index b148dae39..bb63baee2 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
@@ -195,7 +195,7 @@ class TensorCostModel {
// 11 is L2 cache latency on Haswell.
// We don't know whether data is in L1, L2 or L3. But we are most interested
// in single-threaded computational time around 100us-10ms (smaller time
- // is too small for parallelization, larger time is not intersting
+ // is too small for parallelization, larger time is not interesting
// either because we are probably using all available threads already).
// And for the target time range, L2 seems to be what matters. Data set
// fitting into L1 is too small to take noticeable time. Data set fitting