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-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h17
1 files changed, 16 insertions, 1 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h b/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
index 72c43a39d..655fd91e8 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
@@ -182,6 +182,15 @@ struct TensorEvaluator<const TensorShufflingOp<Shuffle, ArgType>, Device>
m_impl.evalSubExprsIfNeeded(NULL);
return true;
}
+
+#ifdef EIGEN_USE_THREADS
+ template <typename EvalSubExprsCallback>
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeededAsync(
+ EvaluatorPointerType, EvalSubExprsCallback done) {
+ m_impl.evalSubExprsIfNeededAsync(nullptr, [done](bool) { done(true); });
+ }
+#endif // EIGEN_USE_THREADS
+
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
m_impl.cleanup();
}
@@ -237,10 +246,16 @@ struct TensorEvaluator<const TensorShufflingOp<Shuffle, ArgType>, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void getResourceRequirements(
std::vector<internal::TensorOpResourceRequirements>* resources) const {
+ static const int inner_dim =
+ Layout == static_cast<int>(ColMajor) ? 0 : NumDims - 1;
+ const bool inner_dim_shuffled = m_shuffle[inner_dim] != inner_dim;
+
Eigen::Index block_total_size_max = numext::maxi<Eigen::Index>(
1, m_device.firstLevelCacheSize() / sizeof(Scalar));
resources->push_back(internal::TensorOpResourceRequirements(
- internal::kUniformAllDims, block_total_size_max));
+ inner_dim_shuffled ? internal::kUniformAllDims
+ : internal::kSkewedInnerDims,
+ block_total_size_max));
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorBlockV2