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Don't explicitely evaluate the subexpression from TensorForcedEval::evalSubExprIfNeeded, as it will be done when executing the EvalTo subexpression

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This commit is contained in:
Benoit Steiner 2016-01-24 23:04:50 -08:00
parent bd207ce11e
commit e3a15a03a4
1 changed files with 0 additions and 2 deletions
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unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
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@ -106,7 +106,6 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_impl.dimensions(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(CoeffReturnType*) {
m_impl.evalSubExprsIfNeeded(NULL);
const Index numValues = m_impl.dimensions().TotalSize();
m_buffer = (CoeffReturnType*)m_device.allocate(numValues * sizeof(CoeffReturnType));
// Should initialize the memory in case we're dealing with non POD types.
@ -119,7 +118,6 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
EvalTo evalToTmp(m_buffer, m_op);
const bool PacketAccess = internal::IsVectorizable<Device, const ArgType>::value;
internal::TensorExecutor<const EvalTo, Device, PacketAccess>::run(evalToTmp, m_device);
m_impl.cleanup();
return true;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {