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Searched refs:compute_cost (Results 1 – 12 of 12) sorted by relevance

/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DTensorBroadcasting.h353 double compute_cost = TensorOpCost::AddCost<Index>();
356 compute_cost += TensorOpCost::DivCost<Index>();
358 compute_cost +=
362 compute_cost += TensorOpCost::MulCost<Index>() +
367 compute_cost +=
372 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
DTensorCostModel.h84 double load_cost, double store_cost, double compute_cost) const { in total_cost() argument
86 compute_cost * compute_cycles_; in total_cost()
DTensorReverse.h213 double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() +
218 compute_cost += 2 * TensorOpCost::AddCost<Index>();
222 TensorOpCost(0, 0, compute_cost, false /* vectorized */, PacketSize);
DTensorStriding.h212 double compute_cost = (NumDims - 1) * (TensorOpCost::AddCost<Index>() +
217 compute_cost *= 2; // packet() computes two indices
222 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
DTensorInflation.h204 const double compute_cost = NumDims * (3 * TensorOpCost::DivCost<Index>() +
213 compute_cost, vectorized, PacketSize);
DTensorShuffling.h181 const double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() +
185 TensorOpCost(0, 0, compute_cost, false /* vectorized */, PacketSize);
DTensorArgMax.h259 const double compute_cost = 1.0 +
262 m_impl.costPerCoeff(vectorized) + TensorOpCost(0, 0, compute_cost);
DTensorPatch.h249 const double compute_cost = NumDims * (TensorOpCost::DivCost<Index>() +
253 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
DTensorConcatenation.h265 const double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() +
275 TensorOpCost(0, 0, compute_cost);
DTensorImagePatch.h441 const double compute_cost = 3 * TensorOpCost::DivCost<Index>() +
445 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
DTensorVolumePatch.h499 const double compute_cost =
502 return TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
DTensorReduction.h659 const double compute_cost = num_values_to_reduce * internal::functor_traits<Op>::Cost;
661 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);