| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| D | TensorBroadcasting.h | 353 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);
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| D | TensorReverse.h | 213 double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() +
218 compute_cost += 2 * TensorOpCost::AddCost<Index>();
222 TensorOpCost(0, 0, compute_cost, false /* vectorized */, PacketSize);
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| D | TensorCostModel.h | 84 double load_cost, double store_cost, double compute_cost) const { in total_cost() argument
86 compute_cost * compute_cycles_; in total_cost()
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| D | TensorStriding.h | 212 double compute_cost = (NumDims - 1) * (TensorOpCost::AddCost<Index>() +
217 compute_cost *= 2; // packet() computes two indices
222 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| D | TensorInflation.h | 204 const double compute_cost = NumDims * (3 * TensorOpCost::DivCost<Index>() +
213 compute_cost, vectorized, PacketSize);
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| D | TensorShuffling.h | 181 const double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() +
185 TensorOpCost(0, 0, compute_cost, false /* vectorized */, PacketSize);
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| D | TensorArgMax.h | 259 const double compute_cost = 1.0 +
262 m_impl.costPerCoeff(vectorized) + TensorOpCost(0, 0, compute_cost);
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| D | TensorPatch.h | 249 const double compute_cost = NumDims * (TensorOpCost::DivCost<Index>() +
253 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| D | TensorConcatenation.h | 265 const double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() +
275 TensorOpCost(0, 0, compute_cost);
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| D | TensorImagePatch.h | 441 const double compute_cost = 3 * TensorOpCost::DivCost<Index>() +
445 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| D | TensorVolumePatch.h | 499 const double compute_cost =
502 return TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| D | TensorReduction.h | 659 const double compute_cost = num_values_to_reduce * internal::functor_traits<Op>::Cost;
661 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| /external/tensorflow/tensorflow/core/grappler/clusters/ |
| D | virtual_cluster_test.cc | 89 EXPECT_EQ(1500, node.compute_cost()); in TEST_F()
91 EXPECT_EQ(2500, node.compute_cost()); in TEST_F()
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| D | single_machine_test.cc | 95 EXPECT_LE(0, node.compute_cost()); in TEST_F()
96 EXPECT_GE(run_duration_micros, node.compute_cost()); in TEST_F()
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| /external/tensorflow/tensorflow/python/grappler/ |
| D | cost_analyzer.cc | 109 double measured_cost = perf->compute_cost(); in PreprocessCosts()
146 ops[op_name].time += op_perf.compute_cost(); in AnalyzeCosts()
255 os << std::setw(width_wide) << perf.compute_cost() << ","; in PrintAnalysis()
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| /external/tensorflow/tensorflow/core/grappler/costs/ |
| D | virtual_scheduler.cc | 878 const auto& compute_cost = op_cost_pair.second.compute_time.count(); in Summary() local
887 static_cast<int64>(compute_cost), static_cast<int64>(memory_cost), in Summary()
956 const auto& compute_cost = op_cost_pair.second.compute_time.count(); in Summary() local
981 static_cast<int64>(compute_cost), in Summary()
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| D | op_performance_data.proto | 85 int64 compute_cost = 3; field
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| D | utils.cc | 322 perf->set_compute_cost(cost_node->compute_cost() * 1000); in CostGraphToOpPerformanceData()
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| D | op_level_cost_estimator.cc | 523 Costs::NanoSeconds compute_cost(std::ceil(operations / device_info.gigaops)); in PredictOpCountBasedCost() local
525 << " Compute Time (ns):" << compute_cost.count(); in PredictOpCountBasedCost()
554 costs.compute_time = compute_cost; in PredictOpCountBasedCost()
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| /external/tensorflow/tensorflow/core/framework/ |
| D | cost_graph.proto | 56 int64 compute_cost = 9; field
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| /external/tensorflow/tensorflow/core/common_runtime/ |
| D | direct_session_with_tracking_alloc_test.cc | 314 EXPECT_LE(0, node.compute_cost()); in TEST()
315 EXPECT_GE(run_duration_micros, node.compute_cost()); in TEST()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | mirror_pad_op.h | 241 const double compute_cost = Dims * (7 * TensorOpCost::AddCost<Index>() +
245 TensorOpCost(1, 0, compute_cost, vectorized, kPacketSize);
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| D | eigen_volume_patch.h | 435 const double compute_cost = 10 * TensorOpCost::DivCost<Index>() + in costPerCoeff() local
438 return TensorOpCost(0, 0, compute_cost, vectorized, PacketSize); in costPerCoeff()
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