| /external/tensorflow/tensorflow/core/grappler/clusters/ |
| virtual_cluster_test.cc | 89 EXPECT_EQ(1500, node.compute_cost());
91 EXPECT_EQ(2500, node.compute_cost());
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| single_machine_test.cc | 95 EXPECT_LE(0, node.compute_cost());
96 EXPECT_GE(run_duration_micros, node.compute_cost());
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| /external/tensorflow/tensorflow/core/grappler/costs/ |
| op_performance_data.proto | 81 int64 compute_cost = 3;
|
| op_level_cost_estimator.cc | 420 Costs::NanoSeconds compute_cost(std::ceil(operations / device_perf.gigaops));
422 << " Execution Time (ns):" << compute_cost.count();
437 costs.compute_time = compute_cost;
440 costs.execution_time = std::max(compute_cost, memory_cost);
442 costs.execution_time = compute_cost + memory_cost;
[all...] |
| utils.cc | 278 // Note that CostGraphDef::Node::compute_cost is microseconds, while
279 // OpPerformance.compute_cost is nanoseconds.
280 perf->set_compute_cost(cost_node->compute_cost() * 1000);
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| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| 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);
|
| TensorCostModel.h | 84 double load_cost, double store_cost, double compute_cost) const {
86 compute_cost * compute_cycles_;
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| TensorReverse.h | 213 double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() + local
218 compute_cost += 2 * TensorOpCost::AddCost<Index>();
222 TensorOpCost(0, 0, compute_cost, false /* vectorized */, PacketSize);
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| TensorStriding.h | 212 double compute_cost = (NumDims - 1) * (TensorOpCost::AddCost<Index>() + local
217 compute_cost *= 2; // packet() computes two indices
222 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| TensorArgMax.h | 259 const double compute_cost = 1.0 + local
262 m_impl.costPerCoeff(vectorized) + TensorOpCost(0, 0, compute_cost);
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| TensorInflation.h | 204 const double compute_cost = NumDims * (3 * TensorOpCost::DivCost<Index>() + local
213 compute_cost, vectorized, PacketSize);
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| TensorShuffling.h | 181 const double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() + local
185 TensorOpCost(0, 0, compute_cost, false /* vectorized */, PacketSize);
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| TensorPatch.h | 249 const double compute_cost = NumDims * (TensorOpCost::DivCost<Index>() + local
253 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| TensorConcatenation.h | 265 const double compute_cost = NumDims * (2 * TensorOpCost::AddCost<Index>() + local
275 TensorOpCost(0, 0, compute_cost);
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| TensorImagePatch.h | 441 const double compute_cost = 3 * TensorOpCost::DivCost<Index>() + local
445 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| TensorVolumePatch.h | 499 const double compute_cost = local
502 return TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
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| TensorReduction.h | 659 const double compute_cost = num_values_to_reduce * internal::functor_traits<Op>::Cost; local
661 TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
[all...] |
| /external/tensorflow/tensorflow/python/grappler/ |
| cost_analyzer.cc | 103 double measured_cost = perf->compute_cost();
141 ops[op_name].time += op_perf.compute_cost();
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| /external/tensorflow/tensorflow/core/common_runtime/ |
| direct_session_with_tracking_alloc_test.cc | 298 EXPECT_LE(0, node.compute_cost());
299 EXPECT_GE(run_duration_micros, node.compute_cost());
|
| /external/tensorflow/tensorflow/core/kernels/ |
| mirror_pad_op.h | 240 const double compute_cost = Dims * (7 * TensorOpCost::AddCost<Index>() +
244 TensorOpCost(1, 0, compute_cost, vectorized, kPacketSize);
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| eigen_volume_patch.h | 434 const double compute_cost = 10 * TensorOpCost::DivCost<Index>() + local
437 return TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);
|
