/external/tensorflow/tensorflow/core/kernels/boosted_trees/quantiles/ |
D | weighted_quantiles_summary.h | 48 max_rank = max; in SummaryEntry() 57 max_rank = 0; in SummaryEntry() 62 min_rank == other.min_rank && max_rank == other.max_rank; 67 << entry.min_rank << ", " << entry.max_rank << "}"; 71 WeightType PrevMaxRank() const { return max_rank - weight; } in PrevMaxRank() 79 WeightType max_rank; member 146 it1->max_rank + it2->PrevMaxRank()); in Merge() 155 it2->max_rank + it1->PrevMaxRank()); in Merge() 163 it1->max_rank + it2->max_rank); in Merge() 176 it1->max_rank + other_entries.back().max_rank); in Merge() [all …]
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/external/tensorflow/tensorflow/contrib/boosted_trees/lib/quantiles/ |
D | weighted_quantiles_summary.h | 42 max_rank = max; in SummaryEntry() 49 max_rank = 0; in SummaryEntry() 54 min_rank == other.min_rank && max_rank == other.max_rank; 59 << entry.min_rank << ", " << entry.max_rank << "}"; 63 WeightType PrevMaxRank() const { return max_rank - weight; } in PrevMaxRank() 71 WeightType max_rank; member 138 it1->max_rank + it2->PrevMaxRank()); in Merge() 147 it2->max_rank + it1->PrevMaxRank()); in Merge() 155 it1->max_rank + it2->max_rank); in Merge() 168 it1->max_rank + other_entries.back().max_rank); in Merge() [all …]
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | cwise_ops.cc | 69 int max_rank = std::max(lhs_shape.dims(), rhs_shape.dims()); in Compile() local 71 if (min_rank != max_rank) { in Compile() 75 extend_dimension.push_back(max_rank - min_rank + i); in Compile()
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
D | gpu_fusible.cc | 49 int64 max_rank = -1; in LayoutsAreReduceInputFusionFriendly() local 52 if (param->shape().IsArray() && param->shape().rank() > max_rank) { in LayoutsAreReduceInputFusionFriendly() 53 max_rank = param->shape().rank(); in LayoutsAreReduceInputFusionFriendly() 58 return (!param->shape().IsArray()) || (param->shape().rank() < max_rank) || in LayoutsAreReduceInputFusionFriendly()
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/external/tensorflow/tensorflow/core/grappler/optimizers/data/vectorization/ |
D | cwise_op_vectorizer.cc | 69 Output max_rank = ops::Maximum(scope, rank_0, rank_1); in ExpandDimsForBroadcast() local 73 [&scope, &max_rank](const WrappedTensor& tensor, const Output& rank) { in ExpandDimsForBroadcast() 79 Output rank_diff = ops::Sub(scope, max_rank, rank); in ExpandDimsForBroadcast()
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_BoostedTreesQuantileStreamResourceAddSummaries.pbtxt | 19 summary Tensor is rank 2, containing summaries (value, weight, min_rank, max_rank)
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D | api_def_BoostedTreesMakeQuantileSummaries.pbtxt | 26 (value, weight, min_rank, max_rank) of a single feature.
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/external/tensorflow/tensorflow/contrib/boosted_trees/proto/ |
D | quantiles.proto | 23 float max_rank = 4; field
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/external/tensorflow/tensorflow/core/kernels/boosted_trees/ |
D | quantile_ops.cc | 197 output(row, 3) = entry.max_rank; in Compute() 254 float max_rank = summary_values(i, 3); in Compute() local 255 QuantileSummaryEntry entry(value, weight, min_rank, max_rank); in Compute()
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/external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
D | quantile_ops.cc | 216 new_entry->set_max_rank(entry.max_rank); in CopySummaryToProto() 333 entry.min_rank(), entry.max_rank()); in Compute() 558 entry.max_rank()); in Compute()
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | pfor.py | 709 max_rank = ranks[0] 711 max_rank = math_ops.maximum(rank, max_rank) 716 rank_diff = array_ops.reshape(max_rank - ranks[i], [1])
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/external/tensorflow/tensorflow/core/grappler/costs/ |
D | graph_properties.cc | 1905 const int64 max_rank = 4; in PropagateShapes() local 1907 max_rank * max_loop_length * std::max<int64>(1, num_loops * num_loops); in PropagateShapes() 1909 const int64 max_resource_iterations = num_queues * num_queues * max_rank; in PropagateShapes()
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/external/tensorflow/tensorflow/compiler/tests/ |
D | randomized_tests.cc | 296 int max_rank = kDefaultMaxRank, 443 std::vector<int64> OpTest::RandomDims(int min_rank, int max_rank, in RandomDims() argument 446 CHECK_LE(min_rank, max_rank); in RandomDims() 447 std::uniform_int_distribution<int> rank_distribution(min_rank, max_rank); in RandomDims()
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