| /external/skia/src/pathops/ | 
| D | SkReduceOrder.cpp | 24 static int coincident_line(const SkDQuad& quad, SkDQuad& reduction) {  in coincident_line() 29 static int reductionLineCount(const SkDQuad& reduction) {  in reductionLineCount() 33 static int vertical_line(const SkDQuad& quad, SkDQuad& reduction) {  in vertical_line() 39 static int horizontal_line(const SkDQuad& quad, SkDQuad& reduction) {  in horizontal_line() 46         int minX, int maxX, int minY, int maxY, SkDQuad& reduction) {  in check_linear() 110 static int coincident_line(const SkDCubic& cubic, SkDCubic& reduction) {  in coincident_line() 115 static int reductionLineCount(const SkDCubic& reduction) {  in reductionLineCount() 119 static int vertical_line(const SkDCubic& cubic, SkDCubic& reduction) {  in vertical_line() 125 static int horizontal_line(const SkDCubic& cubic, SkDCubic& reduction) {  in horizontal_line() 132 static int check_quadratic(const SkDCubic& cubic, SkDCubic& reduction) {  in check_quadratic() [all …] 
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| /external/tensorflow/tensorflow/python/ops/losses/ | 
| D | losses_impl.py | 140     reduction=Reduction.SUM_BY_NONZERO_WEIGHTS):  argument 179     def compute_loss(losses, weights, loss_collection, reduction):  argument 220     reduction=Reduction.SUM_BY_NONZERO_WEIGHTS):  argument 275     reduction=Reduction.SUM_BY_NONZERO_WEIGHTS,  argument 330                reduction=Reduction.SUM_BY_NONZERO_WEIGHTS):  argument 381                reduction=Reduction.SUM_BY_NONZERO_WEIGHTS):  argument 458              reduction=Reduction.SUM_BY_NONZERO_WEIGHTS):  argument 625     reduction=Reduction.SUM_BY_NONZERO_WEIGHTS):  argument 775     reduction=Reduction.SUM_BY_NONZERO_WEIGHTS):  argument 841     reduction=Reduction.SUM_BY_NONZERO_WEIGHTS):  argument [all …] 
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| /external/tensorflow/tensorflow/python/keras/ | 
| D | losses.py | 87   def __init__(self, reduction=losses_utils.ReductionV2.AUTO, name=None):  argument 221                reduction=losses_utils.ReductionV2.AUTO,  argument 308                reduction=losses_utils.ReductionV2.AUTO,  argument 366                reduction=losses_utils.ReductionV2.AUTO,  argument 425                reduction=losses_utils.ReductionV2.AUTO,  argument 486                reduction=losses_utils.ReductionV2.AUTO,  argument 575                reduction=losses_utils.ReductionV2.AUTO,  argument 659                reduction=losses_utils.ReductionV2.AUTO,  argument 743                reduction=losses_utils.ReductionV2.AUTO,  argument 810   def __init__(self, reduction=losses_utils.ReductionV2.AUTO, name='hinge'):  argument [all …] 
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| /external/tensorflow/tensorflow/python/ops/ | 
| D | nccl_ops.py | 208 def _apply_all_reduce(reduction, tensors):  argument 237 def _apply_reduce(reduction, tensors):  argument
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| D | collective_ops.py | 468                   reduction='Add',  argument
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| /external/tensorflow/tensorflow/compiler/xla/service/ | 
| D | all_reduce_combiner_test.cc | 67     HloComputation* reduction = reductions[i];  in MakeCrossReplicaReductions()  local 92   HloComputation* reduction =  in MakeReduction()  local 214   HloComputation* reduction = MakeReduction(HloOpcode::kAdd, module.get());  in TEST_F()  local 241   HloComputation* reduction = MakeReduction(HloOpcode::kAdd, module.get());  in TEST_F()  local
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| D | all_gather_decomposer.cc | 51   HloComputation* reduction = module->AddEmbeddedComputation(sum_b.Build());  in MakeBinaryAdd()  local
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| D | all_reduce_combiner.cc | 57   HloComputation* reduction = to_combine[0]->to_apply();  in CombineAllReduces()  local
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| D | reduce_scatter_combiner.cc | 59   HloComputation* reduction = to_combine[0]->to_apply();  in CombineReduceScatters()  local
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| D | bfloat16_normalization_test.cc | 247   HloComputation* reduction =  in TEST_F()  local
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| D | hlo_module_test.cc | 411   HloComputation* reduction = root->to_apply();  in TEST_F()  local
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| /external/tensorflow/tensorflow/python/keras/utils/ | 
| D | losses_utils.py | 265                          reduction=ReductionV2.SUM_OVER_BATCH_SIZE):  argument 279                           reduction=ReductionV2.SUM_OVER_BATCH_SIZE,  argument
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| /external/tensorflow/tensorflow/core/kernels/ | 
| D | sparse_reduce_op.cc | 59   ReduceDetails reduction;  in SparseTensorReduceHelper()  local 184     ReduceDetails reduction = SparseTensorReduceHelper(  in Compute()  local 290     ReduceDetails reduction = SparseTensorReduceHelper(  in Compute()  local
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| D | segment_reduction_ops_test.cc | 42                                         const string& reduction, int num_rows,  in BM_UnsortedSegmentReduction() 111                                 const string& reduction, Index num_rows,  in BM_SegmentReduction()
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| D | nccl_ops.cc | 68     string reduction;  in NcclReduceOpBase()  local
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| /external/armnn/src/armnnTfLiteParser/test/ | 
| D | L2Normalization.cpp | 69     const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f,  in CalcL2Norm()  local
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| /external/ComputeLibrary/tests/validation/NEON/ | 
| D | ReductionOperation.cpp | 125     NEReductionOperation reduction;  variable
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| /external/tensorflow/tensorflow/python/tpu/ | 
| D | tpu_optimizer.py | 34                reduction=losses.Reduction.MEAN,  argument
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| /external/armnn/src/backends/reference/workloads/ | 
| D | RefL2NormalizationWorkload.cpp | 85                     float reduction = 0.0;  in Execute()  local
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| /external/tensorflow/tensorflow/core/nccl/ | 
| D | nccl_rewrite.cc | 32   string reduction;  in ReplaceReduce()  local
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| /external/tensorflow/tensorflow/compiler/xla/mlir_hlo/lib/Dialect/mhlo/transforms/ | 
| D | hlo_legalize_shape_ops_to_standard.cc | 135     auto reduction = rewriter.create<shape::ReduceOp>(  in matchAndRewrite()  local
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| /external/skia/src/core/ | 
| D | SkStroke.cpp | 677         SkPoint* reduction) {  in CheckConicLinear() 700         SkPoint* reduction) {  in CheckQuadLinear() 722     SkPoint reduction;  in conicTo()  local 760     SkPoint reduction;  in quadTo()  local 1280     SkPoint reduction[3];  in cubicTo()  local
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| /external/tensorflow/tensorflow/compiler/mlir/tfrt/jit/transforms/ | 
| D | tf_jitrt_tile_reduction.cc | 69   auto reduction = mlir::dyn_cast<GenericOp>(op);  in isCanonicalizedReduction()  local
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| /external/python/cpython3/Lib/multiprocessing/ | 
| D | context.py | 210     def reducer(self, reduction):  argument
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| /external/armnn/src/backends/backendsCommon/test/layerTests/ | 
| D | L2NormalizationTestImpl.cpp | 104     const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f,  in CalcInvL2Norm()  local
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