| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| D | sdca_ops_test.py | 256 loss_type='logistic_loss')
304 loss_type='logistic_loss')
366 loss_type='logistic_loss')
407 loss_type='logistic_loss')
438 loss_type='logistic_loss')
477 loss_type='logistic_loss',
539 loss_type='logistic_loss')
597 loss_type='logistic_loss')
637 loss_type='logistic_loss')
674 loss_type='logistic_loss')
[all …]
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | sdca_ops.cc | 69 string loss_type; in ComputeOptions() local
70 OP_REQUIRES_OK(context, context->GetAttr("loss_type", &loss_type)); in ComputeOptions()
71 if (loss_type == "logistic_loss") { in ComputeOptions()
73 } else if (loss_type == "squared_loss") { in ComputeOptions()
75 } else if (loss_type == "hinge_loss") { in ComputeOptions()
77 } else if (loss_type == "smooth_hinge_loss") { in ComputeOptions()
79 } else if (loss_type == "poisson_loss") { in ComputeOptions()
84 errors::InvalidArgument("Unsupported loss type: ", loss_type)); in ComputeOptions()
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| /external/iproute2/tc/ |
| D | q_netem.c | 185 __u16 loss_type = NETEM_LOSS_UNSPEC; in netem_parse_opt() local
222 if (opt.loss > 0 || loss_type != NETEM_LOSS_UNSPEC) { in netem_parse_opt()
262 loss_type = NETEM_LOSS_GI; in netem_parse_opt()
306 loss_type = NETEM_LOSS_GE; in netem_parse_opt()
454 if (opt.loss <= 0 && loss_type == NETEM_LOSS_UNSPEC) { in netem_parse_opt()
487 if (loss_type != NETEM_LOSS_UNSPEC) { in netem_parse_opt()
491 if (loss_type == NETEM_LOSS_GI) { in netem_parse_opt()
495 } else if (loss_type == NETEM_LOSS_GE) { in netem_parse_opt()
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| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| D | sdca_estimator.py | 121 loss_type = None
123 loss_type = "hinge_loss"
125 loss_type = "logistic_loss"
127 loss_type = "squared_loss"
162 columns_to_variables, weight_column_name, loss_type, features, labels,
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| D | sdca_optimizer.py | 118 def get_train_step(self, columns_to_variables, weight_column_name, loss_type, argument
276 loss_type=loss_type))
|
| /external/webrtc/webrtc/modules/rtp_rtcp/test/testFec/ |
| D | test_packet_masks_metrics.cc | 97 LossModelType loss_type; member
258 if (loss_model_[k].loss_type == kRandomLossModel) { in ComputeProbabilityWeight()
267 assert(loss_model_[k].loss_type == kBurstyLossModel); in ComputeProbabilityWeight()
606 loss_model_[num_loss_models].loss_type = kRandomLossModel; in SetLossModels()
608 loss_model_[num_loss_models].loss_type = kBurstyLossModel; in SetLossModels()
815 if (loss_model_[k].loss_type == kRandomLossModel) { in TEST_F()
818 } else if (loss_model_[k].loss_type == kBurstyLossModel) { in TEST_F()
849 if (loss_model_[k].loss_type == kRandomLossModel && in TEST_F()
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | linear.py | 234 loss_type = "hinge_loss"
236 loss_type = "logistic_loss"
240 loss_type = "squared_loss"
265 loss_type, features,
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.estimator.experimental.-linear-s-d-c-a.pbtxt | 11 …argspec: "args=[\'self\', \'state_manager\', \'weight_column_name\', \'loss_type\', \'feature_colu…
|
| D | tensorflow.train.pbtxt | 101 …ces\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\…
|
| D | tensorflow.raw_ops.pbtxt | 3229 …ces\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\…
3233 …ces\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\…
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.estimator.experimental.-linear-s-d-c-a.pbtxt | 11 …argspec: "args=[\'self\', \'state_manager\', \'weight_column_name\', \'loss_type\', \'feature_colu…
|
| D | tensorflow.train.pbtxt | 429 …ces\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\…
|
| D | tensorflow.raw_ops.pbtxt | 3229 …ces\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\…
3233 …ces\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\…
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| D | sdca_ops.py | 517 loss_type=self._options['loss_type'],
536 loss_type=self._options['loss_type'],
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SdcaOptimizerV2.pbtxt | 93 name: "loss_type"
|
| D | api_def_SdcaOptimizer.pbtxt | 92 name: "loss_type"
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_utils.py | 506 loss_type = loss.fn if is_loss_wrapper else type(loss)
507 loss_name = loss_type.__name__
|
| /external/tensorflow/tensorflow/go/op/ |
| D | wrappers.go | 8490 …s []tf.Output, dense_weights []tf.Output, example_state_data tf.Output, loss_type string, l1 float…
8494 …attrs := map[string]interface{}{"loss_type": loss_type, "l1": l1, "l2": l2, "num_loss_partitions":…
16274 …s []tf.Output, dense_weights []tf.Output, example_state_data tf.Output, loss_type string, l1 float…
16278 …attrs := map[string]interface{}{"loss_type": loss_type, "l1": l1, "l2": l2, "num_loss_partitions":…
|
| /external/tensorflow/tensorflow/core/ops/ |
| D | ops.pbtxt | 33535 name: "loss_type"
33654 name: "loss_type"
|
| /external/tensorflow/tensorflow/core/ops/compat/ |
| D | ops_history.v1.pbtxt | 67850 name: "loss_type"
67968 name: "loss_type"
68087 name: "loss_type"
|
| D | ops_history.v2.pbtxt | 67223 name: "loss_type"
67341 name: "loss_type"
67460 name: "loss_type"
|
| D | ops_history.v0.pbtxt | 29596 name: "loss_type"
|