/external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
H A D | estimator.py | 35 logits_dimension=None, 48 logits_dimension: Number of logits per example. This is the size of the last 50 `[batch_size, logits_dimension]`). 70 logits_dimension=logits_dimension, 83 logits_dimension=None, 96 logits_dimension: Number of logits per example. This is the size of the 98 `[batch_size, logits_dimension]`). 157 logits_dimension=logits_dimension, [all...] |
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
H A D | head.py | 76 last_hidden_layer_out, head.logits_dimension, activation_fn=None) 128 def logits_dimension(self): member in class:Head 131 Typically, logits is of shape `[batch_size, logits_dimension]`. 492 self, problem_type, logits_dimension, label_name=None, 496 if logits_dimension is None or logits_dimension < 1: 497 raise ValueError("Invalid logits_dimension %s." % logits_dimension) 499 self._logits_dimension = logits_dimension 505 def logits_dimension(sel member in class:_SingleHead 1451 def logits_dimension(self): member in class:_LossOnlyHead 1571 def logits_dimension(self): member in class:_MultiHead [all...] |
H A D | composable_model_test.py | 80 num_label_columns=head.logits_dimension), 94 num_label_columns=head.logits_dimension, _joint_weights=True), 108 num_label_columns=head.logits_dimension,
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H A D | debug.py | 104 logits = array_ops.zeros([batch_size, head.logits_dimension])
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H A D | dnn_linear_combined.py | 271 head.logits_dimension, 296 num_outputs=head.logits_dimension, 303 num_outputs=head.logits_dimension, 310 units=head.logits_dimension,
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H A D | linear.py | 162 num_outputs=head.logits_dimension, 169 units=head.logits_dimension, 233 assert head.logits_dimension == 1, ("SDCA only applies for " 234 "logits_dimension=1.")
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H A D | dnn.py | 182 head.logits_dimension,
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/external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
H A D | model.py | 95 logits_dimension=head.logits_dimension,
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H A D | dnn_tree_combined_estimator.py | 163 head.logits_dimension, 203 logits_dimension=head.logits_dimension,
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/external/tensorflow/tensorflow/python/estimator/canned/ |
H A D | dnn_testing_utils.py | 127 def mock_head(testcase, hidden_units, logits_dimension, expected_logits): 158 head.logits_dimension = logits_dimension 227 def _test_logits(self, mode, hidden_units, logits_dimension, inputs, 235 logits_dimension=logits_dimension, 280 logits_dimension=1, 307 logits_dimension=3, 338 logits_dimension=3, 365 logits_dimension [all...] |
H A D | dnn_linear_combined.py | 162 units=head.logits_dimension, 184 units=head.logits_dimension,
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H A D | baseline.py | 161 logit_fn = _baseline_logit_fn_builder(head.logits_dimension, weight_column)
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H A D | head_test.py | 152 self.assertEqual(n_classes, head.logits_dimension) 179 self.assertEqual(n_classes, head.logits_dimension) 215 self.assertEqual(n_classes, head.logits_dimension) 244 self.assertEqual(n_classes, head.logits_dimension) 274 self.assertEqual(n_classes, head.logits_dimension) 293 self.assertEqual(n_classes, head.logits_dimension) 335 self.assertEqual(n_classes, head.logits_dimension) 1329 self.assertEqual(1, head.logits_dimension) 1355 self.assertEqual(1, head.logits_dimension) 1388 self.assertEqual(1, head.logits_dimension) [all...] |
H A D | head.py | 93 last_hidden_layer_out, head.logits_dimension, activation_fn=None) 138 def logits_dimension(self): member in class:_Head 141 Typically, logits is of shape `[batch_size, logits_dimension]`. 207 Consider logits of shape [D0, D1, ... DN, logits_dimension]. Then labels 278 Consider logits of shape [D0, D1, ... DN, logits_dimension]. Weights shape 280 * [D0, D1, ... DN, logits_dimension] if `allow_per_logit_weights=True`. 290 dimension, namely shape `[D0, D1, ... DN, logits_dimension]`. 299 '[D0, D1, ... DN, logits_dimension]') 353 """Checks that logits shape is [D0, D1, ... DN, logits_dimension].""" 359 message='logits shape must be [D0, D1, ... DN, logits_dimension]') 622 def logits_dimension(self): member in class:_MultiClassHeadWithSoftmaxCrossEntropyLoss 919 def logits_dimension(self): member in class:_BinaryLogisticHeadWithSigmoidCrossEntropyLoss 1238 def logits_dimension(self): member in class:_RegressionHeadWithMeanSquaredErrorLoss [all...] |
H A D | dnn.py | 178 units=head.logits_dimension,
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H A D | linear.py | 120 labels: `Tensor` of shape `[batch_size, logits_dimension]`. 157 units=head.logits_dimension, feature_columns=feature_columns)
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/external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
H A D | multi_head.py | 80 `[D0, D1, ... DN, logits_dimension]`. It will split the `Tensor` along the 91 logits = logit_fn(logits_dimension=head.logits_dimension) 170 self._logits_dimension += head.logits_dimension 180 def logits_dimension(self): member in class:_MultiHead 276 [minus_ones_like_batch_shape, [head.logits_dimension]], axis=0) 279 begin_idx += head.logits_dimension
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H A D | head.py | 350 def logits_dimension(self): member in class:_MultiLabelHead 398 expected_labels_dimension=self.logits_dimension) 448 logits = head_lib._check_logits_final_dim(logits, self.logits_dimension) # pylint:disable=protected-access
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/external/tensorflow/tensorflow/contrib/boosted_trees/python/training/functions/ |
H A D | gbdt_batch_test.py | 167 logits_dimension=1, features=features) 271 logits_dimension=1, features=features) 374 logits_dimension=1, features=features) 445 logits_dimension=1, features=features) 508 logits_dimension=1, features=features) 591 logits_dimension=1, features=features) 630 logits_dimension=5, features=features) 733 logits_dimension=5, features=features) 836 logits_dimension=5, features=features)
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H A D | gbdt_batch.py | 260 logits_dimension, 274 logits_dimension: An int, the dimension of logits. 289 self._logits_dimension = logits_dimension 299 if logits_dimension == 1:
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/external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
H A D | sdca_estimator.py | 130 assert head.logits_dimension == 1, ( 131 "SDCA only applies to logits_dimension=1.") 259 assert head.logits_dimension == 1
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
H A D | estimator_test.py | 75 logits_dimension=2)
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/external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
H A D | head_impl.py | 113 def logits_dimension(self): member in class:GANHead
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/external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
H A D | training_ops.cc | 218 const int64 logits_dimension = delta_updates_t->dim_size(0); variable 222 RetrieveBias(ensemble_resource, logits_dimension); 253 int64 logits_dimension) { 261 for (size_t idx = 0; idx < logits_dimension; ++idx) { 251 RetrieveBias( boosted_trees::models::DecisionTreeEnsembleResource* ensemble_resource, int64 logits_dimension) argument
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/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
H A D | head.py | 105 def logits_dimension(self): member in class:_TimeSeriesRegressionHead
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