| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | estimator_test.py | 54 def actual_loss(logits, labels): argument
62 def actual_mean(logits): argument
65 def actual_stddev(logits): argument
68 def make_distribution_fn(logits): argument
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| /external/tensorflow/tensorflow/contrib/nn/python/ops/ |
| D | cross_entropy.py | 28 def deprecated_flipped_softmax_cross_entropy_with_logits(logits, argument
75 def deprecated_flipped_sparse_softmax_cross_entropy_with_logits(logits, argument
129 def deprecated_flipped_sigmoid_cross_entropy_with_logits(logits, argument
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | target_column.py | 164 def logits_to_predictions(self, logits, proba=False): argument
168 def get_eval_ops(self, features, logits, labels, metrics=None): argument
204 def training_loss(self, logits, target, features, name="training_loss"): argument
234 def loss(self, logits, target, features): argument
274 def logits_to_predictions(self, logits, proba=False): argument
279 def get_eval_ops(self, features, logits, labels, metrics=None): argument
304 def logits_to_predictions(self, logits, proba=False): argument
318 def get_eval_ops(self, features, logits, labels, metrics=None): argument
374 def loss_fn(logits, target): argument
389 def logits_to_predictions(self, logits, proba=False): argument
[all …]
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | head.py | 154 logits=None, argument
559 def _mean_squared_loss(labels, logits, weights=None): argument
575 def _poisson_loss(labels, logits, weights=None): argument
592 def _logits(logits_input, logits, logits_dimension): argument
638 logits=None, argument
734 logits=None, argument
768 def _logits_to_predictions(self, logits): argument
792 def _log_loss_with_two_classes(labels, logits, weights=None): argument
806 def _one_class_to_two_class_logits(logits): argument
855 logits=None, argument
[all …]
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | estimator.py | 149 def loss_fn(labels, logits, weights=None): argument
163 def link_fn(logits): argument
185 def distribution(self, logits, name=None): argument
|
| D | relaxed_bernoulli.py | 145 logits=None, argument
206 def logits(self): member in RelaxedBernoulli
|
| D | relaxed_onehot_categorical.py | 140 logits=None, argument
227 def logits(self): member in ExpRelaxedOneHotCategorical
391 logits=None, argument
|
| D | geometric.py | 68 logits=None, argument
116 def logits(self): member in Geometric
|
| D | onehot_categorical.py | 97 logits=None, argument
162 def logits(self): member in OneHotCategorical
|
| D | negative_binomial.py | 65 logits=None, argument
125 def logits(self): member in NegativeBinomial
|
| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| D | mnist.py | 86 def loss(logits, labels): argument
129 def evaluation(logits, labels): argument
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | stateless_random_ops.py | 186 def stateless_multinomial(logits, argument
225 def stateless_categorical(logits, argument
263 def stateless_multinomial_categorical_impl(logits, num_samples, dtype, seed): argument
|
| D | random_ops.py | 333 def multinomial(logits, num_samples, seed=None, name=None, output_dtype=None): argument
361 def categorical(logits, num_samples, dtype=None, seed=None, name=None): argument
388 def multinomial_categorical_impl(logits, num_samples, dtype, seed): argument
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
| D | losses.py | 97 def per_example_maxent_loss(labels, weights, logits, num_classes, eps=1e-15): argument
201 def exp_with_logits(name, eps, labels=None, logits=None): argument
281 def full_exp_with_logits(name, labels=None, logits=None): argument
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | bernoulli.py | 52 logits=None, argument
104 def logits(self): member in Bernoulli
144 def _broadcast(logits, event): argument
|
| D | categorical.py | 163 logits=None, argument
250 def logits(self): member in Categorical
|
| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| D | head_impl.py | 150 def create_loss(self, features, mode, logits, labels): argument
173 self, features, mode, logits, labels=None, argument
250 def _validate_logits_and_labels(logits, labels): argument
|
| /external/tensorflow/tensorflow/contrib/losses/python/losses/ |
| D | loss_ops.py | 277 def sigmoid_cross_entropy(logits, argument
328 def softmax_cross_entropy(logits, argument
380 def sparse_softmax_cross_entropy(logits, labels, weights=1.0, scope=None): argument
456 def hinge_loss(logits, labels=None, scope=None): argument
|
| /external/tensorflow/tensorflow/examples/tf2_showcase/ |
| D | mnist.py | 125 def loss(logits, labels): argument
131 def compute_accuracy(logits, labels): argument
|
| /external/tensorflow/tensorflow/contrib/sparsemax/python/ops/ |
| D | sparsemax.py | 30 def sparsemax(logits, name=None): argument
|
| D | sparsemax_loss.py | 28 def sparsemax_loss(logits, sparsemax, labels, name=None): argument
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| /external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
| D | losses.py | 32 logits, argument
|
| /external/tensorflow/tensorflow/python/ops/losses/ |
| D | losses_impl.py | 321 def hinge_loss(labels, logits, weights=1.0, scope=None, argument
656 multi_class_labels, logits, weights=1.0, label_smoothing=0, scope=None, argument
720 onehot_labels, logits, weights=1.0, label_smoothing=0, scope=None, argument
842 labels, logits, weights=1.0, scope=None, argument
|
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | softmax_op.cc | 53 auto logits = ctx->Input(0); in Compile() local
93 xla::XlaOp logits, xla::XlaOp labels) { in CrossEntropyWithLogits()
162 auto logits = ctx->Input(0); in Compile() local
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | xent_op_test.cc | 26 Tensor logits(DT_FLOAT, TensorShape({batch_size, num_classes})); in Xent() local
|