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/external/tensorflow/tensorflow/contrib/metrics/python/ops/
Dmetric_ops_test.py176 _, update_op = metrics.streaming_mean(
178 self.assertListEqual(ops.get_collection(my_collection_name), [update_op])
190 mean, update_op = metrics.streaming_mean(values)
194 sess.run(update_op)
207 mean, update_op = metrics.streaming_mean(values)
211 self.assertAlmostEqual(0.5, sess.run(update_op), 5)
212 self.assertAlmostEqual(1.475, sess.run(update_op), 5)
213 self.assertAlmostEqual(12.4 / 6.0, sess.run(update_op), 5)
214 self.assertAlmostEqual(1.65, sess.run(update_op), 5)
238 mean, update_op = metrics.streaming_mean(values, weights)
[all …]
Dmetric_ops.py584 update_op = compute_fpr(false_positives_update_op, true_negatives_update_op,
591 ops.add_to_collections(updates_collections, update_op)
593 return fpr, update_op
672 update_op = compute_fnr(false_negatives_update_op, true_positives_update_op,
679 ops.add_to_collections(updates_collections, update_op)
681 return fnr, update_op
962 update_op = control_flow_ops.group(*update_ops.values())
968 ops.add_to_collections(updates_collections, update_op)
970 return points, update_op
1221 update_op = control_flow_ops.group(update_labels, update_preds,
[all …]
Dhistogram_ops.py89 hist_true_acc, hist_false_acc, update_op = _auc_hist_accumulate(hist_true,
94 return auc, update_op
170 update_op = control_flow_ops.group(
175 return hist_true_acc, hist_false_acc, update_op
Dmetric_ops_large_test.py44 result, update_op = metric_ops.precision_recall_at_equal_thresholds(
53 sess.run(update_op)
/external/tensorflow/tensorflow/contrib/opt/python/training/
Dvariable_clipping_optimizer_test.py78 update_op = clip_opt.apply_gradients(
81 return var0, var1, update_op
83 def _assertDenseCorrect(self, var0, var1, update_op): argument
89 update_op.run()
118 update_op = clip_opt.apply_gradients(
121 return var0, var1, update_op
123 def _assertSparseCorrect(self, var0, var1, update_op): argument
131 update_op.run()
162 var0, var1, update_op = self._setupDense(False, dtype)
163 self._assertDenseCorrect(var0, var1, update_op)
[all …]
Dvariable_clipping_optimizer.py94 update_op = self._opt.apply_gradients(
97 with ops.control_dependencies([update_op]):
108 return control_flow_ops.group(*([update_op] + clip_update_ops), name=name)
/external/tensorflow/tensorflow/python/kernel_tests/
Dmetrics_test.py194 _, update_op = metrics.mean(
196 self.assertListEqual(ops.get_collection(my_collection_name), [update_op])
209 mean, update_op = metrics.mean(values)
213 self.evaluate(update_op)
227 mean, update_op = metrics.mean(values)
231 self.assertAlmostEqual(0.5, self.evaluate(update_op), 5)
232 self.assertAlmostEqual(1.475, self.evaluate(update_op), 5)
233 self.assertAlmostEqual(12.4 / 6.0, self.evaluate(update_op), 5)
234 self.assertAlmostEqual(1.65, self.evaluate(update_op), 5)
266 mean, update_op = mean_result
[all …]
/external/tensorflow/tensorflow/contrib/tensor_forest/client/
Deval_metrics_test.py34 in_top_2_op, update_op = top_2_fn(probabilities, targets)
40 update_op.eval()
51 in_top_3_op, update_op = top_3_fn(probabilities, targets)
57 update_op.eval()
63 accuracy_op, update_op = eval_metrics._accuracy(predictions, targets)
68 update_op.eval()
76 r2_op, update_op = eval_metrics._r2(scores, targets)
82 update_op.eval()
/external/tensorflow/tensorflow/python/ops/
Dmetrics_impl.py276 update_op = state_ops.assign_add(total_cm, current_cm)
277 return total_cm, update_op
387 update_op = math_ops.div_no_nan(
391 ops.add_to_collections(updates_collections, update_op)
393 return mean_t, update_op
825 update_op = compute_auc(update_ops['tp'], update_ops['fn'],
829 ops.add_to_collections(updates_collections, update_op)
831 return auc_value, update_op
955 mean_distance, update_op = mean(radial_diffs, weights, None, None, name or
958 update_op = math_ops.subtract(1.0, update_op)
[all …]
/external/tensorflow/tensorflow/python/keras/
Dmetrics_confusion_matrix_test.py61 update_op = fp_obj.update_state(y_true, y_pred)
62 self.evaluate(update_op)
86 update_op = fp_obj.update_state(y_true, y_pred)
87 self.evaluate(update_op)
141 update_op = fn_obj.update_state(y_true, y_pred)
142 self.evaluate(update_op)
166 update_op = fn_obj.update_state(y_true, y_pred)
167 self.evaluate(update_op)
209 update_op = tn_obj.update_state(y_true, y_pred)
210 self.evaluate(update_op)
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Dmetrics_test.py66 update_op = m.update_state(ops.convert_n_to_tensor([1, 5]))
67 self.evaluate(update_op)
186 update_op = m.update_state(ops.convert_n_to_tensor([1, 5]))
187 self.evaluate(update_op)
312 update_op = acc_obj.update_state([[1], [2], [3], [4]], [[1], [2], [3], [4]])
313 self.evaluate(update_op)
340 update_op = acc_obj.update_state([[1], [0]], [[1], [0]])
341 self.evaluate(update_op)
346 update_op = acc_obj.update_state([[1], [1]], [[[1]], [[0]]])
347 self.evaluate(update_op)
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/external/tensorflow/tensorflow/python/training/
Doptimizer.py99 def update_op(self, optimizer, g): member in _OptimizableVariable
116 def update_op(self, optimizer, g): member in _RefVariableProcessor
118 update_op = optimizer._apply_dense(g, self._v) # pylint: disable=protected-access
120 with ops.control_dependencies([update_op]):
123 return update_op
143 def update_op(self, optimizer, g): member in _DenseReadResourceVariableProcessor
145 update_op = optimizer._resource_apply_dense(g, self._v.op.inputs[0])
147 with ops.control_dependencies([update_op]):
150 return update_op
162 def update_op(self, optimizer, g): member in _DenseResourceVariableProcessor
[all …]
Devaluation_test.py121 update_op = accuracy.update_state(labels, predictions)
127 eval_ops=update_op,
128 final_ops={'accuracy': (accuracy.result(), update_op)},
154 update_op = accuracy.update_state(labels, predictions)
160 eval_ops=update_op,
162 'accuracy': (accuracy.result(), update_op),
/external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/
Dmodel.py137 update_op = gbdt_model.train(loss, predictions_dict, labels)
139 [update_op]), (ops.colocate_with(global_step)):
140 update_op = state_ops.assign_add(global_step, 1).op
141 return update_op
355 update_op = gbdt_model_main.train(loss, predictions_dict, labels)
357 [update_op]), (ops.colocate_with(global_step)):
358 update_op = state_ops.assign_add(global_step, 1).op
359 return update_op
/external/tensorflow/tensorflow/contrib/layers/python/layers/
Doptimizers_test.py316 update_op = state_ops.assign(update_var, 20)
322 update_ops=[update_op])
341 update_op = state_ops.assign(update_var, 20)
350 update_ops=[update_op])
362 update_op = state_ops.assign(update_var, 20)
368 update_ops=[update_op])
385 update_op = state_ops.assign(update_var, 20)
391 update_ops=[update_op])
408 update_op = state_ops.assign(update_var, 20)
414 update_ops=[update_op],
[all …]
Dtarget_column_test.py92 accuracy_op, update_op = eval_dict["accuracy/threshold_0.500000_mean"]
95 sess.run(update_op)
134 loss_op, update_op = eval_dict["loss"]
137 sess.run(update_op)
/external/tensorflow/tensorflow/contrib/optimizer_v2/
Doptimizer_v2.py55 def update_op(self, optimizer, g, *args): member in _OptimizableVariable
69 def update_op(self, optimizer, g, *args): member in _RefVariableProcessor
71 update_op = optimizer._apply_dense(g, self._v, *args) # pylint: disable=protected-access
73 with ops.control_dependencies([update_op]):
76 return update_op
96 def update_op(self, optimizer, g, *args): member in _DenseReadResourceVariableProcessor
98 update_op = optimizer._resource_apply_dense(g, self._v.op.inputs[0], *args)
100 with ops.control_dependencies([update_op]):
103 return update_op
115 def update_op(self, optimizer, g, *args): member in _DenseResourceVariableProcessor
[all …]
/external/tensorflow/tensorflow/contrib/slim/python/slim/
Devaluation_test.py91 value_op, update_op = metrics.accuracy(
128 eval_op=update_op,
201 value_op, update_op = metrics.accuracy(
220 '', chkpt_dir, logdir, eval_op=update_op, final_op=value_op,
263 value_op, update_op = metrics.accuracy(
268 '', checkpoint_path, log_dir, eval_op=update_op, final_op=value_op)
279 value_op, update_op = metrics.accuracy(
287 '', checkpoint_path, log_dir, eval_op=update_op, final_op=value_op,
/external/tensorflow/tensorflow/contrib/mixed_precision/python/
Dloss_scale_manager.py170 update_op = state_ops.assign(self._loss_scale, new_loss_scale)
172 return control_flow_ops.group(update_op, self._reset_stats())
183 update_op = state_ops.assign(
187 return control_flow_ops.group(update_op, self._reset_stats())
Dloss_scale_manager_test.py47 update_op = update_fn()
52 self.evaluate(update_op)
78 update_op = update_fn()
83 self.evaluate(update_op)
/external/tensorflow/tensorflow/contrib/metrics/
DREADME.md10 value, update_op = metrics.streaming_mean_squared_error(
29 value, update_op = some_metric(predictions, labels)
32 update_op.run()
/external/tensorflow/tensorflow/contrib/metrics/python/kernel_tests/
Dhistogram_ops_test.py65 auc, update_op = histogram_ops.auc_using_histogram(labels, scores,
68 update_op.run()
161 auc, update_op = histogram_ops.auc_using_histogram(
168 update_op.run(feed_dict={labels: labels_a, scores: scores_a})
/external/tensorflow/tensorflow/contrib/metrics/python/metrics/
Dclassification.py180 update_op = compute_best_f1_score(tp=update_ops['tp'], fp=update_ops['fp'],
183 ops.add_to_collections(updates_collections, update_op)
185 return best_f1, update_op
/external/tensorflow/tensorflow/python/keras/utils/
Dmetrics_utils.py71 update_op = update_state_fn(*args, **kwargs)
72 if update_op is not None: # update_op will be None in eager execution.
73 metric_obj.add_update(update_op, inputs=True)
74 return update_op
/external/tensorflow/tensorflow/contrib/training/python/training/
Devaluation_test.py199 accuracy, update_op = metrics.accuracy(
206 eval_ops=update_op,
315 accuracy, update_op = metrics.accuracy(
320 eval_ops=update_op,
370 accuracy, update_op = metrics.accuracy(
380 eval_ops=update_op,

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