| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| feature_keys.py | 73 PREDICT = signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY
|
| head_test.py | 44 estimator_lib.ModeKeys.PREDICT]:
227 mode=estimator_lib.ModeKeys.PREDICT)
236 mode=estimator_lib.ModeKeys.PREDICT)
249 mode=estimator_lib.ModeKeys.PREDICT)
263 mode=estimator_lib.ModeKeys.PREDICT)
|
| head.py | 132 prediction = self.model.predict(features=features)
136 predictions=prediction, mode=estimator_lib.ModeKeys.PREDICT)
141 prediction_outputs = self.model.predict(features=features)
147 mode=estimator_lib.ModeKeys.PREDICT,
149 feature_keys.SavedModelLabels.PREDICT:
219 elif mode == estimator_lib.ModeKeys.PREDICT:
231 elif mode == estimator_lib.ModeKeys.PREDICT and not passed_flat_state:
233 elif mode == estimator_lib.ModeKeys.PREDICT and passed_flat_state:
234 # The mode is PREDICT, but we're actually in export_savedmodel for
|
| saved_model_utils.py | 67 saved model rather than feeding into Estimator's predict method.
78 steps: The number of steps to predict (scalar), starting after the
106 _feature_keys.SavedModelLabels.PREDICT]
162 # Make it easier to chain filter -> predict by keeping track of the current
|
| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| head_impl.py | 168 if mode == model_fn_lib.ModeKeys.PREDICT:
170 mode=model_fn_lib.ModeKeys.PREDICT,
|
| gan_estimator_test.py | 75 is_predict = mode == model_fn_lib.ModeKeys.PREDICT
113 elif mode == model_fn_lib.ModeKeys.PREDICT:
142 real_data = (None if mode == model_fn_lib.ModeKeys.PREDICT else
163 elif mode == model_fn_lib.ModeKeys.PREDICT:
169 self._test_logits_helper(model_fn_lib.ModeKeys.PREDICT)
217 # PREDICT
218 predictions = np.array([x for x in est.predict(predict_input_fn)])
|
| head_test.py | 75 self._test_modes_helper(model_fn_lib.ModeKeys.PREDICT)
|
| /external/tensorflow/tensorflow/contrib/predictor/ |
| core_estimator_predictor.py | 36 serving_input_receiver.features, None, model_fn.ModeKeys.PREDICT,
|
| /external/tensorflow/tensorflow/python/estimator/ |
| model_fn_test.py | 448 mode=model_fn.ModeKeys.PREDICT,
458 mode=model_fn.ModeKeys.PREDICT,
477 mode=model_fn.ModeKeys.PREDICT,
484 model_fn.EstimatorSpec(mode=model_fn.ModeKeys.PREDICT)
490 mode=model_fn.ModeKeys.PREDICT, predictions=constant_op.constant(1.))
497 mode=model_fn.ModeKeys.PREDICT, predictions={'number': 1.})
509 mode=model_fn.ModeKeys.PREDICT, predictions=predictions)
518 mode=model_fn.ModeKeys.PREDICT,
531 mode=model_fn.ModeKeys.PREDICT,
544 mode=model_fn.ModeKeys.PREDICT,
[all...] |
| model_fn.py | 45 * `PREDICT`: inference mode.
50 PREDICT = 'infer'
87 * For `mode == ModeKeys.PREDICT`: required fields are `predictions`.
119 if mode == tf.estimator.ModeKeys.PREDICT:
192 if mode == ModeKeys.PREDICT:
|
| /packages/inputmethods/OpenWnn/src/jp/co/omronsoft/openwnn/ |
| OpenWnnEvent.java | 49 * Predict.
53 public static final int PREDICT = 0xF0000008;
|
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| dnn_testing_utils.py | 151 elif mode == model_fn.ModeKeys.PREDICT:
254 elif mode == model_fn.ModeKeys.PREDICT:
275 model_fn.ModeKeys.PREDICT
302 model_fn.ModeKeys.PREDICT
333 model_fn.ModeKeys.PREDICT
360 model_fn.ModeKeys.PREDICT
387 model_fn.ModeKeys.PREDICT
415 model_fn.ModeKeys.PREDICT
444 elif mode == model_fn.ModeKeys.PREDICT:
535 model_fn.ModeKeys.PREDICT
[all...] |
| head.py | 54 _PREDICT_SERVING_KEY = 'predict'
725 # Predict.
747 if mode == model_fn.ModeKeys.PREDICT:
752 mode=model_fn.ModeKeys.PREDICT,
[all...] |
| /external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
| tpu_context.py | 218 model, when mode == PREDICT. Only with this bool, we could
219 tell whether user is calling the Estimator.predict or
242 if mode != model_fn_lib.ModeKeys.PREDICT:
245 # There are actually 2 use cases when running with mode.PREDICT: prediction
260 elif mode == model_fn_lib.ModeKeys.PREDICT:
450 assert mode == model_fn_lib.ModeKeys.PREDICT
454 '`None` if .predict is running on TPU.')
457 'predict batch size {} must be divisible by number of replicas {}'
461 'TPUEstimator.predict should be running on single TPU worker. '
|
| /external/tensorflow/tensorflow/examples/get_started/regression/ |
| custom_regression.py | 46 if mode == tf.estimator.ModeKeys.PREDICT:
47 # In `PREDICT` mode we only need to return predictions.
|
| /external/tensorflow/tensorflow/examples/learn/ |
| iris_custom_decay_dnn.py | 42 if mode == tf.estimator.ModeKeys.PREDICT:
83 # Predict.
86 predictions = classifier.predict(input_fn=test_input_fn)
|
| iris_custom_model.py | 43 if mode == tf.estimator.ModeKeys.PREDICT:
80 # Predict.
83 predictions = classifier.predict(input_fn=test_input_fn)
|
| mnist.py | 72 if mode == tf.estimator.ModeKeys.PREDICT:
|
| multiple_gpu.py | 61 if mode == tf.estimator.ModeKeys.PREDICT:
99 # Predict.
102 predictions = classifier.predict(input_fn=test_input_fn)
|
| text_classification_character_rnn.py | 44 """Character level recurrent neural network model to predict classes."""
54 if mode == tf.estimator.ModeKeys.PREDICT:
|
| text_classification_cnn.py | 43 """2 layer ConvNet to predict from sequence of words to a class."""
82 if mode == tf.estimator.ModeKeys.PREDICT:
|
| /external/tensorflow/tensorflow/examples/tutorials/layers/ |
| cnn_mnist.py | 90 # Generate predictions (for PREDICT and EVAL mode)
92 # Add `softmax_tensor` to the graph. It is used for PREDICT and by the
96 if mode == tf.estimator.ModeKeys.PREDICT:
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| estimator.py | 115 if mode is model_fn_lib.ModeKeys.PREDICT and not model.built:
170 if mode is not model_fn_lib.ModeKeys.PREDICT:
|
| /external/python/cpython3/Python/ |
| ceval.c | 880 predict the second code when the first is run. For example,
889 processor's internal branch prediction, a successful PREDICT has the
905 #define PREDICT(op) if (0) goto PRED_##op
907 #define PREDICT(op) \
[all...] |
| /external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
| multi_head.py | 257 if mode == model_fn.ModeKeys.PREDICT:
314 `EstimatorSpec` that merges all heads for PREDICT.
334 mode=model_fn.ModeKeys.PREDICT,
|
