| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| evaluation.py | 31 checkpoint_path = ...
55 checkpoint_path=checkpoint_path,
195 checkpoint_path = tf_saver.latest_checkpoint(checkpoint_dir)
196 if checkpoint_path is None or checkpoint_path == last_checkpoint:
201 logging.info('Found new checkpoint at %s', checkpoint_path)
202 return checkpoint_path
247 checkpoint_path = None
250 checkpoint_dir, checkpoint_path, timeout=timeout
[all...] |
| evaluation_test.py | 201 checkpoint_path = evaluation.wait_for_new_checkpoint(checkpoint_dir)
204 checkpoint_path=checkpoint_path,
217 checkpoint_path = evaluation.wait_for_new_checkpoint(checkpoint_dir)
231 checkpoint_path=checkpoint_path,
244 checkpoint_path = evaluation.wait_for_new_checkpoint(checkpoint_dir)
256 checkpoint_path=checkpoint_path, final_ops={'value': final_ops})
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| export_strategy.py | 50 * `(estimator, export_path, checkpoint_path) -> export_path`
51 * `(estimator, export_path, checkpoint_path, eval_result) -> export_path`
52 * `(estimator, export_path, checkpoint_path, eval_result,
66 checkpoint_path=None,
73 checkpoint_path: The checkpoint path to export. If None (the default),
76 should be set only if checkpoint_path is provided (otherwise it is
85 # don't break existing export_fns that don't accept checkpoint_path and
89 if 'checkpoint_path' in export_fn_args:
90 kwargs['checkpoint_path'] = checkpoint_path
[all...] |
| export_strategy_test.py | 39 def _ckpt_export_fn(estimator, export_path, checkpoint_path):
41 self.assertEqual(checkpoint_path, 'checkpoint')
50 def _ckpt_eval_export_fn(estimator, export_path, checkpoint_path,
53 self.assertEqual(checkpoint_path, 'checkpoint')
70 'checkpoint_path'):
|
| evaluable.py | 44 checkpoint_path=None,
100 checkpoint_path: Path of a specific checkpoint to evaluate. If `None`, the
|
| experiment.py | 50 if "checkpoint_path" not in pred_fn_args:
52 def _pred_fn_wrapper(eval_results, checkpoint_path):
76 `(name, checkpoint_path) -> eval_result`
79 `(eval_result, checkpoint_path) -> export_results`
105 name="intermediate_export", checkpoint_path=latest_path)
107 self._eval_result, checkpoint_path=latest_path)
464 * (eval_results, checkpoint_path) -> boolean
466 checkpoint_path is the path to the checkpoint containing the parameters
502 eval_result, checkpoint_path=previous_path if eval_result else None)):
532 checkpoint_path=latest_path
[all...] |
| graph_actions.py | 95 def _restore_from_checkpoint(session, graph, checkpoint_path, saver=None):
96 logging.info('Loading model from checkpoint: %s.', checkpoint_path)
99 saver.restore(session, checkpoint_path)
474 checkpoint_path,
499 checkpoint_path: A string containing the path to a checkpoint to restore.
547 checkpoint_dir=checkpoint_path)
555 logging.warning('Failed to initialize from %s.', checkpoint_path)
558 if checkpoint_path:
559 _restore_from_checkpoint(session, graph, checkpoint_path, saver)
|
| graph_actions_test.py | 279 checkpoint_path=None,
285 checkpoint_path=None,
298 checkpoint_path=None,
324 checkpoint_path=None,
338 checkpoint_path=None,
362 checkpoint_path=None,
385 checkpoint_path=None,
|
| /external/tensorflow/tensorflow/python/estimator/ |
| exporter.py | 45 def export(self, estimator, export_path, checkpoint_path, eval_result,
52 checkpoint_path: The checkpoint path to export.
113 def export(self, estimator, export_path, checkpoint_path, eval_result,
122 checkpoint_path=checkpoint_path,
168 def export(self, estimator, export_path, checkpoint_path, eval_result,
176 checkpoint_path, eval_result,
228 def export(self, estimator, export_path, checkpoint_path, eval_result,
231 estimator, export_path, checkpoint_path, eval_result,
|
| estimator.py | 364 def evaluate(self, input_fn, steps=None, hooks=None, checkpoint_path=None,
392 checkpoint_path: Path of a specific checkpoint to evaluate. If `None`, the
407 given `checkpoint_path` is empty.
415 checkpoint_path=checkpoint_path,
430 checkpoint_path=None,
455 checkpoint_path: Path of a specific checkpoint to predict. If `None`, the
475 if not checkpoint_path:
476 checkpoint_path = saver.latest_checkpoint(self._model_dir)
477 if not checkpoint_path
[all...] |
| training.py | 826 checkpoint_path=latest_ckpt_path,
833 checkpoint_path=latest_ckpt_path)
[all...] |
| exporter_test.py | 64 "checkpoint_path", {}, False)
72 checkpoint_path="checkpoint_path",
92 "checkpoint_path", {}, False)
98 "checkpoint_path", {}, True)
106 checkpoint_path="checkpoint_path",
|
| /external/tensorflow/tensorflow/python/training/ |
| evaluation_test.py | 123 checkpoint_path = saver.latest_checkpoint(checkpoint_dir)
126 checkpoint_path=checkpoint_path,
154 checkpoint_path = saver.latest_checkpoint(checkpoint_dir)
157 checkpoint_path=checkpoint_path,
173 checkpoint_path = saver.latest_checkpoint(checkpoint_dir)
189 checkpoint_path=checkpoint_path,
201 checkpoint_path = saver.latest_checkpoint(checkpoint_dir
[all...] |
| evaluation.py | 120 def _evaluate_once(checkpoint_path,
152 checkpoint_path: The path to a checkpoint to use for evaluation.
200 checkpoint_filename_with_path=checkpoint_path,
|
| /external/tensorflow/tensorflow/contrib/predictor/ |
| contrib_estimator_predictor.py | 58 checkpoint_path = saver.latest_checkpoint(estimator.model_dir)
61 checkpoint_filename_with_path=checkpoint_path))
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/ |
| export.py | 63 def _export_graph(graph, saver, checkpoint_path, export_dir,
71 saver.restore(session, checkpoint_path)
288 checkpoint_path=None):
294 # If checkpoint_path is specified, use the specified checkpoint path.
295 checkpoint_path = (checkpoint_path or
349 checkpoint_path,
|
| saved_model_export_utils.py | 424 def export_fn(estimator, export_dir_base, checkpoint_path=None,
432 checkpoint_path: The checkpoint path to export. If None (the default),
454 checkpoint_path=checkpoint_path,
463 checkpoint_path=checkpoint_path,
571 def update(self, checkpoint_path, eval_result):
575 checkpoint_path: the checkpoint path to export.
587 if not checkpoint_path:
590 raise ValueError('%s has empty evaluation results.', checkpoint_path)
[all...] |
| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| evaluation_test.py | 230 checkpoint_path = os.path.join(self.get_temp_dir(),
234 evaluation.evaluate_once('', checkpoint_path, log_dir)
236 def _prepareCheckpoint(self, checkpoint_path):
242 saver.save(sess, checkpoint_path)
245 checkpoint_path = os.path.join(self.get_temp_dir(), 'model.ckpt')
249 self._prepareCheckpoint(checkpoint_path)
257 '', checkpoint_path, log_dir, eval_op=update_op, final_op=value_op)
261 checkpoint_path = os.path.join(self.get_temp_dir(), 'model.ckpt')
265 self._prepareCheckpoint(checkpoint_path)
276 '', checkpoint_path, log_dir, eval_op=update_op, final_op=value_op
[all...] |
| evaluation.py | 144 checkpoint_path,
162 checkpoint_path: The path to a checkpoint to use for evaluation.
203 checkpoint_path,
|
| /external/tensorflow/tensorflow/python/tools/ |
| freeze_graph_test.py | 67 checkpoint_path = saver.save(
90 checkpoint_path,
181 checkpoint_path = saver.save(
193 input_meta_graph = checkpoint_path + ".meta"
196 "", input_saver_def_path, input_binary, checkpoint_path,
233 checkpoint_path = None
238 input_binary, checkpoint_path, output_node_names,
|
| /external/tensorflow/tensorflow/contrib/meta_graph_transform/ |
| meta_graph_transform.py | 100 checkpoint_path):
114 checkpoint_path: A path to a checkpoint to restore during freezing,
126 saver_def, checkpoint_path)
186 initializer_names, checkpoint_path):
199 checkpoint_path: A path to a checkpoint.
212 if checkpoint_path:
213 input_flag = 'input_checkpoint="%s", ' % checkpoint_path
269 checkpoint_path=None):
286 checkpoint_path: A path to a checkpoint to restore during freezing,
307 transformed_initializer_names, saver_def, checkpoint_path)
[all...] |
| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| sparsify_gather_test.cc | 78 const auto checkpoint_path = local
129 BundleWriter writer(Env::Default(), checkpoint_path); local
172 context.params["input_checkpoint"] = {checkpoint_path};
291 const auto checkpoint_path = local
366 BundleWriter writer(Env::Default(), checkpoint_path); local
404 context.params["input_checkpoint"] = {checkpoint_path};
575 const auto checkpoint_path = local
580 BundleWriter writer(Env::Default(), checkpoint_path); local
586 new BundleReader(Env::Default(), checkpoint_path));
|
| /external/tensorflow/tensorflow/examples/speech_commands/ |
| train.py | 255 checkpoint_path = os.path.join(FLAGS.train_dir,
257 tf.logging.info('Saving to "%s-%d"', checkpoint_path, training_step)
258 saver.save(sess, checkpoint_path, global_step=training_step)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| estimator.py | 564 checkpoint_path=None,
588 checkpoint_path=checkpoint_path,
679 checkpoint_path=None):
706 checkpoint_path: the checkpoint path of the model to be exported. If it is
727 checkpoint_path=checkpoint_path)
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| custom_export_strategy.py | 63 def export_fn(estimator, export_dir, checkpoint_path=None, eval_result=None):
66 checkpoint_path,
|
