| /external/javasqlite/src/main/java/SQLite/ |
| Function.java | 57 public void last_step(FunctionContext fc); method in interface:Function
|
| /external/tensorflow/tensorflow/lite/experimental/micro/examples/micro_speech/ |
| feature_provider.cc | 45 const int last_step = (last_time_in_ms / kFeatureSliceStrideMs); local
48 int slices_needed = current_step - last_step;
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| graph_actions.py | 322 last_step = start_step
325 logging.info('Training steps [%d,%s)', last_step, 'inf'
331 (max_steps is None) or (last_step < max_steps)):
336 session, last_step + 1, [train_op, loss_op], feed_dict, monitors)
352 if this_step <= last_step:
355 ': new step %d', last_step, this_step)
357 last_step = this_step
358 is_last_step = (max_steps is not None) and (last_step >= max_steps)
359 if is_last_step or (last_step - last_log_step >= log_every_steps):
362 last_step, loss_value, float(time.time() - start_time)
[all...] |
| monitors.py | 387 def __init__(self, num_steps=None, last_step=None):
395 after `begin()` is called. If instead `last_step` is specified, it
401 last_step: Step after which to stop.
407 if num_steps is None and last_step is None:
408 raise ValueError("One of num_steps or last_step must be specified.")
409 if num_steps is not None and last_step is not None:
410 raise ValueError("Only one of num_steps or last_step can be specified.")
412 self._last_step = last_step
[all...] |
| monitors_test.py | 591 learn.monitors.StopAtStep(num_steps=10, last_step=20)
594 m = learn.monitors.StopAtStep(last_step=10)
[all...] |
| /external/tensorflow/tensorflow/python/tpu/ |
| async_checkpoint.py | 140 last_step = session.run(self._global_step_tensor)
142 if self._last_checkpoint_step != last_step:
143 self._save(session, last_step, asynchronous=False)
146 l.end(session, last_step)
|
| tpu_estimator.py | 621 def __init__(self, iterations, num_steps=None, last_step=None):
627 last_step: Step after which to stop.
632 if num_steps is None and last_step is None:
633 raise ValueError('One of num_steps or last_step must be specified.')
634 if num_steps is not None and last_step is not None:
635 raise ValueError('Only one of num_steps or last_step can be specified.')
637 self._last_step = last_step
640 def _next_iterations(self, global_step, last_step):
641 gap = last_step - global_step
[all...] |
| /external/tensorflow/tensorflow/python/training/ |
| basic_session_run_hooks.py | 315 def __init__(self, num_steps=None, last_step=None, steps_per_run=1):
323 after `begin()` is called. If instead `last_step` is specified, it
333 last_step: Step after which to stop.
339 if num_steps is None and last_step is None:
340 raise ValueError("One of num_steps or last_step must be specified.")
341 if num_steps is not None and last_step is not None:
342 raise ValueError("Only one of num_steps or last_step can be specified.")
346 self._last_step = last_step
380 def __init__(self, num_steps=None, last_step=None):
388 after `begin()` is called. If instead `last_step` is specified, i
[all...] |
| supervisor_test.py | 124 last_step = None
128 last_step = step
135 self.assertEqual(1, last_step)
142 last_step = None
145 last_step = step
153 self.assertEqual(3, last_step)
[all...] |
| basic_session_run_hooks_test.py | 149 basic_session_run_hooks.StopAtStepHook(num_steps=10, last_step=20)
152 h = basic_session_run_hooks.StopAtStepHook(last_step=10)
[all...] |
| monitored_session_test.py | [all...] |
| /external/tensorflow/tensorflow/contrib/integrate/python/ops/ |
| odes.py | 216 def _optimal_step_size(last_step,
224 with ops.name_scope(name, 'optimal_step_size', [last_step,
226 error_ratio = math_ops.cast(error_ratio, last_step.dtype)
227 exponent = math_ops.cast(1 / order, last_step.dtype)
233 return math_ops.div(last_step, factor, name=scope)
|
| odes_test.py | 197 last_step=constant_op.constant(1.0),
205 last_step=constant_op.constant(1.0),
213 last_step=constant_op.constant(1.0),
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| random_forest.py | 80 self.last_step = -1
99 if self.last_step == -1 or self.last_step > current_step:
100 logging.info('TensorForestLossHook resetting last_step.')
101 self.last_step = current_step
106 self.last_step = current_step
|
| /external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/ |
| cifar10_train.py | 116 hooks=[tf.train.StopAtStepHook(last_step=FLAGS.max_steps),
|
