| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| D | periodic_test.py | 32 num_steps = 3
40 test_case=self, model=cycle, num_steps=num_steps)
43 num_steps = 3
53 test_case=self, model=cycle, num_steps=num_steps)
56 num_steps = 3
64 test_case=self, model=cycle, num_steps=num_steps)
67 num_steps = 3
77 test_case=self, model=cycle, num_steps=num_steps)
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| D | level_trend.py | 95 def transition_power_noise_accumulator(self, num_steps): argument
100 array_ops.concat(values=[array_ops.shape(num_steps), [2, 2]], axis=0))
102 num_steps = math_ops.cast(num_steps, self.dtype)
103 noise_transitions = num_steps - 1
119 num_steps * a + sum_of_first_n * (b + c) + sum_of_first_n_squares * d,
120 num_steps * b + sum_of_first_n * d,
121 num_steps * c + sum_of_first_n * d,
122 num_steps * d)
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| D | level_trend_test.py | 32 num_steps = 3
38 test_case=self, model=adder, num_steps=num_steps)
41 num_steps = 3
49 test_case=self, model=adder, num_steps=num_steps)
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| D | periodic.py | 105 self, num_steps, noise_addition_coefficient=1): argument
141 math_ops.range(self._periodicity, dtype=num_steps.dtype),
144 array_ops.ones([array_ops.rank(num_steps)], dtype=dtypes.int32),
149 - (num_steps[..., None] - 1))
154 (num_steps[..., None] + reversed_remaining_steps) //
334 def transition_power_noise_accumulator(self, num_steps): argument
372 num_steps=ops.convert_to_tensor(
373 self._num_latent_values, dtype=num_steps.dtype))
375 num_steps.dtype)
376 full_periods = math_ops.cast(num_steps // periodicity_integer, self.dtype)
[all …]
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| D | test_utils.py | 34 def transition_power_test_template(test_case, model, num_steps): argument
48 state_dimension, batch_shape=array_ops.shape(num_steps)).eval()
50 for iteration_number in range(num_steps):
61 def noise_accumulator_test_template(test_case, model, num_steps): argument
94 times=math_ops.range(num_steps + 1)[..., None], state=(None, None, 0))
96 num_steps=step_number)
97 for iteration_number in range(num_steps):
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| D | state_space_model.py | 255 def transition_power_noise_accumulator(self, num_steps): argument
287 math_ops.reduce_max(num_steps) + 1,
290 return array_ops.gather(noise_additions, indices=num_steps)
346 def _cached_transition_powers_and_sums(self, num_steps): argument
349 indices=num_steps)
1121 def transition_power_noise_accumulator(self, num_steps): argument
1123 member_fn=lambda m: m.transition_power_noise_accumulator(num_steps),
1193 def transition_power_noise_accumulator(self, num_steps): argument
1199 num_steps=num_steps)
1205 self).transition_power_noise_accumulator(num_steps=num_steps)
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| /external/eigen/Eigen/src/Core/functors/ |
| D | NullaryFunctors.h | 45 linspaced_op_impl(const Scalar& low, const Scalar& high, Index num_steps) :
46 …w(low), m_high(high), m_size1(num_steps==1 ? 1 : num_steps-1), m_step(num_steps==1 ? Scalar() : (h…
92 linspaced_op_impl(const Scalar& low, const Scalar& high, Index num_steps) :
94 m_multiplier((high-low)/convert_index<Scalar>(num_steps<=1 ? 1 : num_steps-1)),
95 …m_divisor(convert_index<Scalar>((high>=low?num_steps:-num_steps)+(high-low))/((numext::abs(high-lo…
96 m_use_divisor(num_steps>1 && (numext::abs(high-low)+1)<num_steps)
131 linspaced_op(const Scalar& low, const Scalar& high, Index num_steps)
132 : impl((num_steps==1 ? high : low),high,num_steps)
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | autoregressive.py | 123 num_steps=None, argument
163 if num_steps is None:
164 num_steps = self._distribution0.event_shape.num_elements()
165 if num_steps is None:
168 if num_steps < 1:
169 raise ValueError("num_steps ({}) must be at least 1.".format(num_steps))
170 self._num_steps = num_steps
189 def num_steps(self): member in Autoregressive
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| /external/tensorflow/tensorflow/python/training/ |
| D | evaluation_test.py | 75 def _train_model(self, checkpoint_dir, num_steps): argument
99 hooks=[basic_session_run_hooks.StopAtStepHook(num_steps)]) as session:
104 if num_steps >= 300:
112 self._train_model(checkpoint_dir, num_steps=300)
139 self._train_model(checkpoint_dir, num_steps=300)
178 self._train_model(checkpoint_dir, num_steps=1)
206 self._train_model(checkpoint_dir, num_steps=1)
235 self._train_model(checkpoint_dir, num_steps=1)
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| D | basic_session_run_hooks.py | 315 def __init__(self, num_steps=None, last_step=None, steps_per_run=1): argument
339 if num_steps is None and last_step is None:
341 if num_steps is not None and last_step is not None:
345 self._num_steps = num_steps
380 def __init__(self, num_steps=None, last_step=None): argument
399 if num_steps is None and last_step is None:
401 if num_steps is not None and last_step is not None:
403 self._num_steps = num_steps
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| D | evaluation_test.py | 157 def _train_model(self, checkpoint_dir, num_steps): argument
181 hooks=[basic_session_run_hooks.StopAtStepHook(num_steps)])
183 if num_steps >= 300:
191 self._train_model(checkpoint_dir, num_steps=300)
217 self._train_model(checkpoint_dir, num_steps=1)
244 self._train_model(checkpoint_dir, num_steps=1)
276 def _train_model(self, checkpoint_dir, num_steps): argument
300 hooks=[basic_session_run_hooks.StopAtStepHook(num_steps)])
307 self._train_model(checkpoint_dir, num_steps=300)
362 self._train_model(checkpoint_dir, num_steps=300)
[all …]
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| D | training_test.py | 253 hooks=[basic_session_run_hooks.StopAtStepHook(num_steps=300)],
287 hooks=[basic_session_run_hooks.StopAtStepHook(num_steps=300)],
310 hooks=[basic_session_run_hooks.StopAtStepHook(num_steps=300)],
341 num_steps=number_of_steps[i]),
394 basic_session_run_hooks.StopAtStepHook(num_steps=1),
411 basic_session_run_hooks.StopAtStepHook(num_steps=300),
437 hooks=[basic_session_run_hooks.StopAtStepHook(num_steps=1)],
474 basic_session_run_hooks.StopAtStepHook(num_steps=200),
498 basic_session_run_hooks.StopAtStepHook(num_steps=300),
517 basic_session_run_hooks.StopAtStepHook(num_steps=400),
[all …]
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| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| D | round_weights.cc | 35 int32 num_steps; in RoundWeights() local
37 context.GetOneInt32Parameter("num_steps", 256, &num_steps)); in RoundWeights()
40 [num_steps](const NodeMatch& match, const std::set<string>& input_nodes, in RoundWeights()
92 const float bucket_width = (max - min) / num_steps; in RoundWeights()
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | monitor.py | 58 def run_steps(self, num_steps=None): argument
60 while num_steps is None or step < num_steps:
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| D | estimator_integration_test.py | 108 num_steps = 10
112 training.TrainSpec(train_input_fn, max_steps=num_steps),
115 estimator.train(train_input_fn, steps=num_steps)
118 self.assertEqual(num_steps, scores[ops.GraphKeys.GLOBAL_STEP])
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | local_test.py | 39 num_steps = 8
67 input_shape=(num_samples, num_steps, input_dim))
71 num_steps = 8
96 layer.build((num_samples, num_steps, input_dim))
100 num_steps,
114 layer.build((num_samples, num_steps, input_dim))
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| /external/tensorflow/tensorflow/examples/tf2_showcase/ |
| D | mnist.py | 141 num_steps=None): argument
145 if num_steps is not None and batch > num_steps:
222 flags_obj.log_interval, num_steps=1)
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| /external/tensorflow/tensorflow/core/grappler/clusters/ |
| D | cluster.cc | 40 void Cluster::SetNumWarmupSteps(int num_steps) { in SetNumWarmupSteps() argument
42 num_steps); in SetNumWarmupSteps()
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| D | cluster.h | 73 void SetNumWarmupSteps(int num_steps);
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| /external/autotest/server/site_tests/firmware_ECThermal/ |
| D | firmware_ECThermal.py | 99 num_steps = len(self._thermal_setting[0]) - 3
102 ["\d+ K:\s+([0-9-]+) RPM"] * num_steps)
108 for i in xrange(num_steps + 1):
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| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| D | stargan_estimator_test.py | 231 num_steps = 10
232 est.train(train_input_fn, steps=num_steps)
236 self.assertEqual(num_steps, scores[ops.GraphKeys.GLOBAL_STEP])
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| /external/tensorflow/tensorflow/examples/tutorials/word2vec/ |
| D | word2vec_basic.py | 227 num_steps = 100001
238 for step in xrange(num_steps):
259 if step == (num_steps - 1):
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.estimator.-stop-at-step-hook.pbtxt | 8 …argspec: "args=[\'self\', \'num_steps\', \'last_step\'], varargs=None, keywords=None, defaults=[\'…
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.estimator.-stop-at-step-hook.pbtxt | 8 …argspec: "args=[\'self\', \'num_steps\', \'last_step\'], varargs=None, keywords=None, defaults=[\'…
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| D | tensorflow.train.-stop-at-step-hook.pbtxt | 8 …argspec: "args=[\'self\', \'num_steps\', \'last_step\'], varargs=None, keywords=None, defaults=[\'…
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