/external/tensorflow/tensorflow/contrib/training/ |
__init__.py | 15 """Training and input utilities. 18 [Contrib Training](https://tensorflow.org/api_guides/python/contrib.training) 48 from tensorflow.contrib.training.python.training.bucket_ops import * 49 from tensorflow.contrib.training.python.training.device_setter import * 50 from tensorflow.contrib.training.python.training.evaluation import checkpoints_iterator 51 from tensorflow.contrib.training.python.training.evaluation import evaluate_onc [all...] |
/external/tensorflow/tensorflow/python/training/ |
training.py | 16 """Support for training models. 18 See the [Training](https://tensorflow.org/api_guides/python/train) guide. 30 from tensorflow.python.training.adadelta import AdadeltaOptimizer 31 from tensorflow.python.training.adagrad import AdagradOptimizer 32 from tensorflow.python.training.adagrad_da import AdagradDAOptimizer 33 from tensorflow.python.training.proximal_adagrad import ProximalAdagradOptimizer 34 from tensorflow.python.training.adam import AdamOptimizer 35 from tensorflow.python.training.ftrl import FtrlOptimizer 36 from tensorflow.python.training.momentum import MomentumOptimizer 37 from tensorflow.python.training.moving_averages import ExponentialMovingAverag [all...] |
training_ops.py | 16 """Python wrappers for training ops.""" 22 from tensorflow.python.training import gen_training_ops # pylint: disable=unused-import 25 from tensorflow.python.training.gen_training_ops import *
|
queue_runner.py | 23 from tensorflow.python.training.queue_runner_impl import *
|
/external/tensorflow/tensorflow/python/estimator/ |
training.py | 15 """training python module. 26 from tensorflow_estimator.python.estimator import training 30 training.__all__ = [s for s in dir(training) if not s.startswith('__')] 32 from tensorflow_estimator.python.estimator.training import *
|
/external/tensorflow/tensorflow/contrib/opt/ |
__init__.py | 22 from tensorflow.contrib.opt.python.training.adam_gs_optimizer import * 23 from tensorflow.contrib.opt.python.training.adamax import * 24 from tensorflow.contrib.opt.python.training.addsign import * 25 from tensorflow.contrib.opt.python.training.agn_optimizer import * 26 from tensorflow.contrib.opt.python.training.drop_stale_gradient_optimizer import * 27 from tensorflow.contrib.opt.python.training.elastic_average_optimizer import * 28 from tensorflow.contrib.opt.python.training.external_optimizer import * 29 from tensorflow.contrib.opt.python.training.lars_optimizer import * 30 from tensorflow.contrib.opt.python.training.ggt import * 31 from tensorflow.contrib.opt.python.training.lazy_adam_optimizer import [all...] |
/external/tensorflow/tensorflow/contrib/checkpoint/ |
__init__.py | 52 from tensorflow.python.training.checkpoint_management import CheckpointManager 53 from tensorflow.python.training.tracking.base import Trackable as CheckpointableBase 54 from tensorflow.python.training.tracking.data_structures import List 55 from tensorflow.python.training.tracking.data_structures import Mapping 56 from tensorflow.python.training.tracking.data_structures import NoDependency 57 from tensorflow.python.training.tracking.python_state import PythonState as PythonStateWrapper 58 from tensorflow.python.training.tracking.tracking import AutoTrackable as Checkpointable 59 from tensorflow.python.training.tracking.util import capture_dependencies 60 from tensorflow.python.training.tracking.util import list_objects 61 from tensorflow.python.training.tracking.util import object_metadat [all...] |
/external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
resnet50.py | 73 def call(self, input_tensor, training=False): 75 x = self.bn2a(x, training=training) 79 x = self.bn2b(x, training=training) 83 x = self.bn2c(x, training=training) 148 def call(self, input_tensor, training=False): 150 x = self.bn2a(x, training=training) [all...] |
/external/volley/ |
README.md | 6 For more information about Volley and how to use it, visit the [Android developer training 7 page](https://developer.android.com/training/volley/index.html).
|
/external/tensorflow/tensorflow/contrib/hooks/python/ |
__init__.py | 23 from tensorflow.contrib.hooks.python.training import *
|
/external/u-boot/arch/arm/mach-uniphier/dram/ |
Makefile | 6 ddrphy-training.o ddrphy-ld4.o 8 ddrphy-training.o ddrphy-ld4.o 10 ddrphy-training.o ddrphy-ld4.o
|
/external/tensorflow/tensorflow/contrib/cluster_resolver/ |
cluster_resolver_initialization_test.py | 22 from tensorflow.contrib.cluster_resolver.python.training import cluster_resolver 23 from tensorflow.contrib.cluster_resolver.python.training import UnionClusterResolver 25 from tensorflow.python.training import server_lib
|
/external/tensorflow/tensorflow/python/tpu/ |
util.py | 26 from tensorflow.python.training import training 40 class MultiHostDatasetInitializerHook(training.SessionRunHook):
|
/external/tensorflow/tensorflow/contrib/eager/python/examples/densenet/ |
densenet.py | 69 def call(self, x, training=True): 70 output = self.batchnorm1(x, training=training) 74 output = self.batchnorm2(output, training=training) 77 output = self.dropout(output, training=training) 107 def call(self, x, training=True): 108 output = self.batchnorm(x, training=training) [all...] |
/external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
revnet.py | 38 config: tf.contrib.training.HParams object; specifies hyperparameters 96 def call(self, inputs, training=True): 100 if training: 103 h = self._init_block(inputs, training=training) 104 if training: 108 h = block(h, training=training) 109 if training: 112 logits = self._final_block(h, training=training [all...] |
blocks.py | 87 def call(self, h, training=True): 91 h = block(h, training=training) 94 def backward_grads(self, x, y, dy, training=True): 103 x, y, dy, training=True) 105 y, dy, grads = block.backward_grads(y, dy, training=training) 170 def call(self, x, training=True): 173 f_x2 = self.f(x2, training=training) [all...] |
/external/tensorflow/tensorflow/contrib/hooks/python/training/ |
__init__.py | 22 from tensorflow.contrib.hooks.python.training.profiler_hook import ProfilerHook
|
profiler_hook.py | 21 from tensorflow.python.training import basic_session_run_hooks
|
/external/tensorflow/tensorflow/contrib/hooks/ |
__init__.py | 25 from tensorflow.contrib.hooks.python.training import *
|
/external/tensorflow/tensorflow/contrib/learn/python/learn/ |
session_run_hook.py | 15 """This file is deprecated. Use `tensorflow.python.training.session_run_hook`. 25 from tensorflow.python.training import session_run_hook
|
summary_writer_cache.py | 26 from tensorflow.python.training import summary_io
|
/build/make/tools/droiddoc/templates-pdk/ |
docpage.cs | 24 <div class="training-nav-top"> 28 <div class="training-nav-button-next"> 32 <span class="training-nav-button-title"><?cs var:next.title ?></span> 38 <div class="training-nav-button-next"> 42 <span class="training-nav-button-title"><?cs var:next.title ?></span> 50 <div class="training-nav-button-previous"> 54 <span class="training-nav-button-title"><?cs var:previous.title ?></span> 60 </div><!-- end training-nav-top --> 69 <div class="training-nav-bottom"> 71 <div class="training-nav-button-next" [all...] |
/external/tensorflow/tensorflow/examples/saved_model/integration_tests/ |
util.py | 36 positional argument. If `func` accepts a `training` argument, a Python 78 'training' in self._func_fullargspec.args or 79 'training' in self._func_fullargspec.kwonlyargs) 90 def call(self, x, training=None): 93 # ...but we may also have to pass a Python boolean for `training`. 97 if training is None: 98 training = tf.keras.backend.learning_phase() # Could be a tensor. 99 result = smart_cond.smart_cond(training, 100 lambda: f(training=True), 101 lambda: f(training=False) [all...] |
/external/tensorflow/tensorflow/python/autograph/pyct/static_analysis/ |
type_info_test.py | 32 from tensorflow.python.training import training 86 opt = training.GradientDescentOptimizer(0.1) 89 node = self._parse_and_analyze(test_fn, {'training': training}) 92 self.assertEquals(training.GradientDescentOptimizer, 94 self.assertEquals((training.__name__, 'GradientDescentOptimizer'), 110 opt = training.GradientDescentOptimizer(0.1) 113 node = self._parse_and_analyze(test_fn, {'training': training}) [all...] |
/development/samples/training/device-management-policy/src/com/example/training/deviceadmin/ |
SecureActivity.java | 17 package com.example.training.deviceadmin;
|