| /external/tensorflow/tensorflow/contrib/nn/python/ops/ |
| D | alpha_dropout.py | 30 def alpha_dropout(x, keep_prob, noise_shape=None, seed=None, name=None): # pylint: disable=invalid-… argument
58 if isinstance(keep_prob, numbers.Real) and not 0 < keep_prob <= 1.:
60 "range (0, 1], got %g" % keep_prob)
61 keep_prob = ops.convert_to_tensor(keep_prob,
64 keep_prob.get_shape().assert_is_compatible_with(tensor_shape.scalar())
67 if tensor_util.constant_value(keep_prob) == 1:
76 kept_idx = gen_math_ops.greater_equal(random_tensor, 1 - keep_prob)
82 a = (keep_prob + keep_prob * (1 - keep_prob) * alpha ** 2) ** -0.5
83 b = -a * alpha * (1 - keep_prob)
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| D | alpha_dropout_test.py | 34 for keep_prob in [0.1, 0.5, 0.8]:
37 output = alpha_dropout(t, keep_prob)
48 keep_prob = 0.5
51 _ = alpha_dropout(t, keep_prob, noise_shape=[x_dim, y_dim + 10])
53 _ = alpha_dropout(t, keep_prob, noise_shape=[x_dim, y_dim, 5])
55 _ = alpha_dropout(t, keep_prob, noise_shape=[x_dim + 3])
57 _ = alpha_dropout(t, keep_prob, noise_shape=[x_dim])
60 _ = alpha_dropout(t, keep_prob, noise_shape=[y_dim])
61 _ = alpha_dropout(t, keep_prob, noise_shape=[1, y_dim])
62 _ = alpha_dropout(t, keep_prob, noise_shape=[x_dim, 1])
[all …]
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| /external/tensorflow/tensorflow/python/ops/ |
| D | nn_test.py | 314 for keep_prob in [0.1, 0.5, 0.8]:
316 dropout = nn_ops.dropout(t, keep_prob)
325 self.assertAllClose(1 / keep_prob, sorted_value[1])
328 expected_count = x_dim * y_dim * keep_prob * num_iter
341 for keep_prob in [0.1, 0.5, 0.8]:
343 dropout = nn_ops.dropout(t, keep_prob, noise_shape=[x_dim, 1])
352 self.assertAllClose(1 / keep_prob, sorted_value[1])
355 expected_count = x_dim * y_dim * keep_prob * num_iter
365 for keep_prob in [0.1, 0.5, 0.8]:
367 dropout = nn_ops.dropout(t, keep_prob, noise_shape=[x_dim, 1])
[all …]
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| D | rnn_cell_impl.py | 1352 self, index, value, noise, keep_prob): argument
1355 random_tensor = keep_prob + noise
1359 ret = math_ops.div(value, keep_prob) * binary_tensor
1363 def _dropout(self, values, salt_prefix, recurrent_noise, keep_prob, argument
1376 v, keep_prob=keep_prob, seed=self._gen_seed(salt_prefix, i))
1385 return self._variational_recurrent_dropout_value(i, v, n, keep_prob)
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| D | nn_ops.py | 4046 def dropout(x, keep_prob=None, noise_shape=None, seed=None, name=None, argument
4081 keep = 1. - keep_prob if keep_prob is not None else None
4084 "(got %r)" % keep_prob)
4164 keep_prob = 1 - rate
4165 scale = 1 / keep_prob
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_colorbot/ |
| D | rnn_colorbot.py | 141 def __init__(self, rnn_cell_sizes, label_dimension, keep_prob): argument
153 self.keep_prob = keep_prob
195 chars = tf.nn.dropout(chars, self.keep_prob)
260 keep_prob=FLAGS.keep_probability)
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| D | rnn_colorbot_test.py | 53 keep_prob=1.0)
63 keep_prob=1.0)
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| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| D | mnist_with_summaries.py | 104 keep_prob = tf.placeholder(tf.float32)
105 tf.summary.scalar('dropout_keep_probability', keep_prob)
106 dropped = tf.nn.dropout(hidden1, keep_prob)
157 return {x: xs, y_: ys, keep_prob: k}
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| /external/tensorflow/tensorflow/tools/compatibility/ |
| D | tf_upgrade_v2.py | 1852 for keep_prob in node.keywords:
1853 if keep_prob.arg == "keep_prob":
1856 keep_prob.arg = "rate"
1857 _replace_keep_prob_node(keep_prob, keep_prob.value)
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| /external/tensorflow/tensorflow/contrib/text/python/ops/ |
| D | skip_gram_ops.py | 438 keep_prob = ((math_ops.sqrt(freq /
448 mask = math_ops.less_equal(random_prob, keep_prob)
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | word2vec_kernels.cc | 154 float keep_prob = in NextExample() local
157 if (rng_.RandFloat() > keep_prob) { in NextExample()
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | composable_model.py | 389 net = layers.dropout(net, keep_prob=(1.0 - self._dropout))
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| D | dnn.py | 179 net = layers.dropout(net, keep_prob=(1.0 - dropout))
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| D | dnn_linear_combined.py | 267 keep_prob=(1.0 - dnn_dropout))
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| /external/tensorflow/tensorflow/python/grappler/ |
| D | hierarchical_controller.py | 143 keep_prob=1.0,
885 if self.hparams.keep_prob is not None:
886 signal = nn_ops.dropout(signal, self.hparams.keep_prob)
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| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| D | dnn_tree_combined_estimator.py | 208 net = layers.dropout(net, keep_prob=(1.0 - dnn_dropout))
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| D | inception_v2.py | 556 net, keep_prob=dropout_keep_prob, scope='Dropout_1b')
|
| D | inception_v3.py | 628 net, keep_prob=dropout_keep_prob, scope='Dropout_1b')
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | layers.py | 1564 keep_prob=0.5, argument
1597 rate=1 - keep_prob,
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.nn.pbtxt | 177 …argspec: "args=[\'x\', \'keep_prob\', \'noise_shape\', \'seed\', \'name\', \'rate\'], varargs=None…
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| /external/tensorflow/tensorflow/contrib/rnn/python/kernel_tests/ |
| D | rnn_cell_test.py | 1863 keep_prob = 0.5
1879 num_units, layer_norm=False, dropout_keep_prob=keep_prob)
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| /external/tensorflow/ |
| D | RELEASE.md | 62 * Dropout now takes `rate` argument, `keep_prob` is deprecated.
|