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/external/tensorflow/tensorflow/python/keras/layers/
D__init__.py29 from tensorflow.python.keras._impl.keras.layers.advanced_activations import LeakyReLU
30 from tensorflow.python.keras._impl.keras.layers.advanced_activations import PReLU
31 from tensorflow.python.keras._impl.keras.layers.advanced_activations import ELU
32 from tensorflow.python.keras._impl.keras.layers.advanced_activations import ThresholdedReLU
33 from tensorflow.python.keras._impl.keras.layers.advanced_activations import Softmax
36 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv1D
37 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv2D
38 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv3D
39 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv2DTranspose
40 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv3DTranspose
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/external/tensorflow/tensorflow/contrib/keras/api/keras/layers/
D__init__.py29 from tensorflow.python.keras._impl.keras.layers.advanced_activations import LeakyReLU
30 from tensorflow.python.keras._impl.keras.layers.advanced_activations import PReLU
31 from tensorflow.python.keras._impl.keras.layers.advanced_activations import ELU
32 from tensorflow.python.keras._impl.keras.layers.advanced_activations import ThresholdedReLU
35 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv1D
36 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv2D
37 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv3D
38 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv2DTranspose
39 from tensorflow.python.keras._impl.keras.layers.convolutional import Conv3DTranspose
40 from tensorflow.python.keras._impl.keras.layers.convolutional import SeparableConv2D
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/external/tensorflow/tensorflow/python/layers/
Dlayers.py69 from tensorflow.python.layers.base import Layer
70 from tensorflow.python.layers.base import InputSpec
71 from tensorflow.python.layers.network import Input
74 from tensorflow.python.layers.core import Dense
75 from tensorflow.python.layers.core import Dropout
76 from tensorflow.python.layers.core import Flatten
78 from tensorflow.python.layers.core import dense
79 from tensorflow.python.layers.core import dropout
80 from tensorflow.python.layers.core import flatten
83 from tensorflow.python.layers.convolutional import SeparableConv1D
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/external/tensorflow/tensorflow/docs_src/api_guides/python/
Dcontrib.layers.md4 Ops for building neural network layers, regularizers, summaries, etc.
6 ## Higher level ops for building neural network layers
12 * @{tf.contrib.layers.avg_pool2d}
13 * @{tf.contrib.layers.batch_norm}
14 * @{tf.contrib.layers.convolution2d}
15 * @{tf.contrib.layers.conv2d_in_plane}
16 * @{tf.contrib.layers.convolution2d_in_plane}
18 * @{tf.contrib.layers.convolution2d_transpose}
20 * @{tf.contrib.layers.flatten}
21 * @{tf.contrib.layers.fully_connected}
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/external/tensorflow/tensorflow/contrib/layers/python/layers/
D__init__.py22 from tensorflow.contrib.layers.python.layers.embedding_ops import *
23 from tensorflow.contrib.layers.python.layers.encoders import *
24 from tensorflow.contrib.layers.python.layers.feature_column import *
25 from tensorflow.contrib.layers.python.layers.feature_column_ops import *
26 from tensorflow.contrib.layers.python.layers.initializers import *
27 from tensorflow.contrib.layers.python.layers.layers import *
28 from tensorflow.contrib.layers.python.layers.normalization import *
29 from tensorflow.contrib.layers.python.layers.optimizers import *
30 from tensorflow.contrib.layers.python.layers.regularizers import *
31 from tensorflow.contrib.layers.python.layers.rev_block_lib import *
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/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/
Dinception_v3.py21 from tensorflow.contrib import layers
23 from tensorflow.contrib.layers.python.layers import initializers
24 from tensorflow.contrib.layers.python.layers import layers as layers_lib
25 from tensorflow.contrib.layers.python.layers import regularizers
107 [layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d],
112 net = layers.conv2d(inputs, depth(32), [3, 3], stride=2, scope=end_point)
118 net = layers.conv2d(net, depth(32), [3, 3], scope=end_point)
124 net = layers.conv2d(
137 net = layers.conv2d(net, depth(80), [1, 1], scope=end_point)
143 net = layers.conv2d(net, depth(192), [3, 3], scope=end_point)
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Dinception_v1.py21 from tensorflow.contrib import layers
23 from tensorflow.contrib.layers.python.layers import initializers
24 from tensorflow.contrib.layers.python.layers import layers as layers_lib
25 from tensorflow.contrib.layers.python.layers import regularizers
62 [layers.conv2d, layers_lib.fully_connected],
65 [layers.conv2d, layers_lib.max_pool2d], stride=1, padding='SAME'):
67 net = layers.conv2d(inputs, 64, [7, 7], stride=2, scope=end_point)
77 net = layers.conv2d(net, 64, [1, 1], scope=end_point)
82 net = layers.conv2d(net, 192, [3, 3], scope=end_point)
95 branch_0 = layers.conv2d(net, 64, [1, 1], scope='Conv2d_0a_1x1')
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Dinception_v2.py21 from tensorflow.contrib import layers
23 from tensorflow.contrib.layers.python.layers import initializers
24 from tensorflow.contrib.layers.python.layers import layers as layers_lib
25 from tensorflow.contrib.layers.python.layers import regularizers
84 layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d,
85 layers.separable_conv2d
103 net = layers.separable_conv2d(
121 net = layers.conv2d(
131 net = layers.conv2d(net, depth(192), [3, 3], scope=end_point)
146 branch_0 = layers.conv2d(
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Dvgg.py45 from tensorflow.contrib import layers
47 from tensorflow.contrib.layers.python.layers import layers as layers_lib
48 from tensorflow.contrib.layers.python.layers import regularizers
49 from tensorflow.contrib.layers.python.layers import utils
66 [layers.conv2d, layers_lib.fully_connected],
70 with arg_scope([layers.conv2d], padding='SAME') as arg_sc:
102 [layers.conv2d, layers_lib.max_pool2d],
105 inputs, 1, layers.conv2d, 64, [3, 3], scope='conv1')
107 net = layers_lib.repeat(net, 1, layers.conv2d, 128, [3, 3], scope='conv2')
109 net = layers_lib.repeat(net, 2, layers.conv2d, 256, [3, 3], scope='conv3')
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Doverfeat.py35 from tensorflow.contrib import layers
37 from tensorflow.contrib.layers.python.layers import layers as layers_lib
38 from tensorflow.contrib.layers.python.layers import regularizers
39 from tensorflow.contrib.layers.python.layers import utils
50 [layers.conv2d, layers_lib.fully_connected],
54 with arg_scope([layers.conv2d], padding='SAME'):
96 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d],
98 net = layers.conv2d(
101 net = layers.conv2d(net, 256, [5, 5], padding='VALID', scope='conv2')
103 net = layers.conv2d(net, 512, [3, 3], scope='conv3')
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Dalexnet.py39 from tensorflow.contrib import layers
41 from tensorflow.contrib.layers.python.layers import layers as layers_lib
42 from tensorflow.contrib.layers.python.layers import regularizers
43 from tensorflow.contrib.layers.python.layers import utils
54 [layers.conv2d, layers_lib.fully_connected],
58 with arg_scope([layers.conv2d], padding='SAME'):
99 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d],
101 net = layers.conv2d(
104 net = layers.conv2d(net, 192, [5, 5], scope='conv2')
106 net = layers.conv2d(net, 384, [3, 3], scope='conv3')
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/external/tensorflow/tensorflow/python/keras/_impl/keras/layers/
Dmerge_test.py32 i1 = keras.layers.Input(shape=(4, 5))
33 i2 = keras.layers.Input(shape=(4, 5))
34 i3 = keras.layers.Input(shape=(4, 5))
36 o = keras.layers.add([i1, i2, i3])
48 i1 = keras.layers.Input(shape=(4, 5))
49 i2 = keras.layers.Input(shape=(4, 5))
50 m1 = keras.layers.Masking()(i1)
51 layer = keras.layers.Add()
60 layer = keras.layers.Add()
64 i1 = keras.layers.Input(shape=(4, 5))
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Dcore_test.py36 keras.layers.Masking, kwargs={}, input_shape=(3, 2, 3))
41 keras.layers.Dropout, kwargs={'rate': 0.5}, input_shape=(3, 2))
45 keras.layers.Dropout,
52 dropout = keras.layers.Dropout(0.5)
57 keras.layers.SpatialDropout1D,
63 keras.layers.SpatialDropout2D,
69 keras.layers.SpatialDropout2D,
75 keras.layers.SpatialDropout3D,
81 keras.layers.SpatialDropout3D,
89 keras.layers.Activation,
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Dwrappers_test.py34 keras.layers.TimeDistributed(
35 keras.layers.Dense(2), input_shape=(3, 4)))
50 keras.layers.TimeDistributed(
51 keras.layers.Dense(2), input_shape=(3, 4), batch_size=10))
64 keras.layers.TimeDistributed(
65 keras.layers.Conv2D(5, (2, 2), padding='same'),
67 model.add(keras.layers.Activation('relu'))
80 keras.layers.TimeDistributed(
81 keras.layers.Dense(2), input_shape=(3, 4)))
82 model.add(keras.layers.TimeDistributed(keras.layers.Dense(3)))
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Dpooling_test.py30 testing_utils.layer_test(keras.layers.pooling.GlobalMaxPooling1D,
33 keras.layers.pooling.GlobalAveragePooling1D, input_shape=(3, 4, 5))
38 keras.layers.pooling.GlobalMaxPooling2D,
42 keras.layers.pooling.GlobalMaxPooling2D,
46 keras.layers.pooling.GlobalAveragePooling2D,
50 keras.layers.pooling.GlobalAveragePooling2D,
57 keras.layers.pooling.GlobalMaxPooling3D,
61 keras.layers.pooling.GlobalMaxPooling3D,
65 keras.layers.pooling.GlobalAveragePooling3D,
69 keras.layers.pooling.GlobalAveragePooling3D,
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D__init__.py26 from tensorflow.python.keras._impl.keras.layers.advanced_activations import *
27 from tensorflow.python.keras._impl.keras.layers.convolutional import *
28 from tensorflow.python.keras._impl.keras.layers.convolutional_recurrent import *
29 from tensorflow.python.keras._impl.keras.layers.core import *
30 from tensorflow.python.keras._impl.keras.layers.embeddings import *
31 from tensorflow.python.keras._impl.keras.layers.local import *
32 from tensorflow.python.keras._impl.keras.layers.merge import *
33 from tensorflow.python.keras._impl.keras.layers.noise import *
34 from tensorflow.python.keras._impl.keras.layers.normalization import *
35 from tensorflow.python.keras._impl.keras.layers.pooling import *
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/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/
Dtopology_test.py47 a = keras.layers.Input(shape=(1,))
48 dense_layer = keras.layers.Dense(1)
59 a = keras.layers.Input(shape=(1,))
60 dense_layer = keras.layers.Dense(1)
71 a = keras.layers.Input(shape=(2,))
72 b = keras.layers.Dense(1)(a)
87 model.layers[1].trainable = False
93 model.add(keras.layers.Dense(1, input_dim=2))
107 model.layers[0].trainable = False
113 a = keras.layers.Input(shape=(2,))
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/external/walt/hardware/kicad/walt_footprints.pretty/
DTeensy_DIP-28_W15.24mm.kicad_mod14 (pad 1 thru_hole circle (at 0 0) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
15 (pad 2 thru_hole circle (at 0 2.54) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
16 (pad 3 thru_hole circle (at 0 5.08) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
17 (pad 4 thru_hole circle (at 0 7.62) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
18 (pad 5 thru_hole circle (at 0 10.16) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
19 (pad 6 thru_hole circle (at 0 12.7) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
20 (pad 7 thru_hole circle (at 0 15.24) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
21 (pad 8 thru_hole circle (at 0 17.78) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
22 (pad 9 thru_hole circle (at 0 20.32) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
23 (pad 10 thru_hole circle (at 0 22.86) (size 1.5 1.5) (drill 1) (layers *.Cu *.Mask F.SilkS))
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/external/vulkan-validation-layers/build-android/cmake/layerlib/
DCMakeLists.txt3 # Validation layers could be built with code from
46 ${SRC_DIR}/layers
49 ${SRC_DIR}/layers/vk_layer_config.cpp
50 ${SRC_DIR}/layers/vk_layer_extension_utils.cpp
51 ${SRC_DIR}/layers/vk_layer_utils.cpp
52 ${SRC_DIR}/layers/vk_format_utils.cpp)
60 # build core_validation layers which including shader validation
64 ${SRC_DIR}/layers/core_validation.cpp
65 ${SRC_DIR}/layers/descriptor_sets.cpp
66 ${SRC_DIR}/layers/buffer_validation.cpp
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/external/scapy/scapy/layers/tls/
Dall.py10 from scapy.layers.tls.cert import *
12 from scapy.layers.tls.automaton_cli import *
13 from scapy.layers.tls.automaton_srv import *
14 from scapy.layers.tls.extensions import *
15 from scapy.layers.tls.handshake import *
16 from scapy.layers.tls.handshake_sslv2 import *
17 from scapy.layers.tls.keyexchange import *
18 from scapy.layers.tls.keyexchange_tls13 import *
19 from scapy.layers.tls.record import *
20 from scapy.layers.tls.record_sslv2 import *
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/external/tensorflow/tensorflow/contrib/specs/python/
Dspecs_ops.py25 from tensorflow.contrib.layers.python.layers import layers
80 Cx = Fun(layers.conv2d)
81 Cs = Fun(layers.conv2d, activation_fn=math_ops.sigmoid)
82 Ct = Fun(layers.conv2d, activation_fn=math_ops.tanh)
83 Cr = Fun(layers.conv2d, activation_fn=nn_ops.relu)
84 Cm = Fun(layers.conv2d, activation_fn=nn_ops.softmax)
85 Cl = Fun(layers.conv2d, activation_fn=None)
89 Fx = Fun(layers.fully_connected)
90 Fs = Fun(layers.fully_connected, activation_fn=math_ops.sigmoid)
91 Ft = Fun(layers.fully_connected, activation_fn=math_ops.tanh)
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/external/tensorflow/tensorflow/python/keras/_impl/keras/
Dintegration_test.py25 from tensorflow.python.layers import core as tf_core_layers
26 from tensorflow.python.layers import network as tf_network_layers
45 keras.layers.Dense(16,
48 keras.layers.Dropout(0.1),
49 keras.layers.Dense(y_train.shape[-1], activation='softmax')
70 inputs = keras.layers.Input(shape=x_train.shape[1:])
71 x = keras.layers.Dense(16, activation='relu')(inputs)
72 x = keras.layers.Dropout(0.1)(x)
73 outputs = keras.layers.Dense(y_train.shape[-1], activation='softmax')(x)
96 model.add(keras.layers.LSTM(5, return_sequences=True,
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Dmodels_test.py45 model.add(keras.layers.Dense(2, input_shape=(3,)))
46 model.add(keras.layers.RepeatVector(3))
47 model.add(keras.layers.TimeDistributed(keras.layers.Dense(3)))
90 model.add(keras.layers.Dense(2, input_shape=(3,)))
91 model.add(keras.layers.Dense(3))
117 inputs = keras.layers.Input(shape=(3,))
118 x = keras.layers.Dense(2)(inputs)
119 output = keras.layers.Dense(3)(x)
146 model.add(keras.layers.Dense(2, input_shape=(3,)))
147 model.add(keras.layers.Dense(3))
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/external/drm_hwcomposer/
Dplatform.cpp40 std::map<size_t, DrmHwcLayer *> &layers, bool use_squash_fb, DrmCrtc *crtc, in ProvisionPlanes() argument
64 if (layers.size() > planes.size()) { in ProvisionPlanes()
77 int ret = i->ProvisionPlanes(&composition, layers, crtc, &planes); in ProvisionPlanes()
93 std::map<size_t, DrmHwcLayer *> &layers, DrmCrtc *crtc, in ProvisionPlanes() argument
97 for (auto i = layers.begin(); i != layers.end();) { in ProvisionPlanes()
109 i = layers.erase(i); in ProvisionPlanes()
117 for (auto i = layers.begin(); i != layers.end();) { in ProvisionPlanes()
138 i = layers.erase(i); in ProvisionPlanes()
145 std::map<size_t, DrmHwcLayer *> &layers, DrmCrtc *crtc, in ProvisionPlanes() argument
159 for (auto i = layers.begin(); i != layers.end();) { in ProvisionPlanes()
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/external/tensorflow/tensorflow/tools/dist_test/python/
Dcensus_widendeep.py53 gender = tf.contrib.layers.sparse_column_with_keys(
55 race = tf.contrib.layers.sparse_column_with_keys(
62 education = tf.contrib.layers.sparse_column_with_hash_bucket(
64 marital_status = tf.contrib.layers.sparse_column_with_hash_bucket(
66 relationship = tf.contrib.layers.sparse_column_with_hash_bucket(
68 workclass = tf.contrib.layers.sparse_column_with_hash_bucket(
70 occupation = tf.contrib.layers.sparse_column_with_hash_bucket(
72 native_country = tf.contrib.layers.sparse_column_with_hash_bucket(
76 age = tf.contrib.layers.real_valued_column("age")
77 age_buckets = tf.contrib.layers.bucketized_column(
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