/external/tensorflow/tensorflow/python/keras/layers/ |
D | __init__.py | 29 from tensorflow.python.keras.layers.advanced_activations import LeakyReLU 30 from tensorflow.python.keras.layers.advanced_activations import PReLU 31 from tensorflow.python.keras.layers.advanced_activations import ELU 32 from tensorflow.python.keras.layers.advanced_activations import ReLU 33 from tensorflow.python.keras.layers.advanced_activations import ThresholdedReLU 34 from tensorflow.python.keras.layers.advanced_activations import Softmax 37 from tensorflow.python.keras.layers.convolutional import Conv1D 38 from tensorflow.python.keras.layers.convolutional import Conv2D 39 from tensorflow.python.keras.layers.convolutional import Conv3D 40 from tensorflow.python.keras.layers.convolutional import Conv2DTranspose [all …]
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D | merge_test.py | 35 i1 = keras.layers.Input(shape=(4, 5)) 36 i2 = keras.layers.Input(shape=(4, 5)) 37 i3 = keras.layers.Input(shape=(4, 5)) 39 add_layer = keras.layers.Add() 68 i1 = keras.layers.Input(shape=(4, 5)) 69 i2 = keras.layers.Input(shape=(4, 5)) 70 i3 = keras.layers.Input(shape=(4, 5)) 72 subtract_layer = keras.layers.Subtract() 103 i1 = keras.layers.Input(shape=(4, 5)) 104 i2 = keras.layers.Input(shape=(4, 5)) [all …]
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D | core_test.py | 39 keras.layers.Dropout, kwargs={'rate': 0.5}, input_shape=(3, 2)) 42 keras.layers.Dropout, 48 dropout = keras.layers.Dropout(0.5) 53 keras.layers.SpatialDropout1D, 59 keras.layers.SpatialDropout2D, 64 keras.layers.SpatialDropout2D, 70 keras.layers.SpatialDropout3D, 75 keras.layers.SpatialDropout3D, 85 keras.layers.Lambda, 90 keras.layers.Lambda, [all …]
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D | wrappers_test.py | 34 class _RNNCellWithConstants(keras.layers.Layer): 79 keras.layers.TimeDistributed( 80 keras.layers.Dense(2), input_shape=(3, 4))) 101 keras.layers.TimeDistributed( 102 keras.layers.Dense(2), input_shape=(3, 4), batch_size=10)) 115 keras.layers.TimeDistributed(x) 121 keras.layers.TimeDistributed( 122 keras.layers.Conv2D(5, (2, 2), padding='same'), 124 model.add(keras.layers.Activation('relu')) 136 keras.layers.TimeDistributed( [all …]
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D | pooling_test.py | 34 testing_utils.layer_test(keras.layers.pooling.GlobalMaxPooling1D, 36 testing_utils.layer_test(keras.layers.pooling.GlobalMaxPooling1D, 40 keras.layers.pooling.GlobalAveragePooling1D, input_shape=(3, 4, 5)) 41 testing_utils.layer_test(keras.layers.pooling.GlobalAveragePooling1D, 48 model.add(keras.layers.Masking(mask_value=0., input_shape=(3, 4))) 49 model.add(keras.layers.GlobalAveragePooling1D()) 60 keras.layers.pooling.GlobalMaxPooling2D, 64 keras.layers.pooling.GlobalMaxPooling2D, 68 keras.layers.pooling.GlobalAveragePooling2D, 72 keras.layers.pooling.GlobalAveragePooling2D, [all …]
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D | serialization.py | 28 from tensorflow.python.keras.layers.advanced_activations import * 29 from tensorflow.python.keras.layers.convolutional import * 30 from tensorflow.python.keras.layers.convolutional_recurrent import * 31 from tensorflow.python.keras.layers.core import * 32 from tensorflow.python.keras.layers.cudnn_recurrent import * 33 from tensorflow.python.keras.layers.embeddings import * 34 from tensorflow.python.keras.layers.local import * 35 from tensorflow.python.keras.layers.merge import * 36 from tensorflow.python.keras.layers.noise import * 37 from tensorflow.python.keras.layers.normalization import * [all …]
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D | cudnn_recurrent_test.py | 41 layer_class=[keras.layers.CuDNNGRU, keras.layers.CuDNNLSTM], 57 layer_class=[keras.layers.CuDNNGRU, keras.layers.CuDNNLSTM], 72 ('cudnngru', keras.layers.CuDNNGRU), 73 ('cudnnlstm', keras.layers.CuDNNLSTM), 81 num_states = 2 if layer_class is keras.layers.CuDNNLSTM else 1 97 ('cudnngru', keras.layers.CuDNNGRU), 98 ('cudnnlstm', keras.layers.CuDNNLSTM), 109 keras.layers.Lambda(lambda t: array_ops.transpose(t, [1, 0, 2]))) 113 keras.layers.Lambda(lambda t: array_ops.transpose(t, [1, 0, 2]))) 123 ('cudnngru', keras.layers.CuDNNGRU), [all …]
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D | advanced_activations_test.py | 35 testing_utils.layer_test(keras.layers.LeakyReLU, 40 testing_utils.layer_test(keras.layers.PReLU, kwargs={}, 44 testing_utils.layer_test(keras.layers.PReLU, 50 testing_utils.layer_test(keras.layers.ELU, 55 testing_utils.layer_test(keras.layers.ThresholdedReLU, 60 testing_utils.layer_test(keras.layers.Softmax, 65 testing_utils.layer_test(keras.layers.ReLU, 72 'LeakyRelu' in keras.layers.ReLU(negative_slope=0.2)(x).name) 74 self.assertTrue('Relu' in keras.layers.ReLU()(x).name) 76 self.assertTrue('Relu6' in keras.layers.ReLU(max_value=6)(x).name) [all …]
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D | local_test.py | 61 keras.layers.LocallyConnected1D, 65 keras.layers.LocallyConnected1D, 91 keras.layers.LocallyConnected1D, 95 layer = keras.layers.LocallyConnected1D(**kwargs) 113 layer = keras.layers.LocallyConnected1D(**kwargs) 152 keras.layers.LocallyConnected2D, 156 keras.layers.LocallyConnected2D, 181 keras.layers.LocallyConnected2D, 185 keras.layers.LocallyConnected2D, 209 keras.layers.LocallyConnected2D, [all …]
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/external/tensorflow/tensorflow/contrib/keras/api/keras/layers/ |
D | __init__.py | 29 from tensorflow.python.keras.layers.advanced_activations import LeakyReLU 30 from tensorflow.python.keras.layers.advanced_activations import PReLU 31 from tensorflow.python.keras.layers.advanced_activations import ELU 32 from tensorflow.python.keras.layers.advanced_activations import ThresholdedReLU 35 from tensorflow.python.keras.layers.convolutional import Conv1D 36 from tensorflow.python.keras.layers.convolutional import Conv2D 37 from tensorflow.python.keras.layers.convolutional import Conv3D 38 from tensorflow.python.keras.layers.convolutional import Conv2DTranspose 39 from tensorflow.python.keras.layers.convolutional import Conv3DTranspose 40 from tensorflow.python.keras.layers.convolutional import SeparableConv2D [all …]
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/external/tensorflow/tensorflow/python/layers/ |
D | layers.py | 26 from tensorflow.python.layers.base import Layer 30 from tensorflow.python.layers.core import Dense 31 from tensorflow.python.layers.core import Dropout 32 from tensorflow.python.layers.core import Flatten 34 from tensorflow.python.layers.core import dense 35 from tensorflow.python.layers.core import dropout 36 from tensorflow.python.layers.core import flatten 39 from tensorflow.python.layers.convolutional import SeparableConv1D 40 from tensorflow.python.layers.convolutional import SeparableConv2D 41 from tensorflow.python.layers.convolutional import SeparableConvolution2D [all …]
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | __init__.py | 22 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 * [all …]
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/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
D | inception_v3.py | 21 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) [all …]
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D | inception_v1.py | 21 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') [all …]
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D | inception_v2.py | 21 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( [all …]
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D | vgg.py | 45 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') [all …]
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D | alexnet.py | 39 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') [all …]
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D | overfeat.py | 35 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') [all …]
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/external/walt/hardware/kicad/walt_footprints.pretty/ |
D | Teensy_DIP-28_W15.24mm.kicad_mod | 14 (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)) [all …]
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/external/scapy/scapy/layers/tls/ |
D | all.py | 10 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 * [all …]
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | topology_test.py | 49 class MyLayer(keras.layers.Layer): 113 layer = keras.layers.BatchNormalization() 123 class MyLayer(keras.layers.Layer): 190 test_layer = keras.layers.Dense(16, name='test_layer') 198 dense = keras.layers.Dense(16, name='dense_1') 215 new_dense = keras.layers.Dense(16) 218 new_dense = keras.layers.Dense(16) 221 new_dense = keras.layers.Dense(16) 224 new_dense = keras.layers.Dense(16) 227 new_dense = keras.layers.Dense(16) [all …]
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/external/tensorflow/tensorflow/contrib/specs/python/ |
D | specs_ops.py | 25 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) [all …]
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | hdf5_format_test.py | 56 a = keras.layers.Input(shape=(2,)) 57 x = keras.layers.Dense(3)(a) 58 b = keras.layers.Dense(1)(x) 107 (keras.layers.Bidirectional(keras.layers.SimpleRNN(2))), 112 (keras.layers.TimeDistributed(keras.layers.Dense(1))), 117 (keras.layers.Conv1D(output_dim, size, use_bias=False)), 122 (keras.layers.Conv2D(output_dim, size, 128 (keras.layers.Conv2DTranspose(output_dim, size, 135 (keras.layers.Conv2DTranspose(output_dim, size, 142 (keras.layers.Conv3D(output_dim, size, [all …]
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/external/vulkan-validation-layers/build-android/jni/ |
D | Android.mk | 25 LOCAL_SRC_FILES += $(SRC_DIR)/layers/vk_layer_config.cpp 26 LOCAL_SRC_FILES += $(SRC_DIR)/layers/vk_layer_extension_utils.cpp 27 LOCAL_SRC_FILES += $(SRC_DIR)/layers/vk_layer_utils.cpp 28 LOCAL_SRC_FILES += $(SRC_DIR)/layers/vk_format_utils.cpp 31 $(LOCAL_PATH)/$(SRC_DIR)/layers 38 LOCAL_SRC_FILES += $(SRC_DIR)/layers/core_validation.cpp 39 LOCAL_SRC_FILES += $(SRC_DIR)/layers/descriptor_sets.cpp 40 LOCAL_SRC_FILES += $(SRC_DIR)/layers/buffer_validation.cpp 41 LOCAL_SRC_FILES += $(SRC_DIR)/layers/shader_validation.cpp 42 LOCAL_SRC_FILES += $(SRC_DIR)/layers/gpu_validation.cpp [all …]
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/external/vulkan-validation-layers/build-android/cmake/layerlib/ |
D | CMakeLists.txt | 3 # 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/convert_to_renderpass2.cpp 66 ${SRC_DIR}/layers/descriptor_sets.cpp [all …]
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