| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | __init__.py | 15 """Keras layers API."""
19 # Generic layers.
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
36 # Convolution layers.
37 from tensorflow.python.keras.layers.convolutional import Conv1D
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| D | merge.py | 17 """Layers that can merge several inputs into one."""
217 @keras_export('keras.layers.Add')
230 >>> y = tf.keras.layers.Add()([x1, x2])
236 >>> input1 = tf.keras.layers.Input(shape=(16,))
237 >>> x1 = tf.keras.layers.Dense(8, activation='relu')(input1)
238 >>> input2 = tf.keras.layers.Input(shape=(32,))
239 >>> x2 = tf.keras.layers.Dense(8, activation='relu')(input2)
240 >>> # equivalent to `added = tf.keras.layers.add([x1, x2])`
241 >>> added = tf.keras.layers.Add()([x1, x2])
242 >>> out = tf.keras.layers.Dense(4)(added)
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| /external/armnn/src/armnn/ |
| D | LayersFwd.hpp | 9 #include "layers/ActivationLayer.hpp"
10 #include "layers/AdditionLayer.hpp"
11 #include "layers/ArgMinMaxLayer.hpp"
12 #include "layers/BatchMatMulLayer.hpp"
13 #include "layers/BatchNormalizationLayer.hpp"
14 #include "layers/BatchToSpaceNdLayer.hpp"
15 #include "layers/CastLayer.hpp"
16 #include "layers/ChannelShuffleLayer.hpp"
17 #include "layers/ComparisonLayer.hpp"
18 #include "layers/ConcatLayer.hpp"
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| /external/tensorflow/tensorflow/python/layers/ |
| D | layers.py | 17 """This library provides a set of high-level neural networks layers."""
22 from tensorflow.python.layers.base import Layer
24 # Core layers.
25 from tensorflow.python.layers.core import Dense
26 from tensorflow.python.layers.core import Dropout
27 from tensorflow.python.layers.core import Flatten
29 from tensorflow.python.layers.core import dense
30 from tensorflow.python.layers.core import dropout
31 from tensorflow.python.layers.core import flatten
33 # Convolutional layers.
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| /external/vulkan-validation-layers/ |
| D | BUILD.gn | 18 # Fuchsia has non-upstream changes to the vulkan layers, so we don't want
44 "layers/gpu_validation.cpp",
74 # The validation layers
79 "layers",
80 "layers/generated",
86 # "layers/generated/vk_safe_struct.cpp",
87 "layers/buffer_validation.cpp",
88 "layers/buffer_validation.h",
89 "layers/core_validation.cpp",
90 "layers/core_validation.h",
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| /external/armnn/ |
| D | Android.bp | 124 "src/armnn/layers/ActivationLayer.cpp",
125 "src/armnn/layers/AdditionLayer.cpp",
126 "src/armnn/layers/ArgMinMaxLayer.cpp",
127 "src/armnn/layers/BatchMatMulLayer.cpp",
128 "src/armnn/layers/BatchNormalizationLayer.cpp",
129 "src/armnn/layers/BatchToSpaceNdLayer.cpp",
130 "src/armnn/layers/CastLayer.cpp",
131 "src/armnn/layers/ChannelShuffleLayer.cpp",
132 "src/armnn/layers/ComparisonLayer.cpp",
133 "src/armnn/layers/ConcatLayer.cpp",
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| D | CMakeLists.txt | 184 src/armnn/layers/LayerCloneBase.hpp
185 src/armnn/layers/LayerWithParameters.hpp
186 src/armnn/layers/ActivationLayer.hpp
187 src/armnn/layers/ActivationLayer.cpp
188 src/armnn/layers/AdditionLayer.hpp
189 src/armnn/layers/AdditionLayer.cpp
190 src/armnn/layers/ArgMinMaxLayer.hpp
191 src/armnn/layers/ArgMinMaxLayer.cpp
192 src/armnn/layers/BatchMatMulLayer.hpp
193 src/armnn/layers/BatchMatMulLayer.cpp
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| /external/vulkan-validation-layers/build-android/jni/ |
| D | Android.mk | 28 LOCAL_SRC_FILES += $(SRC_DIR)/layers/vk_layer_config.cpp
29 LOCAL_SRC_FILES += $(SRC_DIR)/layers/vk_layer_extension_utils.cpp
30 LOCAL_SRC_FILES += $(SRC_DIR)/layers/vk_layer_utils.cpp
31 LOCAL_SRC_FILES += $(SRC_DIR)/layers/vk_format_utils.cpp
33 $(LOCAL_PATH)/$(SRC_DIR)/layers/generated \
34 $(LOCAL_PATH)/$(SRC_DIR)/layers
44 LOCAL_SRC_FILES += $(SRC_DIR)/layers/core_validation.cpp
45 LOCAL_SRC_FILES += $(SRC_DIR)/layers/drawdispatch.cpp
46 LOCAL_SRC_FILES += $(SRC_DIR)/layers/descriptor_sets.cpp
47 LOCAL_SRC_FILES += $(SRC_DIR)/layers/buffer_validation.cpp
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| /external/drm_hwcomposer/backend/ |
| D | Backend.cpp | 31 auto layers = display->GetOrderLayersByZPos(); in ValidateDisplay() local
36 if (display->ProcessClientFlatteningState(layers.size() <= 1)) { in ValidateDisplay()
39 client_size = layers.size(); in ValidateDisplay()
40 MarkValidated(layers, client_start, client_size); in ValidateDisplay()
42 std::tie(client_start, client_size) = GetClientLayers(display, layers); in ValidateDisplay()
44 MarkValidated(layers, client_start, client_size); in ValidateDisplay()
46 bool testing_needed = !(client_start == 0 && client_size == layers.size()); in ValidateDisplay()
54 client_size = layers.size(); in ValidateDisplay()
55 MarkValidated(layers, 0, client_size); in ValidateDisplay()
61 display->total_stats().gpu_pixops_ += CalcPixOps(layers, client_start, in ValidateDisplay()
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| /external/webrtc/video/config/ |
| D | encoder_stream_factory.cc | 68 // Need enough layers so that at least the first active one is present. in FindRequiredActiveLayers()
159 std::vector<webrtc::VideoStream> layers; in CreateDefaultVideoStreams() local
220 // Number of spatial layers is signalled differently from different call in CreateDefaultVideoStreams()
264 // Use configured number of temporal layers if set. in CreateDefaultVideoStreams()
271 layers.push_back(layer); in CreateDefaultVideoStreams()
272 return layers; in CreateDefaultVideoStreams()
281 std::vector<webrtc::VideoStream> layers; in CreateSimulcastOrConferenceModeScreenshareStreams() local
288 layers = GetSimulcastConfig(FindRequiredActiveLayers(encoder_config), in CreateSimulcastOrConferenceModeScreenshareStreams()
296 layers[0].min_bitrate_bps = in CreateSimulcastOrConferenceModeScreenshareStreams()
299 // Update the active simulcast layers and configured bitrates. in CreateSimulcastOrConferenceModeScreenshareStreams()
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| D | simulcast.cc | 62 // The maximum number of simulcast layers can be used for
77 // simulcast layers at what bitrates (maximum, target, and minimum).
133 // Multiway: Number of temporal layers for each simulcast stream.
147 RTC_LOG(LS_WARNING) << "Attempt to set number of temporal layers to " in DefaultNumberOfTemporalLayers()
252 std::vector<webrtc::VideoStream>* layers) { in BoostMaxSimulcastLayer() argument
253 if (layers->empty()) in BoostMaxSimulcastLayer()
256 const webrtc::DataRate total_bitrate = GetTotalMaxBitrate(*layers); in BoostMaxSimulcastLayer()
262 layers->back().max_bitrate_bps += bitrate_left.bps(); in BoostMaxSimulcastLayer()
267 const std::vector<webrtc::VideoStream>& layers) { in GetTotalMaxBitrate() argument
268 if (layers.empty()) in GetTotalMaxBitrate()
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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)
63 ${SRC_DIR}/layers/core_validation.cpp
64 ${SRC_DIR}/layers/drawdispatch.cpp
65 ${SRC_DIR}/layers/convert_to_renderpass2.cpp
66 ${SRC_DIR}/layers/descriptor_sets.cpp
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | sequential.py | 24 from tensorflow.python.keras import layers as layer_module
42 SINGLE_LAYER_OUTPUT_ERROR_MSG = ('All layers in a Sequential model should have '
44 'layers, use the functional API.')
49 """`Sequential` groups a linear stack of layers into a `tf.keras.Model`.
57 >>> model.add(tf.keras.layers.Dense(8, input_shape=(16,)))
59 >>> model.add(tf.keras.layers.Dense(4))
64 >>> model.add(tf.keras.layers.Dense(8))
70 >>> model.add(tf.keras.layers.Dense(8))
71 >>> model.add(tf.keras.layers.Dense(4))
75 >>> # continuously as you are adding layers:
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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))
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| D | BMI160.kicad_mod | 13 (pad 6 smd rect (at 0 1.0125 90) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
14 (pad 13 smd rect (at 0 -1.0125 90) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
15 (pad 7 smd rect (at 0.5 1.0125 90) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
16 (pad 5 smd rect (at -0.5 1.0125 90) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
17 (pad 12 smd rect (at 0.5 -1.0125 90) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
18 (pad 14 smd rect (at -0.5 -1.0125 90) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
19 (pad 2 smd rect (at -1.2625 -0.25 180) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
20 (pad 1 smd rect (at -1.2625 -0.75 180) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
21 (pad 3 smd rect (at -1.2625 0.25 180) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
22 (pad 4 smd rect (at -1.2625 0.75 180) (size 0.675 0.25) (layers F.Cu F.Paste F.Mask))
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| /external/tensorflow/tensorflow/python/keras/ |
| D | models.py | 61 """Inserts ancillary layers into the model with the proper order."""
62 # Sort `AddMetric` layers so they agree with metrics_names.
74 """Uses the layers in `layer_map` to make new nodes based on `nodes_by_depth`.
78 layer_fn: Function to clone layers.
79 layer_map: Map from layers in `model` to new layers.
133 except that it creates new layers (and thus new weights) instead
134 of sharing the weights of the existing layers.
136 Input layers are always cloned.
143 layer_fn: callable to be applied on non-input layers in the model. By
148 layers.
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| /external/mesa3d/src/gallium/auxiliary/vl/ |
| D | vl_compositor.c | 335 s->layers[layer].samplers[i] = c->sampler_linear; in set_yuv_layer()
336 pipe_sampler_view_reference(&s->layers[layer].sampler_views[i], sampler_views[i]); in set_yuv_layer()
339 calc_src_and_dst(&s->layers[layer], buffer->width, buffer->height, in set_yuv_layer()
340 src_rect ? *src_rect : default_rect(&s->layers[layer]), in set_yuv_layer()
341 dst_rect ? *dst_rect : default_rect(&s->layers[layer])); in set_yuv_layer()
343 half_a_line = 0.5f / s->layers[layer].zw.y; in set_yuv_layer()
347 s->layers[layer].zw.x = 0.0f; in set_yuv_layer()
348 s->layers[layer].src.tl.y += half_a_line; in set_yuv_layer()
349 s->layers[layer].src.br.y += half_a_line; in set_yuv_layer()
351 s->layers[layer].fs = (y) ? c->fs_yuv.bob.y : c->fs_yuv.bob.uv; in set_yuv_layer()
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| /external/fonttools/Lib/fontTools/colorLib/ |
| D | builder.py | 146 """Build v0 color layers and add to existing COLR table.
163 for baseGlyph, layers in colorGlyphItems:
167 baseRec.NumLayers = len(layers)
170 for layerGlyph, paletteIndex in layers:
197 """Build COLR table from color layers mapping.
207 layers, version 0 is used.
426 for baseGlyph, layers in colorGlyphs.items():
427 if all(_is_colrv0_layer(l) for l in layers):
428 colorGlyphsV0[baseGlyph] = layers
430 colorGlyphsV1[baseGlyph] = layers
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| D | unbuilder.py | 6 layers = []
8 layers = layerList.Paint
9 unbuilder = LayerListUnbuilder(layers)
19 yield from _flatten_layers(paint["Layers"])
25 def __init__(self, layers): argument
26 self.layers = layers
43 layers = list(
47 for childPaint in self.layers[
55 if len(layers) == 1:
56 return layers[0]
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| /external/webrtc/pc/ |
| D | peer_connection_simulcast_unittest.cc | 173 const std::vector<SimulcastLayer>& layers) { in CreateTransceiverInit() argument
175 for (const SimulcastLayer& layer : layers) { in CreateTransceiverInit()
186 const std::vector<SimulcastLayer>& layers, in AddTransceiver() argument
188 auto init = CreateTransceiverInit(layers); in AddTransceiver()
199 void AddRequestToReceiveSimulcast(const std::vector<SimulcastLayer>& layers, in AddRequestToReceiveSimulcast() argument
204 for (const SimulcastLayer& layer : layers) { in AddRequestToReceiveSimulcast()
212 const std::vector<SimulcastLayer>& layers) { in ValidateTransceiverParameters() argument
219 EXPECT_THAT(result_layers, ElementsAreArray(layers)); in ValidateTransceiverParameters()
248 auto layers = CreateLayers({"f"}, true); in TEST_F() local
249 auto transceiver = AddTransceiver(pc.get(), layers); in TEST_F()
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| /external/armnn/docs/ |
| D | 05_02_deserializer_serializer.dox | 14 @section serializersupport Supported Layers
16 This reference guide provides a list of layers which can be serialized by the Arm NN SDK.
20 The Arm NN SDK Serializer currently supports the following layers:
86 More machine learning layers will be supported in future releases.
88 @subsection serializersupportdeprecated Deprecated layers
90 …layers have been deprecated and replaced by others layers. In order to maintain backward compatibi…
106 @section deserializersupport Supported Layers
108 This reference guide provides a list of layers which can be deserialized by the Arm NN SDK.
112 The Arm NN SDK Deserialize parser currently supports the following layers:
178 More machine learning layers will be supported in future releases.
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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 *
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| /external/skia/modules/skottie/ |
| D | skottie.gni | 9 # //modules/skottie/src/layers/BUILD.bazel
10 # //modules/skottie/src/layers/shapelayer/BUILD.bazel
28 # //modules/skottie/src/layers:srcs
29 # //modules/skottie/src/layers/shapelayer:srcs
92 "$_modules/skottie/src/layers/AudioLayer.cpp",
93 "$_modules/skottie/src/layers/FootageLayer.cpp",
94 "$_modules/skottie/src/layers/NullLayer.cpp",
95 "$_modules/skottie/src/layers/PrecompLayer.cpp",
96 "$_modules/skottie/src/layers/SolidLayer.cpp",
97 "$_modules/skottie/src/layers/TextLayer.cpp",
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| /external/webrtc/docs/native-code/rtp-hdrext/video-layers-allocation00/ |
| D | README.md | 1 # Video Layers Allocation
7 **Name:** "Video layers allocation version 0"
10 <http://www.webrtc.org/experiments/rtp-hdrext/video-layers-allocation00>
17 layers and a middle box can choose a layer to relay for each receiver.
19 This extension support temporal layers, multiple spatial layers sent on a single
20 rtp stream (SVC), or independent spatial layers sent on multiple rtp streams
35 // Number of temporal layers |#tl|#tl|#tl|#tl|
60 sl_bm: BitMask of the active Spatial Layers when same for all RTP streams or 0
61 otherwise. 4 bits, thus allows up to 4 spatial layers per RTP streams.
63 slX_bm: BitMask of the active Spatial Layers for RTP stream with index=X.
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| /external/tensorflow/tensorflow/python/keras/legacy_tf_layers/ |
| D | pooling.py | 19 from tensorflow.python.keras import layers as keras_layers
25 @keras_export(v1=['keras.__internal__.legacy.layers.AveragePooling1D'])
26 @tf_export(v1=['layers.AveragePooling1D'])
59 @keras_export(v1=['keras.__internal__.legacy.layers.average_pooling1d'])
60 @tf_export(v1=['layers.average_pooling1d'])
87 warnings.warn('`tf.layers.average_pooling1d` is deprecated and '
89 'Please use `tf.keras.layers.AveragePooling1D` instead.')
98 @keras_export(v1=['keras.__internal__.legacy.layers.MaxPooling1D'])
99 @tf_export(v1=['layers.MaxPooling1D'])
132 @keras_export(v1=['keras.__internal__.legacy.layers.max_pooling1d'])
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