| /external/perfetto/test/trace_processor/graphics/ |
| D | graphics_frame_events.out | 7 6,"Buffer: 2 layer2",0,"Dequeue",12,"layer2"
8 6,"APP_2 layer2",3,"12",12,"layer2"
11 8,"Buffer: 2 layer2",0,"AcquireFenceSignaled",12,"layer2"
13 9,"Buffer: 2 layer2",0,"Queue",12,"layer2"
14 11,"Buffer: 2 layer2",0,"Latch",12,"layer2"
15 11,"SF_2 layer2",5,"12",12,"layer2"
18 16,"Buffer: 2 layer2",0,"PresentFenceSignaled",12,"layer2"
19 16,"Display_layer2",-1,"12",12,"layer2"
31 53,"Buffer: 2 layer2",0,"Dequeue",24,"layer2"
32 53,"APP_2 layer2",-1,"0",0,"layer2"
[all …]
|
| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | mirrored_variable_test.py | 79 layer2 = core.Dense(1)
80 layer2(features)
88 return [(layer1.kernel, layer1.bias), (layer2.kernel, layer2.bias),
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | deferred_sequential_test.py | 135 for layer1, layer2 in zip(model_layers, new_model_layers):
136 self.assertEqual(layer1.name, layer2.name)
137 for w1, w2 in zip(layer1.weights, layer2.weights):
153 for layer1, layer2 in zip(model_layers, new_model_layers):
154 self.assertEqual(layer1.name, layer2.name)
155 for w1, w2 in zip(layer1.weights, layer2.weights):
|
| D | sequential_test.py | 426 layer2 = keras.layers.Dense(2)
427 model.add(layer2)
430 layer2)
435 layer2)
|
| D | base_layer_test.py | 197 self.layer2 = layers.Dense(3)
203 return self.layer2(inputs)
219 self.layer2 = layers.Dense(3)
225 return self.layer2(inputs)
|
| D | training_test.py | 842 self.layer2 = AddWeightLayer(shared_trainable_var,
846 return self.layer2(self.layer1(inputs))
850 self.assertEqual(layers, [l.layer1, l.layer2])
|
| /external/tensorflow/tensorflow/python/keras/ |
| D | regularizers_test.py | 59 def create_multi_input_model_from(self, layer1, layer2): argument
63 out2 = layer2(input_2)
189 layer1=models[0], layer2=models[1])
|
| /external/libopus/src/ |
| D | mlp_data.c | 667 const DenseLayer layer2 = { variable
|
| D | mlp.h | 54 extern const DenseLayer layer2;
|
| D | analysis.c | 934 compute_dense(&layer2, frame_probs, tonal->rnn_state); in tonality_analysis()
|
| /external/tensorflow/tensorflow/go/ |
| D | session_test.go | 83 layer2 := make([]Output, len(inputs))
106 layer2[i] = l2.Output(0)
112 OutputList(layer2),
|
| /external/tensorflow/tensorflow/python/keras/legacy_tf_layers/ |
| D | base_test.py | 488 layer2, op2 = _gen_layer(op1)
494 self.assertEqual(layer2.my_var.name, 'my_layer_2/my_var:0')
501 layer2, op2 = _gen_layer(op1, name='name_2')
507 self.assertEqual(layer2.my_var.name, 'name_2/my_var:0')
514 layer2, op2 = _gen_layer(op1, name='name_3')
520 self.assertEqual(layer2.my_var.name, 'name_3/my_var:0')
|
| /external/python/pyasn1/tests/codec/der/ |
| D | test_encoder.py | 494 layer2 = univ.Choice(
503 namedtype.OptionalNamedType('inner', layer2),
550 layer2 = univ.SequenceOf(
556 namedtype.OptionalNamedType('inner', layer2),
|
| /external/python/pyasn1/tests/codec/cer/ |
| D | test_encoder.py | 873 layer2 = univ.Choice(
882 namedtype.OptionalNamedType('inner', layer2),
928 layer2 = univ.SequenceOf(
934 namedtype.OptionalNamedType('inner', layer2),
|
| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | tracking_test.py | 295 layer2 = core.Dense(1)
297 d["b"] = layer2
298 self.assertEqual([layer1, layer2], root.wrapper.layers)
|
| D | model_subclassing_test.py | 94 self.layer2 = keras.layers.Dense(1, activation='relu')
97 return self.layer2(self.layer1(inputs))
|
| /external/tensorflow/tensorflow/python/ops/numpy_ops/g3doc/ |
| D | TensorFlow_Numpy_Distributed_Image_Classification.ipynb | 238 " self.layer2 = Dense(32)\n",
243 " x = self.layer2(x)\n",
248 " return self.layer1.params + self.layer2.params + self.layer3.params"
|
| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | saved_model_experimental_test.py | 192 self.layer2 = keras.layers.Dense(1)
195 return self.layer2(self.layer1(inp))
|
| /external/tensorflow/tensorflow/python/keras/mixed_precision/ |
| D | keras_test.py | 735 layer2 = MultiplyLayerWithoutAutoCast(
744 y = layer2(y)
776 for layer in (layer1, layer2, layer3, layer4):
|
| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | image_preprocessing_test.py | 1420 layer2 = image_preprocessing.RandomHeight(.5, seed=123)
1421 seq = sequential.Sequential([layer1, layer2])
|
| /external/wpa_supplicant_8/wpa_supplicant/ |
| D | README | 152 Optional libraries for layer2 packet processing:
|
| /external/tcpdump/tests/ |
| D | bgp-as-path-oobr-ssl.out | 26067 …layer2-info (0x800a), Flags [vendor-specific]: Ethernet (VLAN) Tagged Mode Control Flags [0xac]:MT…
26175 …layer2-info (0x800a), Flags [vendor-specific]: Ethernet (VLAN) Tagged Mode Control Flags [0xac]:MT…
|
| D | bgp-as-path-oobr-nossl.out | 26067 …layer2-info (0x800a), Flags [vendor-specific]: Ethernet (VLAN) Tagged Mode Control Flags [0xac]:MT…
26175 …layer2-info (0x800a), Flags [vendor-specific]: Ethernet (VLAN) Tagged Mode Control Flags [0xac]:MT…
|