/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/layers/ |
D | fully_connected.py | 37 nn_activations = layers.fully_connected(data, self.params.layer_size) 41 nn_activations = layers.fully_connected(nn_activations, 54 nn_activations = layers.fully_connected(data, 1) 70 nn_activations = [layers.fully_connected(data, self.params.layer_size)] 75 layers.fully_connected(
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/external/tensorflow/tensorflow/lite/kernels/ |
D | fully_connected.cc | 39 namespace fully_connected { namespace 515 fully_connected::Init, fully_connected::Free, fully_connected::Prepare, in Register_FULLY_CONNECTED_REF() 516 fully_connected::Eval<fully_connected::kReference>}; in Register_FULLY_CONNECTED_REF() 522 fully_connected::Init, fully_connected::Free, fully_connected::Prepare, in Register_FULLY_CONNECTED_GENERIC_OPT() 523 fully_connected::Eval<fully_connected::kGenericOptimized>}; in Register_FULLY_CONNECTED_GENERIC_OPT() 530 fully_connected::Init, fully_connected::Free, fully_connected::Prepare, in Register_FULLY_CONNECTED_PIE() 531 fully_connected::Eval<fully_connected::kLegacyPie>}; in Register_FULLY_CONNECTED_PIE()
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/external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
D | identify_lstm.cc | 231 Operator* fully_connected; in Run() local 234 &fully_connected)) { in Run() 240 if (!MatchOperatorInputs(*fully_connected, *model, in Run() 247 if (static_cast<FullyConnectedOperator*>(fully_connected)->weights_format != in Run() 260 fully_connected->inputs[1]; in Run() 262 fully_connected->inputs[2]; in Run() 287 model->GetArray(fully_connected->outputs[0]).data_type; in Run() 319 DeleteArrayIfUnused(fully_connected->outputs[0], model); in Run() 320 model->operators.erase(FindOperator(model, *fully_connected)); in Run()
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/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/ |
D | hybrid_layer_test.py | 23 from tensorflow.contrib.tensor_forest.hybrid.python.layers import fully_connected 48 l1 = fully_connected.FullyConnectedLayer(self.params, 0, None) 51 l2 = fully_connected.FullyConnectedLayer(self.params, 1, None) 54 l3 = fully_connected.FullyConnectedLayer(self.params, 2, None)
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/external/tensorflow/tensorflow/contrib/specs/python/ |
D | specs_ops.py | 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) 92 Fr = Fun(layers.fully_connected, activation_fn=nn_ops.relu) 93 Fm = Fun(layers.fully_connected, activation_fn=nn_ops.softmax) 94 Fl = Fun(layers.fully_connected, activation_fn=None)
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/external/tensorflow/tensorflow/lite/experimental/micro/kernels/ |
D | fully_connected.cc | 27 namespace fully_connected { namespace 176 static TfLiteRegistration r = {fully_connected::Init, fully_connected::Free, in Register_FULLY_CONNECTED() 177 fully_connected::Prepare, in Register_FULLY_CONNECTED() 178 fully_connected::Eval}; in Register_FULLY_CONNECTED()
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D | BUILD | 17 "fully_connected.cc", 52 "fully_connected.cc",
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/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/models/ |
D | hard_decisions_to_data_then_nn.py | 23 from tensorflow.contrib.tensor_forest.hybrid.python.layers import fully_connected 45 fully_connected.FullyConnectedLayer( 58 output = layers.fully_connected(
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D | nn.py | 21 from tensorflow.contrib.tensor_forest.hybrid.python.layers import fully_connected 39 self.layers = [fully_connected.FullyConnectedLayer(
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D | stochastic_soft_decisions_to_data_then_nn.py | 21 from tensorflow.contrib.tensor_forest.hybrid.python.layers import fully_connected 44 fully_connected.FullyConnectedLayer(
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D | k_feature_decisions_to_data_then_nn.py | 22 from tensorflow.contrib.tensor_forest.hybrid.python.layers import fully_connected 42 fully_connected.FullyConnectedLayer(
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D | stochastic_hard_decisions_to_data_then_nn.py | 21 from tensorflow.contrib.tensor_forest.hybrid.python.layers import fully_connected 44 fully_connected.FullyConnectedLayer(
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D | decisions_to_data_then_nn.py | 22 from tensorflow.contrib.tensor_forest.hybrid.python.layers import fully_connected 42 fully_connected.FullyConnectedLayer(
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D | forest_to_data_then_nn.py | 22 from tensorflow.contrib.tensor_forest.hybrid.python.layers import fully_connected 43 fully_connected.FullyConnectedLayer(
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/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
D | overfeat.py | 50 [layers.conv2d, layers_lib.fully_connected], 96 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d],
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D | alexnet.py | 54 [layers.conv2d, layers_lib.fully_connected], 99 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d],
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D | vgg.py | 66 [layers.conv2d, layers_lib.fully_connected], 167 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d], 232 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d],
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/external/tensorflow/tensorflow/contrib/slim/ |
D | README.md | 120 created by a `slim.fully_connected` or `slim.conv2d` layer. Non-model variables 212 FullyConnected | [slim.fully_connected](https://www.tensorflow.org/code/tensorflow/contrib/layers/p… 265 x = slim.fully_connected(x, 32, scope='fc/fc_1') 266 x = slim.fully_connected(x, 64, scope='fc/fc_2') 267 x = slim.fully_connected(x, 128, scope='fc/fc_3') 270 slim.stack(x, slim.fully_connected, [32, 64, 128], scope='fc') 273 In this example, `slim.stack` calls `slim.fully_connected` three times passing 364 with slim.arg_scope([slim.conv2d, slim.fully_connected], 373 net = slim.fully_connected(net, 1000, activation_fn=None, scope='fc') 377 and `weights_regularizer` arguments to the `conv2d` and `fully_connected` layers [all …]
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | layers_test.py | 1439 output = _layers.fully_connected(images, 50) 1454 output = _layers.fully_connected( 1633 for layer_fn in (_layers.fully_connected, layers_lib.relu): 1648 output = _layers.fully_connected(inputs, 32, scope='fc1') 1655 fc = _layers.fully_connected( 1667 _layers.fully_connected(inputs, 32, scope='fc1') 1675 _layers.fully_connected(inputs, 32, scope='fc1') 1677 _layers.fully_connected(inputs, 32, scope='fc1', reuse=True) 1684 _layers.fully_connected(inputs, 32) 1686 _layers.fully_connected(inputs, 32) [all …]
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | composable_model.py | 381 net = layers.fully_connected( 396 logits = layers.fully_connected(
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/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
D | model_utils.py | 33 def fully_connected(inp, function
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/external/tensorflow/tensorflow/lite/g3doc/performance/ |
D | post_training_quantization.md | 24 * [tf.contrib.layers.fully_connected](https://www.tensorflow.org/api_docs/python/tf/contrib/layers…
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/external/tensorflow/tensorflow/contrib/specs/ |
D | README.md | 23 that take an activation function (fully_connected, conv2d), the acronym 28 - `Fx` = tf.contrib.layers.fully_connected; x = activation function, one of s/t/r/l/m 210 784010 fully_connected [17, 10]
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/external/tensorflow/tensorflow/lite/kernels/internal/ |
D | BUILD | 316 "reference/fully_connected.h", 321 "reference/integer_ops/fully_connected.h", 361 "reference/fully_connected.h",
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/external/tensorflow/tensorflow/contrib/quantize/python/ |
D | quantize_parameterized_test.py | 36 fully_connected = layers.fully_connected variable 242 node = fully_connected( 571 node = fully_connected(
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