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Searched refs:relu_layer (Results 1 – 5 of 5) sorted by relevance

/external/tensorflow/tensorflow/contrib/autograph/examples/notebooks/
Ddev_summit_2018_demo.ipynb1110 " relu_layer = tf.layers.Dense(3, activation=tf.nn.relu)\n",
1111 " relu_layer.build(tf.TensorShape((None, 128)))\n",
1112 " return lower_cell, upper_cell, relu_layer\n",
1144 "def model(inputs, lower_cell, upper_cell, relu_layer, batch_size, training):\n",
1154 " relu_layer: An object of type tf.layers.Dense\n",
1172 " return relu_layer(sequence_ends)\n",
1203 … "def train(optimizer, train_data, lower_cell, upper_cell, relu_layer, batch_size, num_steps):\n",
1208 …" predictions = model((chars, sequence_length), lower_cell, upper_cell, relu_layer, batch_size,…
1217 "def test(eval_data, lower_cell, upper_cell, relu_layer, batch_size, num_steps):\n",
1223 …" predictions = model((chars, sequence_length), lower_cell, upper_cell, relu_layer, batch_size,…
[all …]
Drnn_keras_estimator.ipynb191 " self.relu_layer = tf.layers.Dense(3, activation=tf.nn.relu)\n",
219 " self.relu_layer.build(tf.TensorShape((None, 128))) \n",
247 " return self.relu_layer(sequence_ends)\n",
/external/tensorflow/tensorflow/compiler/tf2tensorrt/convert/
Dconvert_nodes.cc2891 nvinfer1::IActivationLayer* relu_layer = in ConvertRelu6() local
2895 TFTRT_RETURN_ERROR_IF_NULLPTR(relu_layer, node_def.name()); in ConvertRelu6()
2901 params->converter->ProvideQuantizationRange(relu_layer->getOutput(0), 0.0f, in ConvertRelu6()
2907 params, 6.0f, relu_layer->getOutput(0)->getDimensions(), &const6_tensor)); in ConvertRelu6()
2914 *const_cast<nvinfer1::ITensor*>(relu_layer->getOutput(0)), in ConvertRelu6()
/external/tensorflow/tensorflow/python/ops/
Dnn_impl.py317 def relu_layer(x, weights, biases, name=None): function
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.nn.pbtxt324 name: "relu_layer"