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Searched refs:relu (Results 1 – 25 of 154) sorted by relevance

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/external/tensorflow/tensorflow/core/graph/
Dquantize_training_test.cc92 Node* relu = test::graph::Relu(g, a); in TEST_F() local
94 Node* m1 = test::graph::Matmul(g, relu, identity, false, false); in TEST_F()
121 FindNode(g, strings::StrCat(relu->name(), "/QuantizeAndDequantizeV2"), in TEST_F()
143 Node* relu = test::graph::Relu(g, a); in TEST_F() local
145 Node* m1 = test::graph::Matmul(g, relu, relu6, false, false); in TEST_F()
172 FindNode(g, strings::StrCat(relu->name(), "/QuantizeAndDequantizeV2"), in TEST_F()
192 Node* relu = test::graph::Relu(g, a); in TEST_F() local
194 Node* m1 = test::graph::Matmul(g, relu, identity, false, false); in TEST_F()
223 FindNode(g, strings::StrCat(relu->name(), "/QuantizeAndDequantizeV2"), in TEST_F()
246 Node* relu = test::graph::Relu(g, a); in TEST_F() local
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/external/tensorflow/tensorflow/contrib/quantize/python/
Dfold_batch_norms_test.py53 (nn_ops.relu, 'Relu', False, False, False, None, False),
55 (nn_ops.relu, 'Relu', True, False, False, None, False),
57 (nn_ops.relu, 'Relu', False, True, False, None, False),
59 (nn_ops.relu, 'Relu', True, True, False, None, False),
62 (nn_ops.relu, 'Relu', False, True, True, 100, False),
64 (nn_ops.relu, 'Relu', True, True, True, 100, False),
66 (nn_ops.relu, 'Relu', False, True, True, 100, True),
68 (nn_ops.relu, 'Relu', True, True, True, 100, True),
74 def _TestFoldConv2d(self, relu, relu_op_name, with_bypass, has_scaling, argument
97 activation_fn = None if with_bypass else relu
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Dquantize_parameterized_test.py47 (nn_ops.relu, 'Relu', False, None),
50 (nn_ops.relu, 'Relu', False, 5000),
53 (nn_ops.relu, 'Relu', True, None),
56 (nn_ops.relu, 'Relu', True, 5000),
367 (nn_ops.relu, 'Relu', False, None, False),
370 (nn_ops.relu, 'Relu', False, 5000, False),
373 (nn_ops.relu, 'Relu', True, None, False),
376 (nn_ops.relu, 'Relu', True, 5000, False),
379 (nn_ops.relu, 'Relu', False, None, True),
382 (nn_ops.relu, 'Relu', False, 5000, True),
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/external/tensorflow/tensorflow/python/keras/layers/
Dtensorflow_op_layer_test.py40 outputs = gen_nn_ops.relu(x)
55 x = gen_nn_ops.relu(x)
56 outputs = gen_nn_ops.relu(x)
63 x = gen_nn_ops.relu(x)
71 x = gen_nn_ops.relu(x)
72 x = gen_nn_ops.relu(x)
116 x = gen_nn_ops.relu(inputs)
179 outputs = gen_nn_ops.relu(inputs)
195 outputs = gen_nn_ops.relu(inputs)
215 x = gen_nn_ops.relu(x)
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Dadvanced_activations.py59 return K.relu(inputs, alpha=self.alpha)
142 pos = K.relu(inputs)
143 neg = -self.alpha * K.relu(-inputs)
316 return K.relu(inputs,
/external/tensorflow/tensorflow/contrib/tensorrt/custom_plugin_examples/
Dplugin_test.py45 relu = nn.relu(a, "relu")
47 relu, [1, 2, 2, 1], [1, 2, 2, 1], "VALID", name="max_pool")
53 v = nn.relu(v)
54 v = nn.relu(v)
/external/tensorflow/tensorflow/core/grappler/optimizers/
Dremapper.cc85 const NodeDef* relu) in Conv2DWithBiasAddAndRelu()
86 : conv2d(conv2d), bias_add(bias_add), relu(relu) {} in Conv2DWithBiasAddAndRelu()
90 const NodeDef* relu = nullptr; member
122 const NodeDef* relu, float epsilon = 0.0) in Conv2DWithBatchNormAndRelu()
125 relu(relu), in Conv2DWithBatchNormAndRelu()
130 const NodeDef* relu = nullptr; member
262 bool FindConv2DWithBiasAndRelu(const RemapperContext& ctx, const NodeDef* relu, in FindConv2DWithBiasAndRelu() argument
267 if (!relu || !IsRelu(*relu) || HasControlFaninOrFanout(ctx.graph_view, relu)) in FindConv2DWithBiasAndRelu()
271 const auto input_port = GraphView::InputPort(relu, 0); in FindConv2DWithBiasAndRelu()
278 !HaveSameDataType(relu, base.bias_add) || in FindConv2DWithBiasAndRelu()
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/external/tensorflow/tensorflow/contrib/receptive_field/python/util/
Dreceptive_field_test.py57 nn.relu(l1 + l3, name='output')
85 nn.relu(l1 + l3, name='output')
110 nn.relu(l1 + l3, name='output')
137 nn.relu(l1 + l3, name='output')
160 nn.relu(l2, name='output')
186 nn.relu(l1 + dropout, name='output')
214 nn.relu(l1 + l3, name='output')
242 l4 = nn.relu(l1 + l3)
249 nn.relu(l5 + l6, name='output')
274 l4 = nn.relu(l1 + l3)
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/external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/
Dresnet50.py76 x = tf.nn.relu(x)
80 x = tf.nn.relu(x)
86 return tf.nn.relu(x)
151 x = tf.nn.relu(x)
155 x = tf.nn.relu(x)
164 return tf.nn.relu(x)
278 x = tf.nn.relu(x)
/external/tensorflow/tensorflow/python/compiler/tensorrt/test/
Dvgg_block_nchw_test.py62 relu = nn.relu(t, "relu")
63 idty = array_ops.identity(relu, "ID")
Dconst_broadcast_test.py46 z1 = nn.relu(y1, name='z1')
50 z2 = nn.relu(y2, name='z')
57 nn.relu(y3, name=output_name)
Dvgg_block_test.py56 relu = nn.relu(t, "relu")
57 idty = array_ops.identity(relu, "ID")
/external/tensorflow/tensorflow/contrib/eager/python/examples/densenet/
Ddensenet.py73 output = self.conv1(tf.nn.relu(output))
76 output = self.conv2(tf.nn.relu(output))
109 output = self.conv(tf.nn.relu(output))
280 output = tf.nn.relu(output)
290 output = tf.nn.relu(output)
/external/tensorflow/tensorflow/python/kernel_tests/
Drelu_op_test.py62 tf_relu = nn_ops.relu(np_features)
85 tf_relu = nn_ops.relu(constant_op.constant(inputs, dtypes.qint8))
98 self.evaluate(nn_ops.relu(inputs))
106 self.evaluate(nn_ops.relu(inputs))
117 *gradient_checker_v2.compute_gradient(nn_ops.relu, [x]))
128 y = nn_ops.l2_loss(nn_ops.relu(x))
166 *gradient_checker_v2.compute_gradient(nn_ops.relu, [x]))
177 y = nn_ops.relu(x)
196 y = nn_ops.relu(x)
212 return nn_ops.relu(x)**2
/external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/
Dnn.py25 relu = core.define_unary_op('relu', nn.relu) variable
Dnn_test.py37 ('relu', nn_ops.relu, nn.relu),
/external/tensorflow/tensorflow/python/layers/
Dcore_test.py46 dense = core_layers.Dense(2, activation=nn_ops.relu, name='my_dense')
48 self.assertEqual(dense.activation, nn_ops.relu)
55 dense = core_layers.Dense(2, activation=nn_ops.relu)
58 dense = core_layers.Dense(2, activation=nn_ops.relu)
73 dense = core_layers.Dense(2, activation=nn_ops.relu, name='my_dense')
93 core_layers.Dense(2, activation=nn_ops.relu, name='my_dense')(inputs)
97 dense = core_layers.Dense(2, activation=nn_ops.relu, name='my_dense')
131 dense = core_layers.Dense(7, activation=nn_ops.relu, name='my_dense')
172 dense = core_layers.Dense(2, activation=nn_ops.relu, name='dense1')
236 inputs, 2, activation=nn_ops.relu, name='my_dense')
[all …]
Dconvolutional_test.py67 layer = conv_layers.Conv2D(32, [3, 3], activation=nn_ops.relu)
78 output = conv_layers.conv2d(images, 32, [3, 3], activation=nn_ops.relu)
106 layer = conv_layers.Conv2D(32, [3, 3], activation=nn_ops.relu)
151 layer = conv_layers.Conv1D(32, 3, activation=nn_ops.relu)
161 output = conv_layers.conv1d(data, 32, 3, activation=nn_ops.relu)
177 layer = conv_layers.Conv1D(32, 3, activation=nn_ops.relu)
194 layer = conv_layers.Conv3D(32, [3, 3, 3], activation=nn_ops.relu)
205 layer = conv_layers.Conv3D(32, [3, 3, 3], activation=nn_ops.relu)
240 32, [3, 3], activation=nn_ops.relu, use_bias=False)
382 layer = conv_layers.SeparableConv1D(32, 3, activation=nn_ops.relu)
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/external/tensorflow/tensorflow/examples/tutorials/layers/
Dcnn_mnist.py43 activation=tf.nn.relu)
61 activation=tf.nn.relu)
78 dense = tf.layers.dense(inputs=pool2_flat, units=1024, activation=tf.nn.relu)
/external/tensorflow/tensorflow/contrib/specs/python/
Dspecs_ops.py83 Cr = Fun(layers.conv2d, activation_fn=nn_ops.relu)
92 Fr = Fun(layers.fully_connected, activation_fn=nn_ops.relu)
118 Relu = Fun(nn_ops.relu)
/external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/
Dcifar10_pruning.py196 conv1 = tf.nn.relu(pre_activation, name=scope.name)
218 conv2 = tf.nn.relu(pre_activation, name=scope.name)
240 local3 = tf.nn.relu(
250 local4 = tf.nn.relu(
/external/tensorflow/tensorflow/contrib/distribute/python/examples/
Dmnist_eager_multigpu.py55 tf.keras.layers.Conv2D(2, 5, padding="same", activation=tf.nn.relu),
57 tf.keras.layers.Conv2D(4, 5, padding="same", activation=tf.nn.relu),
60 tf.keras.layers.Dense(32, activation=tf.nn.relu),
/external/tensorflow/tensorflow/contrib/eager/python/examples/l2hmc/
Dneural_nets.py63 h = tf.nn.relu(h)
65 h = tf.nn.relu(h)
/external/tensorflow/tensorflow/examples/tutorials/mnist/
Dmnist.py64 hidden1 = tf.nn.relu(tf.matmul(images, weights) + biases)
73 hidden2 = tf.nn.relu(tf.matmul(hidden1, weights) + biases)
/external/tensorflow/tensorflow/python/keras/
Dactivations.py144 def relu(x, alpha=0., max_value=None, threshold=0): function
163 return K.relu(x, alpha=alpha, max_value=max_value, threshold=threshold)

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