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Searched refs:max_pool2d (Results 1 – 22 of 22) sorted by relevance

/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/
Dvgg.py102 [layers.conv2d, layers_lib.max_pool2d],
106 net = layers_lib.max_pool2d(net, [2, 2], scope='pool1')
108 net = layers_lib.max_pool2d(net, [2, 2], scope='pool2')
110 net = layers_lib.max_pool2d(net, [2, 2], scope='pool3')
112 net = layers_lib.max_pool2d(net, [2, 2], scope='pool4')
114 net = layers_lib.max_pool2d(net, [2, 2], scope='pool5')
167 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d],
171 net = layers_lib.max_pool2d(net, [2, 2], scope='pool1')
173 net = layers_lib.max_pool2d(net, [2, 2], scope='pool2')
175 net = layers_lib.max_pool2d(net, [2, 2], scope='pool3')
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Dinception_v1.py65 [layers.conv2d, layers_lib.max_pool2d], stride=1, padding='SAME'):
72 net = layers_lib.max_pool2d(net, [3, 3], stride=2, scope=end_point)
87 net = layers_lib.max_pool2d(net, [3, 3], stride=2, scope=end_point)
105 branch_3 = layers_lib.max_pool2d(
127 branch_3 = layers_lib.max_pool2d(
137 net = layers_lib.max_pool2d(net, [3, 3], stride=2, scope=end_point)
155 branch_3 = layers_lib.max_pool2d(
177 branch_3 = layers_lib.max_pool2d(
199 branch_3 = layers_lib.max_pool2d(
221 branch_3 = layers_lib.max_pool2d(
[all …]
Doverfeat.py55 with arg_scope([layers_lib.max_pool2d], padding='VALID') as arg_sc:
96 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d],
100 net = layers_lib.max_pool2d(net, [2, 2], scope='pool1')
102 net = layers_lib.max_pool2d(net, [2, 2], scope='pool2')
106 net = layers_lib.max_pool2d(net, [2, 2], scope='pool5')
Dalexnet.py59 with arg_scope([layers_lib.max_pool2d], padding='VALID') as arg_sc:
99 [layers.conv2d, layers_lib.fully_connected, layers_lib.max_pool2d],
103 net = layers_lib.max_pool2d(net, [3, 3], 2, scope='pool1')
105 net = layers_lib.max_pool2d(net, [3, 3], 2, scope='pool2')
109 net = layers_lib.max_pool2d(net, [3, 3], 2, scope='pool5')
Dinception_v2.py84 layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d,
115 net = layers_lib.max_pool2d(net, [3, 3], scope=end_point, stride=2)
137 net = layers_lib.max_pool2d(net, [3, 3], scope=end_point, stride=2)
234 branch_2 = layers_lib.max_pool2d(
403 branch_2 = layers_lib.max_pool2d(
470 branch_3 = layers_lib.max_pool2d(net, [3, 3], scope='MaxPool_0a_3x3')
Dinception_v3.py107 [layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d],
131 net = layers_lib.max_pool2d(net, [3, 3], stride=2, scope=end_point)
149 net = layers_lib.max_pool2d(net, [3, 3], stride=2, scope=end_point)
157 [layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d],
263 branch_2 = layers_lib.max_pool2d(
427 branch_2 = layers_lib.max_pool2d(
584 [layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d],
Dresnet_utils.py84 return layers.max_pool2d(inputs, [1, 1], stride=factor, scope=scope)
269 with arg_scope([layers.max_pool2d], padding='SAME') as arg_sc:
Dresnet_v1.py206 net = layers_lib.max_pool2d(net, [3, 3], stride=2, scope='pool1')
Dresnet_v2.py215 net = layers.max_pool2d(net, [3, 3], stride=2, scope='pool1')
/external/tensorflow/tensorflow/contrib/receptive_field/python/util/
Dgraph_compute_order_test.py47 l3 = slim.max_pool2d(l2, [3, 3], stride=2, scope='L3', padding='SAME')
Dparse_layer_parameters_test.py49 l3 = slim.max_pool2d(l2, [3, 3], stride=2, scope='L3', padding='SAME')
Dreceptive_field_test.py82 l2 = slim.max_pool2d(l2_pad, [3, 3], stride=2, scope='L2', padding='VALID')
83 l3 = slim.max_pool2d(l2, [1, 1], stride=2, scope='L3', padding='VALID')
/external/tensorflow/tensorflow/contrib/slim/
DREADME.md216 MaxPool2D | [slim.max_pool2d](https://www.tensorflow.org/code/tensorflow/contrib/layers/python/laye…
232 net = slim.max_pool2d(net, [2, 2], scope='pool2')
241 net = slim.max_pool2d(net, [2, 2], scope='pool2')
248 net = slim.max_pool2d(net, [2, 2], scope='pool2')
395 net = slim.max_pool2d(net, [2, 2], scope='pool1')
397 net = slim.max_pool2d(net, [2, 2], scope='pool2')
399 net = slim.max_pool2d(net, [2, 2], scope='pool3')
401 net = slim.max_pool2d(net, [2, 2], scope='pool4')
403 net = slim.max_pool2d(net, [2, 2], scope='pool5')
/external/tensorflow/tensorflow/contrib/specs/python/
Dspecs_ops.py98 Mp = Fun(layers.max_pool2d)
/external/tensorflow/tensorflow/python/layers/
Dpooling.py477 max_pool2d = max_pooling2d variable
/external/tensorflow/tensorflow/python/ops/parallel_for/
Dgradients_test.py240 self.max_pool2d = tf_layers.MaxPooling2D(
256 y = self.max_pool2d(y)
258 y = self.max_pool2d(y)
/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dlayers_test.py3036 _layers.max_pool2d(images, [3, 3], data_format='CHWN')
3041 output = _layers.max_pool2d(images, [3, 3])
3048 output = _layers.max_pool2d(images, [3, 3], data_format='NCHW')
3054 output = _layers.max_pool2d(images, [3, 3], outputs_collections='outputs')
3062 output = _layers.max_pool2d(images, 3)
3069 output = _layers.max_pool2d(images, [3, 3], scope='pool1')
3075 output = _layers.max_pool2d(images, [3, 3], padding='SAME')
3081 output = _layers.max_pool2d(
3088 output = _layers.max_pool2d(images, [3, 3], stride=1, padding='SAME')
3094 output = _layers.max_pool2d(images, images.get_shape()[1:3], stride=1)
Dlayers.py2367 def max_pool2d(inputs, function
/external/tensorflow/tensorflow/contrib/specs/
DREADME.md30 - `Mp` = tf.contrib.layers.max_pool2d
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.nn.pbtxt216 name: "max_pool2d"
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.nn.pbtxt264 name: "max_pool2d"
/external/tensorflow/tensorflow/python/ops/
Dnn_ops.py3747 def max_pool2d(input, ksize, strides, padding, data_format="NHWC", name=None): function