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Searched refs:avg_pool2d (Results 1 – 12 of 12) sorted by relevance

/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/
Dinception_v3.py107 [layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d],
157 [layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d],
179 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
206 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
233 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
295 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
328 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
360 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
393 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
464 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
[all …]
Dinception_v2.py84 layers.conv2d, layers_lib.max_pool2d, layers_lib.avg_pool2d,
167 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
202 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
265 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
300 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
335 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
371 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
434 branch_3 = layers_lib.avg_pool2d(net, [3, 3], scope='AvgPool_0a_3x3')
549 net = layers_lib.avg_pool2d(
Dinception_v1.py348 net = layers_lib.avg_pool2d(
/external/tensorflow/tensorflow/contrib/specs/python/
Dspecs_ops.py99 Ap = Fun(layers.avg_pool2d)
/external/tensorflow/tensorflow/python/layers/
Dpooling.py478 avg_pool2d = average_pooling2d variable
/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dlayers_test.py63 _layers.avg_pool2d(images, [3, 3], data_format='CHWN')
68 output = _layers.avg_pool2d(images, [3, 3])
75 output = _layers.avg_pool2d(images, [3, 3], data_format='NCHW')
81 output = _layers.avg_pool2d(images, [3, 3], outputs_collections='outputs')
89 output = _layers.avg_pool2d(images, 3)
96 output = _layers.avg_pool2d(images, [3, 3], scope='pool1')
102 output = _layers.avg_pool2d(images, [3, 3], padding='SAME')
108 output = _layers.avg_pool2d(
115 output = _layers.avg_pool2d(images, [3, 3], stride=1, padding='SAME')
121 output = _layers.avg_pool2d(images, images.get_shape()[1:3], stride=1)
Dlayers.py78 def avg_pool2d(inputs, function
/external/tensorflow/tensorflow/contrib/specs/
DREADME.md31 - `Ap` = tf.contrib.layers.avg_pool2d
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.nn.pbtxt40 name: "avg_pool2d"
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.nn.pbtxt32 name: "avg_pool2d"
/external/tensorflow/tensorflow/python/ops/
Dnn_ops.py3474 def avg_pool2d(input, ksize, strides, padding, data_format="NHWC", name=None): # pylint: disable=r… function
/external/tensorflow/tensorflow/contrib/slim/
DREADME.md213 AvgPool2D | [slim.avg_pool2d](https://www.tensorflow.org/code/tensorflow/contrib/layers/python/laye…