Searched refs:conv_layers (Results 1 - 5 of 5) sorted by relevance

/external/tensorflow/tensorflow/python/layers/
H A Dconvolutional_test.py26 from tensorflow.python.layers import convolutional as conv_layers namespace
44 conv_layers.conv2d(images, 32, 3, data_format='invalid')
50 conv_layers.conv2d(images, 32, 3, strides=(1, 2, 3))
53 conv_layers.conv2d(images, 32, 3, strides=None)
59 conv_layers.conv2d(images, 32, (1, 2, 3))
62 conv_layers.conv2d(images, 32, None)
67 layer = conv_layers.Conv2D(32, [3, 3], activation=nn_ops.relu)
78 output = conv_layers.conv2d(images, 32, [3, 3], activation=nn_ops.relu)
85 layer = conv_layers.Conv2D(32, 3)
95 layer = conv_layers
[all...]
H A Dmaxout_test.py24 from tensorflow.python.layers import convolutional as conv_layers namespace
50 graph = conv_layers.conv2d(inputs, 10, 3, padding="SAME")
56 graph = conv_layers.conv2d(inputs, 3, 10, strides=(1, 1))
H A Dnormalization_test.py27 from tensorflow.python.layers import convolutional as conv_layers namespace
44 conv = conv_layers.conv2d(
/external/tensorflow/tensorflow/python/grappler/
H A Dlayout_optimizer_test.py34 from tensorflow.python.layers import convolutional as conv_layers namespace
167 conv = conv_layers.separable_conv2d if depthwise else conv_layers.conv2d
229 conv1 = conv_layers.conv2d(image, 32, [3, 3])
230 conv2 = conv_layers.conv2d(conv1, 32, [3, 3])
/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/
H A Dtopology.py1510 conv_layers = ['Conv1D', 'Conv2D', 'Conv3D', 'Conv2DTranspose', 'ConvLSTM2D']
1511 if layer.__class__.__name__ in conv_layers:

Completed in 127 milliseconds