Searched refs:conv_layers (Results 1 - 5 of 5) sorted by relevance
/external/tensorflow/tensorflow/python/layers/ |
H A D | convolutional_test.py | 26 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 D | maxout_test.py | 24 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))
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H A D | normalization_test.py | 27 from tensorflow.python.layers import convolutional as conv_layers namespace 44 conv = conv_layers.conv2d(
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/external/tensorflow/tensorflow/python/grappler/ |
H A D | layout_optimizer_test.py | 34 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])
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/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/ |
H A D | topology.py | 1510 conv_layers = ['Conv1D', 'Conv2D', 'Conv3D', 'Conv2DTranspose', 'ConvLSTM2D'] 1511 if layer.__class__.__name__ in conv_layers:
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