Searched refs:conv_layers (Results 1 – 4 of 4) sorted by relevance
| /external/tensorflow/tensorflow/python/layers/ |
| D | convolutional_test.py | 26 from tensorflow.python.layers import convolutional as conv_layers unknown
43 conv_layers.conv2d(images, 32, 3, data_format='invalid')
49 conv_layers.conv2d(images, 32, 3, strides=(1, 2, 3))
52 conv_layers.conv2d(images, 32, 3, strides=None)
58 conv_layers.conv2d(images, 32, (1, 2, 3))
61 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)
96 layer = conv_layers.Conv2D(32, [3, 3], data_format='channels_first')
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| D | normalization_test.py | 28 from tensorflow.python.layers import convolutional as conv_layers unknown
46 conv = conv_layers.conv2d(
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| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | hdf5_format.py | 452 conv_layers = ['Conv1D', 'Conv2D', 'Conv3D', 'Conv2DTranspose', 'ConvLSTM2D']
453 if layer.__class__.__name__ in conv_layers:
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| /external/tensorflow/tensorflow/python/grappler/ |
| D | layout_optimizer_test.py | 35 from tensorflow.python.layers import convolutional as conv_layers unknown
171 conv = conv_layers.separable_conv2d if depthwise else conv_layers.conv2d
233 conv1 = conv_layers.conv2d(image, 32, [3, 3])
234 conv2 = conv_layers.conv2d(conv1, 32, [3, 3])
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