| /external/tensorflow/tensorflow/python/kernel_tests/ |
| conv1d_test.py | 33 """Test that argument passing to conv1d is handled properly."""
35 # dtypes.float64, as conv1d implicitly calls conv2d after expand_dims.
46 c = nn_ops.conv1d(x, filters, stride, padding="VALID")
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| /external/tensorflow/tensorflow/python/layers/ |
| layers.py | 22 @@Conv1D
44 @@conv1d
90 from tensorflow.python.layers.convolutional import Conv1D
101 from tensorflow.python.layers.convolutional import conv1d
|
| convolutional_test.py | 148 layer = conv_layers.Conv1D(32, 3, activation=nn_ops.relu)
150 self.assertEqual(output.op.name, 'conv1d/Relu')
158 output = conv_layers.conv1d(data, 32, 3, activation=nn_ops.relu)
164 layer = conv_layers.Conv1D(32, 3, data_format='channels_first')
172 layer = conv_layers.Conv1D(32, 3, activation=nn_ops.relu)
179 layer = conv_layers.Conv1D(32, 3, data_format='channels_first')
295 # Conv1D
298 conv1d = conv_layers.Conv1D(2, 3,
302 conv1d(inputs
[all...] |
| convolutional.py | 226 @tf_export('layers.Conv1D')
227 class Conv1D(_Conv):
316 @tf_export('layers.conv1d')
317 def conv1d(inputs, function
393 layer = Conv1D(
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| rev_block_lib_test.py | 190 x = convolutional.conv1d(x, self.CHANNELS // 2, 3, padding="same")
192 x = convolutional.conv1d(x, self.CHANNELS // 2, 3, padding="same")
239 x = convolutional.conv1d(
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| /external/clang/test/SemaCXX/ |
| cxx1y-deduced-return-type.cpp | 21 int conv1d = conv1.operator int(); // expected-error {{no member named 'operator int'}} variable
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| /external/tensorflow/tensorflow/examples/speech_commands/ |
| models.py | 493 activations_time = tf.nn.conv1d(
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| backend_test.py | 739 y = keras.backend.conv1d(x, k, strides=(1,),
745 y = keras.backend.conv1d(x, k, strides=(1,),
751 y = keras.backend.conv1d(x, k, strides=(1,),
757 y = keras.backend.conv1d(x, k, strides=(2,),
[all...] |
| backend.py | 3582 def conv1d(x, function
[all...] |
| /external/tensorflow/tensorflow/contrib/keras/api/keras/backend/ |
| __init__.py | 43 from tensorflow.python.keras._impl.keras.backend import conv1d
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| /external/tensorflow/tensorflow/python/keras/backend/ |
| __init__.py | 43 from tensorflow.python.keras._impl.keras.backend import conv1d
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| /external/tensorflow/tensorflow/python/ops/ |
| nn_ops.py | 151 # conv1d uses the 2-d data format names
184 # Note that we need this adapter since argument names for conv1d don't match
188 return conv1d(
2375 def conv1d(value, function
[all...] |
| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| rnn_cell.py | [all...] |
