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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2018-06-07 08:54:49 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-06-07 08:57:39 -0700 |
| commit | f66782cacfefedf638dc845d83629057f6d57059 (patch) | |
| tree | ec0f0307149650a6109dc4c0419ab8b39a4a83c4 /tensorflow/contrib/layers | |
| parent | 537e8c7a28b6b793eb570c957c4e90bf81ce9c3b (diff) | |
Add convolution and convolution1d to the public API
PiperOrigin-RevId: 199642103
Diffstat (limited to 'tensorflow/contrib/layers')
| -rw-r--r-- | tensorflow/contrib/layers/__init__.py | 2 | ||||
| -rw-r--r-- | tensorflow/contrib/layers/python/layers/layers.py | 8 | ||||
| -rw-r--r-- | tensorflow/contrib/layers/python/layers/layers_test.py | 23 |
3 files changed, 29 insertions, 4 deletions
diff --git a/tensorflow/contrib/layers/__init__.py b/tensorflow/contrib/layers/__init__.py index 00f03a111a..bc33596935 100644 --- a/tensorflow/contrib/layers/__init__.py +++ b/tensorflow/contrib/layers/__init__.py @@ -19,6 +19,8 @@ See the @{$python/contrib.layers} guide. @@avg_pool2d @@avg_pool3d @@batch_norm +@@convolution +@@convolution1d @@convolution2d @@convolution3d @@conv2d_in_plane diff --git a/tensorflow/contrib/layers/python/layers/layers.py b/tensorflow/contrib/layers/python/layers/layers.py index b7194ae333..b6d63c9640 100644 --- a/tensorflow/contrib/layers/python/layers/layers.py +++ b/tensorflow/contrib/layers/python/layers/layers.py @@ -57,10 +57,10 @@ from tensorflow.python.training import moving_averages __all__ = [ 'avg_pool2d', 'avg_pool3d', 'batch_norm', 'bias_add', 'conv2d', 'conv3d', 'conv2d_in_plane', 'conv2d_transpose', 'conv3d_transpose', 'convolution', - 'convolution2d', 'convolution2d_in_plane', 'convolution2d_transpose', - 'convolution3d', 'convolution3d_transpose', 'dense_to_sparse', - 'dropout', 'elu', 'flatten', 'fully_connected', 'GDN', 'gdn', - 'images_to_sequence', 'layer_norm', 'linear', 'pool', 'max_pool2d', + 'convolution1d', 'convolution2d', 'convolution2d_in_plane', + 'convolution2d_transpose', 'convolution3d', 'convolution3d_transpose', + 'dense_to_sparse', 'dropout', 'elu', 'flatten', 'fully_connected', 'GDN', + 'gdn', 'images_to_sequence', 'layer_norm', 'linear', 'pool', 'max_pool2d', 'max_pool3d', 'one_hot_encoding', 'relu', 'relu6', 'repeat', 'scale_gradient', 'separable_conv2d', 'separable_convolution2d', 'sequence_to_images', 'softmax', 'spatial_softmax', 'stack', 'unit_norm', diff --git a/tensorflow/contrib/layers/python/layers/layers_test.py b/tensorflow/contrib/layers/python/layers/layers_test.py index b01fd5d5c9..0e8c89fe3a 100644 --- a/tensorflow/contrib/layers/python/layers/layers_test.py +++ b/tensorflow/contrib/layers/python/layers/layers_test.py @@ -1312,6 +1312,29 @@ class ConvolutionInPlaneTest(test.TestCase): self.assertAllClose(result, expected, rtol=1e-5, atol=1e-5) + def testConv1dShape(self): + width = 7 + with self.test_session(): + images = random_ops.random_uniform((5, width, 3), seed=1) + output = layers_lib.convolution1d(images, 32, 3) + self.assertEqual(output.op.name, 'Conv/Relu') + self.assertListEqual(output.get_shape().as_list(), [5, width, 32]) + + def testConvInferSpatialDims(self): + depth, height, width = 7, 9, 11 + with self.test_session(): + images = np.random.uniform(size=(5, width, 4)).astype(np.float32) + output = layers_lib.convolution(images, 32, [3]) + self.assertListEqual(output.get_shape().as_list(), [5, width, 32]) + images = np.random.uniform(size=(5, height, width, 4)).astype(np.float32) + output = layers_lib.convolution(images, 32, [3, 3]) + self.assertListEqual(output.get_shape().as_list(), [5, height, width, 32]) + images = np.random.uniform(size=(5, depth, height, width, + 4)).astype(np.float32) + output = layers_lib.convolution(images, 32, [3, 3, 3]) + self.assertListEqual(output.get_shape().as_list(), + [5, depth, height, width, 32]) + class DenseToSparseTest(test.TestCase): |