diff options
Diffstat (limited to 'tensorflow/python/kernel_tests/conv1d_test.py')
-rw-r--r-- | tensorflow/python/kernel_tests/conv1d_test.py | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/tensorflow/python/kernel_tests/conv1d_test.py b/tensorflow/python/kernel_tests/conv1d_test.py index b67a4e3f89..d92797a7d3 100644 --- a/tensorflow/python/kernel_tests/conv1d_test.py +++ b/tensorflow/python/kernel_tests/conv1d_test.py @@ -17,6 +17,9 @@ from __future__ import absolute_import from __future__ import division from __future__ import print_function +import numpy as np +from six.moves import xrange # pylint: disable=redefined-builtin + from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.ops import array_ops @@ -49,6 +52,46 @@ class Conv1DTest(test.TestCase): self.assertEqual(len(output), 2) self.assertAllClose(output, [2 * 1 + 1 * 2, 2 * 3 + 1 * 4]) + def testConv1DTranspose(self): + with self.test_session(): + stride = 2 + + # Input, output: [batch, width, depth] + x_shape = [2, 4, 3] + y_shape = [2, 9, 2] + + # Filter: [kernel_width, output_depth, input_depth] + f_shape = [3, 2, 3] + + x = constant_op.constant( + 1.0, shape=x_shape, name="x", dtype=dtypes.float32) + f = constant_op.constant( + 1.0, shape=f_shape, name="filter", dtype=dtypes.float32) + output = nn_ops.conv1d_transpose( + x, f, y_shape, stride=stride, padding="VALID") + value = output.eval() + + cache_values = np.zeros(y_shape, dtype=np.float32) + + # The amount of padding added + pad = 1 + + for n in xrange(x_shape[0]): + for k in xrange(f_shape[1]): + for w in xrange(pad, y_shape[1] - pad): + target = 3.0 + # We add a case for locations divisible by the stride. + w_in = w % stride == 0 and w > pad and w < y_shape[1] - 1 - pad + if w_in: + target += 3.0 + cache_values[n, w, k] = target + + # copy values in the border + cache_values[n, 0, k] = cache_values[n, 1, k] + cache_values[n, -1, k] = cache_values[n, -2, k] + + self.assertAllClose(cache_values, value) + if __name__ == "__main__": test.main() |