message: Remove duplicated testConv1DTranspose
diff: @@ -93,45 +93,5 @@ class Conv1DTest(test.TestCase):
  self.assertAllClose(cache_values, value)
  - 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()
  