diff options
Diffstat (limited to 'tensorflow/contrib/signal/python/ops/reconstruction_ops.py')
| -rw-r--r-- | tensorflow/contrib/signal/python/ops/reconstruction_ops.py | 26 |
1 files changed, 16 insertions, 10 deletions
diff --git a/tensorflow/contrib/signal/python/ops/reconstruction_ops.py b/tensorflow/contrib/signal/python/ops/reconstruction_ops.py index 653c030a04..4db8dc2ca0 100644 --- a/tensorflow/contrib/signal/python/ops/reconstruction_ops.py +++ b/tensorflow/contrib/signal/python/ops/reconstruction_ops.py @@ -90,22 +90,28 @@ def overlap_and_add(signal, frame_step, name=None): raise ValueError("frame_step must be an integer. Got %s" % frame_step.dtype) - # If frame_length and frame_step are known at graph construction time, check - # frame_step is less than or equal to frame_length. - frame_step_static = tensor_util.constant_value(frame_step) - if (frame_step_static is not None and signal.shape.ndims is not None and - signal.shape[-1].value is not None and - frame_step_static > signal.shape[-1].value): - raise ValueError( - "frame_step (%d) must be less than or equal to frame_length (%d)" % ( - frame_step_static, signal.shape[-1].value)) - signal_shape = array_ops.shape(signal) # All dimensions that are not part of the overlap-and-add. Can be empty for # rank 2 inputs. outer_dimensions = signal_shape[:-2] + # If frame_length and frame_step are known at graph construction time, check + # frame_step is less than or equal to frame_length. + frame_step_static = tensor_util.constant_value(frame_step) + if (frame_step_static is not None and signal.shape.ndims is not None and + signal.shape[-1].value is not None): + if frame_step_static > signal.shape[-1].value: + raise ValueError( + "frame_step (%d) must be less than or equal to " + "frame_length (%d)" % ( + frame_step_static, signal.shape[-1].value)) + # If frame_length is equal to frame_step, there's no overlap so just + # reshape the tensor. + if frame_step_static == signal.shape[-1].value: + return array_ops.reshape(signal, array_ops.concat( + [outer_dimensions, [-1]], 0)) + signal_rank = array_ops.rank(signal) frames = signal_shape[-2] frame_length = signal_shape[-1] |