diff options
Diffstat (limited to 'tensorflow/compiler/tf2xla/python/xla.py')
| -rw-r--r-- | tensorflow/compiler/tf2xla/python/xla.py | 12 |
1 files changed, 7 insertions, 5 deletions
diff --git a/tensorflow/compiler/tf2xla/python/xla.py b/tensorflow/compiler/tf2xla/python/xla.py index 27dd18a9bb..bc7924c371 100644 --- a/tensorflow/compiler/tf2xla/python/xla.py +++ b/tensorflow/compiler/tf2xla/python/xla.py @@ -212,9 +212,9 @@ bitcast_convert_type = array_ops.bitcast def broadcast(x, dims, name=None): x = ops.convert_to_tensor(x) - shape = array_ops.concat( - [constant_op.constant(dims), - array_ops.shape(x)], axis=0) + shape = array_ops.concat([constant_op.constant(dims), + array_ops.shape(x)], + axis=0) return array_ops.broadcast_to(x, shape, name=name) @@ -332,12 +332,13 @@ def reduce_window(operand, init: a scalar tensor representing the initial value for the reduction reducer: a reduction function that combines a pair of scalars. window_dimensions: shape of the window, as a list of integers - window_strides: inter-window strides, as a list of integers. Optional; - if omitted, defaults to strides of 1. + window_strides: inter-window strides, as a list of integers. Optional; if + omitted, defaults to strides of 1. padding: padding to apply to 'operand'. List of (low, high) pairs of integers that specify the padding to apply before and after each dimension. Optional; if omitted, defaults to no padding. name: the operator name, or None. + Returns: A tensor that represents the output of the reduce_window operator. """ @@ -377,4 +378,5 @@ def slice(x, start_dims, limit_dims, strides): sort = gen_xla_ops.xla_sort +key_value_sort = gen_xla_ops.xla_key_value_sort while_loop = gen_xla_ops.xla_while |