diff options
| author |  Peter Hawkins <phawkins@google.com> | 2018-09-26 14:59:42 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-26 15:08:52 -0700 |
| commit | dc90d6c486f2ec1741766b0989e6f6e842d94437 (patch) | |
| tree | 6e81a94617c78722b4b05b325d302340cf1c4cb2 /tensorflow/compiler/tf2xla | |
| parent | 82af048bc8c3c044c98a27b1c4c27bb62d4e4a14 (diff) | |
[TF:XLA] Fix XLA lowering of TF BroadcastTo operator.
PiperOrigin-RevId: 214675055
Diffstat (limited to 'tensorflow/compiler/tf2xla')
| -rw-r--r-- | tensorflow/compiler/tf2xla/kernels/broadcast_to_op.cc | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/tensorflow/compiler/tf2xla/kernels/broadcast_to_op.cc b/tensorflow/compiler/tf2xla/kernels/broadcast_to_op.cc index 4bd7c74dca..696c1c39be 100644 --- a/tensorflow/compiler/tf2xla/kernels/broadcast_to_op.cc +++ b/tensorflow/compiler/tf2xla/kernels/broadcast_to_op.cc @@ -64,10 +64,9 @@ class BroadcastToOp : public XlaOpKernel { output_shape.DebugString())); broadcast_dims.push_back(broadcast_shape.size()); - if (output_dims[i] == input_dims[i] || input_dims[i] == 1) { + if (output_dims[i] == input_dims[i]) { broadcast_shape.push_back(output_dims[i]); - } - if (output_dims[i] != input_dims[i]) { + } else if (output_dims[i] != input_dims[i]) { // Add dimensions [I, O/I], which we will later flatten to just // [O]. We must do this in two phases since XLA broadcasting does not // support tiling. |