| commit | 9d258510d1740c71aed3d626482c7609a58e1581 | [log] [tgz] |
|---|---|---|
| author | Ran Chen <crccw@google.com> | Tue Nov 09 23:14:01 2021 -0800 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Tue Nov 09 23:21:18 2021 -0800 |
| tree | a7f209e3c4c721f3f9eb300f9da0e0efd40f2b41 | |
| parent | 470d58a83470f8ede3beaa584e6992bc71b7baa6 [diff] |
#tf2xla Support lower cross partition collectives XLA collectives have four differeng group modes (kCrossReplica, kCrossPartition, kCrossReplicaAndPartition, kFlattenedID). The mode is decided by the combination of channel_id and use_global_device_ids. Since TF collectve ops don't have a suitable counterpart of channel_id, the change adds a mode attribute to tf.xla_all_reduce, and sets channel_id according to the mode during lowering. use_global_device_ids is not exposed in mhlo dialect, so we only support kCrossReplica and kCrossReplicaAndPartition to start with. This is to prepare integrate collective v3 ops with XLA. A later will first lower v3 collective ops to tf2xla collective ops, then leverage the existing tf2xla collective ops lowering. PiperOrigin-RevId: 408793988 Change-Id: I126c42b7bf4c0a9c995f36a1c9bdf6bd5f9781c6
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