commit | 6b1e03d5347dd36757a9195755060edf962741aa | [log] [tgz] |
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author | Yuanqiang Liu <liuyuanqiang.yqliu@bytedance.com> | Thu Jul 07 09:57:45 2022 -0700 |
committer | TensorFlower Gardener <gardener@tensorflow.org> | Thu Jul 07 10:01:42 2022 -0700 |
tree | 4ad847aac301d2e6a60dcb794b1a1a588e34373d | |
parent | cc0626cc42b2cb1542c97e3aa450b8aa3ce303c7 [diff] |
PR #56483: [MHLO] unfuse batch norm ops with shape dialect, and split inference … Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/56483 …and training pattern 1. lowering with `shape` dialect. The original lowering pattern is not a Progressive Lowering. As the `shape` dialect is more mature in MLIR, I think lowering dynamic shape pattern with `shape` dialect is more suitable. 2. split inference and training pattern for flexible integration. The original patterns have both `mhlo.batch_norm_inference` and `mhlo.batch_norm_training` lowering pattern. Sometimes we want to only lower one of them, so I split these pattern. Copybara import of the project: -- f2bbaa34d021cf7c66d18d10d0f0a2535bceb54e by liuyuanqiang <liuyuanqiang.yqliu@bytedance.com>: [MHLO] unfuse batch norm ops with shape dialect, and split inference and training pattern Merging this change closes #56483 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/56483 from qingyunqu:fix-unfuse-batch-norm f2bbaa34d021cf7c66d18d10d0f0a2535bceb54e PiperOrigin-RevId: 459537687
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