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| author |  Tiezhen WANG <wangtz@google.com> | 2018-08-20 11:45:04 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-20 11:48:07 -0700 |
| commit | 1a6d7f5acd50ed23c38f14e11e563f771a596656 (patch) | |
| tree | 15c2d72cacecd12dd0e710c80b05d07df12d8553 /tensorflow/docs_src | |
| parent | 3e00e39c17124c9945fbad04a551a39ab4144935 (diff) | |
Doc: Update xla example instruction. Otherwise it fails with
2018-08-20 08:28:40.998261: F tensorflow/compiler/xla/service/hlo_graph_dumper.cc:1431] Check failed: graph_renderer !=
nullptr No registered renderer for the HLO graph. Use --xla_hlo_graph_path=PATH to export to local file system
Aborted
PiperOrigin-RevId: 209456948
Diffstat (limited to 'tensorflow/docs_src')
| -rw-r--r-- | tensorflow/docs_src/performance/xla/jit.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/docs_src/performance/xla/jit.md b/tensorflow/docs_src/performance/xla/jit.md index 7202ef47f7..83b3e71566 100644 --- a/tensorflow/docs_src/performance/xla/jit.md +++ b/tensorflow/docs_src/performance/xla/jit.md @@ -133,7 +133,7 @@ Execute the python script to train the model with XLA and turn on a debugging feature of XLA via an environmental variable that outputs the XLA graph. ```shell -TF_XLA_FLAGS=--xla_generate_hlo_graph=.* python mnist_softmax_xla.py +TF_XLA_FLAGS="--xla_hlo_graph_path=/tmp --xla_generate_hlo_graph=.*" python mnist_softmax_xla.py ``` Open the timeline file created (`timeline.ctf.json`). The rendered timeline |