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author | Shanqing Cai <cais@google.com> | 2017-03-31 09:31:36 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-03-31 10:47:23 -0700 |
commit | 0fe523ac05f1f49145f4b243953a7aad331ea4dc (patch) | |
tree | bf66a785d933f929d9447126cd0627942f83a909 | |
parent | 93e822ea4f16ec33110ef4d2bb24d2f9aa2e9eaa (diff) |
tfdbg doc: fix code blocks under numbered bullets
Change: 151838508
-rw-r--r-- | tensorflow/docs_src/programmers_guide/debugger.md | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/tensorflow/docs_src/programmers_guide/debugger.md b/tensorflow/docs_src/programmers_guide/debugger.md index 7ecddc548f..6f442e6e0c 100644 --- a/tensorflow/docs_src/programmers_guide/debugger.md +++ b/tensorflow/docs_src/programmers_guide/debugger.md @@ -418,8 +418,9 @@ that the graph contains, this kind of disk space issue can happen. There are three possible workarounds or solutions: 1. The constructors of `LocalCLIDebugWrapperSession` and `LocalCLIDebugHook` - provide a keyword argument, `dump_root`, with which you can specify the path + provide a keyword argument, `dump_root`, with which you can specify the path to which **tfdbg** dumps the debug data. For example: + ``` python # For LocalCLIDebugWrapperSession sess = tf_debug.LocalCLIDebugWrapperSession(dump_root="/with/lots/of/space") @@ -432,6 +433,7 @@ There are three possible workarounds or solutions: 2. Reduce the batch size used during the runs. 3. Use the filtering options of **tfdbg**'s `run` command to watch only specific nodes in the graph. For example: + ``` tfdbg> run --node_name_filter .*hidden.* tfdbg> run --op_type_filter Variable.* |