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| author | David Riazati <davidriazati@fb.com> | 2018-12-14 14:14:13 -0800 |
|---|---|---|
| committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | 2018-12-14 14:27:56 -0800 |
| commit | e9fb4d1f11465ef0a2f88caa9fec2311bf53591d (patch) | |
| tree | bbe0fd2eda053a6718e565b93c57f30a44585000 /docs | |
| parent | b316e44a46c97eca10c71932f607106e9ff2a2e3 (diff) | |
| download | pytorch-e9fb4d1f11465ef0a2f88caa9fec2311bf53591d.tar.gz pytorch-e9fb4d1f11465ef0a2f88caa9fec2311bf53591d.tar.bz2 pytorch-e9fb4d1f11465ef0a2f88caa9fec2311bf53591d.zip | |
Fix jit doc codeblocks and tables (#15227)
Summary:
Some of the codeblocks were showing up as normal text and the "unsupported modules" table was formatted incorrectly
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15227
Differential Revision: D13468847
Pulled By: driazati
fbshipit-source-id: eb7375710d4f6eca1d0f44dfc43c7c506300cb1e
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/source/jit.rst | 31 |
1 files changed, 15 insertions, 16 deletions
diff --git a/docs/source/jit.rst b/docs/source/jit.rst index 70c79faec4..ae216803c3 100644 --- a/docs/source/jit.rst +++ b/docs/source/jit.rst @@ -596,6 +596,7 @@ Interpreting Graphs graph of a method named ``bar`` on a ScriptModule by accessing ``.bar.graph``. The example script above produces the graph:: + graph(%len : int) { %15 : int = prim::Constant[value=1]() %9 : bool = prim::Constant[value=1]() @@ -675,7 +676,8 @@ Automatic Trace Checking Gives us the following diagnostic information:: ERROR: Graphs differed across invocations! - Graph diff: + Graph diff:: + graph(%x : Tensor) { %1 : int = prim::Constant[value=0]() %2 : int = prim::Constant[value=0]() @@ -793,21 +795,18 @@ the ``torch`` namespace, all functions in ``torch.nn.functional`` and all modules from ``torch.nn`` are supported in Torch Script, excluding those in the table below. For unsupported modules, we suggest using :meth:`torch.jit.trace`. -===== -Unsupported ``torch.nn`` Modules -===== -``torch.nn.modules.adaptive.AdaptiveLogSoftmaxWithLoss`` -``torch.nn.modules.normalization.CrossMapLRN2d`` -``torch.nn.modules.fold.Fold`` -``torch.nn.modules.fold.Unfold`` -``torch.nn.modules.rnn.GRU`` -``torch.nn.modules.rnn.LSTM`` -``torch.nn.modules.rnn.RNN`` -``torch.nn.modules.rnn.GRUCell`` -``torch.nn.modules.rnn.LSTMCell`` -``torch.nn.modules.rnn.RNNCell`` -===== - +Unsupported ``torch.nn`` Modules :: + + torch.nn.modules.adaptive.AdaptiveLogSoftmaxWithLoss + torch.nn.modules.normalization.CrossMapLRN2d + torch.nn.modules.fold.Fold + torch.nn.modules.fold.Unfold + torch.nn.modules.rnn.GRU + torch.nn.modules.rnn.LSTM + torch.nn.modules.rnn.RNN + torch.nn.modules.rnn.GRUCell + torch.nn.modules.rnn.LSTMCell + torch.nn.modules.rnn.RNNCell .. automodule:: torch.jit.supported_ops |