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-rw-r--r--docs/source/jit.rst31
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