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209209 < div class ="version ">
210- < a href ='https://pytorch.org/docs/versions.html '> master (1.11.0a0+git51ae9cc ) ▼</ a >
210+ < a href ='https://pytorch.org/docs/versions.html '> master (1.11.0a0+git8fa5cde ) ▼</ a >
211211 </ div >
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@@ -871,7 +871,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
871871 < span class ="s2 "> "if this method is not scripted, copy the python method onto the scripted model"</ span >
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874- < div class =" viewcode-block " id =" export " > < a class =" viewcode-back " href =" ../../jit.html#torch.jit.export " > [docs] </ a > < span class ="k "> def</ span > < span class ="nf "> export</ span > < span class ="p "> (</ span > < span class ="n "> fn</ span > < span class ="p "> ):</ span >
874+ < span class ="k "> def</ span > < span class ="nf "> export</ span > < span class ="p "> (</ span > < span class ="n "> fn</ span > < span class ="p "> ):</ span >
875875 < span class ="sd "> """</ span >
876876< span class ="sd "> This decorator indicates that a method on an ``nn.Module`` is used as an entry point into a</ span >
877877< span class ="sd "> :class:`ScriptModule` and should be compiled.</ span >
@@ -914,10 +914,10 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
914914< span class ="sd "> m = torch.jit.script(MyModule())</ span >
915915< span class ="sd "> """</ span >
916916 < span class ="n "> fn</ span > < span class ="o "> .</ span > < span class ="n "> _torchscript_modifier</ span > < span class ="o "> =</ span > < span class ="n "> FunctionModifiers</ span > < span class ="o "> .</ span > < span class ="n "> EXPORT</ span >
917- < span class ="k "> return</ span > < span class ="n "> fn</ span > </ div >
917+ < span class ="k "> return</ span > < span class ="n "> fn</ span >
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920- < span class ="k "> def</ span > < span class ="nf "> unused</ span > < span class ="p "> (</ span > < span class ="n "> fn</ span > < span class ="p "> ):</ span >
920+ < div class =" viewcode-block " id =" unused " > < a class =" viewcode-back " href =" ../../generated/torch.jit.unused.html#torch.jit.unused " > [docs] </ a > < span class ="k "> def</ span > < span class ="nf "> unused</ span > < span class ="p "> (</ span > < span class ="n "> fn</ span > < span class ="p "> ):</ span >
921921 < span class ="sd "> """</ span >
922922< span class ="sd "> This decorator indicates to the compiler that a function or method should</ span >
923923< span class ="sd "> be ignored and replaced with the raising of an exception. This allows you</ span >
@@ -964,7 +964,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
964964 < span class ="k "> return</ span > < span class ="n "> prop</ span >
965965
966966 < span class ="n "> fn</ span > < span class ="o "> .</ span > < span class ="n "> _torchscript_modifier</ span > < span class ="o "> =</ span > < span class ="n "> FunctionModifiers</ span > < span class ="o "> .</ span > < span class ="n "> UNUSED</ span >
967- < span class ="k "> return</ span > < span class ="n "> fn</ span >
967+ < span class ="k "> return</ span > < span class ="n "> fn</ span > </ div >
968968
969969< span class ="c1 "> # No op context manager from python side</ span >
970970< span class ="k "> class</ span > < span class ="nc "> _IgnoreContextManager</ span > < span class ="p "> (</ span > < span class ="n "> contextlib</ span > < span class ="o "> .</ span > < span class ="n "> AbstractContextManager</ span > < span class ="p "> ):</ span >
@@ -974,7 +974,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
974974 < span class ="k "> def</ span > < span class ="fm "> __exit__</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> exc_type</ span > < span class ="p "> :</ span > < span class ="n "> Any</ span > < span class ="p "> ,</ span > < span class ="n "> exc_value</ span > < span class ="p "> :</ span > < span class ="n "> Any</ span > < span class ="p "> ,</ span > < span class ="n "> traceback</ span > < span class ="p "> :</ span > < span class ="n "> Any</ span > < span class ="p "> )</ span > < span class ="o "> -></ span > < span class ="kc "> None</ span > < span class ="p "> :</ span >
975975 < span class ="k "> pass</ span >
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977- < span class ="k "> def</ span > < span class ="nf "> ignore</ span > < span class ="p "> (</ span > < span class ="n "> drop</ span > < span class ="o "> =</ span > < span class ="kc "> False</ span > < span class ="p "> ,</ span > < span class ="o "> **</ span > < span class ="n "> kwargs</ span > < span class ="p "> ):</ span >
977+ < div class =" viewcode-block " id =" ignore " > < a class =" viewcode-back " href =" ../../generated/torch.jit.ignore.html#torch.jit.ignore " > [docs] </ a > < span class ="k "> def</ span > < span class ="nf "> ignore</ span > < span class ="p "> (</ span > < span class ="n "> drop</ span > < span class ="o "> =</ span > < span class ="kc "> False</ span > < span class ="p "> ,</ span > < span class ="o "> **</ span > < span class ="n "> kwargs</ span > < span class ="p "> ):</ span >
978978 < span class ="sd "> """</ span >
979979< span class ="sd "> This decorator indicates to the compiler that a function or method should</ span >
980980< span class ="sd "> be ignored and left as a Python function. This allows you to leave code in</ span >
@@ -1065,7 +1065,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
10651065 < span class ="k "> else</ span > < span class ="p "> :</ span >
10661066 < span class ="n "> fn</ span > < span class ="o "> .</ span > < span class ="n "> _torchscript_modifier</ span > < span class ="o "> =</ span > < span class ="n "> FunctionModifiers</ span > < span class ="o "> .</ span > < span class ="n "> IGNORE</ span >
10671067 < span class ="k "> return</ span > < span class ="n "> fn</ span >
1068- < span class ="k "> return</ span > < span class ="n "> decorator</ span >
1068+ < span class ="k "> return</ span > < span class ="n "> decorator</ span > </ div >
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10711071< span class ="k "> def</ span > < span class ="nf "> _copy_to_script_wrapper</ span > < span class ="p "> (</ span > < span class ="n "> fn</ span > < span class ="p "> ):</ span >
@@ -1363,7 +1363,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
13631363 < span class ="nb "> globals</ span > < span class ="p "> ()[</ span > < span class ="sa "> f</ span > < span class ="s2 "> "BroadcastingList</ span > < span class ="si "> {</ span > < span class ="n "> i</ span > < span class ="si "> }</ span > < span class ="s2 "> "</ span > < span class ="p "> ]</ span > < span class ="o "> =</ span > < span class ="n "> BroadcastingList1</ span >
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1366- < div class =" viewcode-block " id =" is_scripting " > < a class =" viewcode-back " href =" ../../jit_language_reference.html#torch.jit.is_scripting " > [docs] </ a > < span class ="k "> def</ span > < span class ="nf "> is_scripting</ span > < span class ="p "> ()</ span > < span class ="o "> -></ span > < span class ="nb "> bool</ span > < span class ="p "> :</ span >
1366+ < span class ="k "> def</ span > < span class ="nf "> is_scripting</ span > < span class ="p "> ()</ span > < span class ="o "> -></ span > < span class ="nb "> bool</ span > < span class ="p "> :</ span >
13671367 < span class ="sa "> r</ span > < span class ="sd "> """</ span >
13681368< span class ="sd "> Function that returns True when in compilation and False otherwise. This</ span >
13691369< span class ="sd "> is useful especially with the @unused decorator to leave code in your</ span >
@@ -1382,7 +1382,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
13821382< span class ="sd "> else:</ span >
13831383< span class ="sd "> return unsupported_linear_op(x)</ span >
13841384< span class ="sd "> """</ span >
1385- < span class ="k "> return</ span > < span class ="kc "> False</ span > </ div >
1385+ < span class ="k "> return</ span > < span class ="kc "> False</ span >
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13881388< span class ="c1 "> # Retrieves a fully-qualified name (module hierarchy + classname) for a given obj.</ span >
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