Auto-generating sphinx docs

main/_sources/tutorials/export-to-executorch-tutorial.rst.txt

@@ -585,27 +585,27 @@ there is only one program, it will by default be saved to the name "forward".
 
  .. code-block:: none
 
-    Edge Dialect graph of encode
+    Edge Dialect graph of decode
     ExportedProgram:
         class GraphModule(torch.nn.Module):
-            def forward(self, x: "f32[1, 10]"):
-                 # File: /pytorch/executorch/docs/source/tutorials_source/export-to-executorch-tutorial.py:261 in forward, code: return torch.nn.functional.linear(x, torch.randn(5, 10))
-                aten_randn_default: "f32[5, 10]" = executorch_exir_dialects_edge__ops_aten_randn_default([5, 10], device = device(type='cpu'), pin_memory = False)
-                aten_permute_copy_default: "f32[10, 5]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_randn_default, [1, 0]);  aten_randn_default = None
-                aten_mm_default: "f32[1, 5]" = executorch_exir_dialects_edge__ops_aten_mm_default(x, aten_permute_copy_default);  x = aten_permute_copy_default = None
+            def forward(self, x: "f32[1, 5]"):
+                 # File: /pytorch/executorch/docs/source/tutorials_source/export-to-executorch-tutorial.py:266 in forward, code: return torch.nn.functional.linear(x, torch.randn(10, 5))
+                aten_randn_default: "f32[10, 5]" = executorch_exir_dialects_edge__ops_aten_randn_default([10, 5], device = device(type='cpu'), pin_memory = False)
+                aten_permute_copy_default: "f32[5, 10]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_randn_default, [1, 0]);  aten_randn_default = None
+                aten_mm_default: "f32[1, 10]" = executorch_exir_dialects_edge__ops_aten_mm_default(x, aten_permute_copy_default);  x = aten_permute_copy_default = None
                 return (aten_mm_default,)
             
     Graph signature: ExportGraphSignature(input_specs=[InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='x'), target=None, persistent=None)], output_specs=[OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='aten_mm_default'), target=None)])
     Range constraints: {}
 
-    Edge Dialect graph of decode
+    Edge Dialect graph of encode
     ExportedProgram:
         class GraphModule(torch.nn.Module):
-            def forward(self, x: "f32[1, 5]"):
-                 # File: /pytorch/executorch/docs/source/tutorials_source/export-to-executorch-tutorial.py:266 in forward, code: return torch.nn.functional.linear(x, torch.randn(10, 5))
-                aten_randn_default: "f32[10, 5]" = executorch_exir_dialects_edge__ops_aten_randn_default([10, 5], device = device(type='cpu'), pin_memory = False)
-                aten_permute_copy_default: "f32[5, 10]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_randn_default, [1, 0]);  aten_randn_default = None
-                aten_mm_default: "f32[1, 10]" = executorch_exir_dialects_edge__ops_aten_mm_default(x, aten_permute_copy_default);  x = aten_permute_copy_default = None
+            def forward(self, x: "f32[1, 10]"):
+                 # File: /pytorch/executorch/docs/source/tutorials_source/export-to-executorch-tutorial.py:261 in forward, code: return torch.nn.functional.linear(x, torch.randn(5, 10))
+                aten_randn_default: "f32[5, 10]" = executorch_exir_dialects_edge__ops_aten_randn_default([5, 10], device = device(type='cpu'), pin_memory = False)
+                aten_permute_copy_default: "f32[10, 5]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_randn_default, [1, 0]);  aten_randn_default = None
+                aten_mm_default: "f32[1, 5]" = executorch_exir_dialects_edge__ops_aten_mm_default(x, aten_permute_copy_default);  x = aten_permute_copy_default = None
                 return (aten_mm_default,)
             
     Graph signature: ExportGraphSignature(input_specs=[InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='x'), target=None, persistent=None)], output_specs=[OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='aten_mm_default'), target=None)])
@@ -1278,7 +1278,7 @@ Links Mentioned
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.534 seconds)
+   **Total running time of the script:** (0 minutes 1.464 seconds)
 
 
 .. _sphx_glr_download_tutorials_export-to-executorch-tutorial.py:

main/_sources/tutorials/sdk-integration-tutorial.rst.txt

@@ -405,7 +405,7 @@ Links Mentioned
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.217 seconds)
+   **Total running time of the script:** (0 minutes 1.419 seconds)
 
 
 .. _sphx_glr_download_tutorials_sdk-integration-tutorial.py:

main/_sources/tutorials/sg_execution_times.rst.txt

@@ -6,10 +6,10 @@
 
 Computation times
 =================
-**00:02.751** total execution time for **tutorials** files:
+**00:02.883** total execution time for **tutorials** files:
 
 +---------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_export-to-executorch-tutorial.py` (``export-to-executorch-tutorial.py``) | 00:01.534 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_export-to-executorch-tutorial.py` (``export-to-executorch-tutorial.py``) | 00:01.464 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_sdk-integration-tutorial.py` (``sdk-integration-tutorial.py``)           | 00:01.217 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_sdk-integration-tutorial.py` (``sdk-integration-tutorial.py``)           | 00:01.419 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------+-----------+--------+