diff --git a/docs/2.0/_images/RReLU.png b/docs/2.0/_images/RReLU.png index 6260ce6f95c7..7ff9896de77d 100644 Binary files a/docs/2.0/_images/RReLU.png and b/docs/2.0/_images/RReLU.png differ diff --git a/docs/2.0/_modules/torch/onnx/utils.html b/docs/2.0/_modules/torch/onnx/utils.html index ae68ecc8d631..af7aa2d49d19 100644 --- a/docs/2.0/_modules/torch/onnx/utils.html +++ b/docs/2.0/_modules/torch/onnx/utils.html @@ -1927,6 +1927,15 @@

Source code for torch.onnx.utils

     if export_type is None:
         export_type = _exporter_states.ExportTypes.PROTOBUF_FILE
 
+    # Discussed deprecation with Nikita Shulga and Sergii Dymchenko from Meta
+    if _C_onnx._CAFFE2_ATEN_FALLBACK:
+        warnings.warn(
+            "Caffe2 ONNX exporter is deprecated in version 2.0 and will be "
+            "removed in 2.2. Please use PyTorch 2.1 or older for this capability.",
+            category=FutureWarning,
+            stacklevel=2,
+        )
+
     if isinstance(model, torch.nn.DataParallel):
         raise ValueError(
             "torch.nn.DataParallel is not supported by ONNX "
diff --git a/docs/2.0/_modules/torch/profiler/profiler.html b/docs/2.0/_modules/torch/profiler/profiler.html
index b0e8a5c69c1f..055f1ed14a8b 100644
--- a/docs/2.0/_modules/torch/profiler/profiler.html
+++ b/docs/2.0/_modules/torch/profiler/profiler.html
@@ -846,7 +846,7 @@ 
Source code for torch.profiler.profiler
                 torch.profiler.ProfilerActivity.CUDA,
             ],
 
-            # In this example with wait=1, warmup=1, active=2,
+            # In this example with wait=1, warmup=1, active=2, repeat=1,
             # profiler will skip the first step/iteration,
             # start warming up on the second, record
             # the third and the forth iterations,
@@ -857,7 +857,8 @@ 
Source code for torch.profiler.profiler
             schedule=torch.profiler.schedule(
                 wait=1,
                 warmup=1,
-                active=2),
+                active=2,
+                repeat=1),
             on_trace_ready=trace_handler
             # on_trace_ready=torch.profiler.tensorboard_trace_handler('./log')
             # used when outputting for tensorboard
diff --git a/docs/2.0/profiler.html b/docs/2.0/profiler.html
index 96ec78af18ae..e297b5324111 100644
--- a/docs/2.0/profiler.html
+++ b/docs/2.0/profiler.html
@@ -661,7 +661,7 @@ 
API Referencetorch.profiler.ProfilerActivity.CUDA,
     ],
 
-    # In this example with wait=1, warmup=1, active=2,
+    # In this example with wait=1, warmup=1, active=2, repeat=1,
     # profiler will skip the first step/iteration,
     # start warming up on the second, record
     # the third and the forth iterations,
@@ -672,7 +672,8 @@ 
API Referenceschedule=torch.profiler.schedule(
         wait=1,
         warmup=1,
-        active=2),
+        active=2,
+        repeat=1),
     on_trace_ready=trace_handler
     # on_trace_ready=torch.profiler.tensorboard_trace_handler('./log')
     # used when outputting for tensorboard
diff --git a/docs/2.0/quantization-backend-configuration.html b/docs/2.0/quantization-backend-configuration.html
index 4943367e62e8..c4a39b051a5f 100644
--- a/docs/2.0/quantization-backend-configuration.html
+++ b/docs/2.0/quantization-backend-configuration.html
@@ -479,7 +479,7 @@ 
Default values for native configurationsOperator Tags
 class torch.Tag
 
Members:

-
pointwise

-
dynamic_output_shape

+
inplace_view

+
nondeterministic_bitwise

+
core

 
data_dependent_output

 
generated

-
view_copy

-
core

-
inplace_view

+
pointwise

+
dynamic_output_shape

 
nondeterministic_seeded

-
nondeterministic_bitwise

+
view_copy

 

 

 property name