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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