s/supress/suppress/ (pytorch#119132)

Signed-off-by: Edward Z. Yang <[email protected]>
Pull Request resolved: pytorch#119132
Approved by: https://github.com/kit1980, https://github.com/malfet

Author: ezyang

Diff for: caffe2/python/onnx/backend.py

@@ -700,7 +700,7 @@ def prepare(cls, model, device='CPU', raw_values_dict=None, **kwargs):
                 opset_version = 1
 
         # Prior to onnx version update to onnx-1.8.0, errors caused by failures in
-        # in the onnx shape inference call were being supressed. Hence a try-catch block
+        # in the onnx shape inference call were being suppressed. Hence a try-catch block
         # is added around the infer_shapes call to avoid these failures and preserve status
         try:
             model = onnx.shape_inference.infer_shapes(model)
@@ -874,7 +874,7 @@ def _onnx_model_to_caffe2_net(cls, onnx_model, device, opset_version, include_in
         device_option = get_device_option(Device(device))
 
         # Prior to onnx version update to onnx-1.8.0, errors caused by failures in
-        # in the onnx shape inference call were being supressed. Hence a try-catch block
+        # in the onnx shape inference call were being suppressed. Hence a try-catch block
         # is added around the infer_shapes call to avoid these failures and preserve status
         try:
             onnx_model = onnx.utils.polish_model(onnx_model)

Diff for: torch/_logging/_internal.py

@@ -215,7 +215,7 @@ def set_logs(
     A component is a set of related features in PyTorch. All of the log
     messages emitted from a given component have their own log levels. If the
     log level of a particular message has priority greater than or equal to its
-    component's log level setting, it is emitted. Otherwise, it is supressed.
+    component's log level setting, it is emitted. Otherwise, it is suppressed.
     This allows you to, for instance, silence large groups of log messages that
     are not relevant to you and increase verbosity of logs for components that
     are relevant. The expected log level values, ordered from highest to lowest

Diff for: torch/testing/_internal/common_utils.py

@@ -2744,12 +2744,12 @@ def _run_custom(self, result=None):
 
         # TODO: Remove this; this is grandfathered in because we suppressed errors
         # on test suite previously
-        # When strict mode is False, supress_errors is True
+        # When strict mode is False, suppress_errors is True
         if compiled:
-            supress_errors = not strict_mode
+            suppress_errors = not strict_mode
         else:
-            supress_errors = torch._dynamo.config.suppress_errors
-        with unittest.mock.patch("torch._dynamo.config.suppress_errors", supress_errors):
+            suppress_errors = torch._dynamo.config.suppress_errors
+        with unittest.mock.patch("torch._dynamo.config.suppress_errors", suppress_errors):
             if TEST_WITH_TORCHINDUCTOR:  # noqa: F821
                 super_run = torch._dynamo.optimize("inductor")(super_run)
             elif TEST_WITH_AOT_EAGER:  # noqa: F821