diff --git a/docs/main/_images/RReLU.png b/docs/main/_images/RReLU.png index 18ad95028015..1bba722d8d3a 100644 Binary files a/docs/main/_images/RReLU.png and b/docs/main/_images/RReLU.png differ diff --git a/docs/main/_modules/index.html b/docs/main/_modules/index.html index a780fc7a29b8..1e3f10a0b15d 100644 --- a/docs/main/_modules/index.html +++ b/docs/main/_modules/index.html @@ -230,7 +230,7 @@
- main (2.1.0a0+git02c2b75 ) ▼ + main (2.1.0a0+gitc1cc74c ) ▼
diff --git a/docs/main/_modules/torch.html b/docs/main/_modules/torch.html index be4cb1352b81..8178be0877b9 100644 --- a/docs/main/_modules/torch.html +++ b/docs/main/_modules/torch.html @@ -230,7 +230,7 @@
- main (2.1.0a0+git02c2b75 ) ▼ + main (2.1.0a0+gitc1cc74c ) ▼
@@ -2187,8 +2187,8 @@

Source code for torch

     device_type = torch.device(device_type).type
     m = sys.modules[__name__]
     if hasattr(m, device_type):
-        raise RuntimeError("The runtime module of '{}' has already "
-                           "been registered with '{}'".format(device_type, getattr(m, device_type)))
+        raise RuntimeError(f"The runtime module of '{device_type}' has already "
+                           f"been registered with '{getattr(m, device_type)}'")
     setattr(m, device_type, module)
     torch_module_name = '.'.join([__name__, device_type])
     sys.modules[torch_module_name] = module
diff --git a/docs/main/_modules/torch/__config__.html b/docs/main/_modules/torch/__config__.html
index 189fa474a7db..1eaeb0400785 100644
--- a/docs/main/_modules/torch/__config__.html
+++ b/docs/main/_modules/torch/__config__.html
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index 7f2af49f7a5e..eb07e48ed879 100644
--- a/docs/main/_modules/torch/_jit_internal.html
+++ b/docs/main/_modules/torch/_jit_internal.html
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diff --git a/docs/main/_modules/torch/_lobpcg.html b/docs/main/_modules/torch/_lobpcg.html
index 878f7ba21393..d2e4bff6e344 100644
--- a/docs/main/_modules/torch/_lobpcg.html
+++ b/docs/main/_modules/torch/_lobpcg.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -1073,8 +1073,8 @@ 
Source code for torch._lobpcg
 
     if m < 3 * n:
         raise ValueError(
-            "LPBPCG algorithm is not applicable when the number of A rows (={})"
-            " is smaller than 3 x the number of requested eigenpairs (={})".format(m, n)
+            f"LPBPCG algorithm is not applicable when the number of A rows (={m})"
+            f" is smaller than 3 x the number of requested eigenpairs (={n})"
         )
 
     method = "ortho" if method is None else method
@@ -1610,9 +1610,7 @@ 
Source code for torch._lobpcg
                 assert B is not None
                 raise ValueError(
                     "Overdetermined shape of U:"
-                    " #B-cols(={}) >= #U-cols(={}) + #V-cols(={}) must hold".format(
-                        B.shape[-1], U.shape[-1], V.shape[-1]
-                    )
+                    f" #B-cols(={B.shape[-1]}) >= #U-cols(={U.shape[-1]}) + #V-cols(={V.shape[-1]}) must hold"
                 )
         self.ivars["ortho_i"] = i
         self.ivars["ortho_j"] = j
diff --git a/docs/main/_modules/torch/_logging/_internal.html b/docs/main/_modules/torch/_logging/_internal.html
index 5e4a4d776034..bf4711430d39 100644
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index 6bf857ea87d5..054b182c5203 100644
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index 7e88a89d1c07..d511d4c17bf1 100644
--- a/docs/main/_modules/torch/_tensor.html
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index 52b3b163b62a..8b82346e74fa 100644
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index cfeeca7d374d..2421a962097b 100644
--- a/docs/main/_modules/torch/_utils.html
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index 875d11902694..5dc84ee2d1fa 100644
--- a/docs/main/_modules/torch/amp/autocast_mode.html
+++ b/docs/main/_modules/torch/amp/autocast_mode.html
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index dc17674819f0..5de9ebb53176 100644
--- a/docs/main/_modules/torch/ao/nn/intrinsic/modules/fused.html
+++ b/docs/main/_modules/torch/ao/nn/intrinsic/modules/fused.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html b/docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html
index 40f0f65d4d9b..214e4dc5d79b 100644
--- a/docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html
+++ b/docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html
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diff --git a/docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html b/docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html
index ab3d4ef2ad29..70e33fd8ec17 100644
--- a/docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html
+++ b/docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html
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diff --git a/docs/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html b/docs/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html
index 2346a3848cd5..fa9936fc25a0 100644
--- a/docs/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html
+++ b/docs/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html
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diff --git a/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html b/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html
index fb37711332d4..8a6faac6e29c 100644
--- a/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html
+++ b/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html
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diff --git a/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html b/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html
index 8a02f84d8a93..ad7c82d2f5da 100644
--- a/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html
+++ b/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html
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diff --git a/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html b/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html
index 0796d6c66067..d65d12cd8ccc 100644
--- a/docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html
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diff --git a/docs/main/_modules/torch/ao/nn/qat/dynamic/modules/linear.html b/docs/main/_modules/torch/ao/nn/qat/dynamic/modules/linear.html
index 5ab05a1ad54c..9e1d807830b9 100644
--- a/docs/main/_modules/torch/ao/nn/qat/dynamic/modules/linear.html
+++ b/docs/main/_modules/torch/ao/nn/qat/dynamic/modules/linear.html
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diff --git a/docs/main/_modules/torch/ao/nn/qat/modules/conv.html b/docs/main/_modules/torch/ao/nn/qat/modules/conv.html
index c5cf5ce082c9..dce746203d38 100644
--- a/docs/main/_modules/torch/ao/nn/qat/modules/conv.html
+++ b/docs/main/_modules/torch/ao/nn/qat/modules/conv.html
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diff --git a/docs/main/_modules/torch/ao/nn/qat/modules/linear.html b/docs/main/_modules/torch/ao/nn/qat/modules/linear.html
index c67b8da1d1c7..65d0bbd475eb 100644
--- a/docs/main/_modules/torch/ao/nn/qat/modules/linear.html
+++ b/docs/main/_modules/torch/ao/nn/qat/modules/linear.html
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diff --git a/docs/main/_modules/torch/ao/nn/quantizable/modules/activation.html b/docs/main/_modules/torch/ao/nn/quantizable/modules/activation.html
index 52d8aa201747..06569e8dfe89 100644
--- a/docs/main/_modules/torch/ao/nn/quantizable/modules/activation.html
+++ b/docs/main/_modules/torch/ao/nn/quantizable/modules/activation.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/ao/nn/quantizable/modules/rnn.html b/docs/main/_modules/torch/ao/nn/quantizable/modules/rnn.html
index 679010c1ac09..cfcb019e7843 100644
--- a/docs/main/_modules/torch/ao/nn/quantizable/modules/rnn.html
+++ b/docs/main/_modules/torch/ao/nn/quantizable/modules/rnn.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -777,8 +777,8 @@ 
Source code for torch.ao.nn.quantizable.modules.rnn
if num_layers == 1:
                 warnings.warn("dropout option adds dropout after all but last "
                               "recurrent layer, so non-zero dropout expects "
-                              "num_layers greater than 1, but got dropout={} "
-                              "and num_layers={}".format(dropout, num_layers))
+                              f"num_layers greater than 1, but got dropout={dropout} "
+                              f"and num_layers={num_layers}")
 
         layers = [_LSTMLayer(self.input_size, self.hidden_size,
                              self.bias, batch_first=False,
diff --git a/docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html b/docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html
index d39d9754d20b..2b8f320ef341 100644
--- a/docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html
+++ b/docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -564,7 +564,7 @@ 
Source code for torch.ao.nn.quantized.dynamic.modules.linear
weight_observer = default_dynamic_qconfig.weight()
         dtype = weight_observer.dtype
         assert dtype in [torch.qint8, torch.float16], "The only supported dtypes for " \
-            "dynamic quantized linear are qint8 and float16 got: {}".format(dtype)
+            f"dynamic quantized linear are qint8 and float16 got: {dtype}"
         weight_observer(mod.weight)
         if dtype == torch.qint8:
             qweight = _quantize_weight(mod.weight.float(), weight_observer)
diff --git a/docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/rnn.html b/docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/rnn.html
index 707ca973854d..86d024644b65 100644
--- a/docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/rnn.html
+++ b/docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/rnn.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -552,8 +552,8 @@ 
Source code for torch.ao.nn.quantized.dynamic.modules.rnn
if dropout > 0 and num_layers == 1:  # type: ignore[operator]
             warnings.warn("dropout option adds dropout after all but last "
                           "recurrent layer, so non-zero dropout expects "
-                          "num_layers greater than 1, but got dropout={} and "
-                          "num_layers={}".format(dropout, num_layers))
+                          f"num_layers greater than 1, but got dropout={dropout} and "
+                          f"num_layers={num_layers}")
 
         if mode == 'LSTM':
             gate_size = 4 * hidden_size
diff --git a/docs/main/_modules/torch/ao/nn/quantized/functional.html b/docs/main/_modules/torch/ao/nn/quantized/functional.html
index bf84974e4975..4c9fb72cc3ff 100644
--- a/docs/main/_modules/torch/ao/nn/quantized/functional.html
+++ b/docs/main/_modules/torch/ao/nn/quantized/functional.html
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index 34e022d4662d..42a32ebe73ee 100644
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index 3a355112021b..1b0119bf8c35 100644
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diff --git a/docs/main/_modules/torch/ao/quantization/backend_config/backend_config.html b/docs/main/_modules/torch/ao/quantization/backend_config/backend_config.html
index 9f999df2ef55..5c982ab1902c 100644
--- a/docs/main/_modules/torch/ao/quantization/backend_config/backend_config.html
+++ b/docs/main/_modules/torch/ao/quantization/backend_config/backend_config.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/ao/quantization/fake_quantize.html b/docs/main/_modules/torch/ao/quantization/fake_quantize.html
index c491fe0d7172..2d912fe13b48 100644
--- a/docs/main/_modules/torch/ao/quantization/fake_quantize.html
+++ b/docs/main/_modules/torch/ao/quantization/fake_quantize.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/ao/quantization/fuse_modules.html b/docs/main/_modules/torch/ao/quantization/fuse_modules.html
index 59f2fd3abc5f..deadceaaffbd 100644
--- a/docs/main/_modules/torch/ao/quantization/fuse_modules.html
+++ b/docs/main/_modules/torch/ao/quantization/fuse_modules.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/ao/quantization/fx/custom_config.html b/docs/main/_modules/torch/ao/quantization/fx/custom_config.html
index c89e4863fc6c..1905ae6e1c61 100644
--- a/docs/main/_modules/torch/ao/quantization/fx/custom_config.html
+++ b/docs/main/_modules/torch/ao/quantization/fx/custom_config.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/ao/quantization/observer.html b/docs/main/_modules/torch/ao/quantization/observer.html
index db4b266dc47e..cc09b6a3616c 100644
--- a/docs/main/_modules/torch/ao/quantization/observer.html
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diff --git a/docs/main/_modules/torch/ao/quantization/qconfig.html b/docs/main/_modules/torch/ao/quantization/qconfig.html
index 055627538f03..38a8f1cf9338 100644
--- a/docs/main/_modules/torch/ao/quantization/qconfig.html
+++ b/docs/main/_modules/torch/ao/quantization/qconfig.html
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diff --git a/docs/main/_modules/torch/ao/quantization/qconfig_mapping.html b/docs/main/_modules/torch/ao/quantization/qconfig_mapping.html
index 8294b92fcd33..150e6ea2c090 100644
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diff --git a/docs/main/_modules/torch/ao/quantization/quantize.html b/docs/main/_modules/torch/ao/quantization/quantize.html
index 401b7bc3d8b4..734b1ed74764 100644
--- a/docs/main/_modules/torch/ao/quantization/quantize.html
+++ b/docs/main/_modules/torch/ao/quantization/quantize.html
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diff --git a/docs/main/_modules/torch/ao/quantization/quantize_fx.html b/docs/main/_modules/torch/ao/quantization/quantize_fx.html
index 9c2408034384..2d8a2dbbfec8 100644
--- a/docs/main/_modules/torch/ao/quantization/quantize_fx.html
+++ b/docs/main/_modules/torch/ao/quantization/quantize_fx.html
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diff --git a/docs/main/_modules/torch/ao/quantization/stubs.html b/docs/main/_modules/torch/ao/quantization/stubs.html
index 896354a3d245..7034982b49b2 100644
--- a/docs/main/_modules/torch/ao/quantization/stubs.html
+++ b/docs/main/_modules/torch/ao/quantization/stubs.html
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diff --git a/docs/main/_modules/torch/autograd.html b/docs/main/_modules/torch/autograd.html
index cae62f0e3193..c2950ace8dc8 100644
--- a/docs/main/_modules/torch/autograd.html
+++ b/docs/main/_modules/torch/autograd.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/autograd/anomaly_mode.html b/docs/main/_modules/torch/autograd/anomaly_mode.html
index 1be8258a5100..4d21fabd4fad 100644
--- a/docs/main/_modules/torch/autograd/anomaly_mode.html
+++ b/docs/main/_modules/torch/autograd/anomaly_mode.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -461,8 +461,6 @@
   
Source code for torch.autograd.anomaly_mode
 import warnings
 
-from typing import Any
-
 import torch
 
 __all__ = ["detect_anomaly", "set_detect_anomaly"]
@@ -549,7 +547,7 @@ 
Source code for torch.autograd.anomaly_mode
     def __enter__(self) -> None:
         torch.set_anomaly_enabled(True, self.check_nan)
 
-    def __exit__(self, *args: Any) -> None:
+    def __exit__(self, *args: object) -> None:
         torch.set_anomaly_enabled(self.prev, self.prev_check_nan)

 
 
@@ -578,7 +576,7 @@ 
Source code for torch.autograd.anomaly_mode
     def __enter__(self) -> None:
         pass
 
-    def __exit__(self, *args: Any) -> None:
+    def __exit__(self, *args: object) -> None:
         torch.set_anomaly_enabled(self.prev, self.prev_check_nan)

 

 
diff --git a/docs/main/_modules/torch/autograd/forward_ad.html b/docs/main/_modules/torch/autograd/forward_ad.html
index 51bc0ac92c87..d334566ec100 100644
--- a/docs/main/_modules/torch/autograd/forward_ad.html
+++ b/docs/main/_modules/torch/autograd/forward_ad.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/autograd/function.html b/docs/main/_modules/torch/autograd/function.html
index 0f196d93fca3..41672c53d26b 100644
--- a/docs/main/_modules/torch/autograd/function.html
+++ b/docs/main/_modules/torch/autograd/function.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/autograd/functional.html b/docs/main/_modules/torch/autograd/functional.html
index 324fd4cc942d..1af7ee41d139 100644
--- a/docs/main/_modules/torch/autograd/functional.html
+++ b/docs/main/_modules/torch/autograd/functional.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -494,17 +494,13 @@ 
Source code for torch.autograd.functional
         if not isinstance(el, torch.Tensor):
             if is_inp_tuple:
                 raise TypeError(
-                    "The {} given to {} must be either a Tensor or a tuple of Tensors but the"
-                    " value at index {} has type {}.".format(
-                        arg_name, fn_name, i, type(el)
-                    )
+                    f"The {arg_name} given to {fn_name} must be either a Tensor or a tuple of Tensors but the"
+                    f" value at index {i} has type {type(el)}."
                 )
             else:
                 raise TypeError(
-                    "The {} given to {} must be either a Tensor or a tuple of Tensors but the"
-                    " given {} has type {}.".format(
-                        arg_name, fn_name, arg_name, type(el)
-                    )
+                    f"The {arg_name} given to {fn_name} must be either a Tensor or a tuple of Tensors but the"
+                    f" given {arg_name} has type {type(el)}."
                 )
 
     return is_inp_tuple, inp
@@ -595,37 +591,35 @@ 
Source code for torch.autograd.functional
         if inp is None:
             # This can only be reached for grad_inputs.
             raise RuntimeError(
-                "The output of the user-provided function is independent of input {}."
-                " This is not allowed in strict mode.".format(i)
+                f"The output of the user-provided function is independent of input {i}."
+                " This is not allowed in strict mode."
             )
         if not inp.requires_grad:
             if input_type == "hessian":
                 raise RuntimeError(
-                    "The hessian of the user-provided function with respect to input {}"
+                    f"The hessian of the user-provided function with respect to input {i}"
                     " is independent of the input. This is not allowed in strict mode."
                     " You should ensure that your function is thrice differentiable and that"
-                    " the hessian depends on the inputs.".format(i)
+                    " the hessian depends on the inputs."
                 )
             elif input_type == "jacobian":
                 raise RuntimeError(
                     "While computing the hessian, found that the jacobian of the user-provided"
-                    " function with respect to input {} is independent of the input. This is not"
+                    f" function with respect to input {i} is independent of the input. This is not"
                     " allowed in strict mode. You should ensure that your function is twice"
                     " differentiable and that the jacobian depends on the inputs (this would be"
-                    " violated by a linear function for example).".format(i)
+                    " violated by a linear function for example)."
                 )
             elif input_type == "grad_inputs":
                 raise RuntimeError(
-                    "The gradient with respect to input {} is independent of the inputs of the"
-                    " user-provided function. This is not allowed in strict mode.".format(
-                        i
-                    )
+                    f"The gradient with respect to input {i} is independent of the inputs of the"
+                    " user-provided function. This is not allowed in strict mode."
                 )
             else:
                 raise RuntimeError(
-                    "Output {} of the user-provided function does not require gradients."
+                    f"Output {i} of the user-provided function does not require gradients."
                     " The outputs must be computed in a differentiable manner from the input"
-                    " when running in strict mode.".format(i)
+                    " when running in strict mode."
                 )
 
 
@@ -682,27 +676,25 @@ 
Source code for torch.autograd.functional
                 if stage == "back":
                     raise RuntimeError(
                         "The output of the user-provided function is independent of "
-                        "input {}. This is not allowed in strict mode.".format(i)
+                        f"input {i}. This is not allowed in strict mode."
                     )
                 elif stage == "back_trick":
                     raise RuntimeError(
-                        "The gradient with respect to the input is independent of entry {}"
+                        f"The gradient with respect to the input is independent of entry {i}"
                         " in the grad_outputs when using the double backward trick to compute"
-                        " forward mode gradients. This is not allowed in strict mode.".format(
-                            i
-                        )
+                        " forward mode gradients. This is not allowed in strict mode."
                     )
                 elif stage == "double_back":
                     raise RuntimeError(
                         "The jacobian of the user-provided function is independent of "
-                        "input {}. This is not allowed in strict mode.".format(i)
+                        f"input {i}. This is not allowed in strict mode."
                     )
                 else:
                     raise RuntimeError(
                         "The hessian of the user-provided function is independent of "
-                        "entry {} in the grad_jacobian. This is not allowed in strict "
+                        f"entry {i} in the grad_jacobian. This is not allowed in strict "
                         "mode as it prevents from using the double backward trick to "
-                        "replace forward mode AD.".format(i)
+                        "replace forward mode AD."
                     )
 
             grads_i = torch.zeros_like(refs[i])
@@ -711,16 +703,12 @@ 
Source code for torch.autograd.functional
                 if "double" not in stage:
                     raise RuntimeError(
                         "The jacobian of the user-provided function is independent of "
-                        "input {}. This is not allowed in strict mode when create_graph=True.".format(
-                            i
-                        )
+                        f"input {i}. This is not allowed in strict mode when create_graph=True."
                     )
                 else:
                     raise RuntimeError(
                         "The hessian of the user-provided function is independent of "
-                        "input {}. This is not allowed in strict mode when create_graph=True.".format(
-                            i
-                        )
+                        f"input {i}. This is not allowed in strict mode when create_graph=True."
                     )
 
         res += (grads_i,)
@@ -1272,17 +1260,17 @@ 
Source code for torch.autograd.functional
                         if strict and create_graph and not vj_el.requires_grad:
                             msg = (
                                 "The jacobian of the user-provided function is "
-                                "independent of input {}. This is not allowed in "
-                                "strict mode when create_graph=True.".format(i)
+                                f"independent of input {i}. This is not allowed in "
+                                "strict mode when create_graph=True."
                             )
                             raise RuntimeError(msg)
                         jac_i_el.append(vj_el)
                     else:
                         if strict:
                             msg = (
-                                "Output {} of the user-provided function is "
-                                "independent of input {}. This is not allowed in "
-                                "strict mode.".format(i, el_idx)
+                                f"Output {i} of the user-provided function is "
+                                f"independent of input {el_idx}. This is not allowed in "
+                                "strict mode."
                             )
                             raise RuntimeError(msg)
                         jac_i_el.append(torch.zeros_like(inp_el))
diff --git a/docs/main/_modules/torch/autograd/grad_mode.html b/docs/main/_modules/torch/autograd/grad_mode.html
index b5d3f72305ed..af90c5e5020a 100644
--- a/docs/main/_modules/torch/autograd/grad_mode.html
+++ b/docs/main/_modules/torch/autograd/grad_mode.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/autograd/gradcheck.html b/docs/main/_modules/torch/autograd/gradcheck.html
index 1deab1b9675e..50a6b7595d20 100644
--- a/docs/main/_modules/torch/autograd/gradcheck.html
+++ b/docs/main/_modules/torch/autograd/gradcheck.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/autograd/graph.html b/docs/main/_modules/torch/autograd/graph.html
index 02edf11cc8c2..1bafaaf85c2b 100644
--- a/docs/main/_modules/torch/autograd/graph.html
+++ b/docs/main/_modules/torch/autograd/graph.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -685,7 +685,7 @@ 
Source code for torch.autograd.graph
             self.pack_hook, self.unpack_hook
         )
 
-    def __exit__(self, *args: Any):
+    def __exit__(self, *args: object):
         torch._C._autograd._pop_saved_tensors_default_hooks()

 
 
diff --git a/docs/main/_modules/torch/autograd/profiler.html b/docs/main/_modules/torch/autograd/profiler.html
index 42ef9f374ebf..e9b266b915d7 100644
--- a/docs/main/_modules/torch/autograd/profiler.html
+++ b/docs/main/_modules/torch/autograd/profiler.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/backends/cpu.html b/docs/main/_modules/torch/backends/cpu.html
index 0fe796e35f95..5dd3d209a779 100644
--- a/docs/main/_modules/torch/backends/cpu.html
+++ b/docs/main/_modules/torch/backends/cpu.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/backends/cuda.html b/docs/main/_modules/torch/backends/cuda.html
index 357df22113dc..a3931c93a520 100644
--- a/docs/main/_modules/torch/backends/cuda.html
+++ b/docs/main/_modules/torch/backends/cuda.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -553,10 +553,8 @@ 
Source code for torch.backends.cuda
         index = torch.cuda._utils._get_device_index(device)
         if index < 0 or index >= torch.cuda.device_count():
             raise RuntimeError(
-                (
-                    "cufft_plan_cache: expected 0 <= device index < {}, but got "
-                    "device with index {}"
-                ).format(torch.cuda.device_count(), index)
+                f"cufft_plan_cache: expected 0 <= device index < {torch.cuda.device_count()}, but got "
+                f"device with index {index}"
             )
         if len(self.caches) == 0:
             self.caches.extend(
diff --git a/docs/main/_modules/torch/backends/cudnn.html b/docs/main/_modules/torch/backends/cudnn.html
index ea37b6b367e1..7f3eded5d610 100644
--- a/docs/main/_modules/torch/backends/cudnn.html
+++ b/docs/main/_modules/torch/backends/cudnn.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/backends/mkl.html b/docs/main/_modules/torch/backends/mkl.html
index b4d65474b7d0..ff493b3857f8 100644
--- a/docs/main/_modules/torch/backends/mkl.html
+++ b/docs/main/_modules/torch/backends/mkl.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/backends/mkldnn.html b/docs/main/_modules/torch/backends/mkldnn.html
index ee7d396b736d..37acc5563410 100644
--- a/docs/main/_modules/torch/backends/mkldnn.html
+++ b/docs/main/_modules/torch/backends/mkldnn.html
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diff --git a/docs/main/_modules/torch/backends/mps.html b/docs/main/_modules/torch/backends/mps.html
index e6602df8b41b..af81068c3f5d 100644
--- a/docs/main/_modules/torch/backends/mps.html
+++ b/docs/main/_modules/torch/backends/mps.html
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diff --git a/docs/main/_modules/torch/backends/openmp.html b/docs/main/_modules/torch/backends/openmp.html
index ff218fbc3f74..84c47863d9f8 100644
--- a/docs/main/_modules/torch/backends/openmp.html
+++ b/docs/main/_modules/torch/backends/openmp.html
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diff --git a/docs/main/_modules/torch/backends/opt_einsum.html b/docs/main/_modules/torch/backends/opt_einsum.html
index 6cb3eb986890..e3ec335da0c2 100644
--- a/docs/main/_modules/torch/backends/opt_einsum.html
+++ b/docs/main/_modules/torch/backends/opt_einsum.html
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diff --git a/docs/main/_modules/torch/compiler.html b/docs/main/_modules/torch/compiler.html
index a46c12f81c47..70cb4bd5bd19 100644
--- a/docs/main/_modules/torch/compiler.html
+++ b/docs/main/_modules/torch/compiler.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/cpu.html b/docs/main/_modules/torch/cpu.html
index e025a0de577b..b56e43bc6e59 100644
--- a/docs/main/_modules/torch/cpu.html
+++ b/docs/main/_modules/torch/cpu.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/cpu/amp/autocast_mode.html b/docs/main/_modules/torch/cpu/amp/autocast_mode.html
index e78a9674e7a1..a090e6aab003 100644
--- a/docs/main/_modules/torch/cpu/amp/autocast_mode.html
+++ b/docs/main/_modules/torch/cpu/amp/autocast_mode.html
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diff --git a/docs/main/_modules/torch/cuda.html b/docs/main/_modules/torch/cuda.html
index bba6e0656d6d..9d9f2e17a361 100644
--- a/docs/main/_modules/torch/cuda.html
+++ b/docs/main/_modules/torch/cuda.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/cuda/_sanitizer.html b/docs/main/_modules/torch/cuda/_sanitizer.html
index 7c7bc63c4131..8d22fbc97818 100644
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@@ -1584,9 +1584,9 @@ 
Source code for torch.distributed.distributed_c10d
if backend == Backend.MPI:
         if world_size != -1 or rank != -1:
             warnings.warn(
-                "For MPI backend, world_size ({}) and rank ({}) "
+                f"For MPI backend, world_size ({world_size}) and rank ({rank}) "
                 "are ignored since they are assigned by the "
-                "MPI runtime.".format(world_size, rank)
+                "MPI runtime."
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         default_pg, _ = _new_process_group_helper(
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+++ b/docs/main/_modules/torch/distributed/fsdp/api.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributed/fsdp/fully_sharded_data_parallel.html b/docs/main/_modules/torch/distributed/fsdp/fully_sharded_data_parallel.html
index 0f94d3309b47..584955166dd6 100644
--- a/docs/main/_modules/torch/distributed/fsdp/fully_sharded_data_parallel.html
+++ b/docs/main/_modules/torch/distributed/fsdp/fully_sharded_data_parallel.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/distributed/nn/api/remote_module.html b/docs/main/_modules/torch/distributed/nn/api/remote_module.html
index 21d7a0e311f6..63f5a9a80600 100644
--- a/docs/main/_modules/torch/distributed/nn/api/remote_module.html
+++ b/docs/main/_modules/torch/distributed/nn/api/remote_module.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -961,8 +961,8 @@ 
Source code for torch.distributed.nn.api.remote_module
and k not in _REMOTE_MODULE_ATTRIBUTES_IGNORE_FOR_PICKLING
             ):
                 raise AttributeError(
-                    "Attribute {} must be either in ``_REMOTE_MODULE_PICKLED_ATTRIBUTES`` or "
-                    "``_REMOTE_MODULE_ATTRIBUTES_IGNORE_FOR_PICKLING``.".format(k)
+                    f"Attribute {k} must be either in ``_REMOTE_MODULE_PICKLED_ATTRIBUTES`` or "
+                    "``_REMOTE_MODULE_ATTRIBUTES_IGNORE_FOR_PICKLING``."
                 )
 
     def _install_generated_methods(self):
@@ -1190,11 +1190,9 @@ 
Source code for torch.distributed.nn.api.remote_module
# Check if unpickled attributes are all in _REMOTE_MODULE_ATTRIBUTES_IGNORE_FOR_PICKLING.
         elif k not in _REMOTE_MODULE_ATTRIBUTES_IGNORE_FOR_PICKLING:
             print(
-                "The new attribute ``{}`` of RemoteModule is ignored during RPC pickling. "
+                f"The new attribute ``{k}`` of RemoteModule is ignored during RPC pickling. "
                 "To pickle this attribute, please add it to ``_REMOTE_MODULE_PICKLED_ATTRIBUTES``. "
-                "Otherwise, please explicitly add it to ``_REMOTE_MODULE_ATTRIBUTES_IGNORE_FOR_PICKLING``.".format(
-                    k
-                ),
+                "Otherwise, please explicitly add it to ``_REMOTE_MODULE_ATTRIBUTES_IGNORE_FOR_PICKLING``.",
                 file=sys.stderr,
             )
 
diff --git a/docs/main/_modules/torch/distributed/optim/optimizer.html b/docs/main/_modules/torch/distributed/optim/optimizer.html
index 5ec36666ec9e..65bc7c42dad2 100644
--- a/docs/main/_modules/torch/distributed/optim/optimizer.html
+++ b/docs/main/_modules/torch/distributed/optim/optimizer.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributed/optim/post_localSGD_optimizer.html b/docs/main/_modules/torch/distributed/optim/post_localSGD_optimizer.html
index e7dd2f76603e..fe904699219b 100644
--- a/docs/main/_modules/torch/distributed/optim/post_localSGD_optimizer.html
+++ b/docs/main/_modules/torch/distributed/optim/post_localSGD_optimizer.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributed/optim/zero_redundancy_optimizer.html b/docs/main/_modules/torch/distributed/optim/zero_redundancy_optimizer.html
index 34fab33d97f0..cc7bffcb5802 100644
--- a/docs/main/_modules/torch/distributed/optim/zero_redundancy_optimizer.html
+++ b/docs/main/_modules/torch/distributed/optim/zero_redundancy_optimizer.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/distributed/pipeline/sync/pipe.html b/docs/main/_modules/torch/distributed/pipeline/sync/pipe.html
index 5fa348ba60e1..cf2e6553a094 100644
--- a/docs/main/_modules/torch/distributed/pipeline/sync/pipe.html
+++ b/docs/main/_modules/torch/distributed/pipeline/sync/pipe.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -573,8 +573,8 @@ 
Source code for torch.distributed.pipeline.sync.pipe
device = parameter.device
         elif device != parameter.device:
             raise ValueError(
-                'nn.Module: {}, should have all parameters on a single device,'
-                ' please use .to() to place the module on a single device'.format(module))
+                f'nn.Module: {module}, should have all parameters on a single device,'
+                ' please use .to() to place the module on a single device')
 
     return device if device is not None else torch.device("cpu")
 
diff --git a/docs/main/_modules/torch/distributed/pipeline/sync/skip/skippable.html b/docs/main/_modules/torch/distributed/pipeline/sync/skip/skippable.html
index 5349f22eaae6..74e0d73f77d0 100644
--- a/docs/main/_modules/torch/distributed/pipeline/sync/skip/skippable.html
+++ b/docs/main/_modules/torch/distributed/pipeline/sync/skip/skippable.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributed/rpc.html b/docs/main/_modules/torch/distributed/rpc.html
index 8a28831982fe..005da6810386 100644
--- a/docs/main/_modules/torch/distributed/rpc.html
+++ b/docs/main/_modules/torch/distributed/rpc.html
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diff --git a/docs/main/_modules/torch/distributed/rpc/api.html b/docs/main/_modules/torch/distributed/rpc/api.html
index b76dada09427..0fcc95f53985 100644
--- a/docs/main/_modules/torch/distributed/rpc/api.html
+++ b/docs/main/_modules/torch/distributed/rpc/api.html
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diff --git a/docs/main/_modules/torch/distributed/rpc/backend_registry.html b/docs/main/_modules/torch/distributed/rpc/backend_registry.html
index bec6fe64df36..14d47e5e6723 100644
--- a/docs/main/_modules/torch/distributed/rpc/backend_registry.html
+++ b/docs/main/_modules/torch/distributed/rpc/backend_registry.html
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diff --git a/docs/main/_modules/torch/distributed/rpc/functions.html b/docs/main/_modules/torch/distributed/rpc/functions.html
index 4cf532664937..306898d26f39 100644
--- a/docs/main/_modules/torch/distributed/rpc/functions.html
+++ b/docs/main/_modules/torch/distributed/rpc/functions.html
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diff --git a/docs/main/_modules/torch/distributed/rpc/options.html b/docs/main/_modules/torch/distributed/rpc/options.html
index 001d14953640..3045e66a09ba 100644
--- a/docs/main/_modules/torch/distributed/rpc/options.html
+++ b/docs/main/_modules/torch/distributed/rpc/options.html
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diff --git a/docs/main/_modules/torch/distributed/tensor/parallel/api.html b/docs/main/_modules/torch/distributed/tensor/parallel/api.html
index e597012bc847..bb7c483c4e54 100644
--- a/docs/main/_modules/torch/distributed/tensor/parallel/api.html
+++ b/docs/main/_modules/torch/distributed/tensor/parallel/api.html
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diff --git a/docs/main/_modules/torch/distributed/tensor/parallel/ddp.html b/docs/main/_modules/torch/distributed/tensor/parallel/ddp.html
index 3e376803470e..2fcf2b890e09 100644
--- a/docs/main/_modules/torch/distributed/tensor/parallel/ddp.html
+++ b/docs/main/_modules/torch/distributed/tensor/parallel/ddp.html
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diff --git a/docs/main/_modules/torch/distributed/tensor/parallel/fsdp.html b/docs/main/_modules/torch/distributed/tensor/parallel/fsdp.html
index 2a46ae6653ba..d59b5dcc5765 100644
--- a/docs/main/_modules/torch/distributed/tensor/parallel/fsdp.html
+++ b/docs/main/_modules/torch/distributed/tensor/parallel/fsdp.html
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diff --git a/docs/main/_modules/torch/distributed/tensor/parallel/style.html b/docs/main/_modules/torch/distributed/tensor/parallel/style.html
index 9b3dbba4e294..bcc587b91f5d 100644
--- a/docs/main/_modules/torch/distributed/tensor/parallel/style.html
+++ b/docs/main/_modules/torch/distributed/tensor/parallel/style.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributions/bernoulli.html b/docs/main/_modules/torch/distributions/bernoulli.html
index 15a4b6bd05ad..e0b1cdc7436e 100644
--- a/docs/main/_modules/torch/distributions/bernoulli.html
+++ b/docs/main/_modules/torch/distributions/bernoulli.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributions/beta.html b/docs/main/_modules/torch/distributions/beta.html
index 6bc774d7b0a8..488c12e114f1 100644
--- a/docs/main/_modules/torch/distributions/beta.html
+++ b/docs/main/_modules/torch/distributions/beta.html
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diff --git a/docs/main/_modules/torch/distributions/binomial.html b/docs/main/_modules/torch/distributions/binomial.html
index 5c25b618b880..a8f8f39bdb61 100644
--- a/docs/main/_modules/torch/distributions/binomial.html
+++ b/docs/main/_modules/torch/distributions/binomial.html
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diff --git a/docs/main/_modules/torch/distributions/categorical.html b/docs/main/_modules/torch/distributions/categorical.html
index bc697af9ac27..1c7595f9378f 100644
--- a/docs/main/_modules/torch/distributions/categorical.html
+++ b/docs/main/_modules/torch/distributions/categorical.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributions/cauchy.html b/docs/main/_modules/torch/distributions/cauchy.html
index 43d01cb02f48..fdaea8b9e5e5 100644
--- a/docs/main/_modules/torch/distributions/cauchy.html
+++ b/docs/main/_modules/torch/distributions/cauchy.html
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diff --git a/docs/main/_modules/torch/distributions/chi2.html b/docs/main/_modules/torch/distributions/chi2.html
index 6365e634d032..7827c1b3f41c 100644
--- a/docs/main/_modules/torch/distributions/chi2.html
+++ b/docs/main/_modules/torch/distributions/chi2.html
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diff --git a/docs/main/_modules/torch/distributions/constraint_registry.html b/docs/main/_modules/torch/distributions/constraint_registry.html
index 7e4e2277ef0d..b006cf5fe4f3 100644
--- a/docs/main/_modules/torch/distributions/constraint_registry.html
+++ b/docs/main/_modules/torch/distributions/constraint_registry.html
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diff --git a/docs/main/_modules/torch/distributions/constraints.html b/docs/main/_modules/torch/distributions/constraints.html
index e35994bd3a69..799bfef11d70 100644
--- a/docs/main/_modules/torch/distributions/constraints.html
+++ b/docs/main/_modules/torch/distributions/constraints.html
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diff --git a/docs/main/_modules/torch/distributions/continuous_bernoulli.html b/docs/main/_modules/torch/distributions/continuous_bernoulli.html
index 4da3da3ff052..e18d7e5e9a89 100644
--- a/docs/main/_modules/torch/distributions/continuous_bernoulli.html
+++ b/docs/main/_modules/torch/distributions/continuous_bernoulli.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributions/dirichlet.html b/docs/main/_modules/torch/distributions/dirichlet.html
index 65b2a0b748d7..3d31f68c5aed 100644
--- a/docs/main/_modules/torch/distributions/dirichlet.html
+++ b/docs/main/_modules/torch/distributions/dirichlet.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributions/distribution.html b/docs/main/_modules/torch/distributions/distribution.html
index 370176aef180..6927edba52e8 100644
--- a/docs/main/_modules/torch/distributions/distribution.html
+++ b/docs/main/_modules/torch/distributions/distribution.html
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diff --git a/docs/main/_modules/torch/distributions/exp_family.html b/docs/main/_modules/torch/distributions/exp_family.html
index d605a9bcb12f..fc196b309501 100644
--- a/docs/main/_modules/torch/distributions/exp_family.html
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diff --git a/docs/main/_modules/torch/distributions/exponential.html b/docs/main/_modules/torch/distributions/exponential.html
index 90d9a1acbced..9108b7d3168f 100644
--- a/docs/main/_modules/torch/distributions/exponential.html
+++ b/docs/main/_modules/torch/distributions/exponential.html
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diff --git a/docs/main/_modules/torch/distributions/fishersnedecor.html b/docs/main/_modules/torch/distributions/fishersnedecor.html
index 877db708b741..9da3c86b6595 100644
--- a/docs/main/_modules/torch/distributions/fishersnedecor.html
+++ b/docs/main/_modules/torch/distributions/fishersnedecor.html
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diff --git a/docs/main/_modules/torch/distributions/gamma.html b/docs/main/_modules/torch/distributions/gamma.html
index eb3f50d260d9..4fa85cb7f9f0 100644
--- a/docs/main/_modules/torch/distributions/gamma.html
+++ b/docs/main/_modules/torch/distributions/gamma.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributions/geometric.html b/docs/main/_modules/torch/distributions/geometric.html
index 94f5815650b6..9c382f8b738f 100644
--- a/docs/main/_modules/torch/distributions/geometric.html
+++ b/docs/main/_modules/torch/distributions/geometric.html
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diff --git a/docs/main/_modules/torch/distributions/gumbel.html b/docs/main/_modules/torch/distributions/gumbel.html
index 2ef68580b4be..947294d7b28a 100644
--- a/docs/main/_modules/torch/distributions/gumbel.html
+++ b/docs/main/_modules/torch/distributions/gumbel.html
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diff --git a/docs/main/_modules/torch/distributions/half_cauchy.html b/docs/main/_modules/torch/distributions/half_cauchy.html
index afc962a0c6ee..bc772bf23857 100644
--- a/docs/main/_modules/torch/distributions/half_cauchy.html
+++ b/docs/main/_modules/torch/distributions/half_cauchy.html
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diff --git a/docs/main/_modules/torch/distributions/half_normal.html b/docs/main/_modules/torch/distributions/half_normal.html
index 55a8d42b4f0b..ba5254ecf0be 100644
--- a/docs/main/_modules/torch/distributions/half_normal.html
+++ b/docs/main/_modules/torch/distributions/half_normal.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/distributions/independent.html b/docs/main/_modules/torch/distributions/independent.html
index a5a3a1893df4..a5de4e4177d4 100644
--- a/docs/main/_modules/torch/distributions/independent.html
+++ b/docs/main/_modules/torch/distributions/independent.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -504,9 +504,7 @@ 
Source code for torch.distributions.independent
<
         if reinterpreted_batch_ndims > len(base_distribution.batch_shape):
             raise ValueError(
                 "Expected reinterpreted_batch_ndims <= len(base_distribution.batch_shape), "
-                "actual {} vs {}".format(
-                    reinterpreted_batch_ndims, len(base_distribution.batch_shape)
-                )
+                f"actual {reinterpreted_batch_ndims} vs {len(base_distribution.batch_shape)}"
             )
         shape = base_distribution.batch_shape + base_distribution.event_shape
         event_dim = reinterpreted_batch_ndims + len(base_distribution.event_shape)
diff --git a/docs/main/_modules/torch/distributions/kl.html b/docs/main/_modules/torch/distributions/kl.html
index 818950922635..2290b07f612e 100644
--- a/docs/main/_modules/torch/distributions/kl.html
+++ b/docs/main/_modules/torch/distributions/kl.html
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diff --git a/docs/main/_modules/torch/distributions/kumaraswamy.html b/docs/main/_modules/torch/distributions/kumaraswamy.html
index 9a15306b645f..05567de69241 100644
--- a/docs/main/_modules/torch/distributions/kumaraswamy.html
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diff --git a/docs/main/_modules/torch/distributions/laplace.html b/docs/main/_modules/torch/distributions/laplace.html
index f440804a9bb6..65aae104995e 100644
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diff --git a/docs/main/_modules/torch/distributions/lkj_cholesky.html b/docs/main/_modules/torch/distributions/lkj_cholesky.html
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index b2ba993a973f..022c4bb17216 100644
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index 14691dfd33a6..4ddadeb67c48 100644
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index dfba2c6df9e2..939ae5ba49a6 100644
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index 72a92cc92402..00ef5080e766 100644
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index 0f8cc6f43264..2a3dfd57abdf 100644
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index a63dcba6de13..51937af6ea1e 100644
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index f642b36914e5..6691428a4238 100644
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index ed6d149beae3..f4d46ba462cc 100644
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index 5951a40c2b57..c54a5b3a20d2 100644
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index 33d23843d3b8..0891e4d5baef 100644
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index 7020e364f01c..1a889d2baf14 100644
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index 125e6e7debbf..e4ccd3c9f813 100644
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diff --git a/docs/main/_modules/torch/fx/graph.html b/docs/main/_modules/torch/fx/graph.html
index 60765a9f15bb..fb69df7b90be 100644
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diff --git a/docs/main/_modules/torch/fx/graph_module.html b/docs/main/_modules/torch/fx/graph_module.html
index 49421a00da12..6f7401434620 100644
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diff --git a/docs/main/_modules/torch/fx/interpreter.html b/docs/main/_modules/torch/fx/interpreter.html
index 0d5e2fb2fc2c..7f6c393a2008 100644
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diff --git a/docs/main/_modules/torch/fx/proxy.html b/docs/main/_modules/torch/fx/proxy.html
index cb0d1d0d0447..5faf15859a25 100644
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diff --git a/docs/main/_modules/torch/fx/subgraph_rewriter.html b/docs/main/_modules/torch/fx/subgraph_rewriter.html
index 65a9a6d45e11..334e8d6cdf89 100644
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index f220fdd63eff..e56d5d42faa4 100644
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diff --git a/docs/main/_modules/torch/jit.html b/docs/main/_modules/torch/jit.html
index 684babf59ded..dbe49a5bbecd 100644
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diff --git a/docs/main/_modules/torch/jit/_async.html b/docs/main/_modules/torch/jit/_async.html
index 26c289eafaba..0608064b0ced 100644
--- a/docs/main/_modules/torch/jit/_async.html
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diff --git a/docs/main/_modules/torch/jit/_freeze.html b/docs/main/_modules/torch/jit/_freeze.html
index a64b293354de..3905ff74574f 100644
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+++ b/docs/main/_modules/torch/jit/_freeze.html
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diff --git a/docs/main/_modules/torch/jit/_fuser.html b/docs/main/_modules/torch/jit/_fuser.html
index 6eddc42f45c8..8fddeeffed00 100644
--- a/docs/main/_modules/torch/jit/_fuser.html
+++ b/docs/main/_modules/torch/jit/_fuser.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/jit/_script.html b/docs/main/_modules/torch/jit/_script.html
index 67f48bdd246d..e0f4253220f4 100644
--- a/docs/main/_modules/torch/jit/_script.html
+++ b/docs/main/_modules/torch/jit/_script.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -718,7 +718,7 @@ 
Source code for torch.jit._script
         else:
             raise RuntimeError(
                 "Cannot re-assign modules in a ScriptModule with non-scripted "
-                "module, tried to replace existing module '{}': {}".format(k, v)
+                f"module, tried to replace existing module '{k}': {v}"
             )
 
     def __getitem__(self, k):
@@ -1863,7 +1863,7 @@ 
Source code for torch.jit._script
                 loc,
                 "Default parameters on overloads do not affect the runtime so they "
                 "must equal to the default parameter on the implementation function. Found on "
-                "parameter {name}".format(name=name),
+                f"parameter {name}",
             )
 
 
@@ -1922,9 +1922,9 @@ 
Source code for torch.jit._script
     qual_name = _qualified_name(obj)
     if _jit_internal._get_fn_overloads(qual_name) or _try_get_jit_cached_overloads(obj):
         raise RuntimeError(
-            "Function {} cannot be directly compiled because it"
+            f"Function {qual_name} cannot be directly compiled because it"
             " is overloaded. It must be used in a context of a function"
-            " where its inputs can determine which overload to call.".format(qual_name)
+            " where its inputs can determine which overload to call."
         )
 
 
diff --git a/docs/main/_modules/torch/jit/_serialization.html b/docs/main/_modules/torch/jit/_serialization.html
index c6f4747bdfbf..b6cbd9a27bed 100644
--- a/docs/main/_modules/torch/jit/_serialization.html
+++ b/docs/main/_modules/torch/jit/_serialization.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/jit/_trace.html b/docs/main/_modules/torch/jit/_trace.html
index 6dab2d9d8fc5..61b33f986388 100644
--- a/docs/main/_modules/torch/jit/_trace.html
+++ b/docs/main/_modules/torch/jit/_trace.html
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@@ -715,10 +715,8 @@ 
Source code for torch.jit._trace
             out = (out,)
         if loss_fn == torch.sum and len(out) != 1:
             raise ValueError(
-                (
-                    "Model returns {} outputs, but default loss function "
-                    "(torch.sum) can only handle a single output"
-                ).format(len(out))
+                f"Model returns {len(out)} outputs, but default loss function "
+                "(torch.sum) can only handle a single output"
             )
         out_vars, _ = _flatten(out)
         saved_outs = [
diff --git a/docs/main/_modules/torch/library.html b/docs/main/_modules/torch/library.html
index 1317922328dd..d85133e27549 100644
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index cf554343155b..bcd9b6340f93 100644
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index 05a1cb939a8d..36e232a0c42f 100644
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index 7d78d3cea9e5..a137a09f03c6 100644
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index 24c253160f10..dbd4c67fb8c7 100644
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index 47a6cc1e6b3e..685bccc38b5d 100644
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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/multiprocessing/spawn.html b/docs/main/_modules/torch/multiprocessing/spawn.html
index 49c3b6331c9c..cde0712c8509 100644
--- a/docs/main/_modules/torch/multiprocessing/spawn.html
+++ b/docs/main/_modules/torch/multiprocessing/spawn.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nested.html b/docs/main/_modules/torch/nested.html
index 5327dae96795..f3ff72fd79e1 100644
--- a/docs/main/_modules/torch/nested.html
+++ b/docs/main/_modules/torch/nested.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/functional.html b/docs/main/_modules/torch/nn/functional.html
index 473cf2aa39c3..501f460cdbc3 100644
--- a/docs/main/_modules/torch/nn/functional.html
+++ b/docs/main/_modules/torch/nn/functional.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -1362,9 +1362,7 @@ 
Source code for torch.nn.functional
         if len(output_size) != len(kernel_size):
             raise ValueError(
                 "output_size should be a sequence containing "
-                "{} or {} elements, but it has a length of '{}'".format(
-                    len(kernel_size), len(kernel_size) + 2, len(output_size)
-                )
+                f"{len(kernel_size)} or {len(kernel_size) + 2} elements, but it has a length of '{len(output_size)}'"
             )
         for d in range(len(kernel_size)):
             min_size = default_size[d] - stride[d]
@@ -2815,8 +2813,8 @@ 
Source code for torch.nn.functional
 
     if per_sample_weights is not None and input.size() != per_sample_weights.size():
         raise ValueError(
-            "embedding_bag: If per_sample_weights ({}) is not None, "
-            "then it must have the same shape as the input ({})".format(per_sample_weights.shape, input.shape)
+            f"embedding_bag: If per_sample_weights ({per_sample_weights.shape}) is not None, "
+            f"then it must have the same shape as the input ({input.shape})"
         )
 
     if not weight.dim() == 2:
@@ -2834,7 +2832,7 @@ 
Source code for torch.nn.functional
                 "if input is 2D, then offsets has to be None"
                 ", as input is treated is a mini-batch of"
                 " fixed length sequences. However, found "
-                "offsets of type {}".format(type_str)
+                f"offsets of type {type_str}"
             )
         offsets = torch.arange(0, input.numel(), input.size(1), dtype=input.dtype, device=input.device)
 
@@ -2875,7 +2873,7 @@ 
Source code for torch.nn.functional
         raise NotImplementedError(
             "embedding_bag: per_sample_weights was not None. "
             "per_sample_weights is only supported for mode='sum' "
-            "(got mode='{}'). Please open a feature request on GitHub.".format(mode)
+            f"(got mode='{mode}'). Please open a feature request on GitHub."
         )
 
     ret, _, _, _ = torch.embedding_bag(
@@ -3682,9 +3680,9 @@ 
Source code for torch.nn.functional
         )
     if not (target.size() == input.size()):
         warnings.warn(
-            "Using a target size ({}) that is different to the input size ({}). "
+            f"Using a target size ({target.size()}) that is different to the input size ({input.size()}). "
             "This will likely lead to incorrect results due to broadcasting. "
-            "Please ensure they have the same size.".format(target.size(), input.size()),
+            "Please ensure they have the same size.",
             stacklevel=2,
         )
     if size_average is not None or reduce is not None:
@@ -3719,9 +3717,9 @@ 
Source code for torch.nn.functional
             delta=delta,
         )
     if not (target.size() == input.size()):
-        warnings.warn("Using a target size ({}) that is different to the input size ({}). "
+        warnings.warn(f"Using a target size ({target.size()}) that is different to the input size ({input.size()}). "
                       "This will likely lead to incorrect results due to broadcasting. "
-                      "Please ensure they have the same size.".format(target.size(), input.size()),
+                      "Please ensure they have the same size.",
                       stacklevel=2)
 
     expanded_input, expanded_target = torch.broadcast_tensors(input, target)
@@ -3747,9 +3745,9 @@ 
Source code for torch.nn.functional
         )
     if not (target.size() == input.size()):
         warnings.warn(
-            "Using a target size ({}) that is different to the input size ({}). "
+            f"Using a target size ({target.size()}) that is different to the input size ({input.size()}). "
             "This will likely lead to incorrect results due to broadcasting. "
-            "Please ensure they have the same size.".format(target.size(), input.size()),
+            "Please ensure they have the same size.",
             stacklevel=2,
         )
     if size_average is not None or reduce is not None:
@@ -3778,9 +3776,9 @@ 
Source code for torch.nn.functional
         )
     if not (target.size() == input.size()):
         warnings.warn(
-            "Using a target size ({}) that is different to the input size ({}). "
+            f"Using a target size ({target.size()}) that is different to the input size ({input.size()}). "
             "This will likely lead to incorrect results due to broadcasting. "
-            "Please ensure they have the same size.".format(target.size(), input.size()),
+            "Please ensure they have the same size.",
             stacklevel=2,
         )
     if size_average is not None or reduce is not None:
@@ -4503,8 +4501,8 @@ 
Source code for torch.nn.functional
 
     raise NotImplementedError(
         "Input Error: Only 3D, 4D and 5D input Tensors supported"
-        " (got {}D) for the modes: nearest | linear | bilinear | bicubic | trilinear | area | nearest-exact"
-        " (got {})".format(input.dim(), mode)
+        f" (got {input.dim()}D) for the modes: nearest | linear | bilinear | bicubic | trilinear | area | nearest-exact"
+        f" (got {mode})"
     )

 
 
@@ -4736,7 +4734,7 @@ 
Source code for torch.nn.functional
         raise ValueError(
             "nn.functional.grid_sample(): expected padding_mode "
             "to be 'zeros', 'border', or 'reflection', "
-            "but got: '{}'".format(padding_mode)
+            f"but got: '{padding_mode}'"
         )
 
     if mode == "bilinear":
@@ -4844,7 +4842,7 @@ 
Source code for torch.nn.functional
         raise NotImplementedError(
             "affine_grid only supports 4D and 5D sizes, "
             "for 2D and 3D affine transforms, respectively. "
-            "Got size {}.".format(size)
+            f"Got size {size}."
         )
     # check for empty span
     if align_corners and min(spatial_size) == 1:
diff --git a/docs/main/_modules/torch/nn/init.html b/docs/main/_modules/torch/nn/init.html
index 62953e72a742..526a0f125437 100644
--- a/docs/main/_modules/torch/nn/init.html
+++ b/docs/main/_modules/torch/nn/init.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -1002,14 +1002,13 @@ 
Source code for torch.nn.init
         warnings.warn(f"nn.init.{old_name} is now deprecated in favor of nn.init.{new_name}.", stacklevel=2)
         return meth(*args, **kwargs)
 
-    deprecated_init.__doc__ = r"""
-    {old_name}(...)
+    deprecated_init.__doc__ = fr"""
+    {old_name}(...)
 
     .. warning::
-        This method is now deprecated in favor of :func:`torch.nn.init.{new_name}`.
+        This method is now deprecated in favor of :func:`torch.nn.init.{new_name}`.
 
-    See :func:`~torch.nn.init.{new_name}` for details.""".format(
-        old_name=old_name, new_name=new_name)
+    See :func:`~torch.nn.init.{new_name}` for details."""
     deprecated_init.__name__ = old_name
     return deprecated_init
 
diff --git a/docs/main/_modules/torch/nn/modules/activation.html b/docs/main/_modules/torch/nn/modules/activation.html
index 01335df5a4f8..a1efbc310db5 100644
--- a/docs/main/_modules/torch/nn/modules/activation.html
+++ b/docs/main/_modules/torch/nn/modules/activation.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/adaptive.html b/docs/main/_modules/torch/nn/modules/adaptive.html
index 2fe3783b55a0..0c3dd2171f6a 100644
--- a/docs/main/_modules/torch/nn/modules/adaptive.html
+++ b/docs/main/_modules/torch/nn/modules/adaptive.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -683,11 +683,9 @@ 
Source code for torch.nn.modules.adaptive
             used_rows += row_indices.numel()
 
         if used_rows != batch_size:
-            raise RuntimeError("Target values should be in [0, {}], "
-                               "but values in range [{}, {}] "
-                               "were found. ".format(self.n_classes - 1,
-                                                     target.min().item(),
-                                                     target.max().item()))
+            raise RuntimeError(f"Target values should be in [0, {self.n_classes - 1}], "
+                               f"but values in range [{target.min().item()}, {target.max().item()}] "
+                               "were found. ")
 
         head_output = self.head(input)
         head_logprob = log_softmax(head_output, dim=1)
diff --git a/docs/main/_modules/torch/nn/modules/batchnorm.html b/docs/main/_modules/torch/nn/modules/batchnorm.html
index 24e72e847192..c2ed4ae802b6 100644
--- a/docs/main/_modules/torch/nn/modules/batchnorm.html
+++ b/docs/main/_modules/torch/nn/modules/batchnorm.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/channelshuffle.html b/docs/main/_modules/torch/nn/modules/channelshuffle.html
index f6e59a2fbe3d..bc6454b0146e 100644
--- a/docs/main/_modules/torch/nn/modules/channelshuffle.html
+++ b/docs/main/_modules/torch/nn/modules/channelshuffle.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/container.html b/docs/main/_modules/torch/nn/modules/container.html
index 1c123091ed88..d79c2ce0a975 100644
--- a/docs/main/_modules/torch/nn/modules/container.html
+++ b/docs/main/_modules/torch/nn/modules/container.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -607,8 +607,7 @@ 
Source code for torch.nn.modules.container
             return ret
         else:
             raise ValueError('add operator supports only objects '
-                             'of Sequential class, but {} is given.'.format(
-                                 str(type(other))))
+                             f'of Sequential class, but {str(type(other))} is given.')
 
     def pop(self, key: Union[int, slice]) -> Module:
         v = self[key]
@@ -623,8 +622,7 @@ 
Source code for torch.nn.modules.container
             return self
         else:
             raise ValueError('add operator supports only objects '
-                             'of Sequential class, but {} is given.'.format(
-                                 str(type(other))))
+                             f'of Sequential class, but {str(type(other))} is given.')
 
     def __mul__(self, other: int) -> 'Sequential':
         if not isinstance(other, int):
diff --git a/docs/main/_modules/torch/nn/modules/conv.html b/docs/main/_modules/torch/nn/modules/conv.html
index f451721438c3..81d89870e258 100644
--- a/docs/main/_modules/torch/nn/modules/conv.html
+++ b/docs/main/_modules/torch/nn/modules/conv.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -1115,10 +1115,9 @@ 
Source code for torch.nn.modules.conv
                 min_size = min_sizes[i]
                 max_size = max_sizes[i]
                 if size < min_size or size > max_size:
-                    raise ValueError((
-                        "requested an output size of {}, but valid sizes range "
-                        "from {} to {} (for an input of {})").format(
-                            output_size, min_sizes, max_sizes, input.size()[2:]))
+                    raise ValueError(
+                        f"requested an output size of {output_size}, but valid sizes range "
+                        f"from {min_sizes} to {max_sizes} (for an input of {input.size()[2:]})")
 
             res = torch.jit.annotate(List[int], [])
             for d in range(num_spatial_dims):
diff --git a/docs/main/_modules/torch/nn/modules/distance.html b/docs/main/_modules/torch/nn/modules/distance.html
index 23e1dc49e973..33b2894cfcac 100644
--- a/docs/main/_modules/torch/nn/modules/distance.html
+++ b/docs/main/_modules/torch/nn/modules/distance.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/dropout.html b/docs/main/_modules/torch/nn/modules/dropout.html
index 8484235202b3..b1b67306be74 100644
--- a/docs/main/_modules/torch/nn/modules/dropout.html
+++ b/docs/main/_modules/torch/nn/modules/dropout.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/flatten.html b/docs/main/_modules/torch/nn/modules/flatten.html
index 67a4bc13f7d3..3c9dba031782 100644
--- a/docs/main/_modules/torch/nn/modules/flatten.html
+++ b/docs/main/_modules/torch/nn/modules/flatten.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/fold.html b/docs/main/_modules/torch/nn/modules/fold.html
index 64a21b269f20..2c100b943a6e 100644
--- a/docs/main/_modules/torch/nn/modules/fold.html
+++ b/docs/main/_modules/torch/nn/modules/fold.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/instancenorm.html b/docs/main/_modules/torch/nn/modules/instancenorm.html
index 5bbc65fce8df..52ee2a26afae 100644
--- a/docs/main/_modules/torch/nn/modules/instancenorm.html
+++ b/docs/main/_modules/torch/nn/modules/instancenorm.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/lazy.html b/docs/main/_modules/torch/nn/modules/lazy.html
index 1e08d4753075..8cee7970b61e 100644
--- a/docs/main/_modules/torch/nn/modules/lazy.html
+++ b/docs/main/_modules/torch/nn/modules/lazy.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/linear.html b/docs/main/_modules/torch/nn/modules/linear.html
index 621b6fa4d11f..690791eaa65a 100644
--- a/docs/main/_modules/torch/nn/modules/linear.html
+++ b/docs/main/_modules/torch/nn/modules/linear.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/loss.html b/docs/main/_modules/torch/nn/modules/loss.html
index b0073940d7d6..cdae64bc2d3f 100644
--- a/docs/main/_modules/torch/nn/modules/loss.html
+++ b/docs/main/_modules/torch/nn/modules/loss.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/nn/modules/module.html b/docs/main/_modules/torch/nn/modules/module.html
index d5c79dfab88d..8debcdf3e5db 100644
--- a/docs/main/_modules/torch/nn/modules/module.html
+++ b/docs/main/_modules/torch/nn/modules/module.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -920,8 +920,8 @@ 
Source code for torch.nn.modules.module
                             "".format(type(self).__name__, next(iter(kwargs))))
 
         if self.call_super_init is False and bool(args):
-            raise TypeError("{}.__init__() takes 1 positional argument but {} were"
-                            " given".format(type(self).__name__, len(args) + 1))
+            raise TypeError(f"{type(self).__name__}.__init__() takes 1 positional argument but {len(args) + 1} were"
+                            " given")
 
         """
         Calls super().__setattr__('a', a) instead of the typical self.a = a
@@ -996,9 +996,9 @@ 
Source code for torch.nn.modules.module
         elif hasattr(self, name) and name not in self._buffers:
             raise KeyError(f"attribute '{name}' already exists")
         elif tensor is not None and not isinstance(tensor, torch.Tensor):
-            raise TypeError("cannot assign '{}' object to buffer '{}' "
+            raise TypeError(f"cannot assign '{torch.typename(tensor)}' object to buffer '{name}' "
                             "(torch Tensor or None required)"
-                            .format(torch.typename(tensor), name))
+                            )
         else:
             for hook in _global_buffer_registration_hooks.values():
                 output = hook(self, name, tensor)
@@ -1039,15 +1039,15 @@ 
Source code for torch.nn.modules.module
         if param is None:
             self._parameters[name] = None
         elif not isinstance(param, Parameter):
-            raise TypeError("cannot assign '{}' object to parameter '{}' "
+            raise TypeError(f"cannot assign '{torch.typename(param)}' object to parameter '{name}' "
                             "(torch.nn.Parameter or None required)"
-                            .format(torch.typename(param), name))
+                            )
         elif param.grad_fn:
             raise ValueError(
-                "Cannot assign non-leaf Tensor to parameter '{0}'. Model "
-                "parameters must be created explicitly. To express '{0}' "
+                f"Cannot assign non-leaf Tensor to parameter '{name}'. Model "
+                f"parameters must be created explicitly. To express '{name}' "
                 "as a function of another Tensor, compute the value in "
-                "the forward() method.".format(name))
+                "the forward() method.")
         else:
             for hook in _global_parameter_registration_hooks.values():
                 output = hook(self, name, param)
@@ -1602,7 +1602,7 @@ 
Source code for torch.nn.modules.module
         if dtype is not None:
             if not (dtype.is_floating_point or dtype.is_complex):
                 raise TypeError('nn.Module.to only accepts floating point or complex '
-                                'dtypes, but got desired dtype={}'.format(dtype))
+                                f'dtypes, but got desired dtype={dtype}')
             if dtype.is_complex:
                 warnings.warn(
                     "Complex modules are a new feature under active development whose design may change, "
@@ -2171,9 +2171,9 @@ 
Source code for torch.nn.modules.module
             self.register_parameter(name, value)
         elif params is not None and name in params:
             if value is not None:
-                raise TypeError("cannot assign '{}' as parameter '{}' "
+                raise TypeError(f"cannot assign '{torch.typename(value)}' as parameter '{name}' "
                                 "(torch.nn.Parameter or None expected)"
-                                .format(torch.typename(value), name))
+                                )
             self.register_parameter(name, value)
         else:
             modules = self.__dict__.get('_modules')
@@ -2189,9 +2189,9 @@ 
Source code for torch.nn.modules.module
                 modules[name] = value
             elif modules is not None and name in modules:
                 if value is not None:
-                    raise TypeError("cannot assign '{}' as child module '{}' "
+                    raise TypeError(f"cannot assign '{torch.typename(value)}' as child module '{name}' "
                                     "(torch.nn.Module or None expected)"
-                                    .format(torch.typename(value), name))
+                                    )
                 for hook in _global_module_registration_hooks.values():
                     output = hook(self, name, value)
                     if output is not None:
@@ -2201,9 +2201,9 @@ 
Source code for torch.nn.modules.module
                 buffers = self.__dict__.get('_buffers')
                 if buffers is not None and name in buffers:
                     if value is not None and not isinstance(value, torch.Tensor):
-                        raise TypeError("cannot assign '{}' as buffer '{}' "
+                        raise TypeError(f"cannot assign '{torch.typename(value)}' as buffer '{name}' "
                                         "(torch.Tensor or None expected)"
-                                        .format(torch.typename(value), name))
+                                        )
                     for hook in _global_buffer_registration_hooks.values():
                         output = hook(self, name, value)
                         if output is not None:
@@ -2459,10 +2459,10 @@ 
Source code for torch.nn.modules.module
             if key in state_dict:
                 input_param = state_dict[key]
                 if not torch.overrides.is_tensor_like(input_param):
-                    error_msgs.append('While copying the parameter named "{}", '
+                    error_msgs.append(f'While copying the parameter named "{key}", '
                                       'expected torch.Tensor or Tensor-like object from checkpoint but '
-                                      'received {}'
-                                      .format(key, type(input_param)))
+                                      f'received {type(input_param)}'
+                                      )
                     continue
 
                 # This is used to avoid copying uninitialized parameters into
@@ -2498,11 +2498,11 @@ 
Source code for torch.nn.modules.module
                         else:
                             param.copy_(input_param)
                 except Exception as ex:
-                    error_msgs.append('While copying the parameter named "{}", '
-                                      'whose dimensions in the model are {} and '
-                                      'whose dimensions in the checkpoint are {}, '
-                                      'an exception occurred : {}.'
-                                      .format(key, param.size(), input_param.size(), ex.args))
+                    error_msgs.append(f'While copying the parameter named "{key}", '
+                                      f'whose dimensions in the model are {param.size()} and '
+                                      f'whose dimensions in the checkpoint are {input_param.size()}, '
+                                      f'an exception occurred : {ex.args}.'
+                                      )
             elif strict:
                 missing_keys.append(key)
 
diff --git a/docs/main/_modules/torch/nn/modules/normalization.html b/docs/main/_modules/torch/nn/modules/normalization.html
index f73fe3cb8ffd..77cfdc7ba3a4 100644
--- a/docs/main/_modules/torch/nn/modules/normalization.html
+++ b/docs/main/_modules/torch/nn/modules/normalization.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
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diff --git a/docs/main/_modules/torch/nn/modules/padding.html b/docs/main/_modules/torch/nn/modules/padding.html
index 552098c10894..0de58c0f51ce 100644
--- a/docs/main/_modules/torch/nn/modules/padding.html
+++ b/docs/main/_modules/torch/nn/modules/padding.html
@@ -230,7 +230,7 @@
           

             
     

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index 13fd82d8ff5e..4c2bce32ef81 100644
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diff --git a/docs/main/_modules/torch/nn/modules/pooling.html b/docs/main/_modules/torch/nn/modules/pooling.html
index d5e328744066..87cecefb88dc 100644
--- a/docs/main/_modules/torch/nn/modules/pooling.html
+++ b/docs/main/_modules/torch/nn/modules/pooling.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/nn/modules/rnn.html b/docs/main/_modules/torch/nn/modules/rnn.html
index 88e8a32f879e..8aa3de84d3c3 100644
--- a/docs/main/_modules/torch/nn/modules/rnn.html
+++ b/docs/main/_modules/torch/nn/modules/rnn.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -529,8 +529,8 @@ 
Source code for torch.nn.modules.rnn
         if dropout > 0 and num_layers == 1:
             warnings.warn("dropout option adds dropout after all but last "
                           "recurrent layer, so non-zero dropout expects "
-                          "num_layers greater than 1, but got dropout={} and "
-                          "num_layers={}".format(dropout, num_layers))
+                          f"num_layers greater than 1, but got dropout={dropout} and "
+                          f"num_layers={num_layers}")
 
         if not isinstance(hidden_size, int):
             raise TypeError(f"hidden_size should be of type int, got: {type(hidden_size).__name__}")
diff --git a/docs/main/_modules/torch/nn/modules/sparse.html b/docs/main/_modules/torch/nn/modules/sparse.html
index 1acfc673bd1f..efb14aadb250 100644
--- a/docs/main/_modules/torch/nn/modules/sparse.html
+++ b/docs/main/_modules/torch/nn/modules/sparse.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/nn/modules/transformer.html b/docs/main/_modules/torch/nn/modules/transformer.html
index c3bc54eff4d4..815a3088d6a9 100644
--- a/docs/main/_modules/torch/nn/modules/transformer.html
+++ b/docs/main/_modules/torch/nn/modules/transformer.html
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diff --git a/docs/main/_modules/torch/nn/modules/upsampling.html b/docs/main/_modules/torch/nn/modules/upsampling.html
index 59c7a8f50ae7..31c51801f676 100644
--- a/docs/main/_modules/torch/nn/modules/upsampling.html
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diff --git a/docs/main/_modules/torch/nn/parallel/comm.html b/docs/main/_modules/torch/nn/parallel/comm.html
index 36732d188912..527a0955676d 100644
--- a/docs/main/_modules/torch/nn/parallel/comm.html
+++ b/docs/main/_modules/torch/nn/parallel/comm.html
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diff --git a/docs/main/_modules/torch/nn/parallel/data_parallel.html b/docs/main/_modules/torch/nn/parallel/data_parallel.html
index 2809ff90fb03..a372f3ae3f1a 100644
--- a/docs/main/_modules/torch/nn/parallel/data_parallel.html
+++ b/docs/main/_modules/torch/nn/parallel/data_parallel.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -628,8 +628,8 @@ 
Source code for torch.nn.parallel.data_parallel
<
             for t in chain(self.module.parameters(), self.module.buffers()):
                 if t.device != self.src_device_obj:
                     raise RuntimeError("module must have its parameters and buffers "
-                                       "on device {} (device_ids[0]) but found one of "
-                                       "them on device: {}".format(self.src_device_obj, t.device))
+                                       f"on device {self.src_device_obj} (device_ids[0]) but found one of "
+                                       f"them on device: {t.device}")
 
             inputs, module_kwargs = self.scatter(inputs, kwargs, self.device_ids)
             # for forward function without any inputs, empty list and dict will be created
@@ -708,8 +708,8 @@ 
Source code for torch.nn.parallel.data_parallel
<
     for t in chain(module.parameters(), module.buffers()):
         if t.device != src_device_obj:
             raise RuntimeError("module must have its parameters and buffers "
-                               "on device {} (device_ids[0]) but found one of "
-                               "them on device: {}".format(src_device_obj, t.device))
+                               f"on device {src_device_obj} (device_ids[0]) but found one of "
+                               f"them on device: {t.device}")
 
     inputs, module_kwargs = scatter_kwargs(inputs, module_kwargs, device_ids, dim)
     # for module without any inputs, empty list and dict will be created
diff --git a/docs/main/_modules/torch/nn/parallel/distributed.html b/docs/main/_modules/torch/nn/parallel/distributed.html
index b8ff33810229..d743a595c18a 100644
--- a/docs/main/_modules/torch/nn/parallel/distributed.html
+++ b/docs/main/_modules/torch/nn/parallel/distributed.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -1156,9 +1156,7 @@ 
Source code for torch.nn.parallel.distributed
self._log_and_throw(
                 ValueError,
                 "DistributedDataParallel's input module must be on "
-                "the same type of devices, but input module parameters locate in {}.".format(
-                    distinct_device_types
-                ),
+                f"the same type of devices, but input module parameters locate in {distinct_device_types}.",
             )
 
         self.device_type = list(distinct_device_types)[0]
diff --git a/docs/main/_modules/torch/nn/parameter.html b/docs/main/_modules/torch/nn/parameter.html
index 5f1e32c94f20..80c9abe8a9c7 100644
--- a/docs/main/_modules/torch/nn/parameter.html
+++ b/docs/main/_modules/torch/nn/parameter.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -613,11 +613,11 @@ 
Source code for torch.nn.parameter
                 kwargs = {}
             return super().__torch_function__(func, types, args, kwargs)
         raise ValueError(
-            'Attempted to use an uninitialized parameter in {}. '
+            f'Attempted to use an uninitialized parameter in {func}. '
             'This error happens when you are using a `LazyModule` or '
-            'explicitly manipulating `torch.nn.parameter.{}` '
+            f'explicitly manipulating `torch.nn.parameter.{cls.__name__}` '
             'objects. When using LazyModules Call `forward` with a dummy batch '
-            'to initialize the parameters before calling torch functions'.format(func, cls.__name__))
+            'to initialize the parameters before calling torch functions')
 
 
 def is_lazy(param):
diff --git a/docs/main/_modules/torch/nn/utils/clip_grad.html b/docs/main/_modules/torch/nn/utils/clip_grad.html
index d4b6c5e0c284..369d509a23d2 100644
--- a/docs/main/_modules/torch/nn/utils/clip_grad.html
+++ b/docs/main/_modules/torch/nn/utils/clip_grad.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/nn/utils/convert_parameters.html b/docs/main/_modules/torch/nn/utils/convert_parameters.html
index 47ca53bb1f35..c642834a56f6 100644
--- a/docs/main/_modules/torch/nn/utils/convert_parameters.html
+++ b/docs/main/_modules/torch/nn/utils/convert_parameters.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/nn/utils/init.html b/docs/main/_modules/torch/nn/utils/init.html
index 26f4a728065d..9317b884c8bc 100644
--- a/docs/main/_modules/torch/nn/utils/init.html
+++ b/docs/main/_modules/torch/nn/utils/init.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/nn/utils/parametrizations.html b/docs/main/_modules/torch/nn/utils/parametrizations.html
index d6de4f0fd50d..46edcdb570ea 100644
--- a/docs/main/_modules/torch/nn/utils/parametrizations.html
+++ b/docs/main/_modules/torch/nn/utils/parametrizations.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -838,7 +838,7 @@ 
Source code for torch.nn.utils.parametrizations
<
 
         if n_power_iterations <= 0:
             raise ValueError('Expected n_power_iterations to be positive, but '
-                             'got n_power_iterations={}'.format(n_power_iterations))
+                             f'got n_power_iterations={n_power_iterations}')
         self.dim = dim if dim >= 0 else dim + ndim
         self.eps = eps
         if ndim > 1:
diff --git a/docs/main/_modules/torch/nn/utils/parametrize.html b/docs/main/_modules/torch/nn/utils/parametrize.html
index fa9580aa7af0..13843578d5d4 100644
--- a/docs/main/_modules/torch/nn/utils/parametrize.html
+++ b/docs/main/_modules/torch/nn/utils/parametrize.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/nn/utils/prune.html b/docs/main/_modules/torch/nn/utils/prune.html
index e20b230df75a..2e2df4ee56ab 100644
--- a/docs/main/_modules/torch/nn/utils/prune.html
+++ b/docs/main/_modules/torch/nn/utils/prune.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -747,9 +747,7 @@ 
Source code for torch.nn.utils.prune
         elif method is not None and self._tensor_name != method._tensor_name:
             raise ValueError(
                 "Can only add pruning methods acting on "
-                "the parameter named '{}' to PruningContainer {}.".format(
-                    self._tensor_name, self
-                )
+                f"the parameter named '{self._tensor_name}' to PruningContainer {self}."
                 + f" Found '{method._tensor_name}'"
             )
         # if all checks passed, add to _pruning_methods tuple
@@ -1551,9 +1549,7 @@ 
Source code for torch.nn.utils.prune
     if method.PRUNING_TYPE != "unstructured":
         raise TypeError(
             'Only "unstructured" PRUNING_TYPE supported for '
-            "the `pruning_method`. Found method {} of type {}".format(
-                pruning_method, method.PRUNING_TYPE
-            )
+            f"the `pruning_method`. Found method {pruning_method} of type {method.PRUNING_TYPE}"
         )
 
     container.add_pruning_method(method)
@@ -1739,7 +1735,7 @@ 
Source code for torch.nn.utils.prune
         raise ValueError(
             "Structured pruning can only be applied to "
             "multidimensional tensors. Found tensor of shape "
-            "{} with {} dims".format(shape, len(shape))
+            f"{shape} with {len(shape)} dims"
         )
 
 
diff --git a/docs/main/_modules/torch/nn/utils/rnn.html b/docs/main/_modules/torch/nn/utils/rnn.html
index d81418fd46bc..a8d45ef35dff 100644
--- a/docs/main/_modules/torch/nn/utils/rnn.html
+++ b/docs/main/_modules/torch/nn/utils/rnn.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -786,8 +786,8 @@ 
Source code for torch.nn.utils.rnn
         if total_length < max_seq_length:
             raise ValueError("Expected total_length to be at least the length "
                              "of the longest sequence in input, but got "
-                             "total_length={} and max sequence length being {}"
-                             .format(total_length, max_seq_length))
+                             f"total_length={total_length} and max sequence length being {max_seq_length}"
+                             )
         max_seq_length = total_length
     padded_output, lengths = _VF._pad_packed_sequence(
         sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
diff --git a/docs/main/_modules/torch/nn/utils/spectral_norm.html b/docs/main/_modules/torch/nn/utils/spectral_norm.html
index 80eceb7009e4..dfe83445ce0e 100644
--- a/docs/main/_modules/torch/nn/utils/spectral_norm.html
+++ b/docs/main/_modules/torch/nn/utils/spectral_norm.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -488,7 +488,7 @@ 
Source code for torch.nn.utils.spectral_norm
self.dim = dim
         if n_power_iterations <= 0:
             raise ValueError('Expected n_power_iterations to be positive, but '
-                             'got n_power_iterations={}'.format(n_power_iterations))
+                             f'got n_power_iterations={n_power_iterations}')
         self.n_power_iterations = n_power_iterations
         self.eps = eps
 
diff --git a/docs/main/_modules/torch/nn/utils/stateless.html b/docs/main/_modules/torch/nn/utils/stateless.html
index 31d6025990ab..5a365f3285b2 100644
--- a/docs/main/_modules/torch/nn/utils/stateless.html
+++ b/docs/main/_modules/torch/nn/utils/stateless.html
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diff --git a/docs/main/_modules/torch/nn/utils/weight_norm.html b/docs/main/_modules/torch/nn/utils/weight_norm.html
index 22ee9a884399..c1901d166f52 100644
--- a/docs/main/_modules/torch/nn/utils/weight_norm.html
+++ b/docs/main/_modules/torch/nn/utils/weight_norm.html
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index 2e47a055a8d6..0af780098cfe 100644
--- a/docs/main/_modules/torch/onnx.html
+++ b/docs/main/_modules/torch/onnx.html
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index 30ba383d83fc..1f03ee2125a2 100644
--- a/docs/main/_modules/torch/onnx/_internal/diagnostics/_diagnostic.html
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index e59fe005bb51..ba35ee1a8dc4 100644
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index 357991d956bf..d52da412a8f4 100644
--- a/docs/main/_modules/torch/onnx/_type_utils.html
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index 21f532250f31..aa58497f5417 100644
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index 4f72039d0e2c..0bb06799ea40 100644
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index bbfb8bfe870f..2e32b3099d1f 100644
--- a/docs/main/_modules/torch/optim/adadelta.html
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index 8673b96d41f9..d4668c4c5d28 100644
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index ff8e346c6335..0bde2d3396af 100644
--- a/docs/main/_modules/torch/optim/adam.html
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index 0aca122c32e4..3504bb20f900 100644
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index 2b5c60bd46fa..b1344ff4be1e 100644
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index 22e19c8520f8..3d3f5ea82b28 100644
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index 65a73d5277d3..396be3a2ba76 100644
--- a/docs/main/_modules/torch/optim/lbfgs.html
+++ b/docs/main/_modules/torch/optim/lbfgs.html
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diff --git a/docs/main/_modules/torch/optim/lr_scheduler.html b/docs/main/_modules/torch/optim/lr_scheduler.html
index c925ce40e366..811dd9c1eb93 100644
--- a/docs/main/_modules/torch/optim/lr_scheduler.html
+++ b/docs/main/_modules/torch/optim/lr_scheduler.html
@@ -230,7 +230,7 @@
           

             
     

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@@ -499,7 +499,7 @@ 
Source code for torch.optim.lr_scheduler
             for i, group in enumerate(optimizer.param_groups):
                 if 'initial_lr' not in group:
                     raise KeyError("param 'initial_lr' is not specified "
-                                   "in param_groups[{}] when resuming an optimizer".format(i))
+                                   f"in param_groups[{i}] when resuming an optimizer")
         self.base_lrs = [group['initial_lr'] for group in optimizer.param_groups]
         self.last_epoch = last_epoch
 
@@ -1104,8 +1104,8 @@ 
Source code for torch.optim.lr_scheduler
         if (len(milestones) != len(schedulers) - 1):
             raise ValueError(
                 "Sequential Schedulers expects number of schedulers provided to be one more "
-                "than the number of milestone points, but got number of schedulers {} and the "
-                "number of milestones to be equal to {}".format(len(schedulers), len(milestones))
+                f"than the number of milestone points, but got number of schedulers {len(schedulers)} and the "
+                f"number of milestones to be equal to {len(milestones)}"
             )
         self._schedulers = schedulers
         self._milestones = milestones
@@ -1321,7 +1321,7 @@ 
Source code for torch.optim.lr_scheduler
             if (schedulers[scheduler_idx].optimizer != schedulers[0].optimizer):
                 raise ValueError(
                     "ChainedScheduler expects all schedulers to belong to the same optimizer, but "
-                    "got schedulers at index {} and {} to be different".format(0, scheduler_idx)
+                    f"got schedulers at index {0} and {scheduler_idx} to be different"
                 )
         self._schedulers = list(schedulers)
         self.optimizer = schedulers[0].optimizer
diff --git a/docs/main/_modules/torch/optim/nadam.html b/docs/main/_modules/torch/optim/nadam.html
index a114e21abe27..02d049e2a31c 100644
--- a/docs/main/_modules/torch/optim/nadam.html
+++ b/docs/main/_modules/torch/optim/nadam.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/optim/optimizer.html b/docs/main/_modules/torch/optim/optimizer.html
index 18dd04cb1250..e7f8af160dba 100644
--- a/docs/main/_modules/torch/optim/optimizer.html
+++ b/docs/main/_modules/torch/optim/optimizer.html
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diff --git a/docs/main/_modules/torch/optim/radam.html b/docs/main/_modules/torch/optim/radam.html
index 8c7f33ea0fdb..27878a0fc9fb 100644
--- a/docs/main/_modules/torch/optim/radam.html
+++ b/docs/main/_modules/torch/optim/radam.html
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diff --git a/docs/main/_modules/torch/optim/rmsprop.html b/docs/main/_modules/torch/optim/rmsprop.html
index dd85c217c1e7..0c87d683869b 100644
--- a/docs/main/_modules/torch/optim/rmsprop.html
+++ b/docs/main/_modules/torch/optim/rmsprop.html
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diff --git a/docs/main/_modules/torch/optim/rprop.html b/docs/main/_modules/torch/optim/rprop.html
index 96cd3d6dbeed..0bfa654b77c4 100644
--- a/docs/main/_modules/torch/optim/rprop.html
+++ b/docs/main/_modules/torch/optim/rprop.html
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diff --git a/docs/main/_modules/torch/optim/sgd.html b/docs/main/_modules/torch/optim/sgd.html
index 0c200c9887d8..aeb20cc6387c 100644
--- a/docs/main/_modules/torch/optim/sgd.html
+++ b/docs/main/_modules/torch/optim/sgd.html
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diff --git a/docs/main/_modules/torch/optim/sparse_adam.html b/docs/main/_modules/torch/optim/sparse_adam.html
index 0cb46857fbfc..8e56ceed59ea 100644
--- a/docs/main/_modules/torch/optim/sparse_adam.html
+++ b/docs/main/_modules/torch/optim/sparse_adam.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/overrides.html b/docs/main/_modules/torch/overrides.html
index d6fe1ec1b575..6eddeab9a748 100644
--- a/docs/main/_modules/torch/overrides.html
+++ b/docs/main/_modules/torch/overrides.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -2033,9 +2033,9 @@ 
Source code for torch.overrides
 
     func_name = f'{public_api.__module__}.{public_api.__name__}'
     msg = (
-        "no implementation found for '{}' on types that implement "
-        '__torch_function__: {}'
-    ).format(func_name, [type(arg) for arg in overloaded_args])
+        f"no implementation found for '{func_name}' on types that implement "
+        f'__torch_function__: {[type(arg) for arg in overloaded_args]}'
+    )
     if _is_torch_function_mode_enabled():
         msg += f" nor in mode {_get_current_function_mode()}"
     raise TypeError(msg)

diff --git a/docs/main/_modules/torch/package/file_structure_representation.html b/docs/main/_modules/torch/package/file_structure_representation.html
index d2dd7a5e34b4..333448b777ab 100644
--- a/docs/main/_modules/torch/package/file_structure_representation.html
+++ b/docs/main/_modules/torch/package/file_structure_representation.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/package/package_exporter.html b/docs/main/_modules/torch/package/package_exporter.html
index 37f3829ec671..5424502eedcd 100644
--- a/docs/main/_modules/torch/package/package_exporter.html
+++ b/docs/main/_modules/torch/package/package_exporter.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/package/package_importer.html b/docs/main/_modules/torch/package/package_importer.html
index 8456201a3de3..a2969f18b6b2 100644
--- a/docs/main/_modules/torch/package/package_importer.html
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diff --git a/docs/main/_modules/torch/profiler/itt.html b/docs/main/_modules/torch/profiler/itt.html
index a1d6df2023b5..8de7f3f57cc7 100644
--- a/docs/main/_modules/torch/profiler/itt.html
+++ b/docs/main/_modules/torch/profiler/itt.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/profiler/profiler.html b/docs/main/_modules/torch/profiler/profiler.html
index 0c8eccc43301..9cf7b671d53f 100644
--- a/docs/main/_modules/torch/profiler/profiler.html
+++ b/docs/main/_modules/torch/profiler/profiler.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/quasirandom.html b/docs/main/_modules/torch/quasirandom.html
index 491822ff3e54..83c7833b812c 100644
--- a/docs/main/_modules/torch/quasirandom.html
+++ b/docs/main/_modules/torch/quasirandom.html
@@ -230,7 +230,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -581,11 +581,11 @@ 
Source code for torch.quasirandom
         total_n = self.num_generated + n
         if not (total_n & (total_n - 1) == 0):
             raise ValueError("The balance properties of Sobol' points require "
-                             "n to be a power of 2. {0} points have been "
-                             "previously generated, then: n={0}+2**{1}={2}. "
+                             f"n to be a power of 2. {self.num_generated} points have been "
+                             f"previously generated, then: n={self.num_generated}+2**{m}={total_n}. "
                              "If you still want to do this, please use "
                              "'SobolEngine.draw()' instead."
-                             .format(self.num_generated, m, total_n))
+                             )
         return self.draw(n=n, out=out, dtype=dtype)

 
 
[docs]    def reset(self):
diff --git a/docs/main/_modules/torch/random.html b/docs/main/_modules/torch/random.html
index 87dabe79553b..5dd967949445 100644
--- a/docs/main/_modules/torch/random.html
+++ b/docs/main/_modules/torch/random.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/serialization.html b/docs/main/_modules/torch/serialization.html
index 28480a35adac..aefca5d29395 100644
--- a/docs/main/_modules/torch/serialization.html
+++ b/docs/main/_modules/torch/serialization.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -661,10 +661,8 @@ 
Source code for torch.serialization
 
     except Exception as e:
         message = (
-            "'{}' module version string is malformed '{}' and cannot be compared"
-            " with tuple {}"
-        ).format(
-            module.__name__, module.__version__, str(req_version_tuple)
+            f"'{module.__name__}' module version string is malformed '{module.__version__}' and cannot be compared"
+            f" with tuple {str(req_version_tuple)}"
         )
         if error_if_malformed:
             raise RuntimeError(message) from e
diff --git a/docs/main/_modules/torch/signal/windows/windows.html b/docs/main/_modules/torch/signal/windows/windows.html
index bc497246a564..c661139d8c04 100644
--- a/docs/main/_modules/torch/signal/windows/windows.html
+++ b/docs/main/_modules/torch/signal/windows/windows.html
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diff --git a/docs/main/_modules/torch/sparse.html b/docs/main/_modules/torch/sparse.html
index 3bba6c1973ab..9716ad74210f 100644
--- a/docs/main/_modules/torch/sparse.html
+++ b/docs/main/_modules/torch/sparse.html
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diff --git a/docs/main/_modules/torch/storage.html b/docs/main/_modules/torch/storage.html
index 8b2aeb1b9227..1a5deff2a80a 100644
--- a/docs/main/_modules/torch/storage.html
+++ b/docs/main/_modules/torch/storage.html
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diff --git a/docs/main/_modules/torch/testing/_comparison.html b/docs/main/_modules/torch/testing/_comparison.html
index bfb519c8578a..dd7040218d47 100644
--- a/docs/main/_modules/torch/testing/_comparison.html
+++ b/docs/main/_modules/torch/testing/_comparison.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/testing/_creation.html b/docs/main/_modules/torch/testing/_creation.html
index 66af11c8ad73..167313b3922e 100644
--- a/docs/main/_modules/torch/testing/_creation.html
+++ b/docs/main/_modules/torch/testing/_creation.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/utils.html b/docs/main/_modules/torch/utils.html
index 2ec779667dfc..c4881e6cad5f 100644
--- a/docs/main/_modules/torch/utils.html
+++ b/docs/main/_modules/torch/utils.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/utils/backend_registration.html b/docs/main/_modules/torch/utils/backend_registration.html
index c785f3550d20..f775e6c2d5a3 100644
--- a/docs/main/_modules/torch/utils/backend_registration.html
+++ b/docs/main/_modules/torch/utils/backend_registration.html
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diff --git a/docs/main/_modules/torch/utils/benchmark/utils/common.html b/docs/main/_modules/torch/utils/benchmark/utils/common.html
index cf562a9f1393..840d6dedbd94 100644
--- a/docs/main/_modules/torch/utils/benchmark/utils/common.html
+++ b/docs/main/_modules/torch/utils/benchmark/utils/common.html
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diff --git a/docs/main/_modules/torch/utils/benchmark/utils/timer.html b/docs/main/_modules/torch/utils/benchmark/utils/timer.html
index 32fe210515d0..f72011bd42ac 100644
--- a/docs/main/_modules/torch/utils/benchmark/utils/timer.html
+++ b/docs/main/_modules/torch/utils/benchmark/utils/timer.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.html b/docs/main/_modules/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.html
index 950d060351d2..7add1eb6bb0e 100644
--- a/docs/main/_modules/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.html
+++ b/docs/main/_modules/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.html
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index de1f085b885b..9e15caa7256e 100644
--- a/docs/main/_modules/torch/utils/checkpoint.html
+++ b/docs/main/_modules/torch/utils/checkpoint.html
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diff --git a/docs/main/_modules/torch/utils/cpp_backtrace.html b/docs/main/_modules/torch/utils/cpp_backtrace.html
index ad1c9764b19e..fb8c2eccf917 100644
--- a/docs/main/_modules/torch/utils/cpp_backtrace.html
+++ b/docs/main/_modules/torch/utils/cpp_backtrace.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/utils/cpp_extension.html b/docs/main/_modules/torch/utils/cpp_extension.html
index 85bd7c20a1e0..78ea67722c45 100644
--- a/docs/main/_modules/torch/utils/cpp_extension.html
+++ b/docs/main/_modules/torch/utils/cpp_extension.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -1885,11 +1885,9 @@ 
Source code for torch.utils.cpp_extension
             raise ValueError(f"Expected 'functions' to be a list or dict, but was {type(functions)}")
         for function_name, docstring in functions.items():
             if with_pytorch_error_handling:
-                module_def.append(
-                    'm.def("{0}", torch::wrap_pybind_function({0}), "{1}");'
-                    .format(function_name, docstring))
+                module_def.append(f'm.def("{function_name}", torch::wrap_pybind_function({function_name}), "{docstring}");')
             else:
-                module_def.append('m.def("{0}", {0}, "{1}");'.format(function_name, docstring))
+                module_def.append(f'm.def("{function_name}", {function_name}, "{docstring}");')
         module_def.append('}')
         cpp_sources += module_def
 
diff --git a/docs/main/_modules/torch/utils/data/_utils/collate.html b/docs/main/_modules/torch/utils/data/_utils/collate.html
index efa613951b38..573c2d6f431b 100644
--- a/docs/main/_modules/torch/utils/data/_utils/collate.html
+++ b/docs/main/_modules/torch/utils/data/_utils/collate.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/utils/data/_utils/worker.html b/docs/main/_modules/torch/utils/data/_utils/worker.html
index 60cbba3bab0e..c9bc638f7734 100644
--- a/docs/main/_modules/torch/utils/data/_utils/worker.html
+++ b/docs/main/_modules/torch/utils/data/_utils/worker.html
@@ -230,7 +230,7 @@
           

             
     

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diff --git a/docs/main/_modules/torch/utils/data/dataloader.html b/docs/main/_modules/torch/utils/data/dataloader.html
index 534abe32ee1e..de57c150fd31 100644
--- a/docs/main/_modules/torch/utils/data/dataloader.html
+++ b/docs/main/_modules/torch/utils/data/dataloader.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
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@@ -776,7 +776,7 @@ 
Source code for torch.utils.data.dataloader
                 # See NOTE [ Custom Samplers and IterableDataset ]
                 raise ValueError(
                     "DataLoader with IterableDataset: expected unspecified "
-                    "batch_sampler option, but got batch_sampler={}".format(batch_sampler))
+                    f"batch_sampler option, but got batch_sampler={batch_sampler}")
         else:
             shuffle = bool(shuffle)
             self._dataset_kind = _DatasetKind.Map
@@ -858,19 +858,19 @@ 
Source code for torch.utils.data.dataloader
                     valid_start_methods = multiprocessing.get_all_start_methods()
                     if multiprocessing_context not in valid_start_methods:
                         raise ValueError(
-                            ('multiprocessing_context option '
-                             'should specify a valid start method in {!r}, but got '
-                             'multiprocessing_context={!r}').format(valid_start_methods, multiprocessing_context))
+                            'multiprocessing_context option '
+                            f'should specify a valid start method in {valid_start_methods!r}, but got '
+                            f'multiprocessing_context={multiprocessing_context!r}')
                     multiprocessing_context = multiprocessing.get_context(multiprocessing_context)
 
                 if not isinstance(multiprocessing_context, python_multiprocessing.context.BaseContext):
-                    raise TypeError(('multiprocessing_context option should be a valid context '
-                                     'object or a string specifying the start method, but got '
-                                     'multiprocessing_context={}').format(multiprocessing_context))
+                    raise TypeError('multiprocessing_context option should be a valid context '
+                                    'object or a string specifying the start method, but got '
+                                    f'multiprocessing_context={multiprocessing_context}')
             else:
-                raise ValueError(('multiprocessing_context can only be used with '
-                                  'multi-process loading (num_workers > 0), but got '
-                                  'num_workers={}').format(self.num_workers))
+                raise ValueError('multiprocessing_context can only be used with '
+                                 'multi-process loading (num_workers > 0), but got '
+                                 f'num_workers={self.num_workers}')
 
         self.__multiprocessing_context = multiprocessing_context
 
diff --git a/docs/main/_modules/torch/utils/data/dataset.html b/docs/main/_modules/torch/utils/data/dataset.html
index e68c6552b3d7..394ad0f6938e 100644
--- a/docs/main/_modules/torch/utils/data/dataset.html
+++ b/docs/main/_modules/torch/utils/data/dataset.html
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diff --git a/docs/main/_modules/torch/utils/data/distributed.html b/docs/main/_modules/torch/utils/data/distributed.html
index 8a619fa27a91..75f16235a9a4 100644
--- a/docs/main/_modules/torch/utils/data/distributed.html
+++ b/docs/main/_modules/torch/utils/data/distributed.html
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diff --git a/docs/main/_modules/torch/utils/data/sampler.html b/docs/main/_modules/torch/utils/data/sampler.html
index d0105713d0f7..1f0cac212279 100644
--- a/docs/main/_modules/torch/utils/data/sampler.html
+++ b/docs/main/_modules/torch/utils/data/sampler.html
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@@ -684,7 +684,7 @@ 
Source code for torch.utils.data.sampler
         weights_tensor = torch.as_tensor(weights, dtype=torch.double)
         if len(weights_tensor.shape) != 1:
             raise ValueError("weights should be a 1d sequence but given "
-                             "weights have shape {}".format(tuple(weights_tensor.shape)))
+                             f"weights have shape {tuple(weights_tensor.shape)}")
 
         self.weights = weights_tensor
         self.num_samples = num_samples
diff --git a/docs/main/_modules/torch/utils/dlpack.html b/docs/main/_modules/torch/utils/dlpack.html
index 607a000b4095..3d23a89ca887 100644
--- a/docs/main/_modules/torch/utils/dlpack.html
+++ b/docs/main/_modules/torch/utils/dlpack.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/torch/utils/mobile_optimizer.html b/docs/main/_modules/torch/utils/mobile_optimizer.html
index 437ccb264df0..030051cb4235 100644
--- a/docs/main/_modules/torch/utils/mobile_optimizer.html
+++ b/docs/main/_modules/torch/utils/mobile_optimizer.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
@@ -556,9 +556,9 @@ 
Source code for torch.utils.mobile_optimizer
for name, param in script_module.named_parameters():
         if param.requires_grad:
-            lint_list.append({"name": LintCode.REQUIRES_GRAD.name, "message": "Param {} requires grad, "
+            lint_list.append({"name": LintCode.REQUIRES_GRAD.name, "message": f"Param {name} requires grad, "
                              "please set torch.no_grad() to reduce memory usage and improve computation speed during "
-                              "inference phase.".format(name)})
+                              "inference phase."})
 
     op_names = torch.jit.export_opnames(script_module)
     for op_name in op_names:
diff --git a/docs/main/_modules/torch/utils/tensorboard/writer.html b/docs/main/_modules/torch/utils/tensorboard/writer.html
index ba3721c3046e..a1215f488101 100644
--- a/docs/main/_modules/torch/utils/tensorboard/writer.html
+++ b/docs/main/_modules/torch/utils/tensorboard/writer.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_modules/typing.html b/docs/main/_modules/typing.html
index dec2351a1efa..d7330460a4b8 100644
--- a/docs/main/_modules/typing.html
+++ b/docs/main/_modules/typing.html
@@ -230,7 +230,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/_sources/generated/exportdb/index.rst.txt b/docs/main/_sources/generated/exportdb/index.rst.txt
index 453d6874ab89..d2873f944dab 100644
--- a/docs/main/_sources/generated/exportdb/index.rst.txt
+++ b/docs/main/_sources/generated/exportdb/index.rst.txt
@@ -17,8 +17,8 @@ support in export please create an issue in the pytorch/pytorch repo wih a modul
     :caption: Tags
 
     torch.escape-hatch
-    torch.cond
     torch.dynamic-shape
+    torch.cond
     python.closure
     python.data-structure
     python.assert
@@ -196,7 +196,7 @@ cond_branch_class_method
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -277,7 +277,7 @@ cond_branch_nested_function
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -353,7 +353,7 @@ cond_branch_nonlocal_variables
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -514,7 +514,7 @@ cond_operands
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -584,7 +584,7 @@ cond_predicate
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -825,7 +825,7 @@ dynamic_shape_if_guard
 
 .. note::
 
-    Tags: :doc:`python.control-flow `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.control-flow `
 
     Support Level: SUPPORTED
 
@@ -872,7 +872,7 @@ dynamic_shape_map
 
 .. note::
 
-    Tags: :doc:`torch.map `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.map `
 
     Support Level: SUPPORTED
 
@@ -1063,7 +1063,7 @@ list_contains
 
 .. note::
 
-    Tags: :doc:`python.data-structure `, :doc:`torch.dynamic-shape `, :doc:`python.assert `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.assert `, :doc:`python.data-structure `
 
     Support Level: SUPPORTED
 
diff --git a/docs/main/_sources/generated/exportdb/python.assert.rst.txt b/docs/main/_sources/generated/exportdb/python.assert.rst.txt
index 8337e9eba1b1..5ae1af83eebe 100644
--- a/docs/main/_sources/generated/exportdb/python.assert.rst.txt
+++ b/docs/main/_sources/generated/exportdb/python.assert.rst.txt
@@ -47,7 +47,7 @@ list_contains
 
 .. note::
 
-    Tags: :doc:`python.data-structure `, :doc:`torch.dynamic-shape `, :doc:`python.assert `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.assert `, :doc:`python.data-structure `
 
     Support Level: SUPPORTED
 
diff --git a/docs/main/_sources/generated/exportdb/python.control-flow.rst.txt b/docs/main/_sources/generated/exportdb/python.control-flow.rst.txt
index ae3bcee40359..f59ecc010515 100644
--- a/docs/main/_sources/generated/exportdb/python.control-flow.rst.txt
+++ b/docs/main/_sources/generated/exportdb/python.control-flow.rst.txt
@@ -5,7 +5,7 @@ dynamic_shape_if_guard
 
 .. note::
 
-    Tags: :doc:`python.control-flow `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.control-flow `
 
     Support Level: SUPPORTED
 
diff --git a/docs/main/_sources/generated/exportdb/python.data-structure.rst.txt b/docs/main/_sources/generated/exportdb/python.data-structure.rst.txt
index 24109f8a5f2e..474eeed87f1d 100644
--- a/docs/main/_sources/generated/exportdb/python.data-structure.rst.txt
+++ b/docs/main/_sources/generated/exportdb/python.data-structure.rst.txt
@@ -102,7 +102,7 @@ list_contains
 
 .. note::
 
-    Tags: :doc:`python.data-structure `, :doc:`torch.dynamic-shape `, :doc:`python.assert `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.assert `, :doc:`python.data-structure `
 
     Support Level: SUPPORTED
 
diff --git a/docs/main/_sources/generated/exportdb/torch.cond.rst.txt b/docs/main/_sources/generated/exportdb/torch.cond.rst.txt
index 699360ac86a1..5caff72c79a3 100644
--- a/docs/main/_sources/generated/exportdb/torch.cond.rst.txt
+++ b/docs/main/_sources/generated/exportdb/torch.cond.rst.txt
@@ -5,7 +5,7 @@ cond_branch_class_method
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -86,7 +86,7 @@ cond_branch_nested_function
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -162,7 +162,7 @@ cond_branch_nonlocal_variables
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -323,7 +323,7 @@ cond_operands
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -393,7 +393,7 @@ cond_predicate
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
diff --git a/docs/main/_sources/generated/exportdb/torch.dynamic-shape.rst.txt b/docs/main/_sources/generated/exportdb/torch.dynamic-shape.rst.txt
index b6a1fc4946ea..5b633f78cabb 100644
--- a/docs/main/_sources/generated/exportdb/torch.dynamic-shape.rst.txt
+++ b/docs/main/_sources/generated/exportdb/torch.dynamic-shape.rst.txt
@@ -5,7 +5,7 @@ cond_branch_class_method
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -86,7 +86,7 @@ cond_branch_nested_function
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -162,7 +162,7 @@ cond_branch_nonlocal_variables
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -261,7 +261,7 @@ cond_operands
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -331,7 +331,7 @@ cond_predicate
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -432,7 +432,7 @@ dynamic_shape_if_guard
 
 .. note::
 
-    Tags: :doc:`python.control-flow `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.control-flow `
 
     Support Level: SUPPORTED
 
@@ -479,7 +479,7 @@ dynamic_shape_map
 
 .. note::
 
-    Tags: :doc:`torch.map `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.map `
 
     Support Level: SUPPORTED
 
@@ -651,7 +651,7 @@ list_contains
 
 .. note::
 
-    Tags: :doc:`python.data-structure `, :doc:`torch.dynamic-shape `, :doc:`python.assert `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.assert `, :doc:`python.data-structure `
 
     Support Level: SUPPORTED
 
diff --git a/docs/main/_sources/generated/exportdb/torch.map.rst.txt b/docs/main/_sources/generated/exportdb/torch.map.rst.txt
index 3fa384b997af..a054dc0b254b 100644
--- a/docs/main/_sources/generated/exportdb/torch.map.rst.txt
+++ b/docs/main/_sources/generated/exportdb/torch.map.rst.txt
@@ -5,7 +5,7 @@ dynamic_shape_map
 
 .. note::
 
-    Tags: :doc:`torch.map `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.map `
 
     Support Level: SUPPORTED
 
diff --git a/docs/main/amp.html b/docs/main/amp.html
index de9a3ed452eb..2593fac6d5cc 100644
--- a/docs/main/amp.html
+++ b/docs/main/amp.html
@@ -231,7 +231,7 @@
           

             
     

-      main (2.1.0a0+git02c2b75 ) ▼
+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/autograd.html b/docs/main/autograd.html
index f04e77f118bd..9c96af484b2c 100644
--- a/docs/main/autograd.html
+++ b/docs/main/autograd.html
@@ -231,7 +231,7 @@
           

             
     

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+      main (2.1.0a0+gitc1cc74c ) ▼
     

     
 
diff --git a/docs/main/backends.html b/docs/main/backends.html
index b07fb005ea54..d09a207840e0 100644
--- a/docs/main/backends.html
+++ b/docs/main/backends.html
@@ -231,7 +231,7 @@
           

             
     

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index 7bd2f5aa7699..e9f1f31b6148 100644
--- a/docs/main/benchmark_utils.html
+++ b/docs/main/benchmark_utils.html
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index 6b4e964e908d..1432db25c3f5 100644
--- a/docs/main/bottleneck.html
+++ b/docs/main/bottleneck.html
@@ -231,7 +231,7 @@
           

             
     

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diff --git a/docs/main/checkpoint.html b/docs/main/checkpoint.html
index 6a0ed0c938c0..10fda91a1d0a 100644
--- a/docs/main/checkpoint.html
+++ b/docs/main/checkpoint.html
@@ -231,7 +231,7 @@
           

             
     

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index 6271ec315993..f74e95f1093b 100644
--- a/docs/main/community/build_ci_governance.html
+++ b/docs/main/community/build_ci_governance.html
@@ -231,7 +231,7 @@
           

             
     

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index dcf30a9c414b..3f2e30cabdf1 100644
--- a/docs/main/community/contribution_guide.html
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@@ -231,7 +231,7 @@
           

             
     

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index 9df0e527f366..2f23e181fcda 100644
--- a/docs/main/community/design.html
+++ b/docs/main/community/design.html
@@ -231,7 +231,7 @@
           

             
     

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diff --git a/docs/main/community/governance.html b/docs/main/community/governance.html
index 9b67fd2cbf73..da6968467e10 100644
--- a/docs/main/community/governance.html
+++ b/docs/main/community/governance.html
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index a0078f5c568b..3fbdd3432870 100644
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index 5dcafbd2a7c0..8f2fa065d4f7 100644
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+++ b/docs/main/complex_numbers.html
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index 797c28fb298b..74737b2ba5be 100644
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index c8bdb64efca7..f78ed7c0db2c 100644
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index ffd2b8b4577d..752e8dd45249 100644
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index 0cdcdaee4c24..1f986c338443 100644
--- a/docs/main/cpu.html
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index 473f4ac2baff..9f9ccf552b6b 100644
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index 675035371b67..75e6b21582bc 100644
--- a/docs/main/cuda.html
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index 9f8dbed90dae..67793174661f 100644
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index 5df261d704b3..cdd2cbbe386b 100644
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