diff --git a/main/_images/RReLU.png b/main/_images/RReLU.png index f949e7dfce..ead5d91c89 100644 Binary files a/main/_images/RReLU.png and b/main/_images/RReLU.png differ diff --git a/main/_modules/index.html b/main/_modules/index.html index e99ef1585a..647749d227 100644 --- a/main/_modules/index.html +++ b/main/_modules/index.html @@ -280,7 +280,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
diff --git a/main/_modules/torch.html b/main/_modules/torch.html index 07c3b0b5ec..d418ebc375 100644 --- a/main/_modules/torch.html +++ b/main/_modules/torch.html @@ -280,7 +280,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
diff --git a/main/_modules/torch/__config__.html b/main/_modules/torch/__config__.html index f07061ae47..eb38b91fcf 100644 --- a/main/_modules/torch/__config__.html +++ b/main/_modules/torch/__config__.html @@ -280,7 +280,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
diff --git a/main/_modules/torch/__future__.html b/main/_modules/torch/__future__.html index af9af0a342..a329fb5d9c 100644 --- a/main/_modules/torch/__future__.html +++ b/main/_modules/torch/__future__.html @@ -280,7 +280,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
diff --git a/main/_modules/torch/_jit_internal.html b/main/_modules/torch/_jit_internal.html index c9d1ea9f9c..4c4a587f7f 100644 --- a/main/_modules/torch/_jit_internal.html +++ b/main/_modules/torch/_jit_internal.html @@ -280,7 +280,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
diff --git a/main/_modules/torch/_lobpcg.html b/main/_modules/torch/_lobpcg.html index 71e4878c1f..127337d0f1 100644 --- a/main/_modules/torch/_lobpcg.html +++ b/main/_modules/torch/_lobpcg.html @@ -280,7 +280,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
diff --git a/main/_modules/torch/_logging/_internal.html b/main/_modules/torch/_logging/_internal.html index d1fae77846..23d8899351 100644 --- a/main/_modules/torch/_logging/_internal.html +++ b/main/_modules/torch/_logging/_internal.html @@ -280,7 +280,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
@@ -1514,8 +1514,13 @@

Source code for torch._logging._internal

 
                 import torch.version as torch_version
 
-                if hasattr(torch_version, "git_version"):
-                    log.info("LazyTraceHandler: disabled because not fbcode")
+                if (
+                    hasattr(torch_version, "git_version")
+                    and os.getenv("MAST_HPC_JOB_NAME") is None
+                ):
+                    log.info(
+                        "LazyTraceHandler: disabled because not fbcode or conda on mast"
+                    )
                 elif not torch._utils_internal.justknobs_check("pytorch/trace:enable"):
                     log.info(
                         "LazyTraceHandler: disabled because justknobs_check('pytorch/trace:enable') returned False"
diff --git a/main/_modules/torch/_lowrank.html b/main/_modules/torch/_lowrank.html
index a942aa7403..90d42b2af4 100644
--- a/main/_modules/torch/_lowrank.html
+++ b/main/_modules/torch/_lowrank.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/_tensor.html b/main/_modules/torch/_tensor.html
index 9c2197647f..683f6abd62 100644
--- a/main/_modules/torch/_tensor.html
+++ b/main/_modules/torch/_tensor.html
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index c33ed1ff1e..e11a2f2b2e 100644
--- a/main/_modules/torch/_tensor_str.html
+++ b/main/_modules/torch/_tensor_str.html
@@ -280,7 +280,7 @@
           

             
     

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index cce34d2c16..df55df5d71 100644
--- a/main/_modules/torch/amp/autocast_mode.html
+++ b/main/_modules/torch/amp/autocast_mode.html
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index bc5eb19a3b..ea416c4228 100644
--- a/main/_modules/torch/ao/nn/intrinsic/modules/fused.html
+++ b/main/_modules/torch/ao/nn/intrinsic/modules/fused.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html b/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html
index 57df8092a3..60934c0611 100644
--- a/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html
+++ b/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html b/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html
index 015f193a12..8659254414 100644
--- a/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html
+++ b/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html b/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html
index ea34c7b980..c6022cd098 100644
--- a/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html
+++ b/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html b/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html
index 7a1d5fa58a..3978758a00 100644
--- a/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html
+++ b/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html b/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html
index 0b07a584e6..c81772a629 100644
--- a/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html
+++ b/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html b/main/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html
index a7ae7f1ebd..91ca076c1d 100644
--- a/main/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html
+++ b/main/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html
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index 93ef07ac35..4680881dd6 100644
--- a/main/_modules/torch/ao/nn/qat/dynamic/modules/linear.html
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index 57802de361..f1ac4fce8d 100644
--- a/main/_modules/torch/ao/nn/qat/modules/conv.html
+++ b/main/_modules/torch/ao/nn/qat/modules/conv.html
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diff --git a/main/_modules/torch/ao/nn/qat/modules/linear.html b/main/_modules/torch/ao/nn/qat/modules/linear.html
index acb55acd42..470c36e24c 100644
--- a/main/_modules/torch/ao/nn/qat/modules/linear.html
+++ b/main/_modules/torch/ao/nn/qat/modules/linear.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/nn/quantizable/modules/activation.html b/main/_modules/torch/ao/nn/quantizable/modules/activation.html
index f4ee385215..999cb9c48f 100644
--- a/main/_modules/torch/ao/nn/quantizable/modules/activation.html
+++ b/main/_modules/torch/ao/nn/quantizable/modules/activation.html
@@ -280,7 +280,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/quantizable/modules/rnn.html b/main/_modules/torch/ao/nn/quantizable/modules/rnn.html
index 99446a7e5c..3943155b32 100644
--- a/main/_modules/torch/ao/nn/quantizable/modules/rnn.html
+++ b/main/_modules/torch/ao/nn/quantizable/modules/rnn.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html b/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html
index 7809d4c2a4..dc858de864 100644
--- a/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html
+++ b/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/nn/quantized/dynamic/modules/rnn.html b/main/_modules/torch/ao/nn/quantized/dynamic/modules/rnn.html
index 8f0d3c317d..56bb716e45 100644
--- a/main/_modules/torch/ao/nn/quantized/dynamic/modules/rnn.html
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diff --git a/main/_modules/torch/ao/nn/quantized/functional.html b/main/_modules/torch/ao/nn/quantized/functional.html
index 9054b215e2..7f57d47a20 100644
--- a/main/_modules/torch/ao/nn/quantized/functional.html
+++ b/main/_modules/torch/ao/nn/quantized/functional.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/quantized/modules/activation.html b/main/_modules/torch/ao/nn/quantized/modules/activation.html
index 5e2742c4fb..b19fc14f7a 100644
--- a/main/_modules/torch/ao/nn/quantized/modules/activation.html
+++ b/main/_modules/torch/ao/nn/quantized/modules/activation.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/nn/quantized/modules/batchnorm.html b/main/_modules/torch/ao/nn/quantized/modules/batchnorm.html
index 1bf698ea0c..d5d7a76f7c 100644
--- a/main/_modules/torch/ao/nn/quantized/modules/batchnorm.html
+++ b/main/_modules/torch/ao/nn/quantized/modules/batchnorm.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/nn/quantized/modules/conv.html b/main/_modules/torch/ao/nn/quantized/modules/conv.html
index e7cafd1af5..b2152c16ca 100644
--- a/main/_modules/torch/ao/nn/quantized/modules/conv.html
+++ b/main/_modules/torch/ao/nn/quantized/modules/conv.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/quantized/modules/embedding_ops.html b/main/_modules/torch/ao/nn/quantized/modules/embedding_ops.html
index 5b8cbd4e6d..968946c605 100644
--- a/main/_modules/torch/ao/nn/quantized/modules/embedding_ops.html
+++ b/main/_modules/torch/ao/nn/quantized/modules/embedding_ops.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/nn/quantized/modules/functional_modules.html b/main/_modules/torch/ao/nn/quantized/modules/functional_modules.html
index 705ee064c0..1b7c3fe979 100644
--- a/main/_modules/torch/ao/nn/quantized/modules/functional_modules.html
+++ b/main/_modules/torch/ao/nn/quantized/modules/functional_modules.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/nn/quantized/modules/linear.html b/main/_modules/torch/ao/nn/quantized/modules/linear.html
index 28eb96495a..c6223b4145 100644
--- a/main/_modules/torch/ao/nn/quantized/modules/linear.html
+++ b/main/_modules/torch/ao/nn/quantized/modules/linear.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/nn/quantized/modules/normalization.html b/main/_modules/torch/ao/nn/quantized/modules/normalization.html
index 59c430f05d..049d058240 100644
--- a/main/_modules/torch/ao/nn/quantized/modules/normalization.html
+++ b/main/_modules/torch/ao/nn/quantized/modules/normalization.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/ns/_numeric_suite.html b/main/_modules/torch/ao/ns/_numeric_suite.html
index 652a5c71e6..c56bea77a7 100644
--- a/main/_modules/torch/ao/ns/_numeric_suite.html
+++ b/main/_modules/torch/ao/ns/_numeric_suite.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/ns/_numeric_suite_fx.html b/main/_modules/torch/ao/ns/_numeric_suite_fx.html
index 33b63a0559..4549a24769 100644
--- a/main/_modules/torch/ao/ns/_numeric_suite_fx.html
+++ b/main/_modules/torch/ao/ns/_numeric_suite_fx.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/_modules/torch/ao/ns/fx/utils.html b/main/_modules/torch/ao/ns/fx/utils.html
index 3f0d799d14..29052aaeb8 100644
--- a/main/_modules/torch/ao/ns/fx/utils.html
+++ b/main/_modules/torch/ao/ns/fx/utils.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_modules/torch/ao/quantization.html b/main/_modules/torch/ao/quantization.html
index 01d6a7dc86..44a6ae1b05 100644
--- a/main/_modules/torch/ao/quantization.html
+++ b/main/_modules/torch/ao/quantization.html
@@ -280,7 +280,7 @@
           

             
     

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+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
@@ -542,6 +542,7 @@ 
Source code for torch.ao.quantization
 from .pt2e.export_utils import _move_exported_model_to_train as move_exported_model_to_train
 from .pt2e.export_utils import _allow_exported_model_train_eval as allow_exported_model_train_eval
 from .pt2e.generate_numeric_debug_handle import generate_numeric_debug_handle  # noqa: F401
+from .pt2e.generate_numeric_debug_handle import NUMERIC_DEBUG_HANDLE_KEY  # noqa: F401
 from typing import Union, List, Callable, Tuple, Optional
 from torch import Tensor
 import torch
@@ -670,6 +671,7 @@ 
Source code for torch.ao.quantization
     "swap_module",
     "weight_observer_range_neg_127_to_127",
     "generate_numeric_debug_handle",
+    "NUMERIC_DEBUG_HANDLE_KEY",
 ]
 
 
[docs]def default_eval_fn(model, calib_data):
diff --git a/main/_modules/torch/ao/quantization/backend_config/backend_config.html b/main/_modules/torch/ao/quantization/backend_config/backend_config.html
index d1c13882ee..3178e16b92 100644
--- a/main/_modules/torch/ao/quantization/backend_config/backend_config.html
+++ b/main/_modules/torch/ao/quantization/backend_config/backend_config.html
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diff --git a/main/_modules/torch/ao/quantization/fake_quantize.html b/main/_modules/torch/ao/quantization/fake_quantize.html
index f5f1298aa9..7f2b06ee61 100644
--- a/main/_modules/torch/ao/quantization/fake_quantize.html
+++ b/main/_modules/torch/ao/quantization/fake_quantize.html
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index ec56987b26..7b30f1d052 100644
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diff --git a/main/_modules/torch/ao/quantization/fx/custom_config.html b/main/_modules/torch/ao/quantization/fx/custom_config.html
index 447a497e1e..c46b31c7bc 100644
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index 0e85d85e33..bf13201bf1 100644
--- a/main/_modules/torch/distributions/utils.html
+++ b/main/_modules/torch/distributions/utils.html
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index 6fdd9a8230..636f92b331 100644
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index 189b92a8af..2223a73497 100644
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index 676f448263..5a1079be17 100644
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index 8e60be1bde..e52794169c 100644
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index caf8a551ab..c06355be2f 100644
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index c22739e95e..2f48204af1 100644
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index 70fc1f93d0..1ee4c96b6b 100644
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index adcf978549..553bd81864 100644
--- a/main/_modules/torch/fx/_symbolic_trace.html
+++ b/main/_modules/torch/fx/_symbolic_trace.html
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diff --git a/main/_modules/torch/fx/experimental/symbolic_shapes.html b/main/_modules/torch/fx/experimental/symbolic_shapes.html
index 3a2234e01d..5ca0545aad 100644
--- a/main/_modules/torch/fx/experimental/symbolic_shapes.html
+++ b/main/_modules/torch/fx/experimental/symbolic_shapes.html
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@@ -2000,7 +2000,8 @@ 
Source code for torch.fx.experimental.symbolic_shapes
# Used for printing SymExprs in compile_fx
 class SymExprPrinter(StrPrinter):
-    pass
+    def _print_Float(self, expr):
+        return str(float(expr))
 
 
 class ShapeGuardPrinter(SymExprPrinter):
@@ -2976,7 +2977,7 @@ 
Source code for torch.fx.experimental.symbolic_shapes
specialize_zero_one=True,
         # When True, assume input sizes which have the same size are
         # symbolically equal.
-        duck_shape=True,
+        duck_shape: Optional[bool] = None,
         # For debugging
         co_fields=None,
         # When True, whenever safe, we will generate a deferred runtime assert
@@ -2994,6 +2995,9 @@ 
Source code for torch.fx.experimental.symbolic_shapes
# XXX Add any new settings that could affect FakeTensor evaluation
         # to: torch._subclasses.fake_tensor._ShapeEnvSettings
     ):
+        if duck_shape is None:
+            duck_shape = config.use_duck_shape
+
         self.settings = ShapeEnvSettings(
             # Not directly used by ShapeEnv; indirectly used by FakeTensor
             allow_scalar_outputs=allow_scalar_outputs,
@@ -5262,6 +5266,10 @@ 
Source code for torch.fx.experimental.symbolic_shapes
self.var_to_range[symbol] = new
                 self.log.debug("_update_var_to_range %s = %s (update)", symbol, new)
 
+        if (v := self.var_to_val.get(symbol)) is not None:
+            r = self.var_to_range[symbol]
+            assert v in r, f"{v} not in {r}"
+
     def _set_replacement(self, a: "sympy.Symbol", tgt: "sympy.Expr", msg: str) -> None:
         """
         Adds or updates a replacement for a symbol.
@@ -5639,10 +5647,21 @@ 
Source code for torch.fx.experimental.symbolic_shapes
stack_info=is_debug,
             )
 
-
[docs]    @lru_cache(256)
+    @lru_cache(256)
     @record_shapeenv_event(save_tracked_fakes=True)
     def evaluate_expr(self, orig_expr: "sympy.Expr", hint=None, fx_node=None,
                       expect_rational=True, size_oblivious: bool = False, *, forcing_spec: bool = False):
+        try:
+            return self._evaluate_expr(orig_expr, hint, fx_node, expect_rational, size_oblivious, forcing_spec=forcing_spec)
+        except Exception:
+            self.log.warning(
+                "failed during evaluate_expr(%s, hint=%s, expect_rational=%s, size_oblivious=%s, forcing_spec=%s",
+                orig_expr, hint, expect_rational, size_oblivious, forcing_spec
+            )
+            raise
+
+    def _evaluate_expr(self, orig_expr: "sympy.Expr", hint=None, fx_node=None,
+                       expect_rational=True, size_oblivious: bool = False, *, forcing_spec: bool = False):
         """
         Given an expression, evaluates it, adding guards if necessary
         """
@@ -5837,7 +5856,7 @@ 
Source code for torch.fx.experimental.symbolic_shapes
else:
                 self._log_guard("eval [guard suppressed]", g, forcing_spec=forcing_spec)
 
-        return concrete_val

+        return concrete_val
 
 
[docs]    def cleanup(self):
         """
diff --git a/main/_modules/torch/fx/graph.html b/main/_modules/torch/fx/graph.html
index 227196ed86..ba5036cb4c 100644
--- a/main/_modules/torch/fx/graph.html
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index 413022eed8..d3fefe9cfd 100644
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index 56a2e7c93c..609265f601 100644
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index ca31cc5d20..3fd0a8e657 100644
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index 8f661d768a..8d225424eb 100644
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index f4b0e25c81..bdf746efa5 100644
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index 418fdf964b..a758817652 100644
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index 5ec82f39b2..01e4693800 100644
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index c23ad9d2c1..e11764aa1b 100644
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index ebbe3ad307..7043ca7820 100644
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index 3f53c097f1..88b698c3d2 100644
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index 6c5eb64c2f..06e165e58f 100644
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index ebfde109ac..db4a296441 100644
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index 57770b4fa4..3ba9c3de98 100644
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index f3bd772283..630052f1b1 100644
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index f16b45418b..e7a1fadff0 100644
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index 5bcd1f1a55..519fb64d1c 100644
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diff --git a/main/_modules/typing.html b/main/_modules/typing.html
index 481680ef79..28490c4705 100644
--- a/main/_modules/typing.html
+++ b/main/_modules/typing.html
@@ -280,7 +280,7 @@
           

             
     

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diff --git a/main/_sources/generated/exportdb/index.rst.txt b/main/_sources/generated/exportdb/index.rst.txt
index 0592446919..77ed2af021 100644
--- a/main/_sources/generated/exportdb/index.rst.txt
+++ b/main/_sources/generated/exportdb/index.rst.txt
@@ -19,8 +19,8 @@ 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
     torch.dynamic-value
     python.data-structure
@@ -67,11 +67,13 @@ Original source code:
         def forward(self, x, y):
             return x[: self.get_item(y)]
     
-    example_inputs = (torch.randn(3, 2), torch.tensor(4))
+    example_args = (torch.randn(3, 2), torch.tensor(4))
     tags = {"torch.escape-hatch"}
     model = AssumeConstantResult()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -122,10 +124,12 @@ Original source code:
         def forward(self, x):
             return MyAutogradFunction.apply(x)
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     model = AutogradFunction()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -175,10 +179,12 @@ Original source code:
             x = self.linear(x)
             return self.method(x) * self.__class__.method(x) * type(self).method(x)
     
-    example_inputs = (torch.randn(3, 4),)
+    example_args = (torch.randn(3, 4),)
     model = ClassMethod()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -213,7 +219,7 @@ cond_branch_class_method
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -259,7 +265,7 @@ Original source code:
         def forward(self, x):
             return cond(x.shape[0] <= 2, self.subm.forward, self.bar, [x])
     
-    example_inputs = (torch.randn(3),)
+    example_args = (torch.randn(3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -267,6 +273,8 @@ Original source code:
     model = CondBranchClassMethod()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -301,7 +309,7 @@ cond_branch_nested_function
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -344,7 +352,7 @@ Original source code:
     
             return cond(x.shape[0] < 10, true_fn, false_fn, [x])
     
-    example_inputs = (torch.randn(3),)
+    example_args = (torch.randn(3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -352,6 +360,8 @@ Original source code:
     model = CondBranchNestedFunction()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -386,7 +396,7 @@ cond_branch_nonlocal_variables
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -447,7 +457,7 @@ Original source code:
                 [x, my_tensor_var, torch.tensor(my_primitive_var)],
             )
     
-    example_inputs = (torch.randn(6),)
+    example_args = (torch.randn(6),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -455,6 +465,8 @@ Original source code:
     model = CondBranchNonlocalVariables()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -525,11 +537,13 @@ Original source code:
     
             return cond(pred, true_fn, false_fn, [x + 1])
     
-    example_inputs = (torch.tensor(True), torch.randn(3, 2))
+    example_args = (torch.tensor(True), torch.randn(3, 2))
     tags = {"torch.cond", "python.closure"}
     model = CondClosedOverVariable()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -564,7 +578,7 @@ cond_operands
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -600,7 +614,7 @@ Original source code:
     
             return cond(x.shape[0] > 2, true_fn, false_fn, [x, y])
     
-    example_inputs = (x, y)
+    example_args = (x, y)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -610,6 +624,8 @@ Original source code:
     model = CondOperands()
     
 
+    torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)
+
 Result:
 
 .. code-block::
@@ -646,7 +662,7 @@ cond_predicate
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -673,7 +689,7 @@ Original source code:
     
             return cond(pred, lambda x: x.cos(), lambda y: y.sin(), [x])
     
-    example_inputs = (torch.randn(6, 4, 3),)
+    example_args = (torch.randn(6, 4, 3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -681,6 +697,8 @@ Original source code:
     model = CondPredicate()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -715,7 +733,7 @@ constrain_as_size_example
 
 .. note::
 
-    Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value `
+    Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch `
 
     Support Level: SUPPORTED
 
@@ -742,7 +760,7 @@ Original source code:
             return torch.zeros((a, 5))
     
     
-    example_inputs = (torch.tensor(4),)
+    example_args = (torch.tensor(4),)
     tags = {
         "torch.dynamic-value",
         "torch.escape-hatch",
@@ -750,6 +768,8 @@ Original source code:
     model = ConstrainAsSizeExample()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -784,7 +804,7 @@ constrain_as_value_example
 
 .. note::
 
-    Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value `
+    Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch `
 
     Support Level: SUPPORTED
 
@@ -814,7 +834,7 @@ Original source code:
             return y.cos()
     
     
-    example_inputs = (torch.tensor(4), torch.randn(5, 5))
+    example_args = (torch.tensor(4), torch.randn(5, 5))
     tags = {
         "torch.dynamic-value",
         "torch.escape-hatch",
@@ -822,6 +842,8 @@ Original source code:
     model = ConstrainAsValueExample()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -882,10 +904,12 @@ Original source code:
         def forward(self, x, y):
             return x + y
     
-    example_inputs = (torch.randn(3, 2), torch.randn(3, 2))
+    example_args = (torch.randn(3, 2), torch.randn(3, 2))
     model = Decorator()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -932,11 +956,13 @@ Original source code:
             y = y * elements["x2"]
             return {"y": y}
     
-    example_inputs = (torch.randn(3, 2), torch.tensor(4))
+    example_args = (torch.randn(3, 2), torch.tensor(4))
     tags = {"python.data-structure"}
     model = Dictionary()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -984,11 +1010,13 @@ Original source code:
             assert x.shape[0] > 1
             return x
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"python.assert"}
     model = DynamicShapeAssert()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1028,11 +1056,13 @@ Original source code:
         def forward(self, x):
             return torch.zeros(x.shape[0] * 2)
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.dynamic-shape"}
     model = DynamicShapeConstructor()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1078,11 +1108,13 @@ Original source code:
     
             return x.sin()
     
-    example_inputs = (torch.randn(3, 2, 2),)
+    example_args = (torch.randn(3, 2, 2),)
     tags = {"torch.dynamic-shape", "python.control-flow"}
     model = DynamicShapeIfGuard()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1104,7 +1136,7 @@ dynamic_shape_map
 
 .. note::
 
-    Tags: :doc:`torch.map `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.map `
 
     Support Level: SUPPORTED
 
@@ -1128,11 +1160,13 @@ Original source code:
     
             return map(body, xs, y)
     
-    example_inputs = (torch.randn(3, 2), torch.randn(2))
+    example_args = (torch.randn(3, 2), torch.randn(2))
     tags = {"torch.dynamic-shape", "torch.map"}
     model = DynamicShapeMap()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1181,11 +1215,13 @@ Original source code:
         def forward(self, x):
             return x[: x.shape[0] - 2, x.shape[1] - 1 :: 2]
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.dynamic-shape"}
     model = DynamicShapeSlicing()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1230,11 +1266,13 @@ Original source code:
             x = x.view(*new_x_shape)
             return x.permute(0, 2, 1)
     
-    example_inputs = (torch.randn(10, 10),)
+    example_args = (torch.randn(10, 10),)
     tags = {"torch.dynamic-shape"}
     model = DynamicShapeView()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1270,8 +1308,6 @@ Original source code:
     # mypy: allow-untyped-defs
     import torch
     
-    from torch._export.db.case import ExportArgs
-    
     class FnWithKwargs(torch.nn.Module):
         """
         Keyword arguments are not supported at the moment.
@@ -1287,17 +1323,22 @@ Original source code:
             out = out * mykwargs["input0"] * mykwargs["input1"]
             return out
     
-    example_inputs = ExportArgs(
+    example_args = (
         torch.randn(4),
         (torch.randn(4), torch.randn(4)),
-        *[torch.randn(4), torch.randn(4)],
-        mykw0=torch.randn(4),
-        input0=torch.randn(4), input1=torch.randn(4)
+        *[torch.randn(4), torch.randn(4)]
     )
+    example_kwargs = {
+        "mykw0": torch.randn(4),
+        "input0": torch.randn(4),
+        "input1": torch.randn(4),
+    }
     tags = {"python.data-structure"}
     model = FnWithKwargs()
     
 
+    torch.export.export(model, example_args, example_kwargs)
+
 Result:
 
 .. code-block::
@@ -1305,18 +1346,18 @@ Result:
     ExportedProgram:
         class GraphModule(torch.nn.Module):
             def forward(self, pos0: "f32[4]", tuple0_0: "f32[4]", tuple0_1: "f32[4]", myargs_0: "f32[4]", myargs_1: "f32[4]", mykw0: "f32[4]", input0: "f32[4]", input1: "f32[4]"):
-                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:14 in forward, code: out = out * arg
+                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:12 in forward, code: out = out * arg
                 mul: "f32[4]" = torch.ops.aten.mul.Tensor(pos0, tuple0_0);  pos0 = tuple0_0 = None
                 mul_1: "f32[4]" = torch.ops.aten.mul.Tensor(mul, tuple0_1);  mul = tuple0_1 = None
                 
-                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:16 in forward, code: out = out * arg
+                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:14 in forward, code: out = out * arg
                 mul_2: "f32[4]" = torch.ops.aten.mul.Tensor(mul_1, myargs_0);  mul_1 = myargs_0 = None
                 mul_3: "f32[4]" = torch.ops.aten.mul.Tensor(mul_2, myargs_1);  mul_2 = myargs_1 = None
                 
-                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:17 in forward, code: out = out * mykw0
+                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:15 in forward, code: out = out * mykw0
                 mul_4: "f32[4]" = torch.ops.aten.mul.Tensor(mul_3, mykw0);  mul_3 = mykw0 = None
                 
-                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:18 in forward, code: out = out * mykwargs["input0"] * mykwargs["input1"]
+                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:16 in forward, code: out = out * mykwargs["input0"] * mykwargs["input1"]
                 mul_5: "f32[4]" = torch.ops.aten.mul.Tensor(mul_4, input0);  mul_4 = input0 = None
                 mul_6: "f32[4]" = torch.ops.aten.mul.Tensor(mul_5, input1);  mul_5 = input1 = None
                 return (mul_6,)
@@ -1331,7 +1372,7 @@ list_contains
 
 .. note::
 
-    Tags: :doc:`python.assert `, :doc:`python.data-structure `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.data-structure `, :doc:`python.assert `
 
     Support Level: SUPPORTED
 
@@ -1353,11 +1394,13 @@ Original source code:
             assert "monkey" not in ["cow", "pig"]
             return x + x
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.dynamic-shape", "python.data-structure", "python.assert"}
     model = ListContains()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1406,11 +1449,13 @@ Original source code:
             x, *y = args
             return x + y[0]
     
-    example_inputs = ([torch.randn(3, 2), torch.tensor(4), torch.tensor(5)],)
+    example_args = ([torch.randn(3, 2), torch.tensor(4), torch.tensor(5)],)
     tags = {"python.control-flow", "python.data-structure"}
     model = ListUnpack()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1460,11 +1505,13 @@ Original source code:
     
             return closure(x)
     
-    example_inputs = (torch.randn(3, 2), torch.randn(2))
+    example_args = (torch.randn(3, 2), torch.randn(2))
     tags = {"python.closure"}
     model = NestedFunction()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1522,11 +1569,13 @@ Original source code:
             with ctx:
                 return x.sin() + x.cos()
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"python.context-manager"}
     model = NullContextManager()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1572,10 +1621,12 @@ Original source code:
             y, spec = pytree.tree_flatten(x)
             return y[0] + 1
     
-    example_inputs = ({1: torch.randn(3, 2), 2: torch.randn(3, 2)},),
+    example_args = ({1: torch.randn(3, 2), 2: torch.randn(3, 2)},),
     model = PytreeFlatten()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1624,12 +1675,14 @@ Original source code:
         def forward(self, x):
             return x.shape[1] + 1
     
-    example_inputs = (x,)
+    example_args = (x,)
     tags = {"torch.dynamic-shape"}
     dynamic_shapes = {"x": {1: dim1_x}}
     model = ScalarOutput()
     
 
+    torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)
+
 Result:
 
 .. code-block::
@@ -1684,10 +1737,12 @@ Original source code:
             else:
                 raise ValueError("bad")
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     model = SpecializedAttribute()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1732,11 +1787,13 @@ Original source code:
                 ret.append(i + x)
             return ret
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"python.control-flow"}
     model = StaticForLoop()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1790,11 +1847,13 @@ Original source code:
     
             return x
     
-    example_inputs = (torch.randn(3, 2, 2),)
+    example_args = (torch.randn(3, 2, 2),)
     tags = {"python.control-flow"}
     model = StaticIf()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1837,11 +1896,13 @@ Original source code:
             setattr(x, attr, torch.randn(3, 2))
             return x + 4
     
-    example_inputs = (torch.randn(3, 2), "attr")
+    example_args = (torch.randn(3, 2), "attr")
     tags = {"python.builtin"}
     model = TensorSetattr()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1890,11 +1951,13 @@ Original source code:
             return type(a).func(x)
     
     
-    example_inputs = (torch.randn(3, 4),)
+    example_args = (torch.randn(3, 4),)
     tags = {"python.builtin"}
     model = TypeReflectionMethod()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1938,11 +2001,13 @@ Original source code:
             return x.cos()
     
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.mutation"}
     model = UserInputMutation()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -1970,7 +2035,7 @@ dynamic_shape_round
 
 .. note::
 
-    Tags: :doc:`torch.dynamic-shape `, :doc:`python.builtin `
+    Tags: :doc:`python.builtin `, :doc:`torch.dynamic-shape `
 
     Support Level: NOT_SUPPORTED_YET
 
@@ -1994,13 +2059,15 @@ Original source code:
     
     x = torch.randn(3, 2)
     dim0_x = Dim("dim0_x")
-    example_inputs = (x,)
+    example_args = (x,)
     tags = {"torch.dynamic-shape", "python.builtin"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     dynamic_shapes = {"x": {0: dim0_x}}
     model = DynamicShapeRound()
     
 
+    torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)
+
 Result:
 
 .. code-block::
@@ -2044,12 +2111,14 @@ Original source code:
             return x.sum() + self.attr_list[0].sum()
     
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"python.object-model"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     model = ModelAttrMutation()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -2087,12 +2156,14 @@ Original source code:
             return x
     
     
-    example_inputs = (torch.randn(2, 3),)
+    example_args = (torch.randn(2, 3),)
     tags = {"python.object-model"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     model = OptionalInput()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -2128,16 +2199,18 @@ Original source code:
             return x.sum() + torch.sym_min(x.size(0), 100)
     
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.operator"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     model = TorchSymMin()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
 
-    Unsupported: torch.* op returned non-Tensor int call_function 
+    Unsupported: torch.* op returned non-Tensor int call_function 
 
 
diff --git a/main/_sources/generated/exportdb/python.assert.rst.txt b/main/_sources/generated/exportdb/python.assert.rst.txt
index d9a0bd195b..403a74f6f5 100644
--- a/main/_sources/generated/exportdb/python.assert.rst.txt
+++ b/main/_sources/generated/exportdb/python.assert.rst.txt
@@ -28,11 +28,13 @@ Original source code:
             assert x.shape[0] > 1
             return x
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"python.assert"}
     model = DynamicShapeAssert()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -52,7 +54,7 @@ list_contains
 
 .. note::
 
-    Tags: :doc:`python.assert `, :doc:`python.data-structure `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.data-structure `, :doc:`python.assert `
 
     Support Level: SUPPORTED
 
@@ -74,11 +76,13 @@ Original source code:
             assert "monkey" not in ["cow", "pig"]
             return x + x
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.dynamic-shape", "python.data-structure", "python.assert"}
     model = ListContains()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/python.builtin.rst.txt b/main/_sources/generated/exportdb/python.builtin.rst.txt
index 43a14c596b..a3bf151fed 100644
--- a/main/_sources/generated/exportdb/python.builtin.rst.txt
+++ b/main/_sources/generated/exportdb/python.builtin.rst.txt
@@ -5,7 +5,7 @@ dynamic_shape_round
 
 .. note::
 
-    Tags: :doc:`torch.dynamic-shape `, :doc:`python.builtin `
+    Tags: :doc:`python.builtin `, :doc:`torch.dynamic-shape `
 
     Support Level: NOT_SUPPORTED_YET
 
@@ -29,13 +29,15 @@ Original source code:
     
     x = torch.randn(3, 2)
     dim0_x = Dim("dim0_x")
-    example_inputs = (x,)
+    example_args = (x,)
     tags = {"torch.dynamic-shape", "python.builtin"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     dynamic_shapes = {"x": {0: dim0_x}}
     model = DynamicShapeRound()
     
 
+    torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)
+
 Result:
 
 .. code-block::
@@ -68,11 +70,13 @@ Original source code:
             setattr(x, attr, torch.randn(3, 2))
             return x + 4
     
-    example_inputs = (torch.randn(3, 2), "attr")
+    example_args = (torch.randn(3, 2), "attr")
     tags = {"python.builtin"}
     model = TensorSetattr()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -121,11 +125,13 @@ Original source code:
             return type(a).func(x)
     
     
-    example_inputs = (torch.randn(3, 4),)
+    example_args = (torch.randn(3, 4),)
     tags = {"python.builtin"}
     model = TypeReflectionMethod()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/python.closure.rst.txt b/main/_sources/generated/exportdb/python.closure.rst.txt
index 26cc746421..a0b6799a5e 100644
--- a/main/_sources/generated/exportdb/python.closure.rst.txt
+++ b/main/_sources/generated/exportdb/python.closure.rst.txt
@@ -32,11 +32,13 @@ Original source code:
     
             return cond(pred, true_fn, false_fn, [x + 1])
     
-    example_inputs = (torch.tensor(True), torch.randn(3, 2))
+    example_args = (torch.tensor(True), torch.randn(3, 2))
     tags = {"torch.cond", "python.closure"}
     model = CondClosedOverVariable()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -99,11 +101,13 @@ Original source code:
     
             return closure(x)
     
-    example_inputs = (torch.randn(3, 2), torch.randn(2))
+    example_args = (torch.randn(3, 2), torch.randn(2))
     tags = {"python.closure"}
     model = NestedFunction()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/python.context-manager.rst.txt b/main/_sources/generated/exportdb/python.context-manager.rst.txt
index 8f3af0b8b1..914b4d16c1 100644
--- a/main/_sources/generated/exportdb/python.context-manager.rst.txt
+++ b/main/_sources/generated/exportdb/python.context-manager.rst.txt
@@ -31,11 +31,13 @@ Original source code:
             with ctx:
                 return x.sin() + x.cos()
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"python.context-manager"}
     model = NullContextManager()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/python.control-flow.rst.txt b/main/_sources/generated/exportdb/python.control-flow.rst.txt
index 2bb5098f06..8e1b37feba 100644
--- a/main/_sources/generated/exportdb/python.control-flow.rst.txt
+++ b/main/_sources/generated/exportdb/python.control-flow.rst.txt
@@ -29,11 +29,13 @@ Original source code:
     
             return x.sin()
     
-    example_inputs = (torch.randn(3, 2, 2),)
+    example_args = (torch.randn(3, 2, 2),)
     tags = {"torch.dynamic-shape", "python.control-flow"}
     model = DynamicShapeIfGuard()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -82,11 +84,13 @@ Original source code:
             x, *y = args
             return x + y[0]
     
-    example_inputs = ([torch.randn(3, 2), torch.tensor(4), torch.tensor(5)],)
+    example_args = ([torch.randn(3, 2), torch.tensor(4), torch.tensor(5)],)
     tags = {"python.control-flow", "python.data-structure"}
     model = ListUnpack()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -130,11 +134,13 @@ Original source code:
                 ret.append(i + x)
             return ret
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"python.control-flow"}
     model = StaticForLoop()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -188,11 +194,13 @@ Original source code:
     
             return x
     
-    example_inputs = (torch.randn(3, 2, 2),)
+    example_args = (torch.randn(3, 2, 2),)
     tags = {"python.control-flow"}
     model = StaticIf()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/python.data-structure.rst.txt b/main/_sources/generated/exportdb/python.data-structure.rst.txt
index a7c09a6ea4..c54923e4e8 100644
--- a/main/_sources/generated/exportdb/python.data-structure.rst.txt
+++ b/main/_sources/generated/exportdb/python.data-structure.rst.txt
@@ -27,11 +27,13 @@ Original source code:
             y = y * elements["x2"]
             return {"y": y}
     
-    example_inputs = (torch.randn(3, 2), torch.tensor(4))
+    example_args = (torch.randn(3, 2), torch.tensor(4))
     tags = {"python.data-structure"}
     model = Dictionary()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -67,8 +69,6 @@ Original source code:
     # mypy: allow-untyped-defs
     import torch
     
-    from torch._export.db.case import ExportArgs
-    
     class FnWithKwargs(torch.nn.Module):
         """
         Keyword arguments are not supported at the moment.
@@ -84,17 +84,22 @@ Original source code:
             out = out * mykwargs["input0"] * mykwargs["input1"]
             return out
     
-    example_inputs = ExportArgs(
+    example_args = (
         torch.randn(4),
         (torch.randn(4), torch.randn(4)),
-        *[torch.randn(4), torch.randn(4)],
-        mykw0=torch.randn(4),
-        input0=torch.randn(4), input1=torch.randn(4)
+        *[torch.randn(4), torch.randn(4)]
     )
+    example_kwargs = {
+        "mykw0": torch.randn(4),
+        "input0": torch.randn(4),
+        "input1": torch.randn(4),
+    }
     tags = {"python.data-structure"}
     model = FnWithKwargs()
     
 
+    torch.export.export(model, example_args, example_kwargs)
+
 Result:
 
 .. code-block::
@@ -102,18 +107,18 @@ Result:
     ExportedProgram:
         class GraphModule(torch.nn.Module):
             def forward(self, pos0: "f32[4]", tuple0_0: "f32[4]", tuple0_1: "f32[4]", myargs_0: "f32[4]", myargs_1: "f32[4]", mykw0: "f32[4]", input0: "f32[4]", input1: "f32[4]"):
-                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:14 in forward, code: out = out * arg
+                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:12 in forward, code: out = out * arg
                 mul: "f32[4]" = torch.ops.aten.mul.Tensor(pos0, tuple0_0);  pos0 = tuple0_0 = None
                 mul_1: "f32[4]" = torch.ops.aten.mul.Tensor(mul, tuple0_1);  mul = tuple0_1 = None
                 
-                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:16 in forward, code: out = out * arg
+                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:14 in forward, code: out = out * arg
                 mul_2: "f32[4]" = torch.ops.aten.mul.Tensor(mul_1, myargs_0);  mul_1 = myargs_0 = None
                 mul_3: "f32[4]" = torch.ops.aten.mul.Tensor(mul_2, myargs_1);  mul_2 = myargs_1 = None
                 
-                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:17 in forward, code: out = out * mykw0
+                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:15 in forward, code: out = out * mykw0
                 mul_4: "f32[4]" = torch.ops.aten.mul.Tensor(mul_3, mykw0);  mul_3 = mykw0 = None
                 
-                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:18 in forward, code: out = out * mykwargs["input0"] * mykwargs["input1"]
+                 # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:16 in forward, code: out = out * mykwargs["input0"] * mykwargs["input1"]
                 mul_5: "f32[4]" = torch.ops.aten.mul.Tensor(mul_4, input0);  mul_4 = input0 = None
                 mul_6: "f32[4]" = torch.ops.aten.mul.Tensor(mul_5, input1);  mul_5 = input1 = None
                 return (mul_6,)
@@ -128,7 +133,7 @@ list_contains
 
 .. note::
 
-    Tags: :doc:`python.assert `, :doc:`python.data-structure `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.data-structure `, :doc:`python.assert `
 
     Support Level: SUPPORTED
 
@@ -150,11 +155,13 @@ Original source code:
             assert "monkey" not in ["cow", "pig"]
             return x + x
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.dynamic-shape", "python.data-structure", "python.assert"}
     model = ListContains()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -203,11 +210,13 @@ Original source code:
             x, *y = args
             return x + y[0]
     
-    example_inputs = ([torch.randn(3, 2), torch.tensor(4), torch.tensor(5)],)
+    example_args = ([torch.randn(3, 2), torch.tensor(4), torch.tensor(5)],)
     tags = {"python.control-flow", "python.data-structure"}
     model = ListUnpack()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/python.object-model.rst.txt b/main/_sources/generated/exportdb/python.object-model.rst.txt
index cf86b19576..b0f3624c56 100644
--- a/main/_sources/generated/exportdb/python.object-model.rst.txt
+++ b/main/_sources/generated/exportdb/python.object-model.rst.txt
@@ -36,12 +36,14 @@ Original source code:
             return x.sum() + self.attr_list[0].sum()
     
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"python.object-model"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     model = ModelAttrMutation()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -79,12 +81,14 @@ Original source code:
             return x
     
     
-    example_inputs = (torch.randn(2, 3),)
+    example_args = (torch.randn(2, 3),)
     tags = {"python.object-model"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     model = OptionalInput()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/torch.cond.rst.txt b/main/_sources/generated/exportdb/torch.cond.rst.txt
index 406af6b439..d024584fc7 100644
--- a/main/_sources/generated/exportdb/torch.cond.rst.txt
+++ b/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
 
@@ -51,7 +51,7 @@ Original source code:
         def forward(self, x):
             return cond(x.shape[0] <= 2, self.subm.forward, self.bar, [x])
     
-    example_inputs = (torch.randn(3),)
+    example_args = (torch.randn(3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -59,6 +59,8 @@ Original source code:
     model = CondBranchClassMethod()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -93,7 +95,7 @@ cond_branch_nested_function
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -136,7 +138,7 @@ Original source code:
     
             return cond(x.shape[0] < 10, true_fn, false_fn, [x])
     
-    example_inputs = (torch.randn(3),)
+    example_args = (torch.randn(3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -144,6 +146,8 @@ Original source code:
     model = CondBranchNestedFunction()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -178,7 +182,7 @@ cond_branch_nonlocal_variables
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -239,7 +243,7 @@ Original source code:
                 [x, my_tensor_var, torch.tensor(my_primitive_var)],
             )
     
-    example_inputs = (torch.randn(6),)
+    example_args = (torch.randn(6),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -247,6 +251,8 @@ Original source code:
     model = CondBranchNonlocalVariables()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -317,11 +323,13 @@ Original source code:
     
             return cond(pred, true_fn, false_fn, [x + 1])
     
-    example_inputs = (torch.tensor(True), torch.randn(3, 2))
+    example_args = (torch.tensor(True), torch.randn(3, 2))
     tags = {"torch.cond", "python.closure"}
     model = CondClosedOverVariable()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -356,7 +364,7 @@ cond_operands
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -392,7 +400,7 @@ Original source code:
     
             return cond(x.shape[0] > 2, true_fn, false_fn, [x, y])
     
-    example_inputs = (x, y)
+    example_args = (x, y)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -402,6 +410,8 @@ Original source code:
     model = CondOperands()
     
 
+    torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)
+
 Result:
 
 .. code-block::
@@ -438,7 +448,7 @@ cond_predicate
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -465,7 +475,7 @@ Original source code:
     
             return cond(pred, lambda x: x.cos(), lambda y: y.sin(), [x])
     
-    example_inputs = (torch.randn(6, 4, 3),)
+    example_args = (torch.randn(6, 4, 3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -473,6 +483,8 @@ Original source code:
     model = CondPredicate()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/torch.dynamic-shape.rst.txt b/main/_sources/generated/exportdb/torch.dynamic-shape.rst.txt
index d369ecddf6..cdd8f9d14d 100644
--- a/main/_sources/generated/exportdb/torch.dynamic-shape.rst.txt
+++ b/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
 
@@ -51,7 +51,7 @@ Original source code:
         def forward(self, x):
             return cond(x.shape[0] <= 2, self.subm.forward, self.bar, [x])
     
-    example_inputs = (torch.randn(3),)
+    example_args = (torch.randn(3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -59,6 +59,8 @@ Original source code:
     model = CondBranchClassMethod()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -93,7 +95,7 @@ cond_branch_nested_function
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -136,7 +138,7 @@ Original source code:
     
             return cond(x.shape[0] < 10, true_fn, false_fn, [x])
     
-    example_inputs = (torch.randn(3),)
+    example_args = (torch.randn(3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -144,6 +146,8 @@ Original source code:
     model = CondBranchNestedFunction()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -178,7 +182,7 @@ cond_branch_nonlocal_variables
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -239,7 +243,7 @@ Original source code:
                 [x, my_tensor_var, torch.tensor(my_primitive_var)],
             )
     
-    example_inputs = (torch.randn(6),)
+    example_args = (torch.randn(6),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -247,6 +251,8 @@ Original source code:
     model = CondBranchNonlocalVariables()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -290,7 +296,7 @@ cond_operands
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -326,7 +332,7 @@ Original source code:
     
             return cond(x.shape[0] > 2, true_fn, false_fn, [x, y])
     
-    example_inputs = (x, y)
+    example_args = (x, y)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -336,6 +342,8 @@ Original source code:
     model = CondOperands()
     
 
+    torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)
+
 Result:
 
 .. code-block::
@@ -372,7 +380,7 @@ cond_predicate
 
 .. note::
 
-    Tags: :doc:`torch.cond `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.cond `
 
     Support Level: SUPPORTED
 
@@ -399,7 +407,7 @@ Original source code:
     
             return cond(pred, lambda x: x.cos(), lambda y: y.sin(), [x])
     
-    example_inputs = (torch.randn(6, 4, 3),)
+    example_args = (torch.randn(6, 4, 3),)
     tags = {
         "torch.cond",
         "torch.dynamic-shape",
@@ -407,6 +415,8 @@ Original source code:
     model = CondPredicate()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -461,11 +471,13 @@ Original source code:
         def forward(self, x):
             return torch.zeros(x.shape[0] * 2)
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.dynamic-shape"}
     model = DynamicShapeConstructor()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -511,11 +523,13 @@ Original source code:
     
             return x.sin()
     
-    example_inputs = (torch.randn(3, 2, 2),)
+    example_args = (torch.randn(3, 2, 2),)
     tags = {"torch.dynamic-shape", "python.control-flow"}
     model = DynamicShapeIfGuard()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -537,7 +551,7 @@ dynamic_shape_map
 
 .. note::
 
-    Tags: :doc:`torch.map `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`torch.map `
 
     Support Level: SUPPORTED
 
@@ -561,11 +575,13 @@ Original source code:
     
             return map(body, xs, y)
     
-    example_inputs = (torch.randn(3, 2), torch.randn(2))
+    example_args = (torch.randn(3, 2), torch.randn(2))
     tags = {"torch.dynamic-shape", "torch.map"}
     model = DynamicShapeMap()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -594,7 +610,7 @@ dynamic_shape_round
 
 .. note::
 
-    Tags: :doc:`torch.dynamic-shape `, :doc:`python.builtin `
+    Tags: :doc:`python.builtin `, :doc:`torch.dynamic-shape `
 
     Support Level: NOT_SUPPORTED_YET
 
@@ -618,13 +634,15 @@ Original source code:
     
     x = torch.randn(3, 2)
     dim0_x = Dim("dim0_x")
-    example_inputs = (x,)
+    example_args = (x,)
     tags = {"torch.dynamic-shape", "python.builtin"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     dynamic_shapes = {"x": {0: dim0_x}}
     model = DynamicShapeRound()
     
 
+    torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)
+
 Result:
 
 .. code-block::
@@ -657,11 +675,13 @@ Original source code:
         def forward(self, x):
             return x[: x.shape[0] - 2, x.shape[1] - 1 :: 2]
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.dynamic-shape"}
     model = DynamicShapeSlicing()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -706,11 +726,13 @@ Original source code:
             x = x.view(*new_x_shape)
             return x.permute(0, 2, 1)
     
-    example_inputs = (torch.randn(10, 10),)
+    example_args = (torch.randn(10, 10),)
     tags = {"torch.dynamic-shape"}
     model = DynamicShapeView()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -735,7 +757,7 @@ list_contains
 
 .. note::
 
-    Tags: :doc:`python.assert `, :doc:`python.data-structure `, :doc:`torch.dynamic-shape `
+    Tags: :doc:`torch.dynamic-shape `, :doc:`python.data-structure `, :doc:`python.assert `
 
     Support Level: SUPPORTED
 
@@ -757,11 +779,13 @@ Original source code:
             assert "monkey" not in ["cow", "pig"]
             return x + x
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.dynamic-shape", "python.data-structure", "python.assert"}
     model = ListContains()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -810,12 +834,14 @@ Original source code:
         def forward(self, x):
             return x.shape[1] + 1
     
-    example_inputs = (x,)
+    example_args = (x,)
     tags = {"torch.dynamic-shape"}
     dynamic_shapes = {"x": {1: dim1_x}}
     model = ScalarOutput()
     
 
+    torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/torch.dynamic-value.rst.txt b/main/_sources/generated/exportdb/torch.dynamic-value.rst.txt
index c4df1eb7d3..fa643c19ad 100644
--- a/main/_sources/generated/exportdb/torch.dynamic-value.rst.txt
+++ b/main/_sources/generated/exportdb/torch.dynamic-value.rst.txt
@@ -5,7 +5,7 @@ constrain_as_size_example
 
 .. note::
 
-    Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value `
+    Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch `
 
     Support Level: SUPPORTED
 
@@ -32,7 +32,7 @@ Original source code:
             return torch.zeros((a, 5))
     
     
-    example_inputs = (torch.tensor(4),)
+    example_args = (torch.tensor(4),)
     tags = {
         "torch.dynamic-value",
         "torch.escape-hatch",
@@ -40,6 +40,8 @@ Original source code:
     model = ConstrainAsSizeExample()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -74,7 +76,7 @@ constrain_as_value_example
 
 .. note::
 
-    Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value `
+    Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch `
 
     Support Level: SUPPORTED
 
@@ -104,7 +106,7 @@ Original source code:
             return y.cos()
     
     
-    example_inputs = (torch.tensor(4), torch.randn(5, 5))
+    example_args = (torch.tensor(4), torch.randn(5, 5))
     tags = {
         "torch.dynamic-value",
         "torch.escape-hatch",
@@ -112,6 +114,8 @@ Original source code:
     model = ConstrainAsValueExample()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/torch.escape-hatch.rst.txt b/main/_sources/generated/exportdb/torch.escape-hatch.rst.txt
index a5ceae64bc..3d998f7d67 100644
--- a/main/_sources/generated/exportdb/torch.escape-hatch.rst.txt
+++ b/main/_sources/generated/exportdb/torch.escape-hatch.rst.txt
@@ -30,11 +30,13 @@ Original source code:
         def forward(self, x, y):
             return x[: self.get_item(y)]
     
-    example_inputs = (torch.randn(3, 2), torch.tensor(4))
+    example_args = (torch.randn(3, 2), torch.tensor(4))
     tags = {"torch.escape-hatch"}
     model = AssumeConstantResult()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -56,7 +58,7 @@ constrain_as_size_example
 
 .. note::
 
-    Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value `
+    Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch `
 
     Support Level: SUPPORTED
 
@@ -83,7 +85,7 @@ Original source code:
             return torch.zeros((a, 5))
     
     
-    example_inputs = (torch.tensor(4),)
+    example_args = (torch.tensor(4),)
     tags = {
         "torch.dynamic-value",
         "torch.escape-hatch",
@@ -91,6 +93,8 @@ Original source code:
     model = ConstrainAsSizeExample()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
@@ -125,7 +129,7 @@ constrain_as_value_example
 
 .. note::
 
-    Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value `
+    Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch `
 
     Support Level: SUPPORTED
 
@@ -155,7 +159,7 @@ Original source code:
             return y.cos()
     
     
-    example_inputs = (torch.tensor(4), torch.randn(5, 5))
+    example_args = (torch.tensor(4), torch.randn(5, 5))
     tags = {
         "torch.dynamic-value",
         "torch.escape-hatch",
@@ -163,6 +167,8 @@ Original source code:
     model = ConstrainAsValueExample()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/torch.map.rst.txt b/main/_sources/generated/exportdb/torch.map.rst.txt
index 9b2a1a80bf..6a13593e81 100644
--- a/main/_sources/generated/exportdb/torch.map.rst.txt
+++ b/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
 
@@ -29,11 +29,13 @@ Original source code:
     
             return map(body, xs, y)
     
-    example_inputs = (torch.randn(3, 2), torch.randn(2))
+    example_args = (torch.randn(3, 2), torch.randn(2))
     tags = {"torch.dynamic-shape", "torch.map"}
     model = DynamicShapeMap()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/torch.mutation.rst.txt b/main/_sources/generated/exportdb/torch.mutation.rst.txt
index de8722fa56..0b862a434c 100644
--- a/main/_sources/generated/exportdb/torch.mutation.rst.txt
+++ b/main/_sources/generated/exportdb/torch.mutation.rst.txt
@@ -27,11 +27,13 @@ Original source code:
             return x.cos()
     
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.mutation"}
     model = UserInputMutation()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
diff --git a/main/_sources/generated/exportdb/torch.operator.rst.txt b/main/_sources/generated/exportdb/torch.operator.rst.txt
index 459c71c6d7..144f064b05 100644
--- a/main/_sources/generated/exportdb/torch.operator.rst.txt
+++ b/main/_sources/generated/exportdb/torch.operator.rst.txt
@@ -28,14 +28,16 @@ Original source code:
             return x.sum() + torch.sym_min(x.size(0), 100)
     
     
-    example_inputs = (torch.randn(3, 2),)
+    example_args = (torch.randn(3, 2),)
     tags = {"torch.operator"}
     support_level = SupportLevel.NOT_SUPPORTED_YET
     model = TorchSymMin()
     
 
+    torch.export.export(model, example_args)
+
 Result:
 
 .. code-block::
 
-    Unsupported: torch.* op returned non-Tensor int call_function 
+    Unsupported: torch.* op returned non-Tensor int call_function 
diff --git a/main/_sources/torch.compiler_dynamo_deepdive.rst.txt b/main/_sources/torch.compiler_dynamo_deepdive.rst.txt
index f4c45807d1..0fb5f92072 100644
--- a/main/_sources/torch.compiler_dynamo_deepdive.rst.txt
+++ b/main/_sources/torch.compiler_dynamo_deepdive.rst.txt
@@ -598,16 +598,19 @@ This is mostly useful for debugging purposes.
 0, 1 are always specialized
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-Regardless of whether we mark a dimension as dynamic, or we have traced
-an integer as dynamic, if we pass an input where that dimension is 0 or
-1, Dynamo will trace it as non-dynamic and it will generate a specific
-graph for it. This is the reason why in the example above we find guards
-of the form ``2 <= L['a'].size()[0]``.
+Regardless of whether we mark a dimension as dynamic, if we pass an input
+where that dimension is 0 or 1, Dynamo will trace it as non-dynamic and it
+will generate a specific graph for it. This is the reason why in the example
+above we find guards of the form ``2 <= L['a'].size()[0]``.
 
 There are several reasons for this choice. There are two particularly
 important - A tensor is empty if and only if any of its dimensions is
 zero - A tensor can only be contiguous if one of the strides is one
 
+This policy decision does NOT apply to plain Python ints; if we think a Python
+int should be compiled dynamically, we won't specialize them by default;
+instead, whether or not it gets specialized depends on its usage.
+
 Duck shaping
 ^^^^^^^^^^^^
 
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index 3bc23d032b..2a10489475 100644
--- a/main/amp.html
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@@ -281,7 +281,7 @@
           

             
     

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index 8271909d66..6249f6052b 100644
--- a/main/autograd.html
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@@ -281,7 +281,7 @@
           

             
     

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index dcc6e42365..f1e7cf2f6d 100644
--- a/main/backends.html
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@@ -281,7 +281,7 @@
           

             
     

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index 4049a49b32..84083701b4 100644
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index 04f3e19f5a..8c7034aace 100644
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index 334ee888cd..e924e5b33d 100644
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index 7dfeaa4d3b..47ec94a4a5 100644
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index 3b8f1966f4..803da8aa03 100644
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index e42385d09f..04e3b4a808 100644
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index fa4133e185..c1a8021dfc 100644
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index e5bde05afd..3c3828d17b 100644
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index 39ef6899dc..2a8705a5a2 100644
--- a/main/elastic/kubernetes.html
+++ b/main/elastic/kubernetes.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/elastic/metrics.html b/main/elastic/metrics.html
index 95a1289fb5..54a8e5f7ba 100644
--- a/main/elastic/metrics.html
+++ b/main/elastic/metrics.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/elastic/multiprocessing.html b/main/elastic/multiprocessing.html
index 6e68c26332..7941f8ea86 100644
--- a/main/elastic/multiprocessing.html
+++ b/main/elastic/multiprocessing.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/elastic/quickstart.html b/main/elastic/quickstart.html
index b470a319fc..3ef39cf19b 100644
--- a/main/elastic/quickstart.html
+++ b/main/elastic/quickstart.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/elastic/rendezvous.html b/main/elastic/rendezvous.html
index 50c7bad406..0c6dc8d79c 100644
--- a/main/elastic/rendezvous.html
+++ b/main/elastic/rendezvous.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/elastic/run.html b/main/elastic/run.html
index bbe51d01ab..dcbf748b68 100644
--- a/main/elastic/run.html
+++ b/main/elastic/run.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/elastic/subprocess_handler.html b/main/elastic/subprocess_handler.html
index c3ef8945f1..04d6d58994 100644
--- a/main/elastic/subprocess_handler.html
+++ b/main/elastic/subprocess_handler.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/elastic/timer.html b/main/elastic/timer.html
index 9b106a9a0b..c86098e956 100644
--- a/main/elastic/timer.html
+++ b/main/elastic/timer.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/elastic/train_script.html b/main/elastic/train_script.html
index b1756b4bd4..55ef42b86a 100644
--- a/main/elastic/train_script.html
+++ b/main/elastic/train_script.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/export.html b/main/export.html
index 33c576d2e4..5778e5275f 100644
--- a/main/export.html
+++ b/main/export.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/export.ir_spec.html b/main/export.ir_spec.html
index c4362b7193..b9e6f00f0e 100644
--- a/main/export.ir_spec.html
+++ b/main/export.ir_spec.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/fft.html b/main/fft.html
index 61d4f7fb0f..d1a29d6b2c 100644
--- a/main/fft.html
+++ b/main/fft.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/fsdp.html b/main/fsdp.html
index 1bd9002371..251e18fc05 100644
--- a/main/fsdp.html
+++ b/main/fsdp.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/func.api.html b/main/func.api.html
index 412b4848f1..b2483b7e82 100644
--- a/main/func.api.html
+++ b/main/func.api.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/func.batch_norm.html b/main/func.batch_norm.html
index 456681ec37..9ef75273e9 100644
--- a/main/func.batch_norm.html
+++ b/main/func.batch_norm.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/func.html b/main/func.html
index e0ed1205b3..20068cdc03 100644
--- a/main/func.html
+++ b/main/func.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/func.migrating.html b/main/func.migrating.html
index 5cdca7c0ec..9c6e033b28 100644
--- a/main/func.migrating.html
+++ b/main/func.migrating.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/func.ux_limitations.html b/main/func.ux_limitations.html
index b818b7b3be..81ec45a8e5 100644
--- a/main/func.ux_limitations.html
+++ b/main/func.ux_limitations.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/func.whirlwind_tour.html b/main/func.whirlwind_tour.html
index a29527d0ce..57058feb5c 100644
--- a/main/func.whirlwind_tour.html
+++ b/main/func.whirlwind_tour.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/future_mod.html b/main/future_mod.html
index 4c1b27d6e9..37f553c9e2 100644
--- a/main/future_mod.html
+++ b/main/future_mod.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/futures.html b/main/futures.html
index 54e1c000bc..612fdc107c 100644
--- a/main/futures.html
+++ b/main/futures.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/fx.experimental.html b/main/fx.experimental.html
index 66376a53de..6dc8b2f9fa 100644
--- a/main/fx.experimental.html
+++ b/main/fx.experimental.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/fx.html b/main/fx.html
index 8a7b872e5b..a01c3df60a 100644
--- a/main/fx.html
+++ b/main/fx.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
diff --git a/main/generated/exportdb/index.html b/main/generated/exportdb/index.html
index 9a73cc393a..9103d44cd2 100644
--- a/main/generated/exportdb/index.html
+++ b/main/generated/exportdb/index.html
@@ -281,7 +281,7 @@
           

             
     

-      main (2.5.0a0+git111f9b5 ) ▼
+      main (2.5.0a0+git2fe7c1f ) ▼
     

     
 
@@ -539,8 +539,8 @@
 
Tags

 

 

 
Result:

@@ -628,8 +631,11 @@ 
autograd_functiondef forward(self, x):
         return MyAutogradFunction.apply(x)
 
-example_inputs = (torch.randn(3, 2),)
+example_args = (torch.randn(3, 2),)
 model = AutogradFunction()
+
+
+torch.export.export(model, example_args)

Result:

@@ -673,8 +679,11 @@

class_methodx = self.linear(x) return self.method(x) * self.__class__.method(x) * type(self).method(x) -example_inputs = (torch.randn(3, 4),) +example_args = (torch.randn(3, 4),) model = ClassMethod() + + +torch.export.export(model, example_args)

Result:

@@ -707,7 +716,7 @@

class_method

Note

-

Tags: torch.cond, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.cond

Support Level: SUPPORTED

Original source code:

@@ -749,12 +758,15 @@

cond_branch_class_methoddef forward(self, x): return cond(x.shape[0] <= 2, self.subm.forward, self.bar, [x]) -example_inputs = (torch.randn(3),) +example_args = (torch.randn(3),) tags = { "torch.cond", "torch.dynamic-shape", } model = CondBranchClassMethod() + + +torch.export.export(model, example_args)

Result:

@@ -787,7 +799,7 @@

cond_branch_class_method

Note

-

Tags: torch.cond, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.cond

Support Level: SUPPORTED

Original source code:

@@ -826,12 +838,15 @@

cond_branch_nested_functionreturn cond(x.shape[0] < 10, true_fn, false_fn, [x]) -example_inputs = (torch.randn(3),) +example_args = (torch.randn(3),) tags = { "torch.cond", "torch.dynamic-shape", } model = CondBranchNestedFunction() + + +torch.export.export(model, example_args)

Result:

@@ -864,7 +879,7 @@

cond_branch_nested_function

Note

-

Tags: torch.cond, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.cond

Support Level: SUPPORTED

Original source code:

@@ -921,12 +936,15 @@

cond_branch_nonlocal_variables[x, my_tensor_var, torch.tensor(my_primitive_var)], ) -example_inputs = (torch.randn(6),) +example_args = (torch.randn(6),) tags = { "torch.cond", "torch.dynamic-shape", } model = CondBranchNonlocalVariables() + + +torch.export.export(model, example_args)

Result:

@@ -991,9 +1009,12 @@

cond_closed_over_variablereturn cond(pred, true_fn, false_fn, [x + 1]) -example_inputs = (torch.tensor(True), torch.randn(3, 2)) +example_args = (torch.tensor(True), torch.randn(3, 2)) tags = {"torch.cond", "python.closure"} model = CondClosedOverVariable() + + +torch.export.export(model, example_args)

Result:

@@ -1026,7 +1047,7 @@

cond_closed_over_variable

Note

-

Tags: torch.cond, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.cond

Support Level: SUPPORTED

Original source code:

@@ -1058,7 +1079,7 @@

cond_operandsreturn cond(x.shape[0] > 2, true_fn, false_fn, [x, y]) -example_inputs = (x, y) +example_args = (x, y) tags = { "torch.cond", "torch.dynamic-shape", @@ -1066,6 +1087,9 @@

cond_operandsextra_inputs = (torch.randn(2, 2), torch.randn(2)) dynamic_shapes = {"x": {0: dim0_x}, "y": None} model = CondOperands() + + +torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)

Result:

@@ -1100,7 +1124,7 @@

cond_operands

Note

-

Tags: torch.cond, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.cond

Support Level: SUPPORTED

Original source code:

@@ -1123,12 +1147,15 @@

cond_predicatereturn cond(pred, lambda x: x.cos(), lambda y: y.sin(), [x]) -example_inputs = (torch.randn(6, 4, 3),) +example_args = (torch.randn(6, 4, 3),) tags = { "torch.cond", "torch.dynamic-shape", } model = CondPredicate() + + +torch.export.export(model, example_args)

Result:

@@ -1161,7 +1188,7 @@

cond_predicate

Note

-

Tags: torch.escape-hatch, torch.dynamic-value

+

Tags: torch.dynamic-value, torch.escape-hatch

Support Level: SUPPORTED

Original source code:

@@ -1184,12 +1211,15 @@

constrain_as_size_examplereturn torch.zeros((a, 5)) -example_inputs = (torch.tensor(4),) +example_args = (torch.tensor(4),) tags = { "torch.dynamic-value", "torch.escape-hatch", } model = ConstrainAsSizeExample() + + +torch.export.export(model, example_args)

Result:

@@ -1222,7 +1252,7 @@

constrain_as_size_example

Note

-

Tags: torch.escape-hatch, torch.dynamic-value

+

Tags: torch.dynamic-value, torch.escape-hatch

Support Level: SUPPORTED

Original source code:

@@ -1248,12 +1278,15 @@

constrain_as_value_examplereturn y.cos() -example_inputs = (torch.tensor(4), torch.randn(5, 5)) +example_args = (torch.tensor(4), torch.randn(5, 5)) tags = { "torch.dynamic-value", "torch.escape-hatch", } model = ConstrainAsValueExample() + + +torch.export.export(model, example_args)

Result:

@@ -1308,8 +1341,11 @@

decoratordef forward(self, x, y): return x + y -example_inputs = (torch.randn(3, 2), torch.randn(3, 2)) +example_args = (torch.randn(3, 2), torch.randn(3, 2)) model = Decorator() + + +torch.export.export(model, example_args)

Result:

@@ -1350,9 +1386,12 @@

dictionaryy = y * elements["x2"] return {"y": y} -example_inputs = (torch.randn(3, 2), torch.tensor(4)) +example_args = (torch.randn(3, 2), torch.tensor(4)) tags = {"python.data-structure"} model = Dictionary() + + +torch.export.export(model, example_args)

Result:

@@ -1394,9 +1433,12 @@

dynamic_shape_assertassert x.shape[0] > 1 return x -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"python.assert"} model = DynamicShapeAssert() + + +torch.export.export(model, example_args)

Result:

@@ -1430,9 +1472,12 @@

dynamic_shape_constructordef forward(self, x): return torch.zeros(x.shape[0] * 2) -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"torch.dynamic-shape"} model = DynamicShapeConstructor() + + +torch.export.export(model, example_args)

Result:

@@ -1472,9 +1517,12 @@

dynamic_shape_if_guardreturn x.sin() -example_inputs = (torch.randn(3, 2, 2),) +example_args = (torch.randn(3, 2, 2),) tags = {"torch.dynamic-shape", "python.control-flow"} model = DynamicShapeIfGuard() + + +torch.export.export(model, example_args)

Result:

@@ -1494,7 +1542,7 @@

dynamic_shape_if_guarddynamic_shape_map

Note

-

Tags: torch.map, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.map

Support Level: SUPPORTED

Original source code:

@@ -1514,9 +1562,12 @@

dynamic_shape_mapreturn map(body, xs, y) -example_inputs = (torch.randn(3, 2), torch.randn(2)) +example_args = (torch.randn(3, 2), torch.randn(2)) tags = {"torch.dynamic-shape", "torch.map"} model = DynamicShapeMap() + + +torch.export.export(model, example_args)

Result:

@@ -1559,9 +1610,12 @@

dynamic_shape_slicingdef forward(self, x): return x[: x.shape[0] - 2, x.shape[1] - 1 :: 2] -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"torch.dynamic-shape"} model = DynamicShapeSlicing() + + +torch.export.export(model, example_args)

Result:

@@ -1600,9 +1654,12 @@

dynamic_shape_viewx = x.view(*new_x_shape) return x.permute(0, 2, 1) -example_inputs = (torch.randn(10, 10),) +example_args = (torch.randn(10, 10),) tags = {"torch.dynamic-shape"} model = DynamicShapeView() + + +torch.export.export(model, example_args)

Result:

@@ -1632,8 +1689,6 @@

fn_with_kwargs
# mypy: allow-untyped-defs
 import torch
 
-from torch._export.db.case import ExportArgs
-
 class FnWithKwargs(torch.nn.Module):
     """
     Keyword arguments are not supported at the moment.
@@ -1649,33 +1704,39 @@ 
fn_with_kwargsout = out * mykwargs["input0"] * mykwargs["input1"]
         return out
 
-example_inputs = ExportArgs(
+example_args = (
     torch.randn(4),
     (torch.randn(4), torch.randn(4)),
-    *[torch.randn(4), torch.randn(4)],
-    mykw0=torch.randn(4),
-    input0=torch.randn(4), input1=torch.randn(4)
+    *[torch.randn(4), torch.randn(4)]
 )
+example_kwargs = {
+    "mykw0": torch.randn(4),
+    "input0": torch.randn(4),
+    "input1": torch.randn(4),
+}
 tags = {"python.data-structure"}
 model = FnWithKwargs()
+
+
+torch.export.export(model, example_args, example_kwargs)

Result:

ExportedProgram:
     class GraphModule(torch.nn.Module):
         def forward(self, pos0: "f32[4]", tuple0_0: "f32[4]", tuple0_1: "f32[4]", myargs_0: "f32[4]", myargs_1: "f32[4]", mykw0: "f32[4]", input0: "f32[4]", input1: "f32[4]"):
-             # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:14 in forward, code: out = out * arg
+             # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:12 in forward, code: out = out * arg
             mul: "f32[4]" = torch.ops.aten.mul.Tensor(pos0, tuple0_0);  pos0 = tuple0_0 = None
             mul_1: "f32[4]" = torch.ops.aten.mul.Tensor(mul, tuple0_1);  mul = tuple0_1 = None
 
-             # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:16 in forward, code: out = out * arg
+             # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:14 in forward, code: out = out * arg
             mul_2: "f32[4]" = torch.ops.aten.mul.Tensor(mul_1, myargs_0);  mul_1 = myargs_0 = None
             mul_3: "f32[4]" = torch.ops.aten.mul.Tensor(mul_2, myargs_1);  mul_2 = myargs_1 = None
 
-             # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:17 in forward, code: out = out * mykw0
+             # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:15 in forward, code: out = out * mykw0
             mul_4: "f32[4]" = torch.ops.aten.mul.Tensor(mul_3, mykw0);  mul_3 = mykw0 = None
 
-             # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:18 in forward, code: out = out * mykwargs["input0"] * mykwargs["input1"]
+             # File: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_export/db/examples/fn_with_kwargs.py:16 in forward, code: out = out * mykwargs["input0"] * mykwargs["input1"]
             mul_5: "f32[4]" = torch.ops.aten.mul.Tensor(mul_4, input0);  mul_4 = input0 = None
             mul_6: "f32[4]" = torch.ops.aten.mul.Tensor(mul_5, input1);  mul_5 = input1 = None
             return (mul_6,)
@@ -1689,7 +1750,7 @@ 
fn_with_kwargs

 

 
Note

-
Tags: python.assert, python.data-structure, torch.dynamic-shape

+
Tags: torch.dynamic-shape, python.data-structure, python.assert

 
Support Level: SUPPORTED

 

 
Original source code:

@@ -1707,9 +1768,12 @@ 
list_containsassert "monkey" not in ["cow", "pig"]
         return x + x
 
-example_inputs = (torch.randn(3, 2),)
+example_args = (torch.randn(3, 2),)
 tags = {"torch.dynamic-shape", "python.data-structure", "python.assert"}
 model = ListContains()
+
+
+torch.export.export(model, example_args)

Result:

@@ -1752,9 +1816,12 @@

list_unpackx, *y = args return x + y[0] -example_inputs = ([torch.randn(3, 2), torch.tensor(4), torch.tensor(5)],) +example_args = ([torch.randn(3, 2), torch.tensor(4), torch.tensor(5)],) tags = {"python.control-flow", "python.data-structure"} model = ListUnpack() + + +torch.export.export(model, example_args)

Result:

@@ -1798,9 +1865,12 @@

nested_functionreturn closure(x) -example_inputs = (torch.randn(3, 2), torch.randn(2)) +example_args = (torch.randn(3, 2), torch.randn(2)) tags = {"python.closure"} model = NestedFunction() + + +torch.export.export(model, example_args)

Result:

@@ -1852,9 +1922,12 @@

null_context_managerwith ctx: return x.sin() + x.cos() -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"python.context-manager"} model = NullContextManager() + + +torch.export.export(model, example_args)

Result:

@@ -1894,8 +1967,11 @@

pytree_flatteny, spec = pytree.tree_flatten(x) return y[0] + 1 -example_inputs = ({1: torch.randn(3, 2), 2: torch.randn(3, 2)},), +example_args = ({1: torch.randn(3, 2), 2: torch.randn(3, 2)},), model = PytreeFlatten() + + +torch.export.export(model, example_args)

Result:

@@ -1938,10 +2014,13 @@

scalar_outputdef forward(self, x): return x.shape[1] + 1 -example_inputs = (x,) +example_args = (x,) tags = {"torch.dynamic-shape"} dynamic_shapes = {"x": {1: dim1_x}} model = ScalarOutput() + + +torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)

Result:

@@ -1990,8 +2069,11 @@

specialized_attributeelse: raise ValueError("bad") -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) model = SpecializedAttribute() + + +torch.export.export(model, example_args)

Result:

@@ -2030,9 +2112,12 @@

static_for_loopret.append(i + x) return ret -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"python.control-flow"} model = StaticForLoop() + + +torch.export.export(model, example_args)

Result:

@@ -2080,9 +2165,12 @@

static_ifreturn x -example_inputs = (torch.randn(3, 2, 2),) +example_args = (torch.randn(3, 2, 2),) tags = {"python.control-flow"} model = StaticIf() + + +torch.export.export(model, example_args)

Result:

@@ -2119,9 +2207,12 @@

tensor_setattrsetattr(x, attr, torch.randn(3, 2)) return x + 4 -example_inputs = (torch.randn(3, 2), "attr") +example_args = (torch.randn(3, 2), "attr") tags = {"python.builtin"} model = TensorSetattr() + + +torch.export.export(model, example_args)

Result:

@@ -2164,9 +2255,12 @@

type_reflection_methodreturn type(a).func(x) -example_inputs = (torch.randn(3, 4),) +example_args = (torch.randn(3, 4),) tags = {"python.builtin"} model = TypeReflectionMethod() + + +torch.export.export(model, example_args)

Result:

@@ -2204,9 +2298,12 @@

user_input_mutationreturn x.cos() -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"torch.mutation"} model = UserInputMutation() + + +torch.export.export(model, example_args)

Result:

@@ -2232,7 +2329,7 @@

Not Supported Yet

Note

-

Tags: torch.dynamic-shape, python.builtin

+

Tags: python.builtin, torch.dynamic-shape

Support Level: NOT_SUPPORTED_YET

Original source code:

@@ -2252,11 +2349,14 @@

dynamic_shape_roundx = torch.randn(3, 2) dim0_x = Dim("dim0_x") -example_inputs = (x,) +example_args = (x,) tags = {"torch.dynamic-shape", "python.builtin"} support_level = SupportLevel.NOT_SUPPORTED_YET dynamic_shapes = {"x": {0: dim0_x}} model = DynamicShapeRound() + + +torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)

Result:

@@ -2295,10 +2395,13 @@

model_attr_mutationreturn x.sum() + self.attr_list[0].sum() -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"python.object-model"} support_level = SupportLevel.NOT_SUPPORTED_YET model = ModelAttrMutation() + + +torch.export.export(model, example_args)

Result:

@@ -2331,10 +2434,13 @@

optional_inputreturn x -example_inputs = (torch.randn(2, 3),) +example_args = (torch.randn(2, 3),) tags = {"python.object-model"} support_level = SupportLevel.NOT_SUPPORTED_YET model = OptionalInput() + + +torch.export.export(model, example_args)

Result:

@@ -2365,14 +2471,17 @@

torch_sym_minreturn x.sum() + torch.sym_min(x.size(0), 100) -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"torch.operator"} support_level = SupportLevel.NOT_SUPPORTED_YET model = TorchSymMin() + + +torch.export.export(model, example_args)

Result:

-
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7f13e1d9b310>
+
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7f159e99f310>
diff --git a/main/generated/exportdb/python.assert.html b/main/generated/exportdb/python.assert.html index d53971ed3f..29c0bf3bc7 100644 --- a/main/generated/exportdb/python.assert.html +++ b/main/generated/exportdb/python.assert.html @@ -281,7 +281,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
@@ -552,9 +552,12 @@

dynamic_shape_assertassert x.shape[0] > 1 return x -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"python.assert"} model = DynamicShapeAssert() + + +torch.export.export(model, example_args)

Result:

@@ -572,7 +575,7 @@

dynamic_shape_assertlist_contains

Note

-

Tags: python.assert, python.data-structure, torch.dynamic-shape

+

Tags: torch.dynamic-shape, python.data-structure, python.assert

Support Level: SUPPORTED

Original source code:

@@ -590,9 +593,12 @@

list_containsassert "monkey" not in ["cow", "pig"] return x + x -example_inputs = (torch.randn(3, 2),) +example_args = (torch.randn(3, 2),) tags = {"torch.dynamic-shape", "python.data-structure", "python.assert"} model = ListContains() + + +torch.export.export(model, example_args)

Result:

diff --git a/main/generated/exportdb/python.builtin.html b/main/generated/exportdb/python.builtin.html index 929a59e83e..ebcbe4defc 100644 --- a/main/generated/exportdb/python.builtin.html +++ b/main/generated/exportdb/python.builtin.html @@ -281,7 +281,7 @@
- main (2.5.0a0+git111f9b5 ) ▼ + main (2.5.0a0+git2fe7c1f ) ▼
@@ -533,7 +533,7 @@

python.builtin

Note

-

Tags: torch.dynamic-shape, python.builtin

+

Tags: python.builtin, torch.dynamic-shape

Support Level: NOT_SUPPORTED_YET

Original source code:

@@ -553,11 +553,14 @@

dynamic_shape_roundx = torch.randn(3, 2) dim0_x = Dim("dim0_x") -example_inputs = (x,) +example_args = (x,) tags = {"torch.dynamic-shape", "python.builtin"} support_level = SupportLevel.NOT_SUPPORTED_YET dynamic_shapes = {"x": {0: dim0_x}} model = DynamicShapeRound() + + +torch.export.export(model, example_args, dynamic_shapes=dynamic_shapes)

Result:

@@ -585,9 +588,12 @@

tensor_setattrsetattr(x, attr, torch.randn(3, 2)) return x + 4 -example_inputs = (torch.randn(3, 2), "attr") +example_args = (torch.randn(3, 2), "attr") tags = {"python.builtin"} model = TensorSetattr() + + +torch.export.export(model, example_args)

Result:

@@ -630,9 +636,12 @@

type_reflection_methodreturn type(a).func(x) -example_inputs = (torch.randn(3, 4),) +example_args = (torch.randn(3, 4),) tags = {"python.builtin"} model = TypeReflectionMethod() + + +torch.export.export(model, example_args)

Result:

diff --git a/main/generated/exportdb/python.closure.html b/main/generated/exportdb/python.closure.html index db42f1a5ce..967633f277 100644 --- a/main/generated/exportdb/python.closure.html +++ b/main/generated/exportdb/python.closure.html @@ -41,7 +41,7 @@ - +