fix: fix: Fixed the patch so it applies correctly without errors

Author: s50057208

test_upstream/test/distributed/_composable/fsdp/test_fully_shard_overlap.py.patch

@@ -10,4 +10,4 @@ index 2d1cc77..7dbd122 100644
 +
  # Owner(s): ["oncall: distributed"]
 
- import copy
+ import contextlib

test_upstream/test/distributed/_composable/test_replicate_mixed_precision.py.patch

@@ -1,9 +1,8 @@
 diff --git a/test/distributed/_composable/test_replicate_mixed_precision.py b/test/distributed/_composable/test_replicate_mixed_precision.py
-index 8a03bdb..8924f15 100644
 --- a/test/distributed/_composable/test_replicate_mixed_precision.py
 +++ b/test/distributed/_composable/test_replicate_mixed_precision.py
-@@ -1,6 +1,8 @@
- # Owner(s): ["oncall: distributed"]
+@@ -5,6 +5,8 @@
+ import functools
 
  import torch
 +import torch_npu

test_upstream/test/distributed/rpc/test_tensorpipe_agent.py.patch

@@ -10,3 +10,4 @@ index e21460ba04c..84afb6ecfd5 100644
 +
  #!/usr/bin/env python3
  # Owner(s): ["oncall: distributed"]
+ 

test_upstream/test/dynamo/test_functions.py.patch

@@ -3,17 +3,17 @@ index 48e08b0..d1fea78 100644
 --- a/test/dynamo/test_functions.py
 +++ b/test/dynamo/test_functions.py
 @@ -5454,7 +5454,7 @@ class DefaultsTests(torch._dynamo.test_case.TestCase):
-
+ 
          opt_fn = torch.compile(fn, backend="eager", fullgraph=True)
-
+ 
 -        x = [torch.randn(4), [torch.randn(4), torch.randn(4)]]
 +        x = [torch.randn(4).npu(), [torch.randn(4).npu(), torch.randn(4).npu()]]
-
+ 
          def f(y):
              return y * 2
 @@ -5466,8 +5466,8 @@ class DefaultsTests(torch._dynamo.test_case.TestCase):
          self.assertTrue(type(ref) is type(res))
-
+ 
          x = {
 -            "a": torch.randn(4),
 -            "b": [torch.randn(4), torch.randn(4)],

test_upstream/test/dynamo/test_guard_serialization.py.patch

@@ -2,8 +2,7 @@ diff --git a/test/dynamo/test_guard_serialization.py b/test/dynamo/test_guard_se
 index 99727bb..808d7a5 100644
 --- a/test/dynamo/test_guard_serialization.py
 +++ b/test/dynamo/test_guard_serialization.py
-@@ -1,6 +1,8 @@
- # Owner(s): ["module: dynamo"]
+@@ -13,5 +13,7 @@
 
  import torch
 +import torch_npu

test_upstream/test/dynamo/test_install_free_tensors.py.patch

@@ -3,7 +3,7 @@ index 438ad5c..c36dca2 100644
 --- a/test/dynamo/test_install_free_tensors.py
 +++ b/test/dynamo/test_install_free_tensors.py
 @@ -5,6 +5,8 @@ from typing import Any
-
+ 
  import torch
  import torch._dynamo
 +import torch_npu

test_upstream/test/dynamo/test_misc.py.patch

@@ -3,13 +3,13 @@ index 893fe24..fca0602 100644
 --- a/test/dynamo/test_misc.py
 +++ b/test/dynamo/test_misc.py
 @@ -12569,7 +12569,7 @@ def ___make_guard_fn():
-
+ 
          # Call create_symbolic_sizes_strides_storage_offset on both of them.
          r = main.create_symbolic_sizes_strides_storage_offset(
 -            torch.randn(3, 2), ConstantSource("x")
 +            torch.randn(3, 2).npu(), ConstantSource("x")
          )
-
+ 
          # Create a guard: size[0] == 3 (call evaluate_expr)
 @@ -12623,7 +12623,7 @@ ShapeEnv not equal: field values don't match:
      def test_shape_env_equal_create_symbolic_sizes_strides_storage_offset(self):
@@ -21,7 +21,7 @@ index 893fe24..fca0602 100644
          self.assertExpectedRaisesInline(
              NotEqualError,
 @@ -12693,10 +12693,10 @@ ShapeEnv not equal: field values don't match:
-
+ 
          # Call create_symbolic_sizes_strides_storage_offset on both of them.
          r = main.create_symbolic_sizes_strides_storage_offset(
 -            torch.randn(3, 2), ConstantSource("x")
@@ -31,10 +31,10 @@ index 893fe24..fca0602 100644
 -            torch.randn(3, 2), ConstantSource("x")
 +            torch.randn(3, 2).npu(), ConstantSource("x")
          )
-
+ 
          # Create a guard: size[0] % 3 == 0 (only in the main ShapeEnv)
 @@ -12733,10 +12733,10 @@ ShapeEnv not equal: field values don't match:
-
+ 
          # Call create_symbolic_sizes_strides_storage_offset on both of them.
          r = main.create_symbolic_sizes_strides_storage_offset(
 -            torch.randn(3, 2), ConstantSource("x")
@@ -44,10 +44,10 @@ index 893fe24..fca0602 100644
 -            torch.randn(3, 2), ConstantSource("x")
 +            torch.randn(3, 2).npu(), ConstantSource("x")
          )
-
+ 
          # Create a guard: size[0] == 3 (only in the main ShapeEnv)
 @@ -12776,10 +12776,10 @@ ShapeEnv not equal: field values don't match:
-
+ 
          # Call create_symbolic_sizes_strides_storage_offset on both of them.
          r = main.create_symbolic_sizes_strides_storage_offset(
 -            torch.randn(3, 2), ConstantSource("x")
@@ -57,5 +57,5 @@ index 893fe24..fca0602 100644
 -            torch.randn(3, 2), ConstantSource("x")
 +            torch.randn(3, 2).npu(), ConstantSource("x")
          )
-
+ 
          # Create a guard: size[0] >= 3 (only in the main ShapeEnv)

test_upstream/test/dynamo/test_python_autograd.py.patch

@@ -8,3 +8,4 @@ index 2acaf67..d6d8162 100644
 +
  # Owner(s): ["module: dynamo"]
  from typing import NamedTuple, TYPE_CHECKING
+ 

test_upstream/test/fx/test_subgraph_rewriter.py.patch

@@ -177,12 +177,4 @@ index d19ee70..5149c63 100644
 +        x1 = torch.randn(3, 4).npu()
 
          subgraph_rewriter.replace_pattern(traced, pattern, replacement)
-#
-# NPU Patch Explanation:
-# 
-# Key modifications:
-# - Changed all torch.rand/torch.randn tensor creations to use .npu() method
-# - All test input tensors now created on NPU device
-# - Subgraph rewriter tests now execute on NPU instead of CPU
-# - Pattern matching and replacement operations validated on NPU
-# - No import changes needed as torch_npu is typically imported elsewhere
+ 

test_upstream/test/inductor/test_aot_inductor.py.patch

@@ -5,7 +5,7 @@ index 45444ae3d7f..f533beabb7e 100644
 @@ -13,7 +13,6 @@ import zipfile
  from unittest import skip
  from unittest.mock import patch
-
+ 
 -import torch
  import torch._export
  import torch._inductor
@@ -14,34 +14,34 @@ index 45444ae3d7f..f533beabb7e 100644
      if __name__ == "__main__":
          sys.exit(0)
      raise
+ 
 -
 +import torch_npu._inductor
-
  def get_module_ext_type():
      if IS_WINDOWS:
 @@ -532,7 +531,6 @@ class AOTInductorTestsTemplate:
          new_output = runner_call(test_inputs)
          self.assertEqual(expected, new_output)
-
+ 
 -    @requires_gpu
      def test_duplicate_constant_folding(self):
          class Model(torch.nn.Module):
              def __init__(self, device):
 @@ -679,7 +677,6 @@ class AOTInductorTestsTemplate:
              dynamic_shapes=dynamic_shapes,
          )
-
+ 
 -    @requires_gpu
      def test_multi_device(self):
          if self.device == "cpu" and GPU_TYPE == "xpu":
              raise unittest.SkipTest(
 @@ -8651,7 +8648,5 @@ class TestCheckLowerboundConfig(TestCase):
-
+ 
  if __name__ == "__main__":
      from torch._inductor.test_case import run_tests
 -
 -    # cpp_extension N/A in fbcode
 -    if HAS_GPU or sys.platform == "darwin":
 -        run_tests(needs="filelock")
-+    
++
 +    run_tests(needs="filelock")