Fix device mismatch in test_copy_cache_modifiers assertions

[Copilot]

The test_copy_cache_modifiers test was comparing GPU tensors with CPU tensors, causing torch.allclose() to fail with a device mismatch error across all 30 parameterized test cases.

Changes

• Added device=results.device parameter to torch.full() call in the assertion to ensure comparison tensors are created on the same device as the results tensor

# Before
assert torch.allclose(results[i], torch.full((BLOCK_SIZE,), expected_value, dtype=torch.float32))

# After  
assert torch.allclose(
    results[i], torch.full((BLOCK_SIZE,), expected_value, dtype=torch.float32, device=results.device)
)

Original prompt

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This section details on the original issue you should resolve

<issue_title>Fix cache modifiers unittests bug</issue_title>
<issue_description> FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[None-None] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[None-] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[None-.wb] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[None-.cg] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[None-.cs] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[None-.wt] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[-None] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[-] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[-.wb] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[-.cg] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[-.cs] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[-.wt] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[.ca-None] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[.ca-] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[.ca-.wb] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[.ca-.cg] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[.ca-.cs] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[.ca-.wt] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
FAILED tests/unittests/test_copy_cache_modifiers.py::test_copy_cache_modifiers[.cg-None] - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
assert torch.allclose(results[i], torch.full((BLOCK_SIZE,), expected_value, dtype=torch.float32)), (
E RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cpu!
______________________ test_copy_cache_modifiers[.cg-.cs] ______________________
tests/unittests/test_copy_cache_modifiers.py:102: in test_copy_cache_modifiers
assert torch.allclose(results[i], torch.full((BLOCK_SIZE,), expected_value, dtype=torch.float32)), (
E RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cpu!
______________________ test_copy_cache_modifiers[.cg-.wt] ______________________
tests/unittests/test_copy_cache_modifiers.py:102: in test_copy_cache_modifiers
assert torch.allclose(results[i], torch.full((BLOCK_SIZE,), expected_value, dtype=torch.float32)), (
E RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cpu!
_____________________ test_copy_cache_modifiers[...

• Fixes Fix cache modifiers unittests bug #270

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[mawad-amd]

@copilot Does any of the other test cache modifier files have this bug?

[Copilot]

@copilot Does any of the other test cache modifier files have this bug?

No, the other cache modifier test files don't have this bug. I checked all 4 files:

• test_store_cache_modifiers.py
• test_get_cache_modifiers.py
• test_load_cache_modifiers.py
• test_put_cache_modifiers.py

They all use torch.testing.assert_close and correctly specify device="cuda" when creating expected tensors (e.g., torch.ones(BLOCK_SIZE, dtype=torch.float32, device="cuda")), so they already handle device placement correctly.