Drop flash_attn skip for quantizing_moe example tests (#1396)

SUMMARY:
Drop the skip related to requiring `flash_attn` be installed in the
tests for the `quantizing_moe` examples. Recent CI failures related to
this package and CUDA compatibility with the recently released PyTorch
2.7.0 has resulted in findings that it is not required for these tests.

TEST PLAN:
An [internal test run][1] that drops the installation of `flash-attn`
and runs the changes on this branch indicates that the tests will pass
(one successful so far, will mark PR as ready once the run completes and
the remaining show expected results).

Specific relevant output (will update with other tests’ results):
```
tests/examples/test_quantizing_moe.py::TestQuantizingMOE::test_deepseek_example_script[deepseek_moe_w8a8_int8.py] PASSED

tests/examples/test_quantizing_moe.py::TestQuantizingMOE::test_deepseek_example_script[deepseek_moe_w8a8_fp8.py] PASSED
```

[1]:
https://github.com/neuralmagic/llm-compressor-testing/actions/runs/14712618904

Signed-off-by: Domenic Barbuzzi <dbarbuzz@redhat.com>

Author: dbarbuzzi

tests/examples/test_quantizing_moe.py

@@ -11,12 +11,6 @@
     requires_gpu_count,
 )
 
-# flash_attn module is required. It cannot safely be specified as a dependency because
-# it rqeuires a number of non-standard packages to be installed in order to be built
-# such as pytorch, and thus cannot be installed in a clean environment (those
-# dependencies must be installed prior to attempting to install flash_attn)
-pytest.importorskip("flash_attn", reason="flash_attn is required")
-
 
 @pytest.fixture
 def example_dir() -> str: