[rocm7.0_internal_testing] skip 3D NCHW FP16 batchnorm test due to Native accuracy issue (#2370)

Skip for
`test_nn.py::TestNN.test_batchnorm_3D_train_NCHW_vs_native_mixed_float16`
Test failed on `weight gradient` comparison MIOpen/CuDNN vs Native
batchnorm.

But CPU test `test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16` passed.
It looks like FP16 Native batchnorm issue.

Failed on MI200/MI300 and V100
It passed somehow on Navi (with enabled MIOpen)

Fixes SWDEV-541024, SWDEV-539171

```
python test_nn.py -v -k test_batchnorm_3D_train_NCHW_vs_native_mixed_float16

test_batchnorm_3D_train_NCHW_vs_native_mixed_float16 (__main__.TestNN) ... skipped '3D float16 NCHW train failed on CUDA and ROCm due to Native batchnorm accuracy issue SWDEV-541024'

OK (skipped=1)
```

Author: dnikolaev-amd

test/test_nn.py

@@ -5180,6 +5180,8 @@ def test_batchnorm_nhwc_cuda(self):
         name_fn=lambda f, b, m, t: f"{f}_vs_{b}{'_mixed' if m else ''}_{dtype_name(t)}"
     )
     def test_batchnorm(self, dims, mode, memory_format, ref_backend, mixed, dtype):
+        if self._testMethodName == "test_batchnorm_3D_train_NCHW_vs_native_mixed_float16":
+           self.skipTest("3D float16 NCHW train failed on CUDA and ROCm due to Native batchnorm accuracy issue SWDEV-541024")
         if torch.version.hip:
             if self._testMethodName in ("test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_bfloat16",
                                     "test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16",
@@ -5195,10 +5197,6 @@ def test_batchnorm(self, dims, mode, memory_format, ref_backend, mixed, dtype):
                                         ) and _get_torch_rocm_version() >= (6, 4):
                 self.skipTest("bfloat16 NCHW train failed due to native tolerance issue SWDEV-507600")
 
-            if self._testMethodName == "test_batchnorm_3D_train_NCHW_vs_native_mixed_float16" \
-                and _get_torch_rocm_version() < (6, 4):
-                self.skipTest("3D float16 NCHW train failed on ROCm<=6.3 ")
-
         if dims == 3 and memory_format in ("NHWC", "NCHW"):
             memory_format = memory_format + "3D"