[ROCm] Enabling several UTs (#161715)

All these UTs are working as is, just removing the skip
- test_p2p_ipc
- test_repros.py: working, added fp8 support
- test_activation_checkpointing.py
- test_content_store.py
- test_cuda_multigpu.py
- test_compute_comm_reordering.py
- test_segment_reductions.py
- test_dataloader.py
- test_math_ops.py
- test_loop_ordering.py
- test_control_flow.py
- distributed_test.py
- test_mem_tracker.py
- test_fsdp_optim_state.py
- test_fully_shard_mixed_precision.py: skippped for < ROCm7.0
- test_aot_inductor_custom_ops.py
- test_c10d_ops_nccl.py
- test_eager_transforms.py
- test_sparse_csr.py
- test_inductor_collectives.py
- test_fake_tensor.py
- test_cupy_as_tensor.py
- test_cuda.py: enable UTs that are working
- test_matmul_cuda.py: enable UTs that are working

Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/161715
Approved by: https://github.com/pruthvistony, https://github.com/jeffdaily

test/test_cuda_multigpu.py

@@ -31,7 +31,6 @@ from torch.testing._internal.common_utils import (
     run_tests,
     serialTest,
     skipCUDANonDefaultStreamIf,
-    skipIfRocm,
     TEST_CUDA,
     TestCase,
 )
@@ -777,8 +776,6 @@ class TestCudaMultiGPU(TestCase):
             p2c.get()
             c2p.put(sync_func(self, TestCudaMultiGPU.FIFTY_MIL_CYCLES))
 
-    # Skip the test for ROCm as per https://github.com/pytorch/pytorch/issues/53190
-    @skipIfRocm
     @unittest.skipIf(not TEST_MULTIGPU, "detected only one GPU")
     def test_stream_event_nogil(self):
         for sync_func in [
@@ -819,7 +816,6 @@ class TestCudaMultiGPU(TestCase):
             self.assertGreater(parent_time + child_time, total_time * 1.3)
 
     # This test is flaky for ROCm, see issue #62602
-    @skipIfRocm
     @unittest.skipIf(not TEST_MULTIGPU, "detected only one GPU")
     def test_events_wait(self):
         d0 = torch.device("cuda:0")
@@ -888,7 +884,6 @@ class TestCudaMultiGPU(TestCase):
             self.assertTrue(e1.query())
 
     @unittest.skipIf(not TEST_MULTIGPU, "detected only one GPU")
-    @skipIfRocm
     def test_events_multi_gpu_elapsed_time(self):
         d0 = torch.device("cuda:0")
         d1 = torch.device("cuda:1")