[Hardware] Replace torch.cuda.device_count/current_device/set_device API (#36145)
Signed-off-by: Kunshang Ji <jikunshang95@gmail.com> Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>
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@@ -442,7 +442,7 @@ def test_rearrange_expert_weights_with_redundancy(
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):
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"""Test the functionality of rearranging expert weights with redundancy."""
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if torch.cuda.device_count() < world_size:
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if torch.accelerator.device_count() < world_size:
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pytest.skip(f"Need at least {world_size} GPUs to run the test")
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distributed_run(
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_test_rearrange_expert_weights_with_redundancy,
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@@ -528,7 +528,7 @@ def test_async_transfer_layer_without_mtp(
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):
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"""Exercise async EPLB transfer path without MTP/spec decode."""
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if torch.cuda.device_count() < world_size:
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if torch.accelerator.device_count() < world_size:
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pytest.skip(f"Need at least {world_size} GPUs to run the test")
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distributed_run(
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@@ -547,7 +547,7 @@ def test_rearrange_expert_weights_no_change(world_size):
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unchanged.
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"""
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if torch.cuda.device_count() < world_size:
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if torch.accelerator.device_count() < world_size:
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pytest.skip(f"Need at least {world_size} GPUs to run the test")
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distributed_run(_test_rearrange_expert_weights_no_change, world_size)
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@@ -623,6 +623,6 @@ def _test_rearrange_expert_weights_profile_mode(env, world_size) -> None:
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def test_rearrange_expert_weights_profile_mode(world_size):
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"""Test profile mode (should not copy actual weights)"""
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if torch.cuda.device_count() < world_size:
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if torch.accelerator.device_count() < world_size:
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pytest.skip(f"Need at least {world_size} GPUs to run the test")
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distributed_run(_test_rearrange_expert_weights_profile_mode, world_size)
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