[Hardware] using current_platform.seed_everything (#9785)
Signed-off-by: wangshuai09 <391746016@qq.com>
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@@ -6,7 +6,7 @@ import torch
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from tests.kernels.utils import DEFAULT_OPCHECK_TEST_UTILS, opcheck
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from vllm import _custom_ops as ops
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from vllm.utils import seed_everything
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from vllm.platforms import current_platform
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COPYING_DIRECTION = [('cuda', 'cpu'), ('cuda', 'cuda'), ('cpu', 'cuda')]
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DTYPES = [torch.half, torch.bfloat16, torch.float]
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@@ -56,7 +56,7 @@ def test_copy_blocks(
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) -> None:
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if kv_cache_dtype == "fp8" and head_size % 16:
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pytest.skip()
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seed_everything(seed)
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current_platform.seed_everything(seed)
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torch.set_default_device(device)
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# Generate random block mappings where each source block is mapped to two
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# destination blocks.
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@@ -132,7 +132,7 @@ def test_reshape_and_cache(
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) -> None:
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if kv_cache_dtype == "fp8" and head_size % 16:
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pytest.skip()
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seed_everything(seed)
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current_platform.seed_everything(seed)
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torch.set_default_device(device)
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# Create a random slot mapping.
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num_slots = block_size * num_blocks
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@@ -224,7 +224,7 @@ def test_reshape_and_cache_flash(
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device: str,
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kv_cache_dtype: str,
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) -> None:
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seed_everything(seed)
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current_platform.seed_everything(seed)
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torch.set_default_device(device)
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# Create a random slot mapping.
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@@ -339,7 +339,7 @@ def test_swap_blocks(
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if kv_cache_dtype == "fp8" and head_size % 16:
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pytest.skip()
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seed_everything(seed)
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current_platform.seed_everything(seed)
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src_device = device if direction[0] == "cuda" else 'cpu'
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dst_device = device if direction[1] == "cuda" else 'cpu'
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@@ -408,7 +408,7 @@ def test_fp8_e4m3_conversion(
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seed: int,
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device: str,
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) -> None:
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seed_everything(seed)
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current_platform.seed_everything(seed)
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low = -224.0
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high = 224.0
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