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[CI/Build] Avoid CUDA initialization (#8534)

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This commit is contained in:
Cyrus Leung
2024-09-18 18:38:11 +08:00
committed by GitHub
parent e351572900
commit 6ffa3f314c
55 changed files with 256 additions and 256 deletions
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10
tests/kernels/test_fp8_quant.py
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@@ -5,6 +5,7 @@ import vllm._custom_ops as ops
from tests.kernels.quant_utils import (FP8_DTYPE,
ref_dynamic_per_tensor_fp8_quant,
ref_dynamic_per_token_quant)
from vllm.utils import seed_everything
DTYPES = [torch.half, torch.bfloat16, torch.float]
HIDDEN_SIZES = [1, 2, 3, 4, 16, 67, 768, 2048, 5120, 5137, 8192,
@@ -24,8 +25,7 @@ SEEDS = [0]
def test_dynamic_per_token_fp8_quant(num_tokens: int, hidden_size: int,
dtype: torch.dtype, scale_ub: bool,
seed: int) -> None:
torch.random.manual_seed(seed)
torch.cuda.manual_seed(seed)
seed_everything(seed)
x = torch.rand(num_tokens, hidden_size, dtype=dtype,
device="cuda") + 1e-6 # avoid nans
@@ -49,8 +49,7 @@ def test_dynamic_per_token_fp8_quant(num_tokens: int, hidden_size: int,
@torch.inference_mode()
def test_dynamic_per_tensor_fp8_quant(num_tokens: int, hidden_size: int,
dtype: torch.dtype, seed: int) -> None:
torch.random.manual_seed(seed)
torch.cuda.manual_seed(seed)
seed_everything(seed)
x = torch.rand(num_tokens, hidden_size, dtype=dtype, device="cuda")
@@ -67,8 +66,7 @@ def test_dynamic_per_tensor_fp8_quant(num_tokens: int, hidden_size: int,
@torch.inference_mode()
@pytest.mark.parametrize("seed", SEEDS)
def test_fp8_quant_large(seed: int) -> None:
torch.random.manual_seed(seed)
torch.cuda.manual_seed(seed)
seed_everything(seed)
num_tokens = 1024000 # Mistral-Nemo's max_position_embeddings
hidden_size = 1152 # Smallest hidden_size to reproduce the error