Remove hardcoded device="cuda" to support more devices (#2503)

Co-authored-by: Jiang Li <jiang1.li@intel.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>
This commit is contained in:
Kunshang Ji
2024-02-02 07:46:39 +08:00
committed by GitHub
parent c410f5d020
commit 96b6f475dd
32 changed files with 343 additions and 292 deletions

View File

@@ -13,7 +13,9 @@ NUM_HEADS = [7, 17] # Arbitrary values for testing
BATCH_SIZES = [1, 5] # Arbitrary values for testing
SEQ_LENS = [11, 8192] # Arbitrary values for testing
SEEDS = [0]
DEVICES = [i for i in range(1 if torch.cuda.device_count() == 1 else 2)]
CUDA_DEVICES = [
f"cuda:{i}" for i in range(1 if torch.cuda.device_count() == 1 else 2)
]
@pytest.mark.parametrize("is_neox_style", IS_NEOX_STYLE)
@@ -24,7 +26,7 @@ DEVICES = [i for i in range(1 if torch.cuda.device_count() == 1 else 2)]
@pytest.mark.parametrize("rotary_dim", ROTARY_DIMS)
@pytest.mark.parametrize("dtype", DTYPES)
@pytest.mark.parametrize("seed", SEEDS)
@pytest.mark.parametrize("device", DEVICES)
@pytest.mark.parametrize("device", CUDA_DEVICES)
@torch.inference_mode()
def test_rotary_embedding(
is_neox_style: bool,
@@ -35,28 +37,26 @@ def test_rotary_embedding(
rotary_dim: Optional[int],
dtype: torch.dtype,
seed: int,
device: int,
device: str,
max_position: int = 8192,
base: int = 10000,
) -> None:
if rotary_dim is None:
rotary_dim = head_size
torch.random.manual_seed(seed)
torch.cuda.manual_seed(seed)
gpu_id = f"cuda:{device}"
if torch.cuda.is_available():
torch.cuda.manual_seed(seed)
torch.set_default_device(device)
if rotary_dim is None:
rotary_dim = head_size
rope = get_rope(head_size, rotary_dim, max_position, base, is_neox_style)
rope = rope.to(dtype=dtype, device=gpu_id)
rope = rope.to(dtype=dtype)
positions = torch.randint(0,
max_position, (batch_size, seq_len),
device=gpu_id)
positions = torch.randint(0, max_position, (batch_size, seq_len))
query = torch.randn(batch_size,
seq_len,
num_heads * head_size,
dtype=dtype,
device=gpu_id)
dtype=dtype)
key = torch.randn_like(query)
# NOTE(woosuk): The reference implementation should be executed first