@@ -20,8 +20,7 @@
|
||||
import functools
|
||||
import os
|
||||
import signal
|
||||
from collections.abc import Sequence
|
||||
from typing import Callable
|
||||
from collections.abc import Callable, Sequence
|
||||
|
||||
import torch
|
||||
import torch.nn.functional as F
|
||||
@@ -30,8 +29,7 @@ from typing_extensions import ParamSpec
|
||||
_P = ParamSpec("_P")
|
||||
|
||||
|
||||
def fork_new_process_for_each_test(
|
||||
f: Callable[_P, None]) -> Callable[_P, None]:
|
||||
def fork_new_process_for_each_test(f: Callable[_P, None]) -> Callable[_P, None]:
|
||||
"""Decorator to fork a new process for each test function.
|
||||
See https://github.com/vllm-project/vllm/issues/7053 for more details.
|
||||
"""
|
||||
@@ -42,6 +40,7 @@ def fork_new_process_for_each_test(
|
||||
# to avoid sending SIGTERM to the parent process
|
||||
os.setpgrp()
|
||||
from _pytest.outcomes import Skipped
|
||||
|
||||
pid = os.fork()
|
||||
print(f"Fork a new process to run a test {pid}")
|
||||
if pid == 0:
|
||||
@@ -53,6 +52,7 @@ def fork_new_process_for_each_test(
|
||||
os._exit(0)
|
||||
except Exception:
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
os._exit(1)
|
||||
else:
|
||||
@@ -66,8 +66,7 @@ def fork_new_process_for_each_test(
|
||||
os.killpg(pgid, signal.SIGTERM)
|
||||
# restore the signal handler
|
||||
signal.signal(signal.SIGTERM, old_signal_handler)
|
||||
assert _exitcode == 0, (f"function {f} failed when called with"
|
||||
f" args {args} and kwargs {kwargs}")
|
||||
assert _exitcode == 0, f"function {f} failed when called with args {args} and kwargs {kwargs}"
|
||||
|
||||
return wrapper
|
||||
|
||||
@@ -89,18 +88,16 @@ def check_embeddings_close(
|
||||
) -> None:
|
||||
assert len(embeddings_0_lst) == len(embeddings_1_lst)
|
||||
|
||||
for prompt_idx, (embeddings_0, embeddings_1) in enumerate(
|
||||
zip(embeddings_0_lst, embeddings_1_lst)):
|
||||
assert len(embeddings_0) == len(embeddings_1), (
|
||||
f"Length mismatch: {len(embeddings_0)} vs. {len(embeddings_1)}")
|
||||
for prompt_idx, (embeddings_0, embeddings_1) in enumerate(zip(embeddings_0_lst, embeddings_1_lst)):
|
||||
assert len(embeddings_0) == len(embeddings_1), f"Length mismatch: {len(embeddings_0)} vs. {len(embeddings_1)}"
|
||||
|
||||
sim = F.cosine_similarity(torch.tensor(embeddings_0),
|
||||
torch.tensor(embeddings_1),
|
||||
dim=0)
|
||||
sim = F.cosine_similarity(torch.tensor(embeddings_0), torch.tensor(embeddings_1), dim=0)
|
||||
|
||||
fail_msg = (f"Test{prompt_idx}:"
|
||||
f"\nCosine similarity: \t{sim:.4f}"
|
||||
f"\n{name_0}:\t{embeddings_0[:16]!r}"
|
||||
f"\n{name_1}:\t{embeddings_1[:16]!r}")
|
||||
fail_msg = (
|
||||
f"Test{prompt_idx}:"
|
||||
f"\nCosine similarity: \t{sim:.4f}"
|
||||
f"\n{name_0}:\t{embeddings_0[:16]!r}"
|
||||
f"\n{name_1}:\t{embeddings_1[:16]!r}"
|
||||
)
|
||||
|
||||
assert sim >= 1 - tol, fail_msg
|
||||
|
||||
Reference in New Issue
Block a user