You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
40 lines
1.8 KiB
Python
40 lines
1.8 KiB
Python
import time
|
|
|
|
import hivemind
|
|
import pytest
|
|
import torch
|
|
from test_utils import *
|
|
|
|
from petals.client import DistributedBloomConfig
|
|
from petals.data_structures import UID_DELIMITER
|
|
from petals.dht_utils import get_remote_sequence
|
|
from petals.server.handler import CACHE_TOKENS_AVAILABLE
|
|
|
|
|
|
@pytest.mark.forked
|
|
def test_server_info(block_from: int = 22, block_to: int = 24, max_length: int = 100, max_length2: int = 50):
|
|
dht = hivemind.DHT(initial_peers=INITIAL_PEERS, client_mode=True, start=True)
|
|
config = DistributedBloomConfig.from_pretrained(MODEL_NAME)
|
|
|
|
blocks1 = get_remote_sequence(dht, block_from, block_to, config, f"{MODEL_NAME}{UID_DELIMITER}")
|
|
blocks2 = get_remote_sequence(dht, block_to - 1, block_to, config, f"{MODEL_NAME}{UID_DELIMITER}")
|
|
info_before = blocks1.sequence_manager.rpc_info
|
|
|
|
with blocks1.inference_session(max_length=max_length) as sess:
|
|
sess.step(torch.randn(1, 1, config.hidden_size))
|
|
blocks1.sequence_manager._rpc_info = None # invalidate cache
|
|
info_inside = blocks1.sequence_manager.rpc_info
|
|
|
|
with blocks2.inference_session(max_length=max_length2) as sess2:
|
|
sess2.step(torch.randn(1, 1, config.hidden_size))
|
|
blocks2.sequence_manager._rpc_info = None # invalidate cache
|
|
info_inside2 = blocks2.sequence_manager.rpc_info
|
|
|
|
time.sleep(0.1)
|
|
blocks1.sequence_manager._rpc_info = None # invalidate cache
|
|
info_after = blocks1.sequence_manager.rpc_info
|
|
|
|
assert info_before[CACHE_TOKENS_AVAILABLE] == info_after[CACHE_TOKENS_AVAILABLE]
|
|
assert info_before[CACHE_TOKENS_AVAILABLE] - info_inside[CACHE_TOKENS_AVAILABLE] == max_length * len(blocks1)
|
|
assert info_inside[CACHE_TOKENS_AVAILABLE] - info_inside2[CACHE_TOKENS_AVAILABLE] == max_length2 * len(blocks2)
|