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[Core] remove cupy dependency (#3625)

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This commit is contained in:
youkaichao
2024-03-27 00:33:26 -07:00
committed by GitHub
parent e66b629c04
commit 8f44facddd
17 changed files with 506 additions and 223 deletions
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20
tests/distributed/test_comm_ops.py
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@@ -2,6 +2,8 @@
Run `pytest tests/distributed/test_comm_ops.py --forked`.
"""
import os
import pytest
import ray
import torch
@@ -16,6 +18,12 @@ from vllm.test_utils import (init_test_distributed_environment,
@ray.remote(num_gpus=1, max_calls=1)
def all_reduce_test_worker(tensor_parallel_size: int, rank: int,
distributed_init_port: str):
# it is important to delete the CUDA_VISIBLE_DEVICES environment variable
# so that each worker can see all the GPUs
# they will be able to set the device to the correct GPU
del os.environ["CUDA_VISIBLE_DEVICES"]
device = torch.device(f"cuda:{rank}")
torch.cuda.set_device(device)
init_test_distributed_environment(1, tensor_parallel_size, rank,
distributed_init_port)
num_elements = 8
@@ -32,6 +40,12 @@ def all_reduce_test_worker(tensor_parallel_size: int, rank: int,
@ray.remote(num_gpus=1, max_calls=1)
def all_gather_test_worker(tensor_parallel_size: int, rank: int,
distributed_init_port: str):
# it is important to delete the CUDA_VISIBLE_DEVICES environment variable
# so that each worker can see all the GPUs
# they will be able to set the device to the correct GPU
del os.environ["CUDA_VISIBLE_DEVICES"]
device = torch.device(f"cuda:{rank}")
torch.cuda.set_device(device)
init_test_distributed_environment(1, tensor_parallel_size, rank,
distributed_init_port)
num_dimensions = 3
@@ -54,6 +68,12 @@ def all_gather_test_worker(tensor_parallel_size: int, rank: int,
@ray.remote(num_gpus=1, max_calls=1)
def broadcast_tensor_dict_test_worker(tensor_parallel_size: int, rank: int,
distributed_init_port: str):
# it is important to delete the CUDA_VISIBLE_DEVICES environment variable
# so that each worker can see all the GPUs
# they will be able to set the device to the correct GPU
del os.environ["CUDA_VISIBLE_DEVICES"]
device = torch.device(f"cuda:{rank}")
torch.cuda.set_device(device)
init_test_distributed_environment(1, tensor_parallel_size, rank,
distributed_init_port)
test_dict = {