mirror of https://github.com/hpcaitech/ColossalAI
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
34 lines
1.2 KiB
34 lines
1.2 KiB
import torch
|
|
import torch.distributed as dist
|
|
from torch import Tensor
|
|
from torch.distributed import ProcessGroup
|
|
|
|
|
|
def assert_equal(a: Tensor, b: Tensor):
|
|
assert torch.all(a == b), f'expected a and b to be equal but they are not, {a} vs {b}'
|
|
|
|
|
|
def assert_not_equal(a: Tensor, b: Tensor):
|
|
assert not torch.all(a == b), f'expected a and b to be not equal but they are, {a} vs {b}'
|
|
|
|
|
|
def assert_close(a: Tensor, b: Tensor, rtol: float = 1e-5, atol: float = 1e-8):
|
|
assert torch.allclose(a, b, rtol=rtol, atol=atol), f'expected a and b to be close but they are not, {a} vs {b}'
|
|
|
|
|
|
def assert_close_loose(a: Tensor, b: Tensor, rtol: float = 1e-3, atol: float = 1e-3):
|
|
assert_close(a, b, rtol, atol)
|
|
|
|
|
|
def assert_equal_in_group(tensor: Tensor, process_group: ProcessGroup = None):
|
|
# all gather tensors from different ranks
|
|
world_size = dist.get_world_size(process_group)
|
|
tensor_list = [torch.empty_like(tensor) for _ in range(world_size)]
|
|
dist.all_gather(tensor_list, tensor, group=process_group)
|
|
|
|
# check if they are equal one by one
|
|
for i in range(world_size - 1):
|
|
a = tensor_list[i]
|
|
b = tensor_list[i + 1]
|
|
assert torch.all(a == b), f'expected tensors on rank {i} and {i+1} to be equal but they are not, {a} vs {b}'
|