#!/usr/bin/env python
# -*- encoding: utf-8 -*-

import pytest
import torch
from checks_1d.check_layer_1d import *

from colossalai.legacy.core import global_context as gpc
from colossalai.legacy.initialize import launch
from colossalai.logging import disable_existing_loggers
from colossalai.testing import rerun_if_address_is_in_use, spawn

CONFIG = dict(
    parallel=dict(pipeline=dict(size=1), tensor=dict(size=4, mode="1d")),
)


def check_layer(rank, world_size, port):
    disable_existing_loggers()
    launch(config=CONFIG, rank=rank, world_size=world_size, host="localhost", port=port, backend="nccl")

    check_linear_col()
    check_linear_row()
    check_embed()
    check_vocab_parallel_embed()
    check_classifier_no_given_weight()
    check_vocab_parallel_classifier_no_given_weight()
    check_classifier_given_embed_weight()
    check_vocab_parallel_classifier_given_embed_weight()
    check_vocab_parallel_loss()

    check_linear_row_stream_inference()

    gpc.destroy()
    torch.cuda.empty_cache()


@pytest.mark.dist
@rerun_if_address_is_in_use()
def test_1d():
    spawn(check_layer, 4)


if __name__ == "__main__":
    test_1d()
