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

import pytest
import torch
from checks_2d.check_layer_2d import (
    check_classifier_given_embed_weight,
    check_classifier_no_given_weight,
    check_embed,
    check_layernorm,
    check_linear,
    check_loss,
    check_patch_embed,
    check_vocab_parallel_classifier_given_embed_weight,
    check_vocab_parallel_classifier_no_given_weight,
    check_vocab_parallel_embed,
    check_vocab_parallel_loss,
)
from checks_2d.check_operation_2d import check_AB, check_ABT, check_ATB

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="2d")),
)


def check_operations():
    check_AB()
    check_ABT()
    check_ATB()


def check_layer():
    check_linear()
    check_layernorm()
    check_embed()
    check_patch_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_loss()
    check_vocab_parallel_loss()


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

    torch.backends.cuda.matmul.allow_tf32 = False
    torch.backends.cudnn.allow_tf32 = False
    torch.backends.cudnn.deterministic = True
    # check_operations()
    check_layer()
    gpc.destroy()
    torch.cuda.empty_cache()


@pytest.mark.dist
@rerun_if_address_is_in_use()
def test_2d():
    spawn(check_layer_and_operation, 4)


if __name__ == "__main__":
    test_2d()
