tests/python/disco/test_custom_allreduce.py

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import enum
from functools import reduce
from itertools import product

import numpy as np
import pytest

import tvm
import tvm.testing
from tvm.runtime import DataType, ShapeTuple, disco
from tvm.runtime.disco import Session


class AllReduceStrategyType(enum.IntEnum):
    RING = 0
    ONESHOT = 1
    TWOSHOT = 2
    AUTO = 3


_shapes = [(2, 3), (3, 4), (128, 128)]

_strategies = [
    AllReduceStrategyType.RING,
    AllReduceStrategyType.ONESHOT,
    AllReduceStrategyType.TWOSHOT,
    AllReduceStrategyType.AUTO,
]

_ccl = [ccl for ccl in tvm.get_global_func("runtime.disco.compiled_ccl")() if ccl == "nccl"]


@pytest.mark.parametrize("shape", _shapes)
@pytest.mark.parametrize("ccl", _ccl)
@pytest.mark.parametrize("strategy", _strategies)
def test_allreduce(shape, ccl, strategy):
    devices = [0, 1]
    sess: Session = disco.ProcessSession(num_workers=len(devices))
    sess.init_ccl(ccl, *devices)

    num_elements = reduce(lambda x, y: x * y, shape)
    dtype = "float32"
    falloc_ipc_storage = sess.get_global_func("runtime.disco.cuda_ipc.alloc_storage")
    falloc_tensor = sess.get_global_func("vm.builtin.alloc_tensor")
    fallreduce = sess.get_global_func("runtime.disco.cuda_ipc.custom_allreduce")
    d_storage = sess.call_packed(falloc_ipc_storage, ShapeTuple(shape), DataType(dtype))
    d_input = sess.call_packed(falloc_tensor, d_storage, 0, ShapeTuple(shape), DataType(dtype))

    array_1 = np.arange(num_elements, dtype="float32").reshape(*shape)
    array_2 = np.arange(start=1, stop=-(num_elements - 1), step=-1, dtype="float32").reshape(*shape)
    d_input.debug_copy_from(0, array_1)
    d_input.debug_copy_from(1, array_2)
    d_output = sess.empty(shape, "float32")

    sess.call_packed(fallreduce, d_input, strategy, d_output)
    result_1 = d_output.debug_get_from_remote(0).numpy()
    result_2 = d_output.debug_get_from_remote(1).numpy()
    expected = np.add(array_1, array_2)
    np.testing.assert_equal(result_1, expected)
    np.testing.assert_equal(result_2, expected)


if __name__ == "__main__":
    for shape, strategy in product(_shapes, _strategies):
        test_allreduce(shape, "nccl", strategy)