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from megatron.core.tensor_parallel.data import broadcast_data
import torch
from tests.test_utilities import Utils
def test_broadcast_data():
Utils.initialize_model_parallel(2,4)
input_data = {
0 : torch.ones((8,8)).cuda() * 0.0,
1 : torch.ones((8,8)).cuda() * 1.0,
2 : torch.ones((8,8)).cuda() * 2.0,
3 : torch.ones((8,8)).cuda() * 3.0,
4 : torch.ones((8,8)).cuda() * 4.0,
5 : torch.ones((8,8)).cuda() * 5.0,
6 : torch.ones((8,8)).cuda() * 6.0,
7 : torch.ones((8,8)).cuda() * 7.0
}
dtype = torch.float32
actual_output = broadcast_data([0,1],input_data, dtype)
assert(torch.equal(actual_output[0], input_data[0]))
assert(torch.equal(actual_output[1], input_data[1]))
Utils.destroy_model_parallel() |