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from megatron.core.tensor_parallel.cross_entropy import vocab_parallel_cross_entropy
import torch
from tests.test_utilities import Utils
import numpy as np
def test_vocab_parallel_cross_entropy():
Utils.initialize_model_parallel(4,2)
vocab_parallel_logits = torch.range(0,7).repeat(16,4).cuda()
target = torch.arange(0,32,2).cuda()
output = vocab_parallel_cross_entropy(vocab_parallel_logits, target)
expected_output = torch.tensor([10.2309, 8.2309, 6.2309, 4.2309, 10.2309, 8.2309, 6.2309, 4.2309,
10.2309, 8.2309, 6.2309, 4.2309, 10.2309, 8.2309, 6.2309, 4.2309]).cuda()
assert(torch.equal(torch.round(expected_output), torch.round(output)))
Utils.destroy_model_parallel() |