File size: 3,198 Bytes
901e06a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | import torch
import numpy as np
import unittest
from fairseq.modules.rotary_positional_embedding import apply_rotary_pos_emb
from fairseq.modules import RotaryPositionalEmbedding
class TestRotaryPositionalEmbedding(unittest.TestCase):
def setUp(self) -> None:
self.T = 3
self.B = 1
self.C = 2
torch.manual_seed(0)
self.sample = torch.randn(self.T, self.B, self.C) # TBC
self.rope_pos_emd = RotaryPositionalEmbedding(dim=self.C)
def test_forward(self):
expected_cos = torch.tensor(
[[[[1.0000, 1.0000]]], [[[0.5403, 0.5403]]], [[[-0.4161, -0.4161]]]]
)
expected_sin = torch.tensor(
[[[[0.0000, 0.0000]]], [[[0.8415, 0.8415]]], [[[0.9093, 0.9093]]]]
)
cos, sin = self.rope_pos_emd(self.sample, self.T)
self.assertTrue(
np.allclose(
expected_cos.cpu().detach().numpy(),
cos.cpu().detach().numpy(),
atol=1e-4,
)
)
self.assertTrue(
np.allclose(
expected_sin.cpu().detach().numpy(),
sin.cpu().detach().numpy(),
atol=1e-4,
)
)
def test_apply_rotary_pos_emb(self):
cos, sin = self.rope_pos_emd(self.sample, self.T)
query = self.sample.view(self.T, self.B, 1, self.C)
expected_query = torch.tensor(
[[[[1.5410, -0.2934]]], [[[-1.6555, -1.5263]]], [[[1.7231, -0.4041]]]]
)
new_query, new_key = apply_rotary_pos_emb(query, query, cos, sin)
self.assertTrue(
np.allclose(
expected_query.cpu().detach().numpy(),
new_query.cpu().detach().numpy(),
atol=1e-4,
)
)
self.assertTrue(
np.allclose(
expected_query.cpu().detach().numpy(),
new_key.cpu().detach().numpy(),
atol=1e-4,
)
)
def test_jit_compile_rope_module(self):
module_scripted = torch.jit.script(self.rope_pos_emd)
apply_rotary_scripted = torch.jit.script(apply_rotary_pos_emb)
# Test several different lengths
for T in [3, 5, 10]:
sample = torch.randn(T, self.B, self.C)
# Run forward pass with the original module
cos_original, sin_original = self.rope_pos_emd(sample, T)
query = sample.view(T, self.B, 1, self.C)
new_query, new_key = apply_rotary_pos_emb(query, query, cos_original, sin_original)
# Run forward pass with the scripted module
cos_scripted, sin_scripted = module_scripted(sample, T)
new_query_scripted, new_key_scripted = apply_rotary_scripted(query, query, cos_scripted, sin_scripted)
# Ensure the outputs are the same
self.assertTrue(torch.allclose(cos_original, cos_scripted))
self.assertTrue(torch.allclose(sin_original, sin_scripted))
self.assertTrue(torch.allclose(new_query, new_query_scripted))
self.assertTrue(torch.allclose(new_key, new_key_scripted))
if __name__ == "__main__":
unittest.main()
|