wehub-resource-sync
41 lines
927 B
Python
41 lines
927 B
Python
"""
|
|
Llama module tests
|
|
"""
|
|
|
|
import os
|
|
import unittest
|
|
|
|
import numpy as np
|
|
|
|
from txtai.vectors import VectorsFactory
|
|
|
|
|
|
class TestLlamaCpp(unittest.TestCase):
|
|
"""
|
|
llama.cpp vectors tests
|
|
"""
|
|
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
"""
|
|
Create LlamaCpp instance.
|
|
"""
|
|
|
|
cls.model = VectorsFactory.create({"path": "nomic-ai/nomic-embed-text-v1.5-GGUF/nomic-embed-text-v1.5.Q2_K.gguf"}, None)
|
|
|
|
def testIndex(self):
|
|
"""
|
|
Test indexing with LlamaCpp vectors
|
|
"""
|
|
|
|
ids, dimension, batches, stream = self.model.index([(0, "test", None)])
|
|
|
|
self.assertEqual(len(ids), 1)
|
|
self.assertEqual(dimension, 768)
|
|
self.assertEqual(batches, 1)
|
|
self.assertIsNotNone(os.path.exists(stream))
|
|
|
|
# Test shape of serialized embeddings
|
|
with open(stream, "rb") as queue:
|
|
self.assertEqual(np.load(queue).shape, (1, 768))
|