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45 lines
1.8 KiB
Python
45 lines
1.8 KiB
Python
import tempfile
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import unittest
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from make_student import create_student_by_copying_alternating_layers
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from transformers import AutoConfig
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from transformers.file_utils import cached_property
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from transformers.testing_utils import require_torch, require_torch_non_multi_gpu_but_fix_me
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TINY_BART = "sshleifer/bart-tiny-random"
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TINY_T5 = "patrickvonplaten/t5-tiny-random"
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@require_torch
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class MakeStudentTester(unittest.TestCase):
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@cached_property
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def teacher_config(self):
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return AutoConfig.from_pretrained(TINY_BART)
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@require_torch_non_multi_gpu_but_fix_me
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def test_valid_t5(self):
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student, *_ = create_student_by_copying_alternating_layers(TINY_T5, tempfile.mkdtemp(), e=1, d=1)
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self.assertEqual(student.config.num_hidden_layers, 1)
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@require_torch_non_multi_gpu_but_fix_me
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def test_asymmetric_t5(self):
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student, *_ = create_student_by_copying_alternating_layers(TINY_T5, tempfile.mkdtemp(), e=1, d=None)
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@require_torch_non_multi_gpu_but_fix_me
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def test_same_decoder_small_encoder(self):
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student, *_ = create_student_by_copying_alternating_layers(TINY_BART, tempfile.mkdtemp(), e=1, d=None)
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self.assertEqual(student.config.encoder_layers, 1)
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self.assertEqual(student.config.decoder_layers, self.teacher_config.encoder_layers)
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@require_torch_non_multi_gpu_but_fix_me
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def test_small_enc_small_dec(self):
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student, *_ = create_student_by_copying_alternating_layers(TINY_BART, tempfile.mkdtemp(), e=1, d=1)
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self.assertEqual(student.config.encoder_layers, 1)
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self.assertEqual(student.config.decoder_layers, 1)
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@require_torch_non_multi_gpu_but_fix_me
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def test_raises_assert(self):
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with self.assertRaises(AssertionError):
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create_student_by_copying_alternating_layers(TINY_BART, tempfile.mkdtemp(), e=None, d=None)
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