transformers/examples/research_projects/seq2seq-distillation/_test_make_student.py
Stas Bekman f284089ec4
[examples tests on multigpu] resolving require_torch_non_multi_gpu_but_fix_me (#10561)
* batch 1

* this is tpu

* deebert attempt

* the rest
2021-03-08 11:11:40 -08:00

40 lines
1.6 KiB
Python

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