[github CI] add a multi-gpu job for all example tests (#8341)

* add a multi-gpu job for all example tests

* run only ported tests

* rename

* explain why env is re-activated on each step

* mark all unported/checked tests with @require_torch_non_multigpu_but_fix_me

* style

* Apply suggestions from code review

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
This commit is contained in:
Stas Bekman
2020-11-09 12:47:38 -08:00
committed by GitHub
parent a39218b75b
commit 190df58560
14 changed files with 99 additions and 16 deletions

View File

@@ -4,7 +4,7 @@ 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
from transformers.testing_utils import require_torch, require_torch_non_multigpu_but_fix_me
TINY_BART = "sshleifer/bart-tiny-random"
@@ -17,23 +17,28 @@ class MakeStudentTester(unittest.TestCase):
def teacher_config(self):
return AutoConfig.from_pretrained(TINY_BART)
@require_torch_non_multigpu_but_fix_me
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)
@require_torch_non_multigpu_but_fix_me
def test_asymmetric_t5(self):
student, *_ = create_student_by_copying_alternating_layers(TINY_T5, tempfile.mkdtemp(), e=1, d=None)
@require_torch_non_multigpu_but_fix_me
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)
@require_torch_non_multigpu_but_fix_me
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)
@require_torch_non_multigpu_but_fix_me
def test_raises_assert(self):
with self.assertRaises(AssertionError):
create_student_by_copying_alternating_layers(TINY_BART, tempfile.mkdtemp(), e=None, d=None)