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Fix no_trainer CI (#18242)

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* Fix all tests
This commit is contained in:
Zachary Mueller
2022-07-21 14:44:57 -04:00
committed by GitHub
parent 561b9a8c00
commit 99eb9b523f
2 changed files with 46 additions and 14 deletions
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35
examples/pytorch/test_accelerate_examples.py
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@@ -19,14 +19,14 @@ import json
import logging
import os
import shutil
import subprocess
import sys
import tempfile
from unittest import mock
import torch
from accelerate.utils import write_basic_config
from transformers.testing_utils import TestCasePlus, get_gpu_count, slow, torch_device
from transformers.testing_utils import TestCasePlus, get_gpu_count, run_command, slow, torch_device
from transformers.utils import is_apex_available
@@ -75,6 +75,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
def tearDownClass(cls):
shutil.rmtree(cls.tmpdir)
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_glue_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f"""
@@ -94,12 +95,13 @@ class ExamplesTestsNoTrainer(TestCasePlus):
if is_cuda_and_apex_available():
testargs.append("--fp16")
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertGreaterEqual(result["eval_accuracy"], 0.75)
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "epoch_0")))
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "glue_no_trainer")))
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_clm_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f"""
@@ -120,12 +122,13 @@ class ExamplesTestsNoTrainer(TestCasePlus):
# Skipping because there are not enough batches to train the model + would need a drop_last to work.
return
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertLess(result["perplexity"], 100)
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "epoch_0")))
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "clm_no_trainer")))
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_mlm_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f"""
@@ -139,12 +142,13 @@ class ExamplesTestsNoTrainer(TestCasePlus):
--with_tracking
""".split()
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertLess(result["perplexity"], 42)
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "epoch_0")))
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "mlm_no_trainer")))
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_ner_no_trainer(self):
# with so little data distributed training needs more epochs to get the score on par with 0/1 gpu
epochs = 7 if get_gpu_count() > 1 else 2
@@ -165,13 +169,14 @@ class ExamplesTestsNoTrainer(TestCasePlus):
--with_tracking
""".split()
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertGreaterEqual(result["eval_accuracy"], 0.75)
self.assertLess(result["train_loss"], 0.5)
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "epoch_0")))
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "ner_no_trainer")))
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_squad_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f"""
@@ -190,7 +195,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
--with_tracking
""".split()
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
# Because we use --version_2_with_negative the testing script uses SQuAD v2 metrics.
self.assertGreaterEqual(result["eval_f1"], 28)
@@ -198,6 +203,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "epoch_0")))
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "qa_no_trainer")))
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_swag_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f"""
@@ -214,12 +220,13 @@ class ExamplesTestsNoTrainer(TestCasePlus):
--with_tracking
""".split()
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertGreaterEqual(result["eval_accuracy"], 0.8)
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "swag_no_trainer")))
@slow
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_summarization_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f"""
@@ -237,7 +244,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
--with_tracking
""".split()
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertGreaterEqual(result["eval_rouge1"], 10)
self.assertGreaterEqual(result["eval_rouge2"], 2)
@@ -247,6 +254,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "summarization_no_trainer")))
@slow
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_translation_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f"""
@@ -268,7 +276,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
--with_tracking
""".split()
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertGreaterEqual(result["eval_bleu"], 30)
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "epoch_0")))
@@ -292,10 +300,11 @@ class ExamplesTestsNoTrainer(TestCasePlus):
--checkpointing_steps epoch
""".split()
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertGreaterEqual(result["eval_overall_accuracy"], 0.10)
@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
def test_run_image_classification_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f"""
@@ -316,9 +325,9 @@ class ExamplesTestsNoTrainer(TestCasePlus):
if is_cuda_and_apex_available():
testargs.append("--fp16")
_ = subprocess.run(self._launch_args + testargs, stdout=subprocess.PIPE)
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
# The base model scores a 25%
self.assertGreaterEqual(result["eval_accuracy"], 0.625)
self.assertGreaterEqual(result["eval_accuracy"], 0.6)
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "step_1")))
self.assertTrue(os.path.exists(os.path.join(tmp_dir, "image_classification_no_trainer")))