Clean Trainer tests and datasets dep (#8268)
This commit is contained in:
@@ -77,7 +77,6 @@ jobs:
|
||||
- v0.4-torch_and_tf-{{ checksum "setup.py" }}
|
||||
- v0.4-{{ checksum "setup.py" }}
|
||||
- run: pip install --upgrade pip
|
||||
- run: pip install git+https://github.com/huggingface/datasets
|
||||
- run: pip install .[sklearn,tf-cpu,torch,testing]
|
||||
- save_cache:
|
||||
key: v0.4-{{ checksum "setup.py" }}
|
||||
@@ -102,7 +101,6 @@ jobs:
|
||||
- v0.4-torch-{{ checksum "setup.py" }}
|
||||
- v0.4-{{ checksum "setup.py" }}
|
||||
- run: pip install --upgrade pip
|
||||
- run: pip install git+https://github.com/huggingface/datasets
|
||||
- run: pip install .[sklearn,torch,testing]
|
||||
- save_cache:
|
||||
key: v0.4-torch-{{ checksum "setup.py" }}
|
||||
@@ -129,7 +127,6 @@ jobs:
|
||||
- v0.4-tf-{{ checksum "setup.py" }}
|
||||
- v0.4-{{ checksum "setup.py" }}
|
||||
- run: pip install --upgrade pip
|
||||
- run: pip install git+https://github.com/huggingface/datasets
|
||||
- run: pip install .[sklearn,tf-cpu,testing]
|
||||
- save_cache:
|
||||
key: v0.4-tf-{{ checksum "setup.py" }}
|
||||
@@ -154,7 +151,6 @@ jobs:
|
||||
- v0.4-flax-{{ checksum "setup.py" }}
|
||||
- v0.4-{{ checksum "setup.py" }}
|
||||
- run: pip install --upgrade pip
|
||||
- run: pip install git+https://github.com/huggingface/datasets
|
||||
- run: sudo pip install .[flax,sklearn,torch,testing]
|
||||
- save_cache:
|
||||
key: v0.4-flax-{{ checksum "setup.py" }}
|
||||
@@ -179,7 +175,6 @@ jobs:
|
||||
- v0.4-torch-{{ checksum "setup.py" }}
|
||||
- v0.4-{{ checksum "setup.py" }}
|
||||
- run: pip install --upgrade pip
|
||||
- run: pip install git+https://github.com/huggingface/datasets
|
||||
- run: pip install .[sklearn,torch,testing]
|
||||
- save_cache:
|
||||
key: v0.4-torch-{{ checksum "setup.py" }}
|
||||
@@ -204,7 +199,6 @@ jobs:
|
||||
- v0.4-tf-{{ checksum "setup.py" }}
|
||||
- v0.4-{{ checksum "setup.py" }}
|
||||
- run: pip install --upgrade pip
|
||||
- run: pip install git+https://github.com/huggingface/datasets
|
||||
- run: pip install .[sklearn,tf-cpu,testing]
|
||||
- save_cache:
|
||||
key: v0.4-tf-{{ checksum "setup.py" }}
|
||||
|
||||
@@ -18,13 +18,13 @@ import os
|
||||
import tempfile
|
||||
import unittest
|
||||
|
||||
import datasets
|
||||
import numpy as np
|
||||
|
||||
from transformers import AutoTokenizer, EvaluationStrategy, PretrainedConfig, TrainingArguments, is_torch_available
|
||||
from transformers.file_utils import WEIGHTS_NAME
|
||||
from transformers.testing_utils import (
|
||||
get_tests_dir,
|
||||
require_datasets,
|
||||
require_optuna,
|
||||
require_sentencepiece,
|
||||
require_tokenizers,
|
||||
@@ -340,7 +340,10 @@ class TrainerIntegrationTest(unittest.TestCase):
|
||||
self.assertTrue(np.array_equal(labels[0], trainer.eval_dataset.ys[0]))
|
||||
self.assertTrue(np.array_equal(labels[1], trainer.eval_dataset.ys[1]))
|
||||
|
||||
@require_datasets
|
||||
def test_trainer_with_datasets(self):
|
||||
import datasets
|
||||
|
||||
np.random.seed(42)
|
||||
x = np.random.normal(size=(64,)).astype(np.float32)
|
||||
y = 2.0 * x + 3.0 + np.random.normal(scale=0.1, size=(64,))
|
||||
@@ -658,7 +661,9 @@ class TrainerHyperParameterIntegrationTest(unittest.TestCase):
|
||||
def hp_name(trial):
|
||||
return MyTrialShortNamer.shortname(trial.params)
|
||||
|
||||
with tempfile.TemporaryDirectory() as tmp_dir:
|
||||
trainer = get_regression_trainer(
|
||||
output_dir=tmp_dir,
|
||||
learning_rate=0.1,
|
||||
logging_steps=1,
|
||||
evaluation_strategy=EvaluationStrategy.EPOCH,
|
||||
|
||||
Reference in New Issue
Block a user