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Clean push to hub API (#12187)

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* Clean push to hub API

* Create working dir if it does not exist

* Different tweak

* New API + all models + test Flax

* Adds the Trainer clean up

* Update src/transformers/file_utils.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments

* (nit) output types

* No need to set clone_from when folder exists

* Update src/transformers/trainer.py

Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Add generated_from_trainer tag

* Update to new version

* Fixes

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Julien Chaumond <julien@huggingface.co>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
This commit is contained in:
Sylvain Gugger
2021-06-23 10:11:19 -04:00
committed by GitHub
parent 625f512d5e
commit 53c60babe4
17 changed files with 368 additions and 159 deletions
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77
tests/test_modeling_flax_common.py
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@@ -16,14 +16,25 @@ import copy
import inspect
import random
import tempfile
import unittest
from typing import List, Tuple
import numpy as np
import transformers
from transformers import is_flax_available, is_torch_available
from huggingface_hub import HfApi
from requests.exceptions import HTTPError
from transformers import BertConfig, FlaxBertModel, is_flax_available, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
from transformers.testing_utils import (
ENDPOINT_STAGING,
PASS,
USER,
is_pt_flax_cross_test,
is_staging_test,
require_flax,
slow,
)
if is_flax_available():
@@ -504,3 +515,65 @@ class FlaxModelTesterMixin:
list(self_attentions[0].shape[-3:]),
[self.model_tester.num_attention_heads, encoder_seq_length, encoder_key_length],
)
@require_flax
@is_staging_test
class FlaxModelPushToHubTester(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls._api = HfApi(endpoint=ENDPOINT_STAGING)
cls._token = cls._api.login(username=USER, password=PASS)
@classmethod
def tearDownClass(cls):
try:
cls._api.delete_repo(token=cls._token, name="test-model-flax")
except HTTPError:
pass
try:
cls._api.delete_repo(token=cls._token, name="test-model-flax-org", organization="valid_org")
except HTTPError:
pass
def test_push_to_hub(self):
config = BertConfig(
vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37
)
model = FlaxBertModel(config)
with tempfile.TemporaryDirectory() as tmp_dir:
model.save_pretrained(
os.path.join(tmp_dir, "test-model-flax"), push_to_hub=True, use_auth_token=self._token
)
new_model = FlaxBertModel.from_pretrained(f"{USER}/test-model-flax")
base_params = flatten_dict(unfreeze(model.params))
new_params = flatten_dict(unfreeze(new_model.params))
for key in base_params.keys():
max_diff = (base_params[key] - new_params[key]).sum().item()
self.assertLessEqual(max_diff, 1e-3, msg=f"{key} not identical")
def test_push_to_hub_in_organization(self):
config = BertConfig(
vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37
)
model = FlaxBertModel(config)
with tempfile.TemporaryDirectory() as tmp_dir:
model.save_pretrained(
os.path.join(tmp_dir, "test-model-flax-org"),
push_to_hub=True,
use_auth_token=self._token,
organization="valid_org",
)
new_model = FlaxBertModel.from_pretrained("valid_org/test-model-flax-org")
base_params = flatten_dict(unfreeze(model.params))
new_params = flatten_dict(unfreeze(new_model.params))
for key in base_params.keys():
max_diff = (base_params[key] - new_params[key]).sum().item()
self.assertLessEqual(max_diff, 1e-3, msg=f"{key} not identical")