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import tempfile |
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import unittest |
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import numpy as np |
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from huggingface_hub import HfFolder, delete_repo |
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from requests.exceptions import HTTPError |
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from transformers import BertConfig, is_flax_available |
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from transformers.testing_utils import TOKEN, USER, is_staging_test, require_flax |
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if is_flax_available(): |
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import os |
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from flax.core.frozen_dict import unfreeze |
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from flax.traverse_util import flatten_dict |
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from transformers import FlaxBertModel |
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os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.12" |
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@require_flax |
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@is_staging_test |
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class FlaxModelPushToHubTester(unittest.TestCase): |
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@classmethod |
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def setUpClass(cls): |
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cls._token = TOKEN |
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HfFolder.save_token(TOKEN) |
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@classmethod |
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def tearDownClass(cls): |
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try: |
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delete_repo(token=cls._token, repo_id="test-model-flax") |
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except HTTPError: |
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pass |
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try: |
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delete_repo(token=cls._token, repo_id="valid_org/test-model-flax-org") |
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except HTTPError: |
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pass |
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def test_push_to_hub(self): |
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config = BertConfig( |
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vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37 |
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) |
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model = FlaxBertModel(config) |
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model.push_to_hub("test-model-flax", use_auth_token=self._token) |
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new_model = FlaxBertModel.from_pretrained(f"{USER}/test-model-flax") |
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base_params = flatten_dict(unfreeze(model.params)) |
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new_params = flatten_dict(unfreeze(new_model.params)) |
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for key in base_params.keys(): |
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max_diff = (base_params[key] - new_params[key]).sum().item() |
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self.assertLessEqual(max_diff, 1e-3, msg=f"{key} not identical") |
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delete_repo(token=self._token, repo_id="test-model-flax") |
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with tempfile.TemporaryDirectory() as tmp_dir: |
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model.save_pretrained(tmp_dir, repo_id="test-model-flax", push_to_hub=True, use_auth_token=self._token) |
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new_model = FlaxBertModel.from_pretrained(f"{USER}/test-model-flax") |
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base_params = flatten_dict(unfreeze(model.params)) |
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new_params = flatten_dict(unfreeze(new_model.params)) |
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for key in base_params.keys(): |
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max_diff = (base_params[key] - new_params[key]).sum().item() |
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self.assertLessEqual(max_diff, 1e-3, msg=f"{key} not identical") |
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def test_push_to_hub_in_organization(self): |
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config = BertConfig( |
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vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37 |
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) |
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model = FlaxBertModel(config) |
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model.push_to_hub("valid_org/test-model-flax-org", use_auth_token=self._token) |
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new_model = FlaxBertModel.from_pretrained("valid_org/test-model-flax-org") |
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base_params = flatten_dict(unfreeze(model.params)) |
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new_params = flatten_dict(unfreeze(new_model.params)) |
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for key in base_params.keys(): |
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max_diff = (base_params[key] - new_params[key]).sum().item() |
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self.assertLessEqual(max_diff, 1e-3, msg=f"{key} not identical") |
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delete_repo(token=self._token, repo_id="valid_org/test-model-flax-org") |
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with tempfile.TemporaryDirectory() as tmp_dir: |
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model.save_pretrained( |
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tmp_dir, repo_id="valid_org/test-model-flax-org", push_to_hub=True, use_auth_token=self._token |
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) |
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new_model = FlaxBertModel.from_pretrained("valid_org/test-model-flax-org") |
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base_params = flatten_dict(unfreeze(model.params)) |
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new_params = flatten_dict(unfreeze(new_model.params)) |
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for key in base_params.keys(): |
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max_diff = (base_params[key] - new_params[key]).sum().item() |
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self.assertLessEqual(max_diff, 1e-3, msg=f"{key} not identical") |
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def check_models_equal(model1, model2): |
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models_are_equal = True |
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flat_params_1 = flatten_dict(model1.params) |
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flat_params_2 = flatten_dict(model2.params) |
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for key in flat_params_1.keys(): |
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if np.sum(np.abs(flat_params_1[key] - flat_params_2[key])) > 1e-4: |
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models_are_equal = False |
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return models_are_equal |
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@require_flax |
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class FlaxModelUtilsTest(unittest.TestCase): |
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def test_model_from_pretrained_subfolder(self): |
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config = BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only") |
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model = FlaxBertModel(config) |
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subfolder = "bert" |
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with tempfile.TemporaryDirectory() as tmp_dir: |
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model.save_pretrained(os.path.join(tmp_dir, subfolder)) |
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with self.assertRaises(OSError): |
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_ = FlaxBertModel.from_pretrained(tmp_dir) |
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model_loaded = FlaxBertModel.from_pretrained(tmp_dir, subfolder=subfolder) |
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self.assertTrue(check_models_equal(model, model_loaded)) |
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def test_model_from_pretrained_subfolder_sharded(self): |
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config = BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only") |
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model = FlaxBertModel(config) |
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subfolder = "bert" |
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with tempfile.TemporaryDirectory() as tmp_dir: |
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model.save_pretrained(os.path.join(tmp_dir, subfolder), max_shard_size="10KB") |
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with self.assertRaises(OSError): |
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_ = FlaxBertModel.from_pretrained(tmp_dir) |
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model_loaded = FlaxBertModel.from_pretrained(tmp_dir, subfolder=subfolder) |
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self.assertTrue(check_models_equal(model, model_loaded)) |
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def test_model_from_pretrained_hub_subfolder(self): |
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subfolder = "bert" |
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model_id = "hf-internal-testing/tiny-random-bert-subfolder" |
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with self.assertRaises(OSError): |
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_ = FlaxBertModel.from_pretrained(model_id) |
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model = FlaxBertModel.from_pretrained(model_id, subfolder=subfolder) |
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self.assertIsNotNone(model) |
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def test_model_from_pretrained_hub_subfolder_sharded(self): |
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subfolder = "bert" |
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model_id = "hf-internal-testing/tiny-random-bert-sharded-subfolder" |
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with self.assertRaises(OSError): |
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_ = FlaxBertModel.from_pretrained(model_id) |
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model = FlaxBertModel.from_pretrained(model_id, subfolder=subfolder) |
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self.assertIsNotNone(model) |
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