mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-30 17:52:35 +06:00
19420fd99e
* move test model folders (TODO: fix imports and others) * fix (potentially partially) imports (in model test modules) * fix (potentially partially) imports (in tokenization test modules) * fix (potentially partially) imports (in feature extraction test modules) * fix import utils.test_modeling_tf_core * fix path ../fixtures/ * fix imports about generation.test_generation_flax_utils * fix more imports * fix fixture path * fix get_test_dir * update module_to_test_file * fix get_tests_dir from wrong transformers.utils * update config.yml (CircleCI) * fix style * remove missing imports * update new model script * update check_repo * update SPECIAL_MODULE_TO_TEST_MAP * fix style * add __init__ * update self-scheduled * fix add_new_model scripts * check one way to get location back * python setup.py build install * fix import in test auto * update self-scheduled.yml * update slack notification script * Add comments about artifact names * fix for yolos Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
102 lines
4.1 KiB
Python
102 lines
4.1 KiB
Python
# Copyright 2020 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
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from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow
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if is_flax_available():
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import jax
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from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
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from transformers.models.bert.modeling_flax_bert import FlaxBertModel
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from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel
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@require_flax
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class FlaxAutoModelTest(unittest.TestCase):
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@slow
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def test_bert_from_pretrained(self):
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for model_name in ["bert-base-cased", "bert-large-uncased"]:
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with self.subTest(model_name):
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config = AutoConfig.from_pretrained(model_name)
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self.assertIsNotNone(config)
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self.assertIsInstance(config, BertConfig)
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model = FlaxAutoModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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self.assertIsInstance(model, FlaxBertModel)
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@slow
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def test_roberta_from_pretrained(self):
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for model_name in ["roberta-base", "roberta-large"]:
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with self.subTest(model_name):
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config = AutoConfig.from_pretrained(model_name)
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self.assertIsNotNone(config)
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self.assertIsInstance(config, BertConfig)
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model = FlaxAutoModel.from_pretrained(model_name)
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self.assertIsNotNone(model)
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self.assertIsInstance(model, FlaxRobertaModel)
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@slow
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def test_bert_jax_jit(self):
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for model_name in ["bert-base-cased", "bert-large-uncased"]:
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = FlaxBertModel.from_pretrained(model_name)
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tokens = tokenizer("Do you support jax jitted function?", return_tensors=TensorType.JAX)
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@jax.jit
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def eval(**kwargs):
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return model(**kwargs)
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eval(**tokens).block_until_ready()
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@slow
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def test_roberta_jax_jit(self):
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for model_name in ["roberta-base", "roberta-large"]:
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = FlaxRobertaModel.from_pretrained(model_name)
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tokens = tokenizer("Do you support jax jitted function?", return_tensors=TensorType.JAX)
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@jax.jit
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def eval(**kwargs):
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return model(**kwargs)
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eval(**tokens).block_until_ready()
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def test_repo_not_found(self):
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with self.assertRaisesRegex(
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EnvironmentError, "bert-base is not a local folder and is not a valid model identifier"
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):
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_ = FlaxAutoModel.from_pretrained("bert-base")
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def test_revision_not_found(self):
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with self.assertRaisesRegex(
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EnvironmentError, r"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"
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):
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_ = FlaxAutoModel.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER, revision="aaaaaa")
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def test_model_file_not_found(self):
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with self.assertRaisesRegex(
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EnvironmentError,
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"hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack",
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):
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_ = FlaxAutoModel.from_pretrained("hf-internal-testing/config-no-model")
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def test_model_from_pt_suggestion(self):
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with self.assertRaisesRegex(EnvironmentError, "Use `from_pt=True` to load this model"):
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_ = FlaxAutoModel.from_pretrained("hf-internal-testing/tiny-bert-pt-only")
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