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db704cb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | # Copyright 2025 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from llamafactory.v1.config import DataArguments, ModelArguments, TrainingArguments
from llamafactory.v1.core.data_engine import DataEngine
from llamafactory.v1.core.model_engine import ModelEngine
from llamafactory.v1.core.utils.batching import BatchGenerator
def test_normal_batching():
data_args = DataArguments(train_dataset="llamafactory/v1-sft-demo")
data_engine = DataEngine(data_args.train_dataset)
model_args = ModelArguments(model="llamafactory/tiny-random-qwen3")
model_engine = ModelEngine(model_args=model_args)
training_args = TrainingArguments(
micro_batch_size=4,
global_batch_size=8,
cutoff_len=10,
batching_workers=0,
batching_strategy="normal",
)
batch_generator = BatchGenerator(
data_engine,
model_engine.renderer,
micro_batch_size=training_args.micro_batch_size,
global_batch_size=training_args.global_batch_size,
cutoff_len=training_args.cutoff_len,
batching_workers=training_args.batching_workers,
batching_strategy=training_args.batching_strategy,
)
assert len(batch_generator) == len(data_engine) // training_args.global_batch_size
batch = next(iter(batch_generator))
assert len(batch) == 2
assert batch[0]["input_ids"].shape == (4, 10)
if __name__ == "__main__":
"""
python -m tests_v1.core.utils.test_batching
"""
test_normal_batching()
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