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lazy image load

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Former-commit-id: cdd733b575411e003bc5ffd6560dd8eff8aa09cf
This commit is contained in:
hiyouga
2024-09-04 02:27:08 +08:00
parent fed7ae5661
commit 7056087e92
19 changed files with 353 additions and 366 deletions
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37
src/llamafactory/data/processors/pairwise.py
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@@ -21,10 +21,10 @@ from .processor_utils import infer_seqlen
if TYPE_CHECKING:
from PIL.Image import Image
from transformers import PreTrainedTokenizer, ProcessorMixin
from ...hparams import DataArguments
from ..mm_plugin import ImageInput
from ..template import Template
@@ -36,12 +36,12 @@ def _encode_pairwise_example(
response: Sequence[Dict[str, str]],
system: Optional[str],
tools: Optional[str],
images: Sequence["Image"],
images: Sequence["ImageInput"],
template: "Template",
tokenizer: "PreTrainedTokenizer",
processor: Optional["ProcessorMixin"],
cutoff_len: int,
) -> Tuple[List[int], List[int], List[int], List[int], Dict[str, Any]]:
) -> Tuple[List[int], List[int], List[int], List[int]]:
chosen_messages = template.mm_plugin.process_messages(prompt + [response[0]], images, processor)
rejected_messages = template.mm_plugin.process_messages(prompt + [response[1]], images, processor)
prompt_ids, chosen_ids = template.encode_oneturn(tokenizer, chosen_messages, system, tools)
@@ -62,15 +62,7 @@ def _encode_pairwise_example(
chosen_labels = [IGNORE_INDEX] * source_len + chosen_ids
rejected_input_ids = prompt_ids + rejected_ids
rejected_labels = [IGNORE_INDEX] * source_len + rejected_ids
extra_inputs = template.mm_plugin.get_mm_inputs(
images=images,
feature_seqlens={
"chosen_token_type_ids": len(chosen_input_ids),
"rejected_token_type_ids": len(rejected_input_ids),
},
processor=processor,
)
return chosen_input_ids, chosen_labels, rejected_input_ids, rejected_labels, extra_inputs
return chosen_input_ids, chosen_labels, rejected_input_ids, rejected_labels
def preprocess_pairwise_dataset(
@@ -82,17 +74,17 @@ def preprocess_pairwise_dataset(
) -> Dict[str, List[Any]]:
# build input pairs with format `<bos> X`, `Y1 <eos>` and `Y2 <eos>`
model_inputs = defaultdict(list)
for i in range(len(examples["prompt"])):
if len(examples["prompt"][i]) % 2 != 1 or len(examples["response"][i]) < 2:
logger.warning("Dropped invalid example: {}".format(examples["prompt"][i] + examples["response"][i]))
for i in range(len(examples["_prompt"])):
if len(examples["_prompt"][i]) % 2 != 1 or len(examples["_response"][i]) < 2:
logger.warning("Dropped invalid example: {}".format(examples["_prompt"][i] + examples["_response"][i]))
continue
chosen_input_ids, chosen_labels, rejected_input_ids, rejected_labels, extra_inputs = _encode_pairwise_example(
prompt=examples["prompt"][i],
response=examples["response"][i],
system=examples["system"][i],
tools=examples["tools"][i],
images=examples["images"][i],
chosen_input_ids, chosen_labels, rejected_input_ids, rejected_labels = _encode_pairwise_example(
prompt=examples["_prompt"][i],
response=examples["_response"][i],
system=examples["_system"][i],
tools=examples["_tools"][i],
images=examples["_images"][i] or [],
template=template,
tokenizer=tokenizer,
processor=processor,
@@ -104,8 +96,7 @@ def preprocess_pairwise_dataset(
model_inputs["rejected_input_ids"].append(rejected_input_ids)
model_inputs["rejected_attention_mask"].append([1] * len(rejected_input_ids))
model_inputs["rejected_labels"].append(rejected_labels)
for key, value in extra_inputs.items():
model_inputs[key].append(value)
model_inputs["images"].append(examples["_images"][i])
return model_inputs