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53c10a4 | 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 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | # Copyright 2024 Bytedance Ltd. and/or its affiliates
#
# 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.
import os
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any, List, Optional, Tuple, Union
from ..py_functional import is_package_available
if is_package_available("wandb"):
import wandb # type: ignore
if is_package_available("swanlab"):
import swanlab # type: ignore
GenerationSample = Union[Tuple[str, str, str, float], Tuple[str, str, str, float, Any]]
def _unpack_generation_sample(sample: GenerationSample) -> Tuple[str, str, str, float, Any]:
"""Unify generation sample shape with backward compatibility."""
if len(sample) == 4:
inp, out, lab, score = sample
return inp, out, lab, score, None
if len(sample) == 5:
inp, out, lab, score, problem_id = sample
return inp, out, lab, score, problem_id
raise ValueError(f"Invalid generation sample format with length={len(sample)}.")
@dataclass
class GenerationLogger(ABC):
config: dict[str, Any]
@abstractmethod
def log(self, samples: List[GenerationSample], step: int) -> None: ...
@dataclass
class ConsoleGenerationLogger(GenerationLogger):
def log(self, samples: List[GenerationSample], step: int) -> None:
for sample in samples:
inp, out, lab, score, problem_id = _unpack_generation_sample(sample)
print(
f"[problem_id] {problem_id}\n[prompt] {inp}\n[output] {out}\n[ground_truth] {lab}\n[score] {score}\n"
)
@dataclass
class FileGenerationLogger(GenerationLogger):
def log(self, samples: List[GenerationSample], step: int) -> None:
with open(os.path.join(self.config["trainer"]["save_checkpoint_path"], "generations.log"), "a") as f:
for sample in samples:
inp, out, lab, score, problem_id = _unpack_generation_sample(sample)
f.write(
f"[problem_id] {problem_id}\n[prompt] {inp}\n[output] {out}\n[ground_truth] {lab}\n[score] {score}\n\n"
)
@dataclass
class WandbGenerationLogger(GenerationLogger):
def log(self, samples: List[GenerationSample], step: int) -> None:
# Create column names for all samples
columns = ["step"] + sum(
[
[f"problem_id_{i + 1}", f"input_{i + 1}", f"output_{i + 1}", f"label_{i + 1}", f"score_{i + 1}"]
for i in range(len(samples))
],
[],
)
if not hasattr(self, "validation_table"):
# Initialize the table on first call
self.validation_table = wandb.Table(columns=columns)
# Create a new table with same columns and existing data
# Workaround for https://github.com/wandb/wandb/issues/2981#issuecomment-1997445737
new_table = wandb.Table(columns=columns, data=self.validation_table.data)
# Add new row with all data
row_data = [step]
for sample in samples:
inp, out, lab, score, problem_id = _unpack_generation_sample(sample)
row_data.extend([problem_id, inp, out, lab, score])
new_table.add_data(*row_data)
wandb.log({"val/generations": new_table}, step=step)
self.validation_table = new_table
@dataclass
class SwanlabGenerationLogger(GenerationLogger):
def log(self, samples: List[GenerationSample], step: int) -> None:
swanlab_text_list = []
for i, sample in enumerate(samples):
inp, out, lab, score, problem_id = _unpack_generation_sample(sample)
row_text = "\n\n---\n\n".join(
(
f"problem_id: {problem_id}",
f"input: {inp}",
f"output: {out}",
f"label: {lab}",
f"score: {score}",
)
)
swanlab_text_list.append(swanlab.Text(row_text, caption=f"sample {i + 1}"))
swanlab.log({"val/generations": swanlab_text_list}, step=step)
GEN_LOGGERS = {
"console": ConsoleGenerationLogger,
"file": FileGenerationLogger,
"wandb": WandbGenerationLogger,
"swanlab": SwanlabGenerationLogger,
}
class AggregateGenerationsLogger:
def __init__(self, loggers: List[str], config: Optional[dict[str, Any]] = None):
self.loggers: List[GenerationLogger] = []
for logger in loggers:
if logger in GEN_LOGGERS:
self.loggers.append(GEN_LOGGERS[logger](config))
def log(self, samples: List[GenerationSample], step: int) -> None:
for logger in self.loggers:
logger.log(samples, step)
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