cosmos_predict1/tokenizer/training/configs/base/metric.py

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"""Metric configurations for the tokenizer model.

Support for PSNR or SSIM, there are validation only metrics.
"""
import attrs

from cosmos_predict1.tokenizer.training.metrics import CodeUsageMetric, PSNRMetric, SSIMMetric, TokenizerMetric
from cosmos_predict1.utils.lazy_config import LazyCall as L
from cosmos_predict1.utils.lazy_config import LazyDict


@attrs.define(slots=False)
class Metric:
    # The combined loss function, and its reduction mode.
    PSNR: LazyDict = L(PSNRMetric)()
    SSIM: LazyDict = L(SSIMMetric)()


@attrs.define(slots=False)
class DiscreteTokenizerMetric:
    # with code usage (perplexity PPL), for discrete tokenizers only
    PSNR: LazyDict = L(PSNRMetric)()
    SSIM: LazyDict = L(SSIMMetric)()
    CodeUsage: LazyDict = L(CodeUsageMetric)(codebook_size=64000)


MetricConfig: LazyDict = L(TokenizerMetric)(config=Metric())

DiscreteTokenizerMetricConfig: LazyDict = L(TokenizerMetric)(config=DiscreteTokenizerMetric())