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import numpy as np
import scipy.optimize
from sklearn.linear_model import Ridge
from sklearn.isotonic import IsotonicRegression
from sklearn.base import BaseEstimator, RegressorMixin


class MonotonicRegression(BaseEstimator, RegressorMixin):
    """ Smooth increasing piecewise linear regression.
    During training, it minimizes MSE and the sum of absolute changes in its slope.

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import torch
import copy
from torch import nn
from transformers import T5PreTrainedModel
from transformers.models.t5.modeling_t5 import T5Stack
from transformers.modeling_outputs import SequenceClassifierOutput
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss


def mean_pooling(inputs, mask):

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