nrimsky

import torch as t
from torch.autograd import grad
from scipy.sparse.linalg import LinearOperator, eigsh
import numpy as np

def get_hessian_eigenvectors(model, loss_fn, train_data_loader, num_batches, device, n_top_vectors, param_extract_fn):
    """
    model: a pytorch model
    loss_fn: a pytorch loss function
    train_data_loader: a pytorch data loader

nrimsky

import React, { useState, useEffect } from 'react';
import { GenericInput } from './TextEdit';

const App = () => {

  type myObj = {
    name: string;
    numLettersInName: number;
  }

nrimsky

import React from 'react';

export function GenericInput<T>(props: { value: T, dataToString: (value: T) => string, dataFromString: (input: string) => T, onChange: (value: T) => void }) {
    const isNumberField = typeof (props.value) === "number";
    return (<input
        value={props.dataToString(props.value)}
        onChange={e => props.onChange(props.dataFromString(e.target.value))}
        type={isNumberField ? "number" : "text"}
    />);
}