marty1885

#include <chrono>
#include <iostream>
#include <vector>
#include <random>
#include <cstring>
#include <array>

#include <cblas.h>
#include <rknn_matmul_api.h>

marty1885

marty1885

#include <iostream>
#include <vector>

#include "tiny_dnn/tiny_dnn.h"
using namespace tiny_dnn;
using namespace tiny_dnn::activation;
using namespace tiny_dnn::layers;

int main()
{

marty1885

#define CNN_USE_AVX //Enable the AVX backend for faster computing
#include "tiny_dnn/tiny_dnn.h"
using namespace tiny_dnn;
using namespace tiny_dnn::activation;
using namespace tiny_dnn::layers;

#include "AudioFile.h"

#include <vector>
#include <random>

marty1885

#include <string>
#include <vector>
#include <functional>
#include <iostream>
#include <optional>
#include <cassert>
#include <unordered_set>
#include <cppcoro/generator.hpp>
#include <cppcoro/task.hpp>
#include <cppcoro/sync_wait.hpp>

marty1885

// Using SFML as out audio loader and player
#include <SFML/Audio.hpp>

// The standard headers we need
#include <iostream>
#include <thread>
#include <chrono>
#include <stdexcept>
#include <memory>
#include <cassert>

marty1885

#include <cxxabi.h>
#include <iostream>

void demangle_name(const std::string& mangled_name)
{
    std::size_t len = 0;
    int status = 0;
    auto name = __cxxabiv1::__cxa_demangle(mangled_name.c_str(), nullptr, &len, &status);
    if (status == 0)
    {

marty1885

#include <cstddef>
#include <functional>
#include <memory>
#include <utility>
#include <stdexcept>
#include <iostream>

template <typename>
struct shared_function{};

marty1885

import gym
from etaler import et
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

def running_mean(x, N):
    cumsum = np.cumsum(np.insert(x, 0, 0))
    return (cumsum[N:] - cumsum[:-N]) / float(N)

marty1885

#include "crypto.hpp"
#include <regex>

#include <bsd/stdlib.h>
#include <botan/argon2.h>
#include <botan/system_rng.h>

static Botan::System_RNG rng;

uint32_t secureRandom(uint32_t lower, uint32_t upper)