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import numba
import numba.cuda
import numpy as np


@numba.jitclass([
    ("x", numba.types.int32)
])
class XYZ:
    def __init__(self, x):

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import requests
from io import BytesIO
from PIL import Image
import numpy as np
import timeit
import torch

from maskrcnn_benchmark.config import cfg
from predictor import COCODemo, to_image_list

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from __future__ import print_function

import argparse
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data.distributed
from torchvision import models
import horovod.torch as hvd
import timeit

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#include <assert.h>

#include "tmds.h"
#include "utils.h"

template<int X>
ap_uint<log2up(X)> count_ones(ap_uint<X> data) {
	ap_uint<X> result = data[0];
	for (int i = 1; i < 8; i++) {
#pragma HLS UNROLL

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package tmds_pkg;

    typedef struct packed {
        logic       inv_q_m;
        logic       use_xor;
        logic [7:0] q_m;
    } tmds_encoded_t;

    typedef enum logic [9:0]{
    CTRL_00 = 10'b1101010100,

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from __future__ import print_function
from hyperopt import Trials, STATUS_OK, tpe
from hyperas import optim
from hyperas.distributions import choice, uniform, conditional
import keras
import tensorflow as tf
import horovod.keras as hvd
import keras.backend as K
import math

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from __future__ import print_function

import argparse
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data.distributed
from torchvision import datasets, transforms, models
import horovod.torch as hvd
import tensorboardX

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from __future__ import print_function

import os
import sys
import tensorflow as tf
from google.protobuf import text_format
from tensorflow.python.framework import graph_io

if len(sys.argv) < 2:
    print('Usage: %s <filename prefix>' % sys.argv[0])

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# Copyright 2018 Uber Technologies, Inc. All Rights Reserved.
#
# 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,