Hong Jing (Jingles) jinglescode

id	title	genre	poster_path	popularity	budget	revenue	revenue_budget_ratio
862	toy-story	animation	/rhIRbceoE9lR4veEXuwCC2wARtG.jpg	21.946943	30000000.0	373554033.0	12.45
8844	jumanji	adventure	/vzmL6fP7aPKNKPRTFnZmiUfciyV.jpg	17.015539	65000000.0	262797249.0	4.04
31357	waiting-to-exhale	comedy	/16XOMpEaLWkrcPqSQqhTmeJuqQl.jpg	3.859495	16000000.0	81452156.0	5.09
949	heat	action	/zMyfPUelumio3tiDKPffaUpsQTD.jpg	17.924927	60000000.0	187436818.0	3.12
9091	sudden-death	action	/eoWvKD60lT95Ss1MYNgVExpo5iU.jpg	5.231580	35000000.0	64350171.0	1.84

	import torch
	import torch.nn as nn

	class conv_block(nn.Module):
	def __init__(self, in_ch, out_ch):
	super(conv_block, self).__init__()

	self.conv = nn.Sequential(
	nn.Conv2d(in_ch, out_ch, kernel_size=3, stride=1, padding=1, bias=True),
	nn.BatchNorm2d(out_ch),

	import requests
	import time
	import re
	import os

	def download_poster(downloaded_image_dir, title, label, poster_path):

	if not os.path.exists(downloaded_image_dir):
	os.makedirs(downloaded_image_dir)

	import torch
	import torch.nn as nn

	class conv_block_nested(nn.Module):

	def __init__(self, in_ch, mid_ch, out_ch):
	super(conv_block_nested, self).__init__()
	self.activation = nn.ReLU(inplace=True)
	self.conv1 = nn.Conv2d(in_ch, mid_ch, kernel_size=3, padding=1, bias=True)
	self.bn1 = nn.BatchNorm2d(mid_ch)

	import torch
	import torch.nn as nn

	class conv_block(nn.Module):
	def __init__(self, in_ch, out_ch):
	super(conv_block, self).__init__()

	self.conv = nn.Sequential(
	nn.Conv2d(in_ch, out_ch, kernel_size=3, stride=1, padding=1, bias=True),
	nn.BatchNorm2d(out_ch),