Satoshi Izumi IzumiSatoshi

code

unet = UNet2DConditionModel.from_pretrained("CompVis/stable-diffusion-v1-4", subfolder="unet")

print("unet down blocks num = ", len(unet.down_blocks))
for idx, down_block in enumerate(unet.down_blocks, 1):
  print('------', idx)
  print(down_block)

output

問題ページ: https://atcoder.jp/contests/abc280/tasks/abc280_b

問題文を適切に整形して入力する。下付け文字を"_"で表すのと、例を入れるのが重要だったりする。　　

Solve following AtCoder problem with python. 　　
Problem Statement
You are given an integer N and a sequence S=(S_1,…,S_N) of length N.

Find a sequence A=(A_1,…,A_N) of length N that satisfies the following condition for all k=1,…,N:

	import os
	import time
	import sys
	import numpy as np
	import pyaudio
	import threading
	import queue


	import openai

	【System】

	## problem
	テキストベースの人狼ゲームに参加しているプレイヤーとして振舞ってください。
	あなたのプレイヤー名はラマです。
	ゲーム進行を務めるのはGM(Game Master)です。
	プレイヤーは全部で6人で、内訳は['村人', '狂人', '占い師', '騎士', '村人', '人狼']です。
	各プレイヤーが順番に発言していき2周回ると投票に移ります。

	以下は各役職の説明です。

	import os
	import openai
	import threading
	import time
	import textwrap
	import random
	import re
	import copy
	import requests, simpleaudio, tempfile, json
	import pyaudio

	import subprocess
	import openai
	import re
	from collections import defaultdict
	import textwrap
	import time
	import shlex

	openai.api_key = open("./openai_key.txt", "r").read().strip("\n")

	import sys

	packages_path = (
	"C:\\Users\\81809\\AppData\\Roaming\\Python\\Python310\\Scripts"
	+ "\\..\\site-packages"
	)
	sys.path.insert(0, packages_path)

	import openai
	import threading

	# 動作未確認

	import torch
	from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler, StableDiffusionPipeline
	import gc

	# load models
	ip2p_pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained("/content/drive/MyDrive/models/diffusers/ip2p", torch_dtype=torch.float16)
	base_pipe = StableDiffusionPipeline.from_pretrained("/content/drive/MyDrive/models/diffusers/sd15_fp16", torch_dtype=torch.float16)
	target_pipe = StableDiffusionPipeline.from_pretrained("/content/drive/MyDrive/models/diffusers/dedede_fp16", torch_dtype=torch.float16)

	# Copyright 2022 The HuggingFace Team. 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,

	import matplotlib.pyplot as plt


	def xy_plot(images, x_params, y_params, title, x_label, y_label):
	height, width = len(y_params), len(x_params)
	fig, axs = plt.subplots(height, width, constrained_layout=False)
	fig.subplots_adjust(wspace=0, hspace=0)

	n = 0
	for idx_y in range(height):