骑马小猫 wj-Mcat

## dynamic_to_static.py
# 1. print the paddle version
from paddle import __version__
print("Paddle Version: " + __version__)

from paddlenlp.transformers import AutoModel
import paddle
# 2. load the dynamic model
input_ids = paddle.randint(10, 20, shape=[1, 20], dtype='int64')

model = AutoModel.from_pretrained("albert-base-v1")

## position_ids_perf.py
#%%
import paddle
from paddle import nn
import time
import pandas as pd
from tqdm import tqdm, trange


## python-wehcaty-with-padlocal.md

      
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                wj-Mcat
                / python-wehcaty-with-padlocal.md
            
            
              Last active
              January 17, 2021 00:46
            
              
                start padlocal-service with python-wechaty
              
          
    概述

介绍如何使用使用docker将Padlocal服务通过Hostie的方式暴露给python-wehcaty，以下为核心的启动代码。
Docker Serivce

docker run -ti -e WECHATY_LOG="verbose" \
  -e WECHATY_PUPPET="wechaty-puppet-padlocal" \
  -e WECHATY_PUPPET_PADLOCAL_TOKEN="your-padlocal-token" \

  
## bot.py
"""doc"""
# pylint: disable=R0801
import asyncio
import logging
from typing import Optional, Union

from wechaty_puppet import FileBox, ScanStatus  # type: ignore

import base64
	# 1. print the paddle version
	from paddle import __version__
	print("Paddle Version: " + __version__)

	from paddlenlp.transformers import AutoModel
	import paddle
	# 2. load the dynamic model
	input_ids = paddle.randint(10, 20, shape=[1, 20], dtype='int64')

	model = AutoModel.from_pretrained("albert-base-v1")
	#%%
	import paddle
	from paddle import nn
	import time
	import pandas as pd
	from tqdm import tqdm, trange
	"""doc"""
	# pylint: disable=R0801
	import asyncio
	import logging
	from typing import Optional, Union

	from wechaty_puppet import FileBox, ScanStatus # type: ignore

	import base64