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//+build ignore | |
// TensorFlow Serving gRPC interface generator. | |
// | |
// This script works around a bunch of issues (as of 2019-08-25) between Go's | |
// protobuf compiler plugin, Go modules, and definitions of TensorFlow and | |
// TensorFlow Serving proto files. It assumes that protoc and protoc-gen-go are | |
// on your PATH. | |
// | |
// git clone -b r1.15 https://github.com/tensorflow/tensorflow.git |
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#!/bin/bash | |
# This script is based on https://unix.stackexchange.com/revisions/480191/9 . | |
# The following changes proved to be necessary to make it work on CentOS 7: | |
# * removed disk info (model, size) - not very useful, might not work in many cases. | |
# * using "bw" instead of "bw_bytes" to support fio version 3.1 (those availible through yum @base) | |
# * escaping exclamation mark in sed command | |
# * the ".fiomark.txt" is not auto-removed | |
LOOPS=5 #How many times to run each test |
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import tensorflow as tf | |
# The export path contains the name and the version of the model | |
tf.keras.backend.set_learning_phase(0) # Ignore dropout at inference | |
model = tf.keras.models.load_model('./inception.h5') | |
export_path = '../my_image_classifier/1' | |
# Fetch the Keras session and save the model | |
# The signature definition is defined by the input and output tensors | |
# And stored with the default serving key |
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// Tensorflow Serving Go client for the inception model | |
// go get github.com/golang/protobuf/ptypes/wrappers google.golang.org/grpc | |
// | |
// Compile the proto files: | |
// | |
// git clone https://github.com/tensorflow/serving.git | |
// git clone https://github.com/tensorflow/tensorflow.git | |
// | |
// mkdir -p vendor |
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[supervisord] | |
nodaemon=true | |
loglevel=debug | |
[program:amon] | |
command=gunicorn -c gunicorn.conf.py wsgi | |
directory=/amon | |
autostart=true | |
autorestart=true | |
redirect_stderr=true |
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王 | |
江 | |
周 | |
胡 | |
刘 | |
李 | |
吴 | |
毛 | |
温 | |
习 |
替换上你的 API Token,域名ID,记录ID等参数,就可以运行了。 会在后台一直运行,每隔30秒检查一遍IP,如果修改了就更新IP。
获得 domain_id 可以用 curl
curl -k https://dnsapi.cn/Domain.List -d "login_token=TOKEN"`
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// HOWTO: load LABjs itself dynamically! | |
// inline this code in your page to load LABjs itself dynamically, if you're so inclined. | |
(function (global, oDOC, handler) { | |
var head = oDOC.head || oDOC.getElementsByTagName("head"); | |
function LABjsLoaded() { | |
// do cool stuff with $LAB here | |
} |
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