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console.log("test for lambda")
exports.handler = async( event ) => {
console.log("async ...");
var name = event.name || 'Anonymous';
console.log("name = " + name );
@ox1111
ox1111 / test3
Created February 12, 2019 03:08
exports.handler = (event ,context) => {
console.log('event : ' , JSON.stringify(event);
var name = event.name || 'Anonymous';
console.log("name = " + name );
}
// Load the SDK for JavaScript
var aws = require('aws-sdk');
// // Set the region
aws.config.update({region: 'us-west-2'});
console.log(" test ok ");
@ox1111
ox1111 / gist:796ac458d0c8f0c7a6317991b2c4aa04
Created February 12, 2019 06:43
dynamodb_createTable.js
var aws = require('aws-sdk');
aws.config.update({region: 'us-west-2'});
// creat the dynamodb service object
//
var ddb = new aws.DynamoDB({apiVersion: '2019-02-12'});
var aws = require('aws-sdk');
aws.config.update({region: 'us-west-2'});
// Create the DynamoDB service object
var ddb = new aws.DynamoDB({apiVersion: '2019-02-12'});
import tensorflow as tf
hello = tf.constant('hello world')
sess = tf.Session()
print( sess.run( hello ) )
import numpy
import theano
import theano.tensor as T
from theano import pp
x = T.dscalar('x')
y = x ** 2
gy = T.grad( y , x )
import mxnet as mx
import numpy as np
path='http://data.mxnet.io/models/imagenet/'
[mx.test_utils.download(path+'resnet/50-layers/resnet-50-0000.params'),
mx.test_utils.download(path+'resnet/50-layers/resnet-50-symbol.json'),
mx.test_utils.download(path+'synset.txt')]
ctx = mx.cpu()
(mxnet_p36) ubuntu@ip-111-11-11-111:~$ python test2.py
[04:01:52] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v0.8.0. Attempting to upgrade...
[04:01:52] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded!
probability=0.973225, class=n02132136 brown bear, bruin, Ursus arctos
probability=0.012621, class=n02133161 American black bear, black bear, Ursus americanus, Euarctos americanus
probability=0.007198, class=n02134084 ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus
probability=0.001246, class=n02444819 otter
probability=0.000965, class=n02134418 sloth bear, Melursus ursinus, Ursus ursinus
git clone https://github.com/GoogleCloudPlatform/python-docs-samples
cd python-docs-samples/appengine/standard_python37/hello_world