Tested with Cloudera 5.12.0 Quickstart VM (https://www.cloudera.com/downloads/quickstart_vms/5-12.html)
Library | Version |
---|---|
JanusGraph | 0.3.0-SNAPSHOT |
TinkerPop | 3.3.0 |
Spark | 2.2.0 |
HBase | 1.2.0 |
Cassandra | 2.2.11 |
Java | 1.8.0_151 |
'''This scripts implements Kim's paper "Convolutional Neural Networks for Sentence Classification" | |
with a very small embedding size (20) than the commonly used values (100 - 300) as it gives better | |
result with much less parameters. | |
Run on GPU: THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python imdb_cnn.py | |
Get to 0.853 test accuracy after 5 epochs. 13s/epoch on Nvidia GTX980 GPU. | |
''' | |
from __future__ import print_function |
Tested with Cloudera 5.12.0 Quickstart VM (https://www.cloudera.com/downloads/quickstart_vms/5-12.html)
Library | Version |
---|---|
JanusGraph | 0.3.0-SNAPSHOT |
TinkerPop | 3.3.0 |
Spark | 2.2.0 |
HBase | 1.2.0 |
Cassandra | 2.2.11 |
Java | 1.8.0_151 |
Tested with Cloudera 5.12.0 Quickstart VM (https://www.cloudera.com/downloads/quickstart_vms/5-12.html)
Library | Version |
---|---|
JanusGraph | 0.3.0-SNAPSHOT |
TinkerPop | 3.3.0 |
Spark | 2.2.0 |
HBase | 1.2.0 |
Cassandra | 2.2.11 |
Java | 1.8.0_151 |
#!/usr/bin/env python | |
from __future__ import print_function | |
import argparse | |
import numpy as np | |
import time | |
tt = time.time() | |
import cv2 | |
from grpc.beta import implementations |
#!/bin/bash | |
USER=$1 | |
TAG=$2 | |
TF_SERVING_VERSION_GIT_BRANCH="r1.13" | |
git clone --branch="${TF_SERVING_VERSION_GIT_BRANCH}" https://github.com/tensorflow/serving | |
TF_SERVING_BUILD_OPTIONS="--copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-msse4.1 --copt=-msse4.2" | |
cd serving && \ | |
docker build --pull -t $USER/tensorflow-serving-devel:$TAG \ |