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@waichee
waichee / build_ts_serving_source.sh
Last active January 13, 2019 05:45
Code to Build Tensorflow Serving from source within a Docker container
mkdir -p /work/
# Clone the source from Github
cd /work/ && git clone — recurse-submodules https://github.com/tensorflow/serving
# Pin the version of Tensorflow Serving and its submodule
TENSOR_SERVING_COMMIT_HASH=85db9d3
TENSORFLOW_COMMIT_HASH=dbe5e17
cd /work/serving && git checkout $TENSOR_SERVING_COMMIT_HASH
@igormq
igormq / tf_beam_decoder.py
Created June 27, 2016 21:03 — forked from nikitakit/tf_beam_decoder.py
Tensorflow Beam Search
import tensorflow as tf
def beam_decoder(decoder_inputs, initial_state, cell, loop_function, scope=None,
beam_size=7, done_token=0
):
"""
Beam search decoder
Args:
decoder_inputs: A list of 2D Tensors [batch_size x input_size].
@waichee
waichee / create_docker_container.sh
Created February 14, 2017 10:12
Steps to create a docker container with dependencies required for compiling Tensorflow Serving
# Clone the Tensorflow Serving source
git clone https://github.com/tensorflow/serving
cd serving && git checkout <commit_hash>
# Build the docker image (time to go get yourself a coffee, maybe a meal as well, this will take a while.)
docker build -t some_user_namespace/tensorflow-serving:latest -f ./serving/tensorflow_serving/tools/docker/Dockerfile.devel .
# Run up the Docker container in terminal
docker run -ti some_user_namespace/tensorflow-serving:latest
@xylcbd
xylcbd / seq2seq_beam_search.py
Last active July 22, 2020 23:18
#coding: utf-8
#demo of beam search for seq2seq model
import numpy as np
import random
vocab = {
0: 'a',
1: 'b',
2: 'c',
3: 'd',
@marklit
marklit / _install.sh
Last active October 29, 2020 08:59
Find the cheapest availability zone across all regions for an EC2 spot instance type
pip install sh
@udibr
udibr / beamsearch.py
Last active October 4, 2021 11:50
beam search for Keras RNN
# variation to https://github.com/ryankiros/skip-thoughts/blob/master/decoding/search.py
def keras_rnn_predict(samples, empty=empty, rnn_model=model, maxlen=maxlen):
"""for every sample, calculate probability for every possible label
you need to supply your RNN model and maxlen - the length of sequences it can handle
"""
data = sequence.pad_sequences(samples, maxlen=maxlen, value=empty)
return rnn_model.predict(data, verbose=0)
def beamsearch(predict=keras_rnn_predict,
@0xnurl
0xnurl / openfst_python_on_macos.md
Last active October 23, 2021 17:35
Installing OpenFST Native Python Extension on MacOS

Installing OpenFst Native Python Extension on MacOS

Starting from version 1.5, OpenFst has offered a native Python module, making the use of external wrappers like PyFst unnecessary. This has been greatly helpful since PyFst doesn't support Python 3.

1. Install OpenFst

@tonyseek
tonyseek / README.rst
Last active November 5, 2022 15:20
Build Python binding of C++ library with cffi (PyPy/Py3K compatible)

Run with Python:

pip-2.7 install cffi
PYTHON=python2.7 sh go.sh

Run with PyPy:

pip-pypy install cffi
PYTHON=pypy sh go.sh
@benjaminirving
benjaminirving / README.md
Last active June 18, 2023 09:38
Python to c++ interface example files. Used to demonstrate how to pass multidimensional numpy arrays to c++ vectors and back (see http://www.birving.com/blog/2014/05/13/passing-numpy-arrays-between-python-and/)

Python <-> c++ interface example for multidimensional arrays

@pazdera
pazdera / gist:1098119
Created July 21, 2011 20:25
Singleton example in C++
/*
* Example of a singleton design pattern.
* Copyright (C) 2011 Radek Pazdera
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
* This program is distributed in the hope that it will be useful,