ShigekiKarita

#include <assert.h>
#include <thrust/host_vector.h>

#include <thrust/device_vector.h>

#include <algorithm> 
#include <iostream>
#include <limits>
#include <cmath>
#include <utility>

ShigekiKarita

#include <assert.h>
#include <thrust/host_vector.h>

#include <thrust/device_vector.h>

#include <algorithm> 
#include <iostream>
#include <limits>
#include <cmath>
#include <utility>

ShigekiKarita

import scipy
from scipy import fftpack
from scipy import signal
from scipy.io import wavfile
import matplotlib.pyplot as plt


def add_eps(x):
    x[scipy.where(x == 0)] = scipy.finfo(dtype=x.dtype).eps
    return x

ShigekiKarita

"""
PTB RNNLM model

according to tf: https://www.tensorflow.org/tutorials/recurrent#run_the_code
perplexity 120 is nice. 80 is great.

"""
from functools import partial
import torch
import torch.nn as nn

ShigekiKarita

from collections import namedtuple


def value(*fields):
    def wrapper(class_):
        name = class_.__name__
        t = namedtuple(name, fields)
        return type(name, (class_, t), {})
    return wrapper

ShigekiKarita

;; -*- mode: emacs-lisp -*-
;; This file is loaded by Spacemacs at startup.
;; It must be stored in your home directory.

(defun dotspacemacs/layers ()
  "Configuration Layers declaration.
You should not put any user code in this function besides modifying the variable
values."
  (setq-default
   ;; Base distribution to use. This is a layer contained in the directory

ShigekiKarita

#include "share/atspre_define.hats"
#include "share/atspre_staload.hats"

(* README

original : 
    https://github.com/smistad/OpenCL-Getting-Started

compile with CUDA devices:
    patscc -o test ./opencl_test.dats -L/usr/local/cuda/lib64 -lOpenCL 

ShigekiKarita

$ nvcc ./stream_test.cu -o ./stream_legacy
$ nvvp ./stream_legacy

ShigekiKarita

#include <future>
#include <thread>
#include <map>
#include <vector>
#include <stdio.h>

const int N = 1 << 20;

__global__ void kernel(float *x, int n)
{

ShigekiKarita

#-------------------------------------------------------------------------------
#  Template configuration for compiling mxnet
#
#  If you want to change the configuration, please use the following
#  steps. Assume you are on the root directory of mxnet. First copy the this
#  file so that any local changes will be ignored by git
#
#  $ cp make/config.mk .
#
#  Next modify the according entries, and then compile by