gravitino

import tensorflow as tf
import tqdm

def tfmf(D, k, 
         params_dict={"iters":2**14, "p":2, "h":1E-2, "init":"kmeans"}, 
         regularizer_dict={"lambda_C":1E-3, "lambda_B":1E-3, "p":1}):
  
   m, n = D.shape[0], D.shape[1]
 
   D_con = tf.constant(D)

gravitino

import numpy as np
import pylab as pl
#import seaborn as sns
from sklearn.datasets import make_blobs, make_circles

def rbf_kernel(X, beta=None, p=2):


    num_data, num_feat = X.shape
    kernel = np.zeros((num_data, num_data))

gravitino

#include <iostream>

// error makro
#define CUERR {                                                              \
    cudaError_t err;                                                         \
    if ((err = cudaGetLastError()) != cudaSuccess) {                         \
       std::cout << "CUDA error: " << cudaGetErrorString(err) << " : "       \
                 << __FILE__ << ", line " << __LINE__ << std::endl;          \
       exit(1);                                                              \
    }                                                                        \

gravitino

#ifndef RNGPU_HPP
#define RNGPU_HPP

#if defined(__CUDA_ARCH__)
#define INLINE_QUALIFIERS __host__ __device__ __forceinline__
#else
#include <math.h>
#define INLINE_QUALIFIERS  inline
#endif

gravitino

#ifndef INPLACE_ALGORITHMS
#define INPLACE_ALGORITHMS

template<
    class value_t,
    class index_t> 
void permute(
    value_t * data,
    index_t * perm,
    index_t length) {

gravitino

Keybase proof

I hereby claim:

• I am gravitino on github.
• I am hundt (https://keybase.io/hundt) on keybase.
• I have a public key whose fingerprint is D3F4 A995 7D3A 7400 874C D1A9 C584 38B7 5FAA 47C7

To claim this, I am signing this object: