{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a = np.array([\n",
    "    [\n",
    "        [6, 7, 8],\n",
    "        [9, 10, 11],\n",
    "    ],\n",
    "    [\n",
    "        [1, 2, 3],\n",
    "        [4, 5, 6]\n",
    "    ],\n",
    "    [\n",
    "        [1, 5, 10],\n",
    "        [23, 12, 11]\n",
    "    ],\n",
    "])\n",
    "\n",
    "b = np.array([\n",
    "    [2, 3],\n",
    "    [4, 5],\n",
    "    [6, 7],\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 39  44  49]\n",
      " [ 24  33  42]\n",
      " [167 114 137]]\n"
     ]
    }
   ],
   "source": [
    "result = []\n",
    "for c, d in zip(b, a):\n",
    "    result.append(c.dot(d))\n",
    "result = np.array(result)\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 39,  44,  49],\n",
       "       [ 24,  33,  42],\n",
       "       [167, 114, 137]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp = np.dot(b, a)\n",
    "np.diagonal(tmp, axis1=0, axis2=1).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}