memory_optimize error

memory_optimize.ipynb

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     "end_time": "2018-07-26T09:00:40.597172Z",
     "start_time": "2018-07-26T09:00:39.730275Z"
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   "source": [
    "import paddle.fluid as fluid\n",
    "import paddle\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-26T09:00:40.609484Z",
     "start_time": "2018-07-26T09:00:40.601315Z"
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   "source": [
    "main = fluid.Program()\n",
    "startup = fluid.Program()\n",
    "\n",
    "with fluid.program_guard(main, startup):\n",
    "    a = fluid.layers.data('a', [1, 2,2], dtype='float32')\n",
    "    a = fluid.layers.abs(a)\n",
    "    b = fluid.layers.data('b', [1, 2,2], dtype='float32')\n",
    "    b = fluid.layers.abs(b)\n",
    "    cost = fluid.layers.square_error_cost(a, b)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-26T09:00:40.716227Z",
     "start_time": "2018-07-26T09:00:40.613165Z"
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   "outputs": [],
   "source": [
    "def test():\n",
    "    with fluid.program_guard(main):\n",
    "        result = exe.run(main, fetch_list=[cost, a, b], feed={\n",
    "            'a': np.array([1., 2., 3., 4.]).reshape(1, 2, 2).astype('float32'),\n",
    "            'b': np.array([1., 2., 3., 4.]).reshape(1, 2, 2).astype('float32')\n",
    "        })\n",
    "        print(\"Cost\", result[0])\n",
    "        print(\"a\", result[1])\n",
    "        print(\"b\", result[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-26T09:00:40.771057Z",
     "start_time": "2018-07-26T09:00:40.720298Z"
    }
   },
   "outputs": [],
   "source": [
    "exe = fluid.Executor(fluid.CPUPlace())\n",
    "_ = exe.run(startup)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-26T09:00:40.892455Z",
     "start_time": "2018-07-26T09:00:40.774909Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Cost', array([[[0., 0.],\n",
      "        [0., 0.]]], dtype=float32))\n",
      "('a', array([[[1., 2.],\n",
      "        [3., 4.]]], dtype=float32))\n",
      "('b', array([[[1., 2.],\n",
      "        [3., 4.]]], dtype=float32))\n"
     ]
    }
   ],
   "source": [
    "## 正确结果\n",
    "test()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-26T09:00:40.945846Z",
     "start_time": "2018-07-26T09:00:40.896361Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hit Cache !!!! cache pool index is 0, var name is abs_1.tmp_0, cached var name is a, var shape is [-1L, 1L, 2L, 2L] \n",
      "Hit Cache !!!! cache pool index is 0, var name is square_error_cost_0.tmp_0, cached var name is b, var shape is [-1L, 1L, 2L, 2L] \n",
      "Hit Cache !!!! cache pool index is 0, var name is square_error_cost_0.tmp_1, cached var name is abs_0.tmp_0, var shape is [-1L, 1L, 2L, 2L] \n"
     ]
    }
   ],
   "source": [
    "## 执行memory_optimize\n",
    "fluid.transpiler.memory_optimize(main, print_log=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-26T09:00:41.080010Z",
     "start_time": "2018-07-26T09:00:40.948594Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Cost', array([[[0., 0.],\n",
      "        [0., 0.]]], dtype=float32))\n",
      "('a', array([[[0., 0.],\n",
      "        [0., 0.]]], dtype=float32))\n",
      "('b', array([[[1., 2.],\n",
      "        [3., 4.]]], dtype=float32))\n"
     ]
    }
   ],
   "source": [
    "# 错误结果\n",
    "test()"
   ]
  }
 ],
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