mha_wp_3.ipynb

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     "text": [
      "tf.Tensor(\n",
      "[[[   1    2    3 ...  510  511  512]\n",
      "  [ 513  514  515 ... 1022 1023 1024]\n",
      "  [1025 1026 1027 ... 1534 1535 1536]\n",
      "  ...\n",
      "  [3073 3074 3075 ... 3582 3583 3584]\n",
      "  [3585 3586 3587 ... 4094 4095 4096]\n",
      "  [4097 4098 4099 ... 4606 4607 4608]]], shape=(1, 9, 512), dtype=int64)\n"
     ]
    }
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   "source": [
    "# Let's take a sample sentence as an example. \n",
    "# As you can see in the output below, 'sample_sentence' is virutally a (9, 64) sized \n",
    "# matirix, whose elements are simple sequential integers. \n",
    "# *The first axis denotes the index of bathes. In this example the batch size is 1.\n",
    "\n",
    "sample_sentence = np.arange(1*9*512).reshape((1, 9, 512)) + 1\n",
    "sample_sentence = tf.convert_to_tensor(sample_sentence)\n",
    "print(sample_sentence)"
   ]
  }
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