3-3 构造不同元素类型的torch.tensor类实例.ipynb

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      "torch.int64\n",
      "torch.int8\n",
      "torch.int16\n",
      "torch.int32\n",
      "torch.int64\n",
      "torch.float16\n",
      "torch.float32\n",
      "torch.float64\n"
     ]
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   "source": [
    "import torch\n",
    "print(torch.tensor([0,1]).dtype) #shape\n",
    "t_int8=torch.tensor([0,1],dtype=torch.int8)\n",
    "print(t_int8.dtype)\n",
    "t_int16=torch.tensor([0,1],dtype=torch.int16)\n",
    "print(t_int16.dtype)\n",
    "t_int32=torch.tensor([0,1],dtype=torch.int32)\n",
    "print(t_int32.dtype)\n",
    "t_int64=torch.tensor([0,1],dtype=torch.int64)\n",
    "print(t_int64.dtype)\n",
    "t_float16=torch.tensor([0,1],dtype=torch.float16)\n",
    "print(t_float16.dtype)\n",
    "t_float32=torch.tensor([0,1],dtype=torch.float32)\n",
    "print(t_float32.dtype)\n",
    "t_float64=torch.tensor([0,1],dtype=torch.float64)\n",
    "print(t_float64.dtype)"
   ]
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   "outputs": [],
   "source": []
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