code: def test_tensor_ndarray_dtype(self):
      arr = np.array([1])  # where dtype is implicitly int64
      assert Tensor(arr).dtype == dtypes.int64
      assert (
          Tensor(arr, dtype=dtypes.float32).dtype == dtypes.float32
      )  # check if ndarray correctly casts to Tensor dtype
      assert Tensor(arr, dtype=dtypes.float64).dtype == dtypes.float64
  
imports: import numpy
  import torch
  import unittest, copy
  import mmap
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.helpers import temp
  from extra.gradcheck import numerical_jacobian, jacobian, gradcheck
label_desc: Use image node_id 19 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_tensor_ndarray_dtype() without return types