In [2]: cp.asarray(cp.asarray([1, 2, 3]))
Out[2]: array([1, 2, 3])

In [3]: cp.asarray(cp.ones(3))
Out[3]: array([1., 1., 1.])

In [4]: cp.asarray([cp.ones(3), cp.ones(3)])
Out[4]: 
array([[1., 1., 1.],
       [1., 1., 1.]])

In [5]: cp.asarray([cp.ones(3), 1])
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
..
TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.

In [6]: cp.asarray([cp.ones(3), [1, 2, 3]])
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
..
TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.

In [1]: import torch

In [2]: torch.as_tensor(torch.ones(3))
Out[2]: tensor([1., 1., 1.])

In [3]: torch.as_tensor([torch.ones(3), torch.ones(3)])
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[3], line 1
----> 1 torch.as_tensor([torch.ones(3), torch.ones(3)])

ValueError: only one element tensors can be converted to Python scalars

In [4]: torch.as_tensor([torch.ones(3), 1])
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[4], line 1
----> 1 torch.as_tensor([torch.ones(3), 1])

ValueError: only one element tensors can be converted to Python scalars

In [5]: torch.as_tensor([torch.ones(3), [1, 2, 3]])
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[5], line 1
----> 1 torch.as_tensor([torch.ones(3), [1, 2, 3]])

ValueError: only one element tensors can be converted to Python scalars

In [1]: import jax.numpy as jnp

In [2]: jnp.asarray(jnp.ones(3))
Out[2]: Array([1., 1., 1.], dtype=float32)

In [3]: jnp.asarray([jnp.ones(3), jnp.ones(3)])
Out[3]: 
Array([[1., 1., 1.],
       [1., 1., 1.]], dtype=float32)

In [4]: jnp.asarray([jnp.ones(3), 1])
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
...
ValueError: All input arrays must have the same shape.

In [5]: jnp.asarray([jnp.ones(3), [1, 2, 3]])
Out[5]: 
Array([[1., 1., 1.],
       [1., 2., 3.]], dtype=float32)