import mindspore.numpy as np

x = np.array([1, 2, 3])
output = np.broadcast_to(x, (3, 3))
print(output)

import mindspore.numpy as np

x = np.array([1, 2, 3])
output = np.broadcast_to(x, (3, 4))
print(output)

>>> ms.numpy.broadcast_to(A,(3,4))

Traceback (most recent call last):

  File "<stdin>", line 1, in <module>

  File "/home/ma-user/miniconda3/envs/py38ms1.9/lib/python3.8/site-packages/mindspore/numpy/array_ops.py", line 1290, in broadcast_to

    return _raise_value_error('cannot broadcast with ', shape)

  File "/home/ma-user/miniconda3/envs/py38ms1.9/lib/python3.8/site-packages/mindspore/ops/primitive.py", line 716, in __call__

    return fn(*args)

  File "/home/ma-user/miniconda3/envs/py38ms1.9/lib/python3.8/site-packages/mindspore/numpy/utils_const.py", line 227, in _raise_value_error

    raise ValueError(info + f"{param}")

ValueError: cannot broadcast with (3, 4)

import mindspore.numpy as np

x = np.array([1, 2, 3])
output = np.broadcast_to(x, (3, 4))
print(output)