mindspore.numpy.broadcast_arrays
- mindspore.numpy.broadcast_arrays(*args)[source]
Broadcasts any number of arrays against each other.
Note
Numpy argument subok is not supported. In graph mode, returns a tuple of Tensor instead of a list of Tensor.
- Parameters
*args (Tensor) – The arrays to broadcast.
- Returns
List of Tensor.
- Raises
ValueError – If arrays cannot be broadcast.
- Supported Platforms:
AscendGPUCPU
Examples
>>> import mindspore.numpy as np >>> x = np.array([[1,2,3]]) >>> y = np.array([[4],[5]]) >>> output = np.broadcast_arrays(x, y) >>> print(output) [Tensor(shape=[2, 3], dtype=Int32, value= [[1, 2, 3], [1, 2, 3]]), Tensor(shape=[2, 3], dtype=Int32, value= [[4, 4, 4], [5, 5, 5]])]