brainpy.math.full_like(a, fill_value, dtype=None, order='K', subok=True, shape=None)#

Similar to jax.numpy.full_like function, while it is compatible with brainpy Array/Variable.

Note that this function is also compatible with:

  1. NumPy or PyTorch syntax when receiving out argument.

  2. PyTorch syntax when receiving keepdim or dim argument.

  3. TensorFlow syntax when receiving keep_dims argument.