brainpy.math.unique#

brainpy.math.unique(ar, return_index=False, return_inverse=False, return_counts=False, axis=None)#

Similar to jax.numpy.unique 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.