jax.numpy.ndarray
=================

.. currentmodule:: jax.numpy

.. autoclass:: ndarray

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~ndarray.__init__
      ~ndarray.addressable_data
      ~ndarray.all
      ~ndarray.any
      ~ndarray.argmax
      ~ndarray.argmin
      ~ndarray.argpartition
      ~ndarray.argsort
      ~ndarray.astype
      ~ndarray.choose
      ~ndarray.clip
      ~ndarray.compress
      ~ndarray.conj
      ~ndarray.conjugate
      ~ndarray.copy
      ~ndarray.copy_to_host_async
      ~ndarray.cumprod
      ~ndarray.cumsum
      ~ndarray.diagonal
      ~ndarray.dot
      ~ndarray.flatten
      ~ndarray.item
      ~ndarray.max
      ~ndarray.mean
      ~ndarray.min
      ~ndarray.nonzero
      ~ndarray.prod
      ~ndarray.ptp
      ~ndarray.ravel
      ~ndarray.repeat
      ~ndarray.reshape
      ~ndarray.round
      ~ndarray.searchsorted
      ~ndarray.sort
      ~ndarray.squeeze
      ~ndarray.std
      ~ndarray.sum
      ~ndarray.swapaxes
      ~ndarray.take
      ~ndarray.to_device
      ~ndarray.trace
      ~ndarray.transpose
      ~ndarray.var
      ~ndarray.view
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~ndarray.T
      ~ndarray.addressable_shards
      ~ndarray.at
      ~ndarray.committed
      ~ndarray.device
      ~ndarray.dtype
      ~ndarray.flat
      ~ndarray.global_shards
      ~ndarray.imag
      ~ndarray.is_fully_addressable
      ~ndarray.is_fully_replicated
      ~ndarray.itemsize
      ~ndarray.mT
      ~ndarray.nbytes
      ~ndarray.ndim
      ~ndarray.real
      ~ndarray.shape
      ~ndarray.sharding
      ~ndarray.size