def shape(self, newshape):
newshape = internal.infer_unknown_dimension(newshape, self._size)
strides = internal.get_strides_for_nocopy_reshape(self, newshape)
if strides is None:
raise AttributeError('Incompatible shape')
self._shape = newshape
self._strides = strides
self._f_contiguous = -1
def shape(self, newshape):
newshape = internal.infer_unknown_dimension(newshape, self._size)
strides = internal.get_strides_for_nocopy_reshape(self, newshape)
if strides is None:
raise AttributeError('Incompatible shape')
self._shape = newshape
self._strides = strides
self._f_contiguous = -1
def reshape(a, newshape):
"""Returns an array with new shape and same elements.
It tries to return a view if possible, otherwise returns a copy.
This function currently does not support ``order`` option.
Args:
a (cupy.ndarray): Array to be reshaped.
newshape (int or tuple of ints): The new shape of the array to return.
If it is an integer, then it is treated as a tuple of length one.
It should be compatible with ``a.size``. One of the elements can be
-1, which is automatically replaced with the appropriate value to
make the shape compatible with ``a.size``.
Returns:
cupy.ndarray: A reshaped view of ``a`` if possible, otherwise a copy.
.. seealso:: :func:`numpy.reshape`
"""
# TODO(beam2d): Support ordering option
if isinstance(newshape, collections.Sequence):
newshape = tuple(newshape)
else:
newshape = newshape,
shape = a.shape
if newshape == shape:
return a.view()
size = a.size
newshape = internal.infer_unknown_dimension(newshape, size)
if newshape == shape:
return a.view()
if internal.prod(newshape) != size:
raise RuntimeError('Total size mismatch on reshape')
newstrides = internal.get_strides_for_nocopy_reshape(a, newshape)
if newstrides is not None:
newarray = a.view()
else:
newarray = a.copy()
newstrides = internal.get_strides_for_nocopy_reshape(
newarray, newshape)
newarray._shape = newshape
newarray._strides = newstrides
if newarray._c_contiguous == 1:
newarray._f_contiguous = int(
not size or len(newshape) - newshape.count(1) <= 1)
else:
newarray._f_contiguous = -1
return newarray
def reshape(a, newshape):
"""Returns an array with new shape and same elements.
It tries to return a view if possible, otherwise returns a copy.
This function currently does not support ``order`` option.
Args:
a (cupy.ndarray): Array to be reshaped.
newshape (int or tuple of ints): The new shape of the array to return.
If it is an integer, then it is treated as a tuple of length one.
It should be compatible with ``a.size``. One of the elements can be
-1, which is automatically replaced with the appropriate value to
make the shape compatible with ``a.size``.
Returns:
cupy.ndarray: A reshaped view of ``a`` if possible, otherwise a copy.
.. seealso:: :func:`numpy.reshape`
"""
# TODO(beam2d): Support ordering option
if isinstance(newshape, collections.Sequence):
newshape = tuple(newshape)
else:
newshape = newshape,
shape = a.shape
if newshape == shape:
return a.view()
size = a.size
newshape = internal.infer_unknown_dimension(newshape, size)
if newshape == shape:
return a.view()
if internal.prod(newshape) != size:
raise RuntimeError('Total size mismatch on reshape')
newstrides = internal.get_strides_for_nocopy_reshape(a, newshape)
if newstrides is not None:
newarray = a.view()
else:
newarray = a.copy()
newstrides = internal.get_strides_for_nocopy_reshape(
newarray, newshape)
newarray._shape = newshape
newarray._strides = newstrides
if newarray._c_contiguous == 1:
newarray._f_contiguous = int(not size
or len(shape) - shape.count(1) <= 1)
else:
newarray._f_contiguous = -1
return newarray