remove mf_to_cupy and mf_to_dpnp

Signed-off-by: Roelof Groenewald <[email protected]>

Author: roelof-groenewald

src/amrex/extensions/MultiFab.py

@@ -63,86 +63,6 @@ def mf_to_numpy(self, copy=False, order="F"):
     return views
 
 
-def mf_to_cupy(self, copy=False, order="F"):
-    """
-    Provide a CuPy view into a MultiFab.
-
-    This includes ngrow guard cells of each box.
-
-    Note on the order of indices:
-    By default, this is as in AMReX in Fortran contiguous order, indexing as
-    x,y,z. This has performance implications for use in external libraries such
-    as cupy.
-    The order="C" option will index as z,y,x and perform better with cupy.
-    https://github.com/AMReX-Codes/pyamrex/issues/55#issuecomment-1579610074
-
-    Parameters
-    ----------
-    self : amrex.MultiFab
-        A MultiFab class in pyAMReX
-    copy : bool, optional
-        Copy the data if true, otherwise create a view (default).
-    order : string, optional
-        F order (default) or C. C is faster with external libraries.
-
-    Returns
-    -------
-    list of cupy.array
-        A list of CuPy n-dimensional arrays, for each local block in the
-        MultiFab.
-
-    Raises
-    ------
-    ImportError
-        Raises an exception if cupy is not installed
-    """
-    views = []
-    for mfi in self:
-        views.append(self.array(mfi).to_cupy(copy, order))
-
-    return views
-
-
-def mf_to_dpnp(self, copy=False, order="F"):
-    """
-    Provide a dpnp view into a MultiFab.
-
-    This includes ngrow guard cells of each box.
-
-    Note on the order of indices:
-    By default, this is as in AMReX in Fortran contiguous order, indexing as
-    x,y,z. This has performance implications for use in external libraries such
-    as cupy.
-    The order="C" option will index as z,y,x and perform may better.
-    https://github.com/AMReX-Codes/pyamrex/issues/55#issuecomment-1579610074
-
-    Parameters
-    ----------
-    self : amrex.MultiFab
-        A MultiFab class in pyAMReX
-    copy : bool, optional
-        Copy the data if true, otherwise create a view (default).
-    order : string, optional
-        F order (default) or C. C is faster with external libraries.
-
-    Returns
-    -------
-    list of dpnp.array
-        A list of dpnp n-dimensional arrays, for each local block in the
-        MultiFab.
-
-    Raises
-    ------
-    ImportError
-        Raises an exception if dpnp is not installed
-    """
-    views = []
-    for mfi in self:
-        views.append(self.array(mfi).to_dpnp(copy, order))
-
-    return views
-
-
 def mf_to_xp(self, copy=False, order="F"):
     """
     Provide a NumPy, CuPy or dpnp view into a MultiFab,
@@ -701,8 +621,6 @@ def register_MultiFab_extension(amr):
     amr.MultiFab.__iter__ = lambda mfab: amr.MFIter(mfab)
 
     amr.MultiFab.to_numpy = mf_to_numpy
-    amr.MultiFab.to_cupy = mf_to_cupy
-    amr.MultiFab.to_dpnp = mf_to_dpnp
     amr.MultiFab.to_xp = mf_to_xp
 
     amr.MultiFab.copy = lambda self: copy_multifab(amr, self)
@@ -718,7 +636,6 @@ def register_MultiFab_extension(amr):
     amr.iMultiFab.__iter__ = lambda imfab: amr.MFIter(imfab)
 
     amr.iMultiFab.to_numpy = mf_to_numpy
-    amr.iMultiFab.to_cupy = mf_to_cupy
     amr.iMultiFab.to_xp = mf_to_xp
 
     amr.iMultiFab.copy = lambda self: copy_multifab(amr, self)