Rollback of DeviceBufferLike

python/cudf/cudf/_lib/column.pyi

@@ -5,16 +5,16 @@ from __future__ import annotations
 from typing import Dict, Optional, Tuple, TypeVar
 
 from cudf._typing import Dtype, DtypeObj, ScalarLike
-from cudf.core.buffer import DeviceBufferLike
+from cudf.core.buffer import Buffer
 from cudf.core.column import ColumnBase
 
 T = TypeVar("T")
 
 class Column:
-    _data: Optional[DeviceBufferLike]
-    _mask: Optional[DeviceBufferLike]
-    _base_data: Optional[DeviceBufferLike]
-    _base_mask: Optional[DeviceBufferLike]
+    _data: Optional[Buffer]
+    _mask: Optional[Buffer]
+    _base_data: Optional[Buffer]
+    _base_mask: Optional[Buffer]
     _dtype: DtypeObj
     _size: int
     _offset: int
@@ -25,10 +25,10 @@ class Column:
 
     def __init__(
         self,
-        data: Optional[DeviceBufferLike],
+        data: Optional[Buffer],
         size: int,
         dtype: Dtype,
-        mask: Optional[DeviceBufferLike] = None,
+        mask: Optional[Buffer] = None,
         offset: int = None,
         null_count: int = None,
         children: Tuple[ColumnBase, ...] = (),
@@ -40,27 +40,27 @@ class Column:
     @property
     def size(self) -> int: ...
     @property
-    def base_data(self) -> Optional[DeviceBufferLike]: ...
+    def base_data(self) -> Optional[Buffer]: ...
     @property
     def base_data_ptr(self) -> int: ...
     @property
-    def data(self) -> Optional[DeviceBufferLike]: ...
+    def data(self) -> Optional[Buffer]: ...
     @property
     def data_ptr(self) -> int: ...
-    def set_base_data(self, value: DeviceBufferLike) -> None: ...
+    def set_base_data(self, value: Buffer) -> None: ...
     @property
     def nullable(self) -> bool: ...
     def has_nulls(self, include_nan: bool = False) -> bool: ...
     @property
-    def base_mask(self) -> Optional[DeviceBufferLike]: ...
+    def base_mask(self) -> Optional[Buffer]: ...
     @property
     def base_mask_ptr(self) -> int: ...
     @property
-    def mask(self) -> Optional[DeviceBufferLike]: ...
+    def mask(self) -> Optional[Buffer]: ...
     @property
     def mask_ptr(self) -> int: ...
-    def set_base_mask(self, value: Optional[DeviceBufferLike]) -> None: ...
-    def set_mask(self: T, value: Optional[DeviceBufferLike]) -> T: ...
+    def set_base_mask(self, value: Optional[Buffer]) -> None: ...
+    def set_mask(self: T, value: Optional[Buffer]) -> T: ...
     @property
     def null_count(self) -> int: ...
     @property

python/cudf/cudf/_lib/column.pyx

@@ -8,7 +8,7 @@ import rmm
 import cudf
 import cudf._lib as libcudf
 from cudf.api.types import is_categorical_dtype
-from cudf.core.buffer import Buffer, DeviceBufferLike, as_device_buffer_like
+from cudf.core.buffer import Buffer, as_buffer
 
 from cpython.buffer cimport PyObject_CheckBuffer
 from libc.stdint cimport uintptr_t
@@ -39,9 +39,9 @@ cdef class Column:
     A Column stores columnar data in device memory.
     A Column may be composed of:
 
-    * A *data* DeviceBufferLike
+    * A *data* Buffer
     * One or more (optional) *children* Columns
-    * An (optional) *mask* DeviceBufferLike representing the nullmask
+    * An (optional) *mask* Buffer representing the nullmask
 
     The *dtype* indicates the Column's element type.
     """
@@ -106,9 +106,9 @@ cdef class Column:
             return self.data.ptr
 
     def set_base_data(self, value):
-        if value is not None and not isinstance(value, DeviceBufferLike):
+        if value is not None and not isinstance(value, Buffer):
             raise TypeError(
-                "Expected a DeviceBufferLike or None for data, "
+                "Expected a Buffer or None for data, "
                 f"got {type(value).__name__}"
             )
 
@@ -155,17 +155,17 @@ cdef class Column:
         modify size or offset in any way, so the passed mask is expected to be
         compatible with the current offset.
         """
-        if value is not None and not isinstance(value, DeviceBufferLike):
+        if value is not None and not isinstance(value, Buffer):
             raise TypeError(
-                "Expected a DeviceBufferLike or None for mask, "
+                "Expected a Buffer or None for mask, "
                 f"got {type(value).__name__}"
             )
 
         if value is not None:
             required_size = bitmask_allocation_size_bytes(self.base_size)
             if value.size < required_size:
                 error_msg = (
-                    "The DeviceBufferLike for mask is smaller than expected, "
+                    "The Buffer for mask is smaller than expected, "
                     f"got {value.size} bytes, expected {required_size} bytes."
                 )
                 if self.offset > 0 or self.size < self.base_size:
@@ -210,30 +210,30 @@ cdef class Column:
                 if isinstance(value, Column):
                     value = value.data_array_view
                 value = cp.asarray(value).view('|u1')
-            mask = as_device_buffer_like(value)
+            mask = as_buffer(value)
             if mask.size < required_num_bytes:
                 raise ValueError(error_msg.format(str(value.size)))
             if mask.size < mask_size:
                 dbuf = rmm.DeviceBuffer(size=mask_size)
                 dbuf.copy_from_device(value)
-                mask = as_device_buffer_like(dbuf)
+                mask = as_buffer(dbuf)
         elif hasattr(value, "__array_interface__"):
             value = np.asarray(value).view("u1")[:mask_size]
             if value.size < required_num_bytes:
                 raise ValueError(error_msg.format(str(value.size)))
             dbuf = rmm.DeviceBuffer(size=mask_size)
             dbuf.copy_from_host(value)
-            mask = as_device_buffer_like(dbuf)
+            mask = as_buffer(dbuf)
         elif PyObject_CheckBuffer(value):
             value = np.asarray(value).view("u1")[:mask_size]
             if value.size < required_num_bytes:
                 raise ValueError(error_msg.format(str(value.size)))
             dbuf = rmm.DeviceBuffer(size=mask_size)
             dbuf.copy_from_host(value)
-            mask = as_device_buffer_like(dbuf)
+            mask = as_buffer(dbuf)
         else:
             raise TypeError(
-                "Expected a DeviceBufferLike object or None for mask, "
+                "Expected a Buffer object or None for mask, "
                 f"got {type(value).__name__}"
             )
 
@@ -432,11 +432,11 @@ cdef class Column:
         cdef column_contents contents = move(c_col.get()[0].release())
 
         data = DeviceBuffer.c_from_unique_ptr(move(contents.data))
-        data = as_device_buffer_like(data)
+        data = as_buffer(data)
 
         if null_count > 0:
             mask = DeviceBuffer.c_from_unique_ptr(move(contents.null_mask))
-            mask = as_device_buffer_like(mask)
+            mask = as_buffer(mask)
         else:
             mask = None
 
@@ -461,8 +461,8 @@ cdef class Column:
         Given a ``cudf::column_view``, constructs a ``cudf.Column`` from it,
         along with referencing an ``owner`` Python object that owns the memory
         lifetime. If ``owner`` is a ``cudf.Column``, we reach inside of it and
-        make the owner of each newly created ``DeviceBufferLike`` the
-        respective ``DeviceBufferLike`` from the ``owner`` ``cudf.Column``.
+        make the owner of each newly created ``Buffer`` the respective
+        ``Buffer`` from the ``owner`` ``cudf.Column``.
         If ``owner`` is ``None``, we allocate new memory for the resulting
         ``cudf.Column``.
         """
@@ -487,18 +487,18 @@ cdef class Column:
 
         if data_ptr:
             if data_owner is None:
-                data = as_device_buffer_like(
+                data = as_buffer(
                     rmm.DeviceBuffer(ptr=data_ptr,
                                      size=(size+offset) * dtype.itemsize)
                 )
             else:
-                data = Buffer(
+                data = as_buffer(
                     data=data_ptr,
                     size=(base_size) * dtype.itemsize,
                     owner=data_owner
                 )
         else:
-            data = as_device_buffer_like(
+            data = as_buffer(
                 rmm.DeviceBuffer(ptr=data_ptr, size=0)
             )
 
@@ -528,14 +528,14 @@ cdef class Column:
                     # result:
                     mask = None
                 else:
-                    mask = as_device_buffer_like(
+                    mask = as_buffer(
                         rmm.DeviceBuffer(
                             ptr=mask_ptr,
                             size=bitmask_allocation_size_bytes(size+offset)
                         )
                     )
             else:
-                mask = Buffer(
+                mask = as_buffer(
                     data=mask_ptr,
                     size=bitmask_allocation_size_bytes(base_size),
                     owner=mask_owner

python/cudf/cudf/_lib/concat.pyx

@@ -19,7 +19,7 @@ from cudf._lib.utils cimport (
     table_view_from_table,
 )
 
-from cudf.core.buffer import as_device_buffer_like
+from cudf.core.buffer import as_buffer
 
 from rmm._lib.device_buffer cimport DeviceBuffer, device_buffer
 
@@ -31,7 +31,7 @@ cpdef concat_masks(object columns):
     with nogil:
         c_result = move(libcudf_concatenate_masks(c_views))
         c_unique_result = make_unique[device_buffer](move(c_result))
-    return as_device_buffer_like(
+    return as_buffer(
         DeviceBuffer.c_from_unique_ptr(move(c_unique_result))
     )
 

python/cudf/cudf/_lib/copying.pyx

@@ -12,7 +12,7 @@ from libcpp.vector cimport vector
 from rmm._lib.device_buffer cimport DeviceBuffer
 
 import cudf
-from cudf.core.buffer import Buffer
+from cudf.core.buffer import Buffer, as_buffer
 
 from cudf._lib.column cimport Column
 
@@ -721,7 +721,7 @@ cdef class _CPackedColumns:
         header = {}
         frames = []
 
-        gpu_data = Buffer(
+        gpu_data = as_buffer(
             data=self.gpu_data_ptr,
             size=self.gpu_data_size,
             owner=self

python/cudf/cudf/_lib/null_mask.pyx

@@ -22,7 +22,7 @@ from cudf._lib.cpp.table.table_view cimport table_view
 from cudf._lib.cpp.types cimport mask_state, size_type
 from cudf._lib.utils cimport table_view_from_columns
 
-from cudf.core.buffer import as_device_buffer_like
+from cudf.core.buffer import as_buffer
 
 
 class MaskState(Enum):
@@ -52,7 +52,7 @@ def copy_bitmask(Column col):
         up_db = make_unique[device_buffer](move(db))
 
     rmm_db = DeviceBuffer.c_from_unique_ptr(move(up_db))
-    buf = as_device_buffer_like(rmm_db)
+    buf = as_buffer(rmm_db)
     return buf
 
 
@@ -98,7 +98,7 @@ def create_null_mask(size_type size, state=MaskState.UNINITIALIZED):
         up_db = make_unique[device_buffer](move(db))
 
     rmm_db = DeviceBuffer.c_from_unique_ptr(move(up_db))
-    buf = as_device_buffer_like(rmm_db)
+    buf = as_buffer(rmm_db)
     return buf
 
 
@@ -110,7 +110,7 @@ def bitmask_and(columns: list):
         c_result = move(cpp_bitmask_and(c_view))
         up_db = make_unique[device_buffer](move(c_result.first))
     dbuf = DeviceBuffer.c_from_unique_ptr(move(up_db))
-    buf = as_device_buffer_like(dbuf)
+    buf = as_buffer(dbuf)
     return buf, c_result.second
 
 
@@ -122,5 +122,5 @@ def bitmask_or(columns: list):
         c_result = move(cpp_bitmask_or(c_view))
         up_db = make_unique[device_buffer](move(c_result.first))
     dbuf = DeviceBuffer.c_from_unique_ptr(move(up_db))
-    buf = as_device_buffer_like(dbuf)
+    buf = as_buffer(dbuf)
     return buf, c_result.second

python/cudf/cudf/_lib/transform.pyx

@@ -5,7 +5,7 @@ from numba.np import numpy_support
 import cudf
 from cudf._lib.types import SUPPORTED_NUMPY_TO_LIBCUDF_TYPES
 from cudf.core._internals.expressions import parse_expression
-from cudf.core.buffer import as_device_buffer_like
+from cudf.core.buffer import as_buffer
 from cudf.utils import cudautils
 
 from cython.operator cimport dereference
@@ -37,7 +37,7 @@ from cudf._lib.utils cimport (
 def bools_to_mask(Column col):
     """
     Given an int8 (boolean) column, compress the data from booleans to bits and
-    return a DeviceBufferLike
+    return a Buffer
     """
     cdef column_view col_view = col.view()
     cdef pair[unique_ptr[device_buffer], size_type] cpp_out
@@ -48,7 +48,7 @@ def bools_to_mask(Column col):
         up_db = move(cpp_out.first)
 
     rmm_db = DeviceBuffer.c_from_unique_ptr(move(up_db))
-    buf = as_device_buffer_like(rmm_db)
+    buf = as_buffer(rmm_db)
     return buf
 
 
@@ -57,9 +57,9 @@ def mask_to_bools(object mask_buffer, size_type begin_bit, size_type end_bit):
     Given a mask buffer, returns a boolean column representng bit 0 -> False
     and 1 -> True within range of [begin_bit, end_bit),
     """
-    if not isinstance(mask_buffer, cudf.core.buffer.DeviceBufferLike):
+    if not isinstance(mask_buffer, cudf.core.buffer.Buffer):
         raise TypeError("mask_buffer is not an instance of "
-                        "cudf.core.buffer.DeviceBufferLike")
+                        "cudf.core.buffer.Buffer")
     cdef bitmask_type* bit_mask = <bitmask_type*><uintptr_t>(mask_buffer.ptr)
 
     cdef unique_ptr[column] result
@@ -84,7 +84,7 @@ def nans_to_nulls(Column input):
         return None
 
     buffer = DeviceBuffer.c_from_unique_ptr(move(c_buffer))
-    buffer = as_device_buffer_like(buffer)
+    buffer = as_buffer(buffer)
     return buffer
 
 

python/cudf/cudf/_lib/utils.pyx

@@ -340,8 +340,8 @@ cdef data_from_table_view(
     along with referencing an ``owner`` Python object that owns the memory
     lifetime. If ``owner`` is a Frame we reach inside of it and
     reach inside of each ``cudf.Column`` to make the owner of each newly
-    created ``DeviceBufferLike`` underneath the ``cudf.Column`` objects of the
-    created Frame the respective ``DeviceBufferLike`` from the relevant
+    created ``Buffer`` underneath the ``cudf.Column`` objects of the
+    created Frame the respective ``Buffer`` from the relevant
     ``cudf.Column`` of the ``owner`` Frame
     """
     cdef size_type column_idx = 0