[Sparse] Remove unnecessary API exposure. (#5135)

* remove unnecessary exposure.

* remove_add_power

* remove_warning

* reorder
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

docs/source/api/python/dgl.sparse_v0.rst

@@ -5,9 +5,6 @@ dgl.sparse
 
 `dgl.sparse` is a library for sparse operators that are commonly used in GNN models.
 
-.. warning::
-    This is an experimental package. The sparse operators provided in this library do not guarantee the same performance as their message-passing api counterparts.
-
 Sparse matrix class
 -------------------------
 .. currentmodule:: dgl.sparse
@@ -85,16 +82,15 @@ Attributes and methods
     SparseMatrix.dtype
     SparseMatrix.device
     SparseMatrix.val
-    SparseMatrix.__repr__
     SparseMatrix.row
     SparseMatrix.col
-    SparseMatrix.indices
     SparseMatrix.coo
     SparseMatrix.csr
     SparseMatrix.csc
     SparseMatrix.coalesce
     SparseMatrix.has_duplicate
     SparseMatrix.dense
+    SparseMatrix.transpose
     SparseMatrix.t
     SparseMatrix.T
     SparseMatrix.to
@@ -104,7 +100,6 @@ Attributes and methods
     SparseMatrix.double
     SparseMatrix.int
     SparseMatrix.long
-    SparseMatrix.transpose
     SparseMatrix.reduce
     SparseMatrix.sum
     SparseMatrix.smax
@@ -112,7 +107,6 @@ Attributes and methods
     SparseMatrix.smean
     SparseMatrix.neg
     SparseMatrix.softmax
-    SparseMatrix.__matmul__
 
 Diagonal matrix class
 -------------------------
@@ -140,12 +134,11 @@ Attributes and methods
     DiagMatrix.dtype
     DiagMatrix.device
     DiagMatrix.val
-    DiagMatrix.__repr__
     DiagMatrix.as_sparse
     DiagMatrix.dense
+    DiagMatrix.transpose
     DiagMatrix.t
     DiagMatrix.T
-    DiagMatrix.transpose
     DiagMatrix.to
     DiagMatrix.cuda
     DiagMatrix.cpu
@@ -155,7 +148,6 @@ Attributes and methods
     DiagMatrix.long
     DiagMatrix.neg
     DiagMatrix.inv
-    DiagMatrix.__matmul__
 
 Operators
 ---------
@@ -164,16 +156,6 @@ Operators
 .. autosummary::
     :toctree: ../../generated/
 
-    sp_add
-    sp_mul
-    sp_power
-    diag_add
-    diag_sub
-    diag_mul
-    diag_div
-    diag_power
-    add
-    power
     spmm
     bspmm
     spspmm

python/dgl/sparse/elementwise_op_diag.py

@@ -4,8 +4,6 @@ from typing import Union
 from .diag_matrix import diag, DiagMatrix
 from .sparse_matrix import SparseMatrix
 
-__all__ = ["diag_add", "diag_sub", "diag_mul", "diag_div", "diag_power"]
-
 
 def diag_add(
     D1: DiagMatrix, D2: Union[DiagMatrix, SparseMatrix]

python/dgl/sparse/elementwise_op_sp.py

@@ -6,8 +6,6 @@ import torch
 from .diag_matrix import DiagMatrix
 from .sparse_matrix import SparseMatrix, val_like
 
-__all__ = ["sp_add", "sp_mul", "sp_power"]
-
 
 def spsp_add(A, B):
     """Invoke C++ sparse library for addition"""