Use wheel from GitHub release

.github/workflows/ci.yml

@@ -11,20 +11,20 @@ jobs:
     strategy:
       matrix:
         os: ['ubuntu-latest']
-        python: ['3.10', '3.11', '3.12']
+        python: ['3.10'] # , '3.11', '3.12'
         pip_opts: ['']
         numba_boundscheck: [0]
-        include:
-          - os: macos-latest
-            python: '3.10'
-          - os: windows-latest
-            python: '3.10'
-          - os: ubuntu-latest
-            python: '3.10'
-            numba_boundscheck: 1
-          - os: ubuntu-latest
-            python: '3.10'
-            pip_opts: 'numpy<2'
+        # include:
+        #   - os: macos-latest
+        #     python: '3.10'
+        #   - os: windows-latest
+        #     python: '3.10'
+        #   - os: ubuntu-latest
+        #     python: '3.10'
+        #     numba_boundscheck: 1
+        #   - os: ubuntu-latest
+        #     python: '3.10'
+        #     pip_opts: 'numpy<2'
       fail-fast: false
     runs-on: ${{ matrix.os }}
     env:

ci/environment.yml

@@ -12,7 +12,7 @@ dependencies:
   - pytest
   - pytest-cov
   - pytest-xdist
-  - mlir-python-bindings==19.*
   - pip:
     - finch-tensor >=0.1.31
     - pytest-codspeed
+    - https://github.com/nullplay/Finch-mlir/releases/download/latest/mlir_finch-0.0.1-cp310-cp310-linux_x86_64.whl

sparse/mlir_backend/__init__.py

@@ -1,5 +1,5 @@
 try:
-    import mlir  # noqa: F401
+    import mlir_finch  # noqa: F401
 except ModuleNotFoundError as e:
     raise ImportError(
         "MLIR Python bindings not installed. Run "

sparse/mlir_backend/_common.py

@@ -4,7 +4,7 @@
 import weakref
 from dataclasses import dataclass
 
-from mlir import ir
+from mlir_finch import ir
 
 
 class MlirType(abc.ABC):

sparse/mlir_backend/_constructors.py

@@ -2,9 +2,9 @@
 from collections.abc import Iterable
 from typing import Any
 
-import mlir.runtime as rt
-from mlir import ir
-from mlir.dialects import sparse_tensor
+import mlir_finch.runtime as rt
+from mlir_finch import ir
+from mlir_finch.dialects import sparse_tensor
 
 import numpy as np
 import scipy.sparse as sps

sparse/mlir_backend/_core.py

@@ -2,14 +2,24 @@
 import ctypes.util
 import os
 import pathlib
+import sys
 
-from mlir.ir import Context
-from mlir.passmanager import PassManager
+from mlir_finch.ir import Context
+from mlir_finch.passmanager import PassManager
 
 DEBUG = bool(int(os.environ.get("DEBUG", "0")))
 CWD = pathlib.Path(".")
 
+LD_ENV_PATH = f"{sys.prefix}/lib/python3.10/site-packages/lib"
+
+if "LD_LIBRARY_PATH" in os.environ:
+    os.environ["LD_LIBRARY_PATH"] = f"{LD_ENV_PATH}:{os.environ['LD_LIBRARY_PATH']}"
+else:
+    os.environ["LD_LIBRARY_PATH"] = LD_ENV_PATH
+
 MLIR_C_RUNNER_UTILS = ctypes.util.find_library("mlir_c_runner_utils")
+if os.name == "posix":
+    MLIR_C_RUNNER_UTILS = f"{LD_ENV_PATH}/{MLIR_C_RUNNER_UTILS}"
 libc = ctypes.CDLL(ctypes.util.find_library("c")) if os.name != "nt" else ctypes.cdll.msvcrt
 libc.free.argtypes = [ctypes.c_void_p]
 libc.free.restype = None

sparse/mlir_backend/_dtypes.py

@@ -3,7 +3,7 @@
 import sys
 import typing
 
-from mlir import ir
+from mlir_finch import ir
 
 import numpy as np
 

sparse/mlir_backend/_ops.py

@@ -1,9 +1,9 @@
 import ctypes
 
-import mlir.execution_engine
-import mlir.passmanager
-from mlir import ir
-from mlir.dialects import arith, func, linalg, sparse_tensor, tensor
+import mlir_finch.execution_engine
+import mlir_finch.passmanager
+from mlir_finch import ir
+from mlir_finch.dialects import arith, func, linalg, sparse_tensor, tensor
 
 import numpy as np
 
@@ -67,7 +67,7 @@ def add(a, b):
         if DEBUG:
             (CWD / "add_module_opt.mlir").write_text(str(module))
 
-    return mlir.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=[MLIR_C_RUNNER_UTILS])
+    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=[MLIR_C_RUNNER_UTILS])
 
 
 @fn_cache
@@ -92,7 +92,7 @@ def reshape(a, shape):
             if DEBUG:
                 (CWD / "reshape_module_opt.mlir").write_text(str(module))
 
-    return mlir.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=[MLIR_C_RUNNER_UTILS])
+    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=[MLIR_C_RUNNER_UTILS])
 
 
 @fn_cache
@@ -120,7 +120,7 @@ def broadcast_to(in_tensor):
             if DEBUG:
                 (CWD / "broadcast_to_module_opt.mlir").write_text(str(module))
 
-    return mlir.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=[MLIR_C_RUNNER_UTILS])
+    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=[MLIR_C_RUNNER_UTILS])
 
 
 def add(x1: Tensor, x2: Tensor) -> Tensor: