[Mlir-commits] [mlir] 34d5072 - [MLIR][test] Check for ml_dtypes before running tests (#123061)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Wed Jan 15 08:32:42 PST 2025
Author: Konrad Kleine
Date: 2025-01-15T17:32:38+01:00
New Revision: 34d50721dbc62fc08e39ee68d12e41ccf9c88b44
URL: https://github.com/llvm/llvm-project/commit/34d50721dbc62fc08e39ee68d12e41ccf9c88b44
DIFF: https://github.com/llvm/llvm-project/commit/34d50721dbc62fc08e39ee68d12e41ccf9c88b44.diff
LOG: [MLIR][test] Check for ml_dtypes before running tests (#123061)
We noticed that `mlir/python/requirements.txt` lists `ml_dtypes` as a requirement but when looking at the code in `mlir/python`, the only `import` is guarded:
```python
try:
import ml_dtypes
except ModuleNotFoundError:
# The third-party ml_dtypes provides some optional low precision data-types for NumPy.
ml_dtypes = None
```
This makes `ml_dtypes` an optional dependency.
Some python tests however partially depend on `ml_dtypes` and should not run if that module is unavailable. That is what this change does.
This is a replacement for #123051 which was excluding tests too broadly.
Added:
Modified:
mlir/test/python/execution_engine.py
Removed:
################################################################################
diff --git a/mlir/test/python/execution_engine.py b/mlir/test/python/execution_engine.py
index 0d12c35d96bee7..e3f41815800d58 100644
--- a/mlir/test/python/execution_engine.py
+++ b/mlir/test/python/execution_engine.py
@@ -5,7 +5,14 @@
from mlir.passmanager import *
from mlir.execution_engine import *
from mlir.runtime import *
-from ml_dtypes import bfloat16, float8_e5m2
+
+try:
+ from ml_dtypes import bfloat16, float8_e5m2
+
+ HAS_ML_DTYPES = True
+except ModuleNotFoundError:
+ HAS_ML_DTYPES = False
+
MLIR_RUNNER_UTILS = os.getenv(
"MLIR_RUNNER_UTILS", "../../../../lib/libmlir_runner_utils.so"
@@ -564,7 +571,8 @@ def testBF16Memref():
log(npout)
-run(testBF16Memref)
+if HAS_ML_DTYPES:
+ run(testBF16Memref)
# Test f8E5M2 memrefs
@@ -603,7 +611,8 @@ def testF8E5M2Memref():
log(npout)
-run(testF8E5M2Memref)
+if HAS_ML_DTYPES:
+ run(testF8E5M2Memref)
# Test addition of two 2d_memref
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