[MLIR][test] Fixup for checking for ml_dtypes

In order to optionally run some checks that depend on the `ml_dtypes`
python module we have to remove the `CHECK` lines for those tests or
they will be required and missed in the test output.

I've changed to use asserts as recommended in [1].

[1]: #123061 (comment)

Author: kwk

mlir/test/python/execution_engine.py

@@ -536,7 +536,6 @@ def testComplexUnrankedMemrefAdd():
 
 
 # Test bf16 memrefs
-# CHECK-LABEL: TEST: testBF16Memref
 def testBF16Memref():
     with Context():
         module = Module.parse(
@@ -566,17 +565,16 @@ def testBF16Memref():
         execution_engine.invoke("main", arg1_memref_ptr, arg2_memref_ptr)
 
         # test to-numpy utility
-        # CHECK: [0.5]
-        npout = ranked_memref_to_numpy(arg2_memref_ptr[0])
-        log(npout)
+        x = ranked_memref_to_numpy(arg2_memref_ptr[0])
+        assert len(x) == 1
+        assert x[0] == 0.5
 
 
 if HAS_ML_DTYPES:
     run(testBF16Memref)
 
 
 # Test f8E5M2 memrefs
-# CHECK-LABEL: TEST: testF8E5M2Memref
 def testF8E5M2Memref():
     with Context():
         module = Module.parse(
@@ -606,9 +604,9 @@ def testF8E5M2Memref():
         execution_engine.invoke("main", arg1_memref_ptr, arg2_memref_ptr)
 
         # test to-numpy utility
-        # CHECK: [0.5]
-        npout = ranked_memref_to_numpy(arg2_memref_ptr[0])
-        log(npout)
+        x = ranked_memref_to_numpy(arg2_memref_ptr[0])
+        assert len(x) == 1
+        assert x[0] == 0.5
 
 
 if HAS_ML_DTYPES: