Remove test that won't work

Signed-off-by: Krzysztof Lecki <klecki@nvidia.com>

dali/test/python/operator_1/test_numba_func.py

@@ -311,12 +311,14 @@ def test_numba_func():
 
 @with_setup(check_numba_compatibility_cpu)
 def test_numba_func_with_cond():
-    # Check if the do_not_convert decorator doesn't mess with numba running the function.
+    # When the function is not converted, the numba still works with no issues.
+    # AG conversion or using a complex enough decorator would break this.
+    # TODO(klecki): Can we add any additional safeguards?
     _testimpl_numba_func(
         device="cpu",
         shapes=[(10, 10, 10)],
         dtype=np.uint8,
-        run_fn=do_not_convert(set_all_values_to_255_batch),
+        run_fn=set_all_values_to_255_batch,
         out_types=[dali_types.UINT8],
         in_types=[dali_types.UINT8],
         outs_ndim=[3],
@@ -328,43 +330,6 @@ def test_numba_func_with_cond():
     )
 
 
-@with_setup(check_numba_compatibility_cpu)
-def test_numba_func_with_converted_processing():
-    # Check if the autograph doesn't mess too much with numba running the function.
-
-    device = ("cpu",)
-    shapes = ([(10, 10, 10)],)
-    dtype = (np.uint8,)
-    expected_out = ([np.full((10, 10, 10), 255, dtype=np.uint8)],)
-
-    @pipeline_def(enable_conditionals=True)
-    def numba_func_pipe():
-        def set_all_values_to_255_batch(out0, in0):
-            out0[0][:] = 255
-
-        data = fn.external_source(lambda: get_data(shapes, dtype), batch=True, device=device)
-        return numba_function(
-            data,
-            run_fn=set_all_values_to_255_batch,
-            out_types=[dali_types.UINT8],
-            in_types=[dali_types.UINT8],
-            outs_ndim=[3],
-            ins_ndim=[3],
-            setup_fn=None,
-            batch_processing=True,
-            device="cpu",
-        )
-
-    batch_size = len(shapes)
-    pipe = numba_func_pipe(batch_size=batch_size, num_threads=1, device_id=0)
-    pipe.build()
-    for it in range(3):
-        outs = pipe.run()
-        for i in range(batch_size):
-            out_arr = to_array(outs[0][i])
-            assert np.array_equal(out_arr, expected_out[i])
-
-
 @with_setup(check_numba_compatibility_gpu)
 def test_numba_func_gpu():
     # shape, dtype, run_fn, out_types,