Make Numba the default backend for testing

Do not merge this commit; it is intended for temporary use in a draft PR.

Author: brandonwillard

.github/workflows/test.yml

@@ -66,7 +66,7 @@ jobs:
     runs-on: ubuntu-latest
     if: ${{ needs.changes.outputs.changes == 'true' && needs.style.result == 'success' }}
     strategy:
-      fail-fast: true
+      fail-fast: false
       matrix:
         python-version: ["3.7", "3.9"]
         fast-compile: [0]
@@ -132,7 +132,7 @@ jobs:
           if [[ $FAST_COMPILE == "1" ]]; then export AESARA_FLAGS=$AESARA_FLAGS,mode=FAST_COMPILE; fi
           if [[ $FLOAT32 == "1" ]]; then export AESARA_FLAGS=$AESARA_FLAGS,floatX=float32; fi
           export AESARA_FLAGS=$AESARA_FLAGS,warn__ignore_bug_before=all,on_opt_error=raise,on_shape_error=raise,gcc__cxxflags=-pipe
-          python -m pytest -x -r A --verbose --runslow --cov=aesara/ --cov-report=xml:coverage/coverage-${MATRIX_ID}.xml --no-cov-on-fail $PART
+          python -m pytest --verbose --runslow --cov=aesara/ --cov-report=xml:coverage/coverage-${MATRIX_ID}.xml --no-cov-on-fail $PART
         env:
           MATRIX_ID: ${{ steps.matrix-id.outputs.id }}
           MKL_THREADING_LAYER: GNU

aesara/compile/mode.py

@@ -42,9 +42,9 @@
     "c": CLinker(),  # Don't support gc. so don't check allow_gc
     "c|py": OpWiseCLinker(),  # Use allow_gc Aesara flag
     "c|py_nogc": OpWiseCLinker(allow_gc=False),
-    "vm": VMLinker(use_cloop=False),  # Use allow_gc Aesara flag
+    "vm": NumbaLinker(),  # VMLinker(use_cloop=False),  # Use allow_gc Aesara flag
     "cvm": VMLinker(use_cloop=True),  # Use allow_gc Aesara flag
-    "vm_nogc": VMLinker(allow_gc=False, use_cloop=False),
+    "vm_nogc": NumbaLinker(),  # VMLinker(allow_gc=False, use_cloop=False),
     "cvm_nogc": VMLinker(allow_gc=False, use_cloop=True),
     "jax": JAXLinker(),
     "numba": NumbaLinker(),
@@ -441,9 +441,9 @@ def clone(self, link_kwargs=None, optimizer="", **kwargs):
 # Use VM_linker to allow lazy evaluation by default.
 FAST_COMPILE = Mode(VMLinker(use_cloop=False, c_thunks=False), "fast_compile")
 if config.cxx:
-    FAST_RUN = Mode("cvm", "fast_run")
+    FAST_RUN = Mode("numba", "fast_run")
 else:
-    FAST_RUN = Mode("vm", "fast_run")
+    FAST_RUN = Mode("numba", "fast_run")
 
 JAX = Mode(
     JAXLinker(),

aesara/configdefaults.py

@@ -392,7 +392,7 @@ def add_compile_configvars():
     config.add(
         "mode",
         "Default compilation mode",
-        ConfigParam("Mode", apply=_filter_mode),
+        ConfigParam("NUMBA", apply=_filter_mode),
         in_c_key=False,
     )
 
@@ -463,7 +463,18 @@ def add_compile_configvars():
             "linker",
             "Default linker used if the aesara flags mode is Mode",
             EnumStr(
-                "cvm", ["c|py", "py", "c", "c|py_nogc", "vm", "vm_nogc", "cvm_nogc"]
+                "numba",
+                [
+                    "c|py",
+                    "py",
+                    "c",
+                    "c|py_nogc",
+                    "vm",
+                    "vm_nogc",
+                    "cvm_nogc",
+                    "numba",
+                    "jax",
+                ],
             ),
             in_c_key=False,
         )
@@ -473,7 +484,7 @@ def add_compile_configvars():
         config.add(
             "linker",
             "Default linker used if the aesara flags mode is Mode",
-            EnumStr("vm", ["py", "vm_nogc"]),
+            EnumStr("numba", ["py", "vm_nogc", "vm", "numba", "jax"]),
             in_c_key=False,
         )
         if type(config).cxx.is_default:

tests/scan/test_basic.py

@@ -248,7 +248,7 @@ class TestScan:
         "rng_type",
         [
             np.random.default_rng,
-            np.random.RandomState,
+            # np.random.RandomState,
         ],
     )
     def test_inner_graph_cloning(self, rng_type):
@@ -396,7 +396,7 @@ def f_pow2(x_tm1):
         assert all(i.value is None for i in scan_node.op.fn.input_storage)
         assert all(o.value is None for o in scan_node.op.fn.output_storage)
 
-    @pytest.mark.parametrize("mode", [Mode(linker="py"), Mode(linker="cvm")])
+    @pytest.mark.parametrize("mode", ["NUMBA", Mode(linker="py"), Mode(linker="cvm")])
     @pytest.mark.parametrize(
         "x_init",
         [
@@ -421,7 +421,12 @@ def f_pow(x_tm1):
         assert res.dtype == exp_res.dtype
 
     @pytest.mark.parametrize(
-        "mode", [Mode(linker="py", optimizer=None), Mode(linker="cvm", optimizer=None)]
+        "mode",
+        [
+            "NUMBA",
+            Mode(linker="py", optimizer=None),
+            Mode(linker="cvm", optimizer=None),
+        ],
     )
     @pytest.mark.parametrize(
         "x",
@@ -459,7 +464,12 @@ def inner_fn(x_seq, x_i):
         assert res.dtype == exp_res.dtype
 
     @pytest.mark.parametrize(
-        "mode", [Mode(linker="py", optimizer=None), Mode(linker="cvm", optimizer=None)]
+        "mode",
+        [
+            "NUMBA",
+            Mode(linker="py", optimizer=None),
+            Mode(linker="cvm", optimizer=None),
+        ],
     )
     @pytest.mark.parametrize(
         "x",
@@ -1126,7 +1136,7 @@ def test_inner_grad(self):
         utt.assert_allclose(out, vR)
 
     @pytest.mark.parametrize(
-        "mode", [Mode(linker="cvm", optimizer=None), Mode(linker="cvm")]
+        "mode", ["NUMBA", Mode(linker="cvm", optimizer=None), Mode(linker="cvm")]
     )
     def test_sequence_is_scan(self, mode):
         """Make sure that a `Scan` can be used as a sequence input to another `Scan`."""

tests/tensor/test_basic.py

@@ -146,7 +146,7 @@
 )
 
 
-pytestmark = pytest.mark.filterwarnings("error")
+# pytestmark = pytest.mark.filterwarnings("error")
 
 if config.mode == "FAST_COMPILE":
     mode_opt = "FAST_RUN"

tests/tensor/test_var.py

@@ -36,7 +36,7 @@
 from tests.tensor.utils import random
 
 
-pytestmark = pytest.mark.filterwarnings("error")
+# pytestmark = pytest.mark.filterwarnings("error")
 
 
 @pytest.mark.parametrize(