Try to run full test suite in Numba backend

Author: ricardoV94

.github/workflows/test.yml

@@ -141,7 +141,7 @@ jobs:
         shell: bash -l {0}
         run: |
           mamba install --yes -q "python~=${PYTHON_VERSION}=*_cpython" mkl numpy scipy pip mkl-service graphviz cython pytest coverage pytest-cov pytest-benchmark pytest-mock sympy
-          if [[ $INSTALL_NUMBA == "1" ]]; then mamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}=*_cpython" "numba>=0.57"; fi
+          mamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}=*_cpython" "numba>=0.57"
           if [[ $INSTALL_JAX == "1" ]]; then mamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}=*_cpython" jax jaxlib numpyro && pip install tensorflow-probability; fi
           pip install -e ./
           mamba list && pip freeze

pytensor/compile/mode.py

@@ -61,9 +61,8 @@ def register_linker(name, linker):
 # If a string is passed as the optimizer argument in the constructor
 # for Mode, it will be used as the key to retrieve the real optimizer
 # in this dictionary
-exclude = []
-if not config.cxx:
-    exclude = ["cxx_only"]
+
+exclude = ["cxx_only", "BlasOpt"]
 OPT_NONE = RewriteDatabaseQuery(include=[], exclude=exclude)
 # Even if multiple merge optimizer call will be there, this shouldn't
 # impact performance.
@@ -437,16 +436,20 @@ def clone(self, link_kwargs=None, optimizer="", **kwargs):
 # string as the key
 # Use VM_linker to allow lazy evaluation by default.
 FAST_COMPILE = Mode(
-    VMLinker(use_cloop=False, c_thunks=False),
-    RewriteDatabaseQuery(include=["fast_compile", "py_only"]),
+    NumbaLinker(),
+    # TODO: Fast_compile should just use python code, CHANGE ME!
+    RewriteDatabaseQuery(
+        include=["fast_compile", "numba"],
+        exclude=["cxx_only", "BlasOpt", "local_careduce_fusion"],
+    ),
+)
+FAST_RUN = Mode(
+    NumbaLinker(),
+    RewriteDatabaseQuery(
+        include=["fast_run", "numba"],
+        exclude=["cxx_only", "BlasOpt", "local_careduce_fusion"],
+    ),
 )
-if config.cxx:
-    FAST_RUN = Mode("cvm", "fast_run")
-else:
-    FAST_RUN = Mode(
-        "vm",
-        RewriteDatabaseQuery(include=["fast_run", "py_only"]),
-    )
 
 JAX = Mode(
     JAXLinker(),
@@ -512,7 +515,7 @@ def get_mode(orig_string):
             # NanGuardMode use its own linker.
             ret = NanGuardMode(True, True, True, optimizer=config.optimizer)
         else:
-            # TODO: Can't we look up the name and invoke it rather than using eval here?
+            # TODO: Get rid of this? Or refactor?
             ret = eval(string + "(linker=config.linker, optimizer=config.optimizer)")
     elif string in predefined_modes:
         ret = predefined_modes[string]
@@ -541,6 +544,7 @@ def register_mode(name, mode):
     Add a `Mode` which can be referred to by `name` in `function`.
 
     """
+    # TODO: Remove me
     if name in predefined_modes:
         raise ValueError(f"Mode name already taken: {name}")
     predefined_modes[name] = mode

pytensor/configdefaults.py

@@ -461,7 +461,18 @@ def add_compile_configvars():
             "linker",
             "Default linker used if the pytensor flags mode is Mode",
             EnumStr(
-                "cvm", ["c|py", "py", "c", "c|py_nogc", "vm", "vm_nogc", "cvm_nogc"]
+                "numba",
+                [
+                    "cvm",
+                    "jax",
+                    "c|py",
+                    "py",
+                    "c",
+                    "c|py_nogc",
+                    "vm",
+                    "vm_nogc",
+                    "cvm_nogc",
+                ],
             ),
             in_c_key=False,
         )
@@ -471,7 +482,7 @@ def add_compile_configvars():
         config.add(
             "linker",
             "Default linker used if the pytensor flags mode is Mode",
-            EnumStr("vm", ["py", "vm_nogc"]),
+            EnumStr("numba", ["vm", "jax", "py", "vm_nogc"]),
             in_c_key=False,
         )
         if type(config).cxx.is_default: