feat: Enable rewrite parameterisation

Enables user to provide a toml or default profile to change training settings for rewrite optimization

Resolves: MLIA-1004

Signed-off-by: Nathan Bailey <nathan.bailey@arm.com>
Change-Id: I3bf9f44b9a2062fb71ef36eb32c9a69edcc48061

1 files changed, 12 insertions, 6 deletions

diff --git a/tests/conftest.py b/tests/conftest.py
index 1092979..53bfb0c 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -7,6 +7,7 @@ from typing import Callable
 from typing import Generator
 from unittest.mock import MagicMock
 
+import _pytest
 import numpy as np
 import pytest
 import tensorflow as tf
@@ -256,11 +257,16 @@ def fixture_test_tfrecord_fp32(
 
 
 @pytest.fixture(scope="session", autouse=True)
-def set_training_steps() -> Generator[None, None, None]:
+def set_training_steps(
+    request: _pytest.fixtures.SubRequest,
+) -> Generator[None, None, None]:
     """Speed up tests by using MockTrainingParameters."""
-    with pytest.MonkeyPatch.context() as monkeypatch:
-        monkeypatch.setattr(
-            "mlia.nn.select._get_rewrite_train_params",
-            MagicMock(return_value=MockTrainingParameters()),
-        )
+    if "set_training_steps" == request.fixturename:
         yield
+    else:
+        with pytest.MonkeyPatch.context() as monkeypatch:
+            monkeypatch.setattr(
+                "mlia.nn.select._get_rewrite_params",
+                MagicMock(return_value=[MockTrainingParameters(), None, None]),
+            )
+            yield