feat: Implement fp32 sparsity 2:4 rewrite

- Update the existing placeholder with code to prune the given model

Resolves: MLIA-1002

Signed-off-by: Madeleine Dunn <madeleine.dunn@arm.com>
Change-Id: I76b0e0bfe81be5e57d518cd7bb588eef76a11641

2 files changed, 23 insertions, 2 deletions

diff --git a/tests/test_nn_rewrite_core_rewrite.py b/tests/test_nn_rewrite_core_rewrite.py
index 1d0100a..e614cad 100644
--- a/tests/test_nn_rewrite_core_rewrite.py
+++ b/tests/test_nn_rewrite_core_rewrite.py
@@ -39,6 +39,20 @@ def test_rewrite() -> None:
 
 
 @pytest.mark.parametrize(
+    "rewrite_name, callbacks_length",
+    [
+        ("fully-connected", 0),
+        ("fully-connected-sparsity24", 1),
+    ],
+)
+def test_rewrite_selection(rewrite_name: str, callbacks_length: int) -> None:
+    """Test that the correct rewrite class is instantiated."""
+    rewrite = RewritingOptimizer.registry.items[rewrite_name]
+    assert rewrite.name == rewrite_name
+    assert len(rewrite.training_callbacks()) == callbacks_length
+
+
+@pytest.mark.parametrize(
     "rewrite_name, expected_error",
     [
         ("fully-connected", does_not_raise()),
@@ -89,7 +103,7 @@ def test_rewriting_optimizer(
 
 
 def test_register_rewrite_function() -> None:
-    """Test adding rewrite functions and verify the are reported via the registry."""
+    """Test adding rewrite functions and verify they are reported via the registry."""
     registry = RewriteRegistry()
 
     rewrite1 = Rewrite("r1", cast(RewriteCallable, lambda: 1))
diff --git a/tests/test_nn_rewrite_core_train.py b/tests/test_nn_rewrite_core_train.py
index 624c5ed..34b9543 100644
--- a/tests/test_nn_rewrite_core_train.py
+++ b/tests/test_nn_rewrite_core_train.py
@@ -14,6 +14,7 @@ import pytest
 import tensorflow as tf
 from keras.api._v2 import keras  # Temporary workaround for now: MLIA-1107
 
+from mlia.nn.rewrite.core.rewrite import DynamicallyLoadedRewrite
 from mlia.nn.rewrite.core.train import augment_fn_twins
 from mlia.nn.rewrite.core.train import AUGMENTATION_PRESETS
 from mlia.nn.rewrite.core.train import LearningRateSchedule
@@ -53,12 +54,18 @@ def check_train(
     """Test the train() function."""
     with TemporaryDirectory() as tmp_dir:
         output_file = Path(tmp_dir, "out.tflite")
+        mock_rewrite = DynamicallyLoadedRewrite(
+            name="replace",
+            function_name=(
+                "tests.test_nn_rewrite_core_train.replace_fully_connected_with_conv"
+            ),
+        )
         result = train(
             source_model=str(tflite_model),
             unmodified_model=str(tflite_model) if use_unmodified_model else None,
             output_model=str(output_file),
             input_tfrec=str(tfrecord),
-            replace_fn=replace_fully_connected_with_conv,
+            rewrite=mock_rewrite,
             input_tensors=["sequential/flatten/Reshape"],
             output_tensors=["StatefulPartitionedCall:0"],
             train_params=train_params,