MLIA-551 Rework remains of AIET architecture

Re-factoring the code base to further merge the old AIET code into MLIA.

- Remove last traces of the backend type 'tool'
- Controlled systems removed, including SSH protocol, controller,
  RunningCommand, locks etc.
- Build command / build dir and deploy functionality removed from
  Applications and Systems
- Moving working_dir()
- Replace module 'output_parser' with new module 'output_consumer' and
  merge Base64 parsing into it
- Change the output consumption to optionally remove (i.e. actually
  consume) lines
- Use Base64 parsing in GenericInferenceOutputParser, replacing the
  regex-based parsing and remove the now unused regex parsing
- Remove AIET reporting
- Pre-install applications by moving them to src/mlia/resources/backends
- Rename aiet-config.json to backend-config.json
- Move tests from tests/mlia/ to tests/
- Adapt unit tests to code changes
- Dependencies removed: paramiko, filelock, psutil
- Fix bug in corstone.py: The wrong resource directory was used which
  broke the functionality to download backends.
- Use f-string formatting.
- Use logging instead of print.

Change-Id: I768bc3bb6b2eda57d219ad01be4a8e0a74167d76

3 files changed, 48 insertions, 0 deletions

diff --git a/tests/utils/__init__.py b/tests/utils/__init__.py
new file mode 100644
index 0000000..27166ef
--- /dev/null
+++ b/tests/utils/__init__.py
@@ -0,0 +1,3 @@
+# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Test utils module."""
diff --git a/tests/utils/common.py b/tests/utils/common.py
new file mode 100644
index 0000000..932343e
--- /dev/null
+++ b/tests/utils/common.py
@@ -0,0 +1,32 @@
+# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Common test utils module."""
+from typing import Tuple
+
+import numpy as np
+import tensorflow as tf
+
+
+def get_dataset() -> Tuple[np.ndarray, np.ndarray]:
+    """Return sample dataset."""
+    mnist = tf.keras.datasets.mnist
+    (x_train, y_train), _ = mnist.load_data()
+    x_train = x_train / 255.0
+
+    # Use subset of 60000 examples to keep unit test speed fast.
+    x_train = x_train[0:1]
+    y_train = y_train[0:1]
+
+    return x_train, y_train
+
+
+def train_model(model: tf.keras.Model) -> None:
+    """Train model using sample dataset."""
+    num_epochs = 1
+
+    loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
+    model.compile(optimizer="adam", loss=loss_fn, metrics=["accuracy"])
+
+    x_train, y_train = get_dataset()
+
+    model.fit(x_train, y_train, epochs=num_epochs)
diff --git a/tests/utils/logging.py b/tests/utils/logging.py
new file mode 100644
index 0000000..d223fb2
--- /dev/null
+++ b/tests/utils/logging.py
@@ -0,0 +1,13 @@
+# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Utils for logging."""
+import logging
+
+
+def clear_loggers() -> None:
+    """Close the log handlers."""
+    for _, logger in logging.Logger.manager.loggerDict.items():
+        if not isinstance(logger, logging.PlaceHolder):
+            for handler in logger.handlers:
+                handler.close()
+                logger.removeHandler(handler)