1 files changed, 140 insertions, 0 deletions
diff --git a/src/mlia/target/cortex_a/reporters.py b/src/mlia/target/cortex_a/reporters.py
new file mode 100644
index 0000000..d43d6c3
--- /dev/null
+++ b/src/mlia/target/cortex_a/reporters.py
@@ -0,0 +1,140 @@
+# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Reports module."""
+from __future__ import annotations
+
+from typing import Any
+from typing import Callable
+from typing import cast
+
+from mlia.core.advice_generation import Advice
+from mlia.core.reporters import report_advice
+from mlia.core.reporting import Cell
+from mlia.core.reporting import Column
+from mlia.core.reporting import Format
+from mlia.core.reporting import NestedReport
+from mlia.core.reporting import Report
+from mlia.core.reporting import ReportItem
+from mlia.core.reporting import Table
+from mlia.nn.tensorflow.tflite_compat import TFLiteCompatibilityInfo
+from mlia.target.cortex_a.config import CortexAConfiguration
+from mlia.target.cortex_a.operators import Operator
+from mlia.utils.console import style_improvement
+from mlia.utils.types import is_list_of
+
+
+def report_device(device: CortexAConfiguration) -> Report:
+    """Generate report for the device."""
+    return NestedReport(
+        "Device information",
+        "device",
+        [
+            ReportItem("Target", alias="target", value=device.target),
+        ],
+    )
+
+
+def report_tflite_compatiblity(compat_info: TFLiteCompatibilityInfo) -> Report:
+    """Generate report for the TensorFlow Lite compatibility information."""
+    if compat_info.conversion_errors:
+        return Table(
+            [
+                Column("#", only_for=["plain_text"]),
+                Column("Operator", alias="operator"),
+                Column(
+                    "Operator location",
+                    alias="operator_location",
+                    fmt=Format(wrap_width=25),
+                ),
+                Column("Error code", alias="error_code"),
+                Column(
+                    "Error message", alias="error_message", fmt=Format(wrap_width=25)
+                ),
+            ],
+            [
+                (
+                    index + 1,
+                    err.operator,
+                    ", ".join(err.location),
+                    err.code.name,
+                    err.message,
+                )
+                for index, err in enumerate(compat_info.conversion_errors)
+            ],
+            name="TensorFlow Lite conversion errors",
+            alias="tensorflow_lite_conversion_errors",
+        )
+
+    return Table(
+        columns=[
+            Column("Reason", alias="reason"),
+            Column(
+                "Exception details",
+                alias="exception_details",
+                fmt=Format(wrap_width=40),
+            ),
+        ],
+        rows=[
+            (
+                "TensorFlow Lite compatibility check failed with exception",
+                str(compat_info.conversion_exception),
+            ),
+        ],
+        name="TensorFlow Lite compatibility errors",
+        alias="tflite_compatibility",
+    )
+
+
+def report_cortex_a_operators(ops: list[Operator]) -> Report:
+    """Generate report for the operators."""
+    return Table(
+        [
+            Column("#", only_for=["plain_text"]),
+            Column(
+                "Operator location",
+                alias="operator_location",
+                fmt=Format(wrap_width=30),
+            ),
+            Column("Operator name", alias="operator_name", fmt=Format(wrap_width=20)),
+            Column(
+                "Arm NN TFLite Delegate compatibility",
+                alias="cortex_a_compatible",
+                fmt=Format(wrap_width=40),
+            ),
+        ],
+        [
+            (
+                index + 1,
+                op.location,
+                op.full_name,
+                Cell(
+                    op.support_type,
+                    Format(
+                        wrap_width=30,
+                        style=style_improvement(op.is_cortex_a_compatible),
+                        str_fmt=lambda v: cast(str, v.value),
+                    ),
+                ),
+            )
+            for index, op in enumerate(ops)
+        ],
+        name="Operators",
+        alias="operators",
+    )
+
+
+def cortex_a_formatters(data: Any) -> Callable[[Any], Report]:
+    """Find appropriate formatter for the provided data."""
+    if is_list_of(data, Advice):
+        return report_advice
+
+    if isinstance(data, CortexAConfiguration):
+        return report_device
+
+    if isinstance(data, TFLiteCompatibilityInfo):
+        return report_tflite_compatiblity
+
+    if is_list_of(data, Operator):
+        return report_cortex_a_operators
+
+    raise Exception(f"Unable to find appropriate formatter for {data}")