MLIA-589 Create an API to get target information

Change-Id: Ieeaa9188ea1e29e2ccaad7475d457bce71e3140d

3 files changed, 7 insertions, 187 deletions

diff --git a/src/mlia/target/cortex_a/__init__.py b/src/mlia/target/cortex_a/__init__.py
index fe01835..9b0e611 100644
--- a/src/mlia/target/cortex_a/__init__.py
+++ b/src/mlia/target/cortex_a/__init__.py
@@ -1,3 +1,7 @@
 # SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
 # SPDX-License-Identifier: Apache-2.0
 """Cortex-A target module."""
+from mlia.target.registry import registry
+from mlia.target.registry import TargetInfo
+
+registry.register("Cortex-A", TargetInfo(["ArmNNTFLiteDelegate"]))
diff --git a/src/mlia/target/cortex_a/operator_compatibility.py b/src/mlia/target/cortex_a/operator_compatibility.py
deleted file mode 100644
index c474e75..0000000
--- a/src/mlia/target/cortex_a/operator_compatibility.py
+++ /dev/null
@@ -1,184 +0,0 @@
-# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
-# SPDX-License-Identifier: Apache-2.0
-"""Collection of Cortex-A operator compatibility information."""
-from __future__ import annotations
-
-from typing import Any
-
-ARMNN_TFLITE_DELEGATE: dict[str, dict[str, Any]] = {
-    "metadata": {
-        "backend": "Arm NN TensorFlow Lite delegate",
-        "version": "22.08",
-    },
-    # BUILTIN OPERATORS
-    "builtin_ops": {
-        "ABS": {},
-        "ADD": {},
-        "ARG_MAX": {},
-        "ARG_MIN": {},
-        "AVERAGE_POOL_2D": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "TANH",
-                "NONE",
-            ]
-        },
-        "BATCH_TO_SPACE_ND": {},
-        "CAST": {},
-        "CONCATENATION": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "TANH",
-                "NONE",
-            ]
-        },
-        "CONV_2D": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "TANH",
-                "NONE",
-            ]
-        },
-        "CONV_3D": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "TANH",
-                "NONE",
-            ]
-        },
-        "DEPTH_TO_SPACE": {},
-        "DEPTHWISE_CONV_2D": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "TANH",
-                "NONE",
-            ]
-        },
-        "DEQUANTIZE": {},
-        "DIV": {},
-        "EQUAL": {},
-        "ELU": {},
-        "EXP": {},
-        "EXPAND_DIMS": {},
-        "FILL": {},
-        "FLOOR": {},
-        "FLOOR_DIV": {},
-        "FULLY_CONNECTED": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "TANH",
-                "NONE",
-            ]
-        },
-        "GATHER": {},
-        "GATHER_ND": {},
-        "GREATER": {},
-        "GREATER_EQUAL": {},
-        "HARD_SWISH": {},
-        "L2_NORMALIZATION": {},
-        "L2_POOL_2D": {},
-        "LESS": {},
-        "LESS_EQUAL": {},
-        "LOCAL_RESPONSE_NORMALIZATION": {},
-        "LOG": {},
-        "LOGICAL_AND": {},
-        "LOGICAL_NOT": {},
-        "LOGICAL_OR": {},
-        "LOGISTIC": {},
-        "LOG_SOFTMAX": {},
-        "LSTM": {},
-        "MAXIMUM": {},
-        "MAX_POOL_2D": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "TANH",
-                "NONE",
-            ]
-        },
-        "MEAN": {},
-        "MINIMUM": {},
-        "MIRROR_PAD": {},
-        "MUL": {},
-        "NEG": {},
-        "NOT_EQUAL": {},
-        "PACK": {},
-        "PAD": {},
-        "PADV2": {},
-        "PRELU": {},
-        "QUANTIZE": {},
-        "RANK": {},
-        "REDUCE_MAX": {},
-        "REDUCE_MIN": {},
-        "REDUCE_PROD": {},
-        "RELU": {},
-        "RELU6": {},
-        "RELU_N1_TO_1": {},
-        "RESHAPE": {},
-        "RESIZE_BILINEAR": {},
-        "RESIZE_NEAREST_NEIGHBOR": {},
-        "RSQRT": {},
-        "SHAPE": {},
-        "SIN": {},
-        "SOFTMAX": {},
-        "SPACE_TO_BATCH_ND": {},
-        "SPACE_TO_DEPTH": {},
-        "SPLIT": {},
-        "SPLIT_V": {},
-        "SQRT": {},
-        "SQUEEZE": {},
-        "STRIDED_SLICE": {},
-        "SUB": {},
-        "SUM": {},
-        "TANH": {},
-        "TRANSPOSE": {},
-        "TRANSPOSE_CONV": {},
-        "UNIDIRECTIONAL_SEQUENCE_LSTM": {},
-        "UNPACK": {},
-    },
-    # CUSTOM OPERATORS
-    "custom_ops": {
-        "AveragePool3D": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "SIGN_BIT",
-                "TANH",
-                "NONE",
-            ]
-        },
-        "MaxPool3D": {
-            "supported_fused_activation": [
-                "RELU",
-                "RELU6",
-                "RELU_N1_TO_1",
-                "SIGMOID",
-                "SIGN_BIT",
-                "TANH",
-                "NONE",
-            ]
-        },
-    },
-}
diff --git a/src/mlia/target/cortex_a/operators.py b/src/mlia/target/cortex_a/operators.py
index 91f1886..ae611e5 100644
--- a/src/mlia/target/cortex_a/operators.py
+++ b/src/mlia/target/cortex_a/operators.py
@@ -9,12 +9,12 @@ from pathlib import Path
 from typing import Any
 from typing import ClassVar
 
+from mlia.backend.armnn_tflite_delegate.compat import (
+    ARMNN_TFLITE_DELEGATE as TFLITE_DELEGATE_COMPAT,
+)
 from mlia.nn.tensorflow.tflite_graph import Op
 from mlia.nn.tensorflow.tflite_graph import parse_subgraphs
 from mlia.nn.tensorflow.tflite_graph import TFL_ACTIVATION_FUNCTION
-from mlia.target.cortex_a.operator_compatibility import (
-    ARMNN_TFLITE_DELEGATE as TFLITE_DELEGATE_COMPAT,
-)
 
 
 @dataclass