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Diffstat (limited to 'src/mlia/devices/cortexa/advice_generation.py')
| -rw-r--r-- | src/mlia/devices/cortexa/advice_generation.py | 153 |
1 files changed, 0 insertions, 153 deletions
diff --git a/src/mlia/devices/cortexa/advice_generation.py b/src/mlia/devices/cortexa/advice_generation.py deleted file mode 100644 index bab9530..0000000 --- a/src/mlia/devices/cortexa/advice_generation.py +++ /dev/null @@ -1,153 +0,0 @@ -# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. -# SPDX-License-Identifier: Apache-2.0 -"""Cortex-A advice generation.""" -from functools import singledispatchmethod - -from mlia.core.advice_generation import advice_category -from mlia.core.advice_generation import FactBasedAdviceProducer -from mlia.core.common import AdviceCategory -from mlia.core.common import DataItem -from mlia.devices.cortexa.data_analysis import ModelHasCustomOperators -from mlia.devices.cortexa.data_analysis import ModelIsCortexACompatible -from mlia.devices.cortexa.data_analysis import ModelIsNotCortexACompatible -from mlia.devices.cortexa.data_analysis import ModelIsNotTFLiteCompatible -from mlia.devices.cortexa.data_analysis import TFLiteCompatibilityCheckFailed - - -class CortexAAdviceProducer(FactBasedAdviceProducer): - """Cortex-A advice producer.""" - - cortex_a_disclaimer = ( - "Note that the provided compatibility information is general. " - "At runtime individual operators in the given model might fall back to " - "the TensorFlow Lite reference or might produce errors based on the " - "specific parameters." - ) - - @singledispatchmethod - def produce_advice(self, _data_item: DataItem) -> None: # type: ignore - """Produce advice.""" - - @produce_advice.register - @advice_category(AdviceCategory.ALL, AdviceCategory.OPERATORS) - def handle_model_is_cortex_a_compatible( - self, data_item: ModelIsCortexACompatible - ) -> None: - """Advice for Cortex-A compatibility.""" - self.add_advice( - [ - f"Model is fully compatible with {data_item.backend_info} for " - "Cortex-A.", - self.cortex_a_disclaimer, - ] - ) - - @produce_advice.register - @advice_category(AdviceCategory.ALL, AdviceCategory.OPERATORS) - def handle_model_is_not_cortex_a_compatible( - self, data_item: ModelIsNotCortexACompatible - ) -> None: - """Advice for Cortex-A compatibility.""" - if data_item.unsupported_ops: - self.add_advice( - [ - "The following operators are not supported by " - f"{data_item.backend_info} and will fall back to the " - "TensorFlow Lite runtime:", - "\n".join(f" - {op}" for op in data_item.unsupported_ops), - ] - ) - - if data_item.activation_func_support: - self.add_advice( - [ - "The fused activation functions of the following operators " - f"are not supported by {data_item.backend_info}. Please " - "consider using one of the supported activation functions " - "instead:", - "\n".join( - f" - {op}\n" - f" - Used unsupported: {act.used_unsupported}\n" - f" - Supported: {act.supported}" - for op, act in data_item.activation_func_support.items() - ), - ] - ) - - self.add_advice( - [ - "Please, refer to the full table of operators above for more " - "information.", - self.cortex_a_disclaimer, - ] - ) - - @produce_advice.register - @advice_category(AdviceCategory.ALL, AdviceCategory.OPERATORS) - def handle_model_is_not_tflite_compatible( - self, data_item: ModelIsNotTFLiteCompatible - ) -> None: - """Advice for TensorFlow Lite compatibility.""" - if data_item.flex_ops: - self.add_advice( - [ - "The following operators are not natively " - "supported by TensorFlow Lite: " - f"{', '.join(data_item.flex_ops)}.", - "Using select TensorFlow operators in TensorFlow Lite model " - "requires special initialization of TFLiteConverter and " - "TensorFlow Lite run-time.", - "Please refer to the TensorFlow documentation for more " - "details: https://www.tensorflow.org/lite/guide/ops_select", - "Note, such models are not supported by the ML Inference Advisor.", - ] - ) - - if data_item.custom_ops: - self.add_advice( - [ - "The following operators appear to be custom and not natively " - "supported by TensorFlow Lite: " - f"{', '.join(data_item.custom_ops)}.", - "Using custom operators in TensorFlow Lite model " - "requires special initialization of TFLiteConverter and " - "TensorFlow Lite run-time.", - "Please refer to the TensorFlow documentation for more " - "details: https://www.tensorflow.org/lite/guide/ops_custom", - "Note, such models are not supported by the ML Inference Advisor.", - ] - ) - - if not data_item.flex_ops and not data_item.custom_ops: - self.add_advice( - [ - "Model could not be converted into TensorFlow Lite format.", - "Please refer to the table for more details.", - ] - ) - - @produce_advice.register - @advice_category(AdviceCategory.ALL, AdviceCategory.OPERATORS) - def handle_tflite_check_failed( - self, _data_item: TFLiteCompatibilityCheckFailed - ) -> None: - """Advice for the failed TensorFlow Lite compatibility checks.""" - self.add_advice( - [ - "Model could not be converted into TensorFlow Lite format.", - "Please refer to the table for more details.", - ] - ) - - @produce_advice.register - @advice_category(AdviceCategory.ALL, AdviceCategory.OPERATORS) - def handle_model_has_custom_operators( - self, _data_item: ModelHasCustomOperators - ) -> None: - """Advice for the models with custom operators.""" - self.add_advice( - [ - "Models with custom operators require special initialization " - "and currently are not supported by the ML Inference Advisor.", - ] - ) |