diff options
Diffstat (limited to 'src/mlia/target/cortex_a')
| -rw-r--r-- | src/mlia/target/cortex_a/advice_generation.py | 53 | ||||
| -rw-r--r-- | src/mlia/target/cortex_a/data_analysis.py | 36 | ||||
| -rw-r--r-- | src/mlia/target/cortex_a/reporters.py | 54 |
3 files changed, 11 insertions, 132 deletions
diff --git a/src/mlia/target/cortex_a/advice_generation.py b/src/mlia/target/cortex_a/advice_generation.py index 98e8c06..1011d6c 100644 --- a/src/mlia/target/cortex_a/advice_generation.py +++ b/src/mlia/target/cortex_a/advice_generation.py @@ -7,11 +7,13 @@ 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.target.cortex_a.data_analysis import ModelHasCustomOperators +from mlia.target.common.reporters import handle_model_is_not_tflite_compatible_common +from mlia.target.common.reporters import handle_tflite_check_failed_common +from mlia.target.common.reporters import ModelHasCustomOperators +from mlia.target.common.reporters import ModelIsNotTFLiteCompatible +from mlia.target.common.reporters import TFLiteCompatibilityCheckFailed from mlia.target.cortex_a.data_analysis import ModelIsCortexACompatible from mlia.target.cortex_a.data_analysis import ModelIsNotCortexACompatible -from mlia.target.cortex_a.data_analysis import ModelIsNotTFLiteCompatible -from mlia.target.cortex_a.data_analysis import TFLiteCompatibilityCheckFailed class CortexAAdviceProducer(FactBasedAdviceProducer): @@ -88,43 +90,7 @@ class CortexAAdviceProducer(FactBasedAdviceProducer): 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.", - ] - ) + handle_model_is_not_tflite_compatible_common(self, data_item) @produce_advice.register @advice_category(AdviceCategory.COMPATIBILITY) @@ -132,12 +98,7 @@ class CortexAAdviceProducer(FactBasedAdviceProducer): 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.", - ] - ) + handle_tflite_check_failed_common(self, _data_item) @produce_advice.register @advice_category(AdviceCategory.COMPATIBILITY) diff --git a/src/mlia/target/cortex_a/data_analysis.py b/src/mlia/target/cortex_a/data_analysis.py index 089c1a2..3161618 100644 --- a/src/mlia/target/cortex_a/data_analysis.py +++ b/src/mlia/target/cortex_a/data_analysis.py @@ -12,6 +12,7 @@ from mlia.core.common import DataItem from mlia.core.data_analysis import Fact from mlia.core.data_analysis import FactExtractor from mlia.nn.tensorflow.tflite_compat import TFLiteCompatibilityInfo +from mlia.target.common.reporters import analyze_tflite_compatibility_common from mlia.target.cortex_a.operators import CortexACompatibilityInfo @@ -64,22 +65,7 @@ class CortexADataAnalyzer(FactExtractor): @analyze_data.register def analyze_tflite_compatibility(self, data_item: TFLiteCompatibilityInfo) -> None: """Analyze TensorFlow Lite compatibility information.""" - if data_item.compatible: - return - - if data_item.conversion_failed_with_errors: - self.add_fact( - ModelIsNotTFLiteCompatible( - custom_ops=data_item.required_custom_ops, - flex_ops=data_item.required_flex_ops, - ) - ) - - if data_item.check_failed_with_unknown_error: - self.add_fact(TFLiteCompatibilityCheckFailed()) - - if data_item.conversion_failed_for_model_with_custom_ops: - self.add_fact(ModelHasCustomOperators()) + analyze_tflite_compatibility_common(self, data_item) @dataclass @@ -107,21 +93,3 @@ class ModelIsNotCortexACompatible(CortexACompatibility): unsupported_ops: set[str] activation_func_support: dict[str, ActivationFunctionSupport] - - -@dataclass -class ModelIsNotTFLiteCompatible(Fact): - """Model could not be converted into TensorFlow Lite format.""" - - custom_ops: list[str] | None = None - flex_ops: list[str] | None = None - - -@dataclass -class TFLiteCompatibilityCheckFailed(Fact): - """TensorFlow Lite compatibility check failed by unknown reason.""" - - -@dataclass -class ModelHasCustomOperators(Fact): - """Model could not be loaded because it contains custom ops.""" diff --git a/src/mlia/target/cortex_a/reporters.py b/src/mlia/target/cortex_a/reporters.py index 65d7906..fc80c9f 100644 --- a/src/mlia/target/cortex_a/reporters.py +++ b/src/mlia/target/cortex_a/reporters.py @@ -17,6 +17,7 @@ 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.common.reporters import report_tflite_compatiblity from mlia.target.cortex_a.config import CortexAConfiguration from mlia.target.cortex_a.operators import CortexACompatibilityInfo from mlia.utils.console import style_improvement @@ -34,57 +35,6 @@ def report_target(target_config: CortexAConfiguration) -> Report: ) -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(op_compat: CortexACompatibilityInfo) -> Report: """Generate report for the operators.""" return Table( @@ -132,7 +82,7 @@ def cortex_a_formatters(data: Any) -> Callable[[Any], Report]: return report_target if isinstance(data, TFLiteCompatibilityInfo): - return report_tflite_compatiblity + return report_tflite_compatiblity # type: ignore if isinstance(data, CortexACompatibilityInfo): return report_cortex_a_operators |