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-rw-r--r--src/mlia/api.py57
1 files changed, 16 insertions, 41 deletions
diff --git a/src/mlia/api.py b/src/mlia/api.py
index c7be9ec..2cabf37 100644
--- a/src/mlia/api.py
+++ b/src/mlia/api.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Module for the API functions."""
from __future__ import annotations
@@ -6,18 +6,14 @@ from __future__ import annotations
import logging
from pathlib import Path
from typing import Any
-from typing import Literal
from mlia.core.advisor import InferenceAdvisor
from mlia.core.common import AdviceCategory
+from mlia.core.common import FormattedFilePath
from mlia.core.context import ExecutionContext
-from mlia.core.typing import PathOrFileLike
from mlia.target.cortex_a.advisor import configure_and_get_cortexa_advisor
-from mlia.target.cortex_a.operators import report as cortex_a_report
from mlia.target.ethos_u.advisor import configure_and_get_ethosu_advisor
-from mlia.target.ethos_u.operators import report as ethos_u_report
from mlia.target.tosa.advisor import configure_and_get_tosa_advisor
-from mlia.target.tosa.operators import report as tosa_report
from mlia.utils.filesystem import get_target
logger = logging.getLogger(__name__)
@@ -26,10 +22,9 @@ logger = logging.getLogger(__name__)
def get_advice(
target_profile: str,
model: str | Path,
- category: Literal["all", "operators", "performance", "optimization"] = "all",
+ category: set[str],
optimization_targets: list[dict[str, Any]] | None = None,
- working_dir: str | Path = "mlia_output",
- output: PathOrFileLike | None = None,
+ output: FormattedFilePath | None = None,
context: ExecutionContext | None = None,
backends: list[str] | None = None,
) -> None:
@@ -42,17 +37,13 @@ def get_advice(
:param target_profile: target profile identifier
:param model: path to the NN model
- :param category: category of the advice. MLIA supports four categories:
- "all", "operators", "performance", "optimization". If not provided
- category "all" is used by default.
+ :param category: set of categories of the advice. MLIA supports three categories:
+ "compatibility", "performance", "optimization". If not provided
+ category "compatibility" is used by default.
:param optimization_targets: optional model optimization targets that
- could be used for generating advice in categories
- "all" and "optimization."
- :param working_dir: path to the directory that will be used for storing
- intermediate files during execution (e.g. converted models)
- :param output: path to the report file. If provided MLIA will save
- report in this location. Format of the report automatically
- detected based on file extension.
+ could be used for generating advice in "optimization" category.
+ :param output: path to the report file. If provided, MLIA will save
+ report in this location.
:param context: optional parameter which represents execution context,
could be used for advanced use cases
:param backends: A list of backends that should be used for the given
@@ -63,13 +54,14 @@ def get_advice(
Getting the advice for the provided target profile and the model
- >>> get_advice("ethos-u55-256", "path/to/the/model")
+ >>> get_advice("ethos-u55-256", "path/to/the/model",
+ {"optimization", "compatibility"})
Getting the advice for the category "performance" and save result report in file
"report.json"
- >>> get_advice("ethos-u55-256", "path/to/the/model", "performance",
- output="report.json")
+ >>> get_advice("ethos-u55-256", "path/to/the/model", {"performance"},
+ output=FormattedFilePath("report.json")
"""
advice_category = AdviceCategory.from_string(category)
@@ -78,10 +70,7 @@ def get_advice(
context.advice_category = advice_category
if context is None:
- context = ExecutionContext(
- advice_category=advice_category,
- working_dir=working_dir,
- )
+ context = ExecutionContext(advice_category=advice_category)
advisor = get_advisor(
context,
@@ -99,7 +88,7 @@ def get_advisor(
context: ExecutionContext,
target_profile: str,
model: str | Path,
- output: PathOrFileLike | None = None,
+ output: FormattedFilePath | None = None,
**extra_args: Any,
) -> InferenceAdvisor:
"""Find appropriate advisor for the target."""
@@ -123,17 +112,3 @@ def get_advisor(
output,
**extra_args,
)
-
-
-def generate_supported_operators_report(target_profile: str) -> None:
- """Generate a supported operators report based on given target profile."""
- generators_map = {
- "ethos-u55": ethos_u_report,
- "ethos-u65": ethos_u_report,
- "cortex-a": cortex_a_report,
- "tosa": tosa_report,
- }
-
- target = get_target(target_profile)
-
- generators_map[target]()