diff options
| author | Ruomei Yan <ruomei.yan@arm.com> | 2023-02-20 15:32:54 +0000 |
|---|---|---|
| committer | Benjamin Klimczak <benjamin.klimczak@arm.com> | 2023-10-11 15:42:28 +0100 |
| commit | 446c379c92e15ad8f24ed0db853dd0fc9c271151 (patch) | |
| tree | fb9e2b20fba15d3aa44054eb76d76fbdb1459006 /tests/test_cli_options.py | |
| parent | f0b8ed75fed9dc69ab1f6313339f9f7e38bfc725 (diff) | |
| download | mlia-446c379c92e15ad8f24ed0db853dd0fc9c271151.tar.gz | |
Add a CLI component to enable rewrites
* Add flags for rewrite (--rewrite, --rewrite-start,
--rewrite-end, --rewrite-target)
* Refactor CLI interfaces to accept tflite models with optimize for
rewrite, keras models with optimize for clustering and pruning
* Refactor and move common.py and select.py out of the folder
nn/tensorflow/optimizations
* Add file nn/rewrite/core/rewrite.py as placeholder
* Update/add unit tests
* Refactor OptimizeModel in ethos_u/data_collection.py
for accepting tflite model case
* Extend the logic so that if "--rewrite" is specified, we don't add
pruning to also accept TFLite models.
* Update README.md
Resolves: MLIA-750, MLIA-854, MLIA-865
Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
Change-Id: I67d85f71fa253d2bad4efe304ad8225970b9622c
Diffstat (limited to 'tests/test_cli_options.py')
| -rw-r--r-- | tests/test_cli_options.py | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/tests/test_cli_options.py b/tests/test_cli_options.py index c02ef89..75ace0b 100644 --- a/tests/test_cli_options.py +++ b/tests/test_cli_options.py @@ -30,6 +30,7 @@ from mlia.core.typing import OutputFormat "optimization_type": "pruning", "optimization_target": 0.5, "layers_to_optimize": None, + "dataset": None, } ], ], @@ -44,6 +45,7 @@ from mlia.core.typing import OutputFormat "optimization_type": "pruning", "optimization_target": 0.5, "layers_to_optimize": None, + "dataset": None, } ], ], @@ -58,6 +60,7 @@ from mlia.core.typing import OutputFormat "optimization_type": "clustering", "optimization_target": 32, "layers_to_optimize": None, + "dataset": None, } ], ], @@ -72,11 +75,13 @@ from mlia.core.typing import OutputFormat "optimization_type": "pruning", "optimization_target": 0.5, "layers_to_optimize": None, + "dataset": None, }, { "optimization_type": "clustering", "optimization_target": 32, "layers_to_optimize": None, + "dataset": None, }, ], ], @@ -91,6 +96,7 @@ from mlia.core.typing import OutputFormat "optimization_type": "pruning", "optimization_target": 0.4, "layers_to_optimize": None, + "dataset": None, } ], ], @@ -117,6 +123,7 @@ from mlia.core.typing import OutputFormat "optimization_type": "clustering", "optimization_target": 32.2, "layers_to_optimize": None, + "dataset": None, } ], ], |