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| author | Annie Tallund <annie.tallund@arm.com> | 2023-03-15 11:27:08 +0100 |
|---|---|---|
| committer | Benjamin Klimczak <benjamin.klimczak@arm.com> | 2023-10-11 15:43:14 +0100 |
| commit | 867f37d643e66c0223457c28f5345f2f21db97f2 (patch) | |
| tree | 4e3c55896760e24a8b5eadc5176ce7f5586552e1 /tests/test_nn_rewrite_core_graph_edit_record.py | |
| parent | 62768232c5fe4ed6b87136c336b65e13d030e9d4 (diff) | |
| download | mlia-867f37d643e66c0223457c28f5345f2f21db97f2.tar.gz | |
Adapt rewrite module to MLIA coding standards
- Fix imports
- Update variable names
- Refactor helper functions
- Add licence headers
- Add docstrings
- Use f-strings rather than % notation
- Create type annotations in rewrite module
- Migrate from tqdm to rich progress bar
- Use logging module in rewrite module: All print statements are
replaced with logging module
Resolves: MLIA-831, MLIA-842, MLIA-844, MLIA-846
Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
Change-Id: Idee37538d72b9f01128a894281a8d10155f7c17c
Diffstat (limited to 'tests/test_nn_rewrite_core_graph_edit_record.py')
| -rw-r--r-- | tests/test_nn_rewrite_core_graph_edit_record.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tests/test_nn_rewrite_core_graph_edit_record.py b/tests/test_nn_rewrite_core_graph_edit_record.py index 39aeef5..cd728af 100644 --- a/tests/test_nn_rewrite_core_graph_edit_record.py +++ b/tests/test_nn_rewrite_core_graph_edit_record.py @@ -7,7 +7,7 @@ import pytest import tensorflow as tf from mlia.nn.rewrite.core.graph_edit.record import record_model -from mlia.nn.rewrite.core.utils.numpy_tfrecord import NumpyTFReader +from mlia.nn.rewrite.core.utils.numpy_tfrecord import numpytf_read @pytest.mark.parametrize("batch_size", (None, 1, 2)) @@ -46,7 +46,7 @@ def test_record_model( # any of the model outputs interpreter = tf.lite.Interpreter(str(test_tflite_model)) model_outputs = interpreter.get_output_details() - dataset = NumpyTFReader(str(output_file)) + dataset = numpytf_read(str(output_file)) for data in dataset: for name, tensor in data.items(): assert data_matches_outputs(name, tensor, model_outputs) |