diff options
Diffstat (limited to 'tests/test_nn_rewrite_core_train.py')
| -rw-r--r-- | tests/test_nn_rewrite_core_train.py | 14 |
1 files changed, 9 insertions, 5 deletions
diff --git a/tests/test_nn_rewrite_core_train.py b/tests/test_nn_rewrite_core_train.py index d2bc1e0..3c2ef3e 100644 --- a/tests/test_nn_rewrite_core_train.py +++ b/tests/test_nn_rewrite_core_train.py @@ -6,17 +6,21 @@ from __future__ import annotations from pathlib import Path from tempfile import TemporaryDirectory +from typing import Any import numpy as np import pytest import tensorflow as tf from mlia.nn.rewrite.core.train import augmentation_presets +from mlia.nn.rewrite.core.train import LearningRateSchedule from mlia.nn.rewrite.core.train import mixup from mlia.nn.rewrite.core.train import train -def replace_fully_connected_with_conv(input_shape, output_shape) -> tf.keras.Model: +def replace_fully_connected_with_conv( + input_shape: Any, output_shape: Any +) -> tf.keras.Model: """Get a replacement model for the fully connected layer.""" for name, shape in { "Input": input_shape, @@ -43,7 +47,7 @@ def check_train( augmentation_preset: tuple[float | None, float | None] = augmentation_presets[ "none" ], - lr_schedule: str = "cosine", + lr_schedule: LearningRateSchedule = "cosine", use_unmodified_model: bool = False, num_procs: int = 1, ) -> None: @@ -60,7 +64,7 @@ def check_train( output_tensors=["StatefulPartitionedCall:0"], augment=augmentation_preset, steps=32, - lr=1e-3, + learning_rate=1e-3, batch_size=batch_size, verbose=verbose, show_progress=show_progress, @@ -104,7 +108,7 @@ def test_train( verbose: bool, show_progress: bool, augmentation_preset: tuple[float | None, float | None], - lr_schedule: str, + lr_schedule: LearningRateSchedule, use_unmodified_model: bool, num_procs: int, ) -> None: @@ -131,7 +135,7 @@ def test_train_invalid_schedule( check_train( tflite_model=test_tflite_model_fp32, tfrecord=test_tfrecord_fp32, - lr_schedule="unknown_schedule", + lr_schedule="unknown_schedule", # type: ignore ) |