diff options
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/test_backend_vela_compiler.py | 6 | ||||
| -rw-r--r-- | tests/test_nn_tensorflow_tflite_metrics.py | 6 | ||||
| -rw-r--r-- | tests/test_target_ethos_u_config.py | 2 |
3 files changed, 7 insertions, 7 deletions
diff --git a/tests/test_backend_vela_compiler.py b/tests/test_backend_vela_compiler.py index ff07c74..20121d6 100644 --- a/tests/test_backend_vela_compiler.py +++ b/tests/test_backend_vela_compiler.py @@ -27,7 +27,7 @@ def test_default_vela_compiler() -> None: assert default_compiler.tensor_allocator == TensorAllocator.HillClimb assert default_compiler.cpu_tensor_alignment == 16 assert default_compiler.optimization_strategy == OptimizationStrategy.Performance - assert default_compiler.output_dir is None + assert default_compiler.output_dir == "output" assert default_compiler.get_config() == { "accelerator_config": "ethos-u55-256", @@ -86,7 +86,7 @@ def test_vela_compiler_with_parameters(test_resources_path: Path) -> None: tensor_allocator="Greedy", cpu_tensor_alignment=4, optimization_strategy="Size", - output_dir="output", + output_dir="custom_output", ) compiler = VelaCompiler(compiler_options) @@ -99,7 +99,7 @@ def test_vela_compiler_with_parameters(test_resources_path: Path) -> None: assert compiler.tensor_allocator == TensorAllocator.Greedy assert compiler.cpu_tensor_alignment == 4 assert compiler.optimization_strategy == OptimizationStrategy.Size - assert compiler.output_dir == "output" + assert compiler.output_dir == "custom_output" assert compiler.get_config() == { "accelerator_config": "ethos-u65-256", diff --git a/tests/test_nn_tensorflow_tflite_metrics.py b/tests/test_nn_tensorflow_tflite_metrics.py index 0e4c79c..e8d7c09 100644 --- a/tests/test_nn_tensorflow_tflite_metrics.py +++ b/tests/test_nn_tensorflow_tflite_metrics.py @@ -34,10 +34,10 @@ def _sample_keras_model() -> tf.keras.Model: def _sparse_binary_keras_model() -> tf.keras.Model: def get_sparse_weights(shape: list[int]) -> np.ndarray: weights = np.zeros(shape) - with np.nditer(weights, op_flags=["writeonly"]) as weight_iterator: - for idx, value in enumerate(weight_iterator): + with np.nditer(weights, op_flags=[["writeonly"]]) as weight_it: + for idx, value in enumerate(weight_it): if idx % 2 == 0: - value[...] = 1.0 + value[...] = 1.0 # type: ignore return weights keras_model = _sample_keras_model() diff --git a/tests/test_target_ethos_u_config.py b/tests/test_target_ethos_u_config.py index 6ccd5ce..3160190 100644 --- a/tests/test_target_ethos_u_config.py +++ b/tests/test_target_ethos_u_config.py @@ -28,7 +28,7 @@ def test_compiler_options_default_init() -> None: assert opts.tensor_allocator == "HillClimb" assert opts.cpu_tensor_alignment == 16 assert opts.optimization_strategy == "Performance" - assert opts.output_dir is None + assert opts.output_dir == "output" def test_ethosu_target() -> None: |