ValueError: Unrecognized keyword arguments passed to DepthwiseConv2D: {'kernel_initializer': 'he_normal'} tensorflow ==2.8.1,kersa ==3.6 #23
Description
C:\ProgramData\anaconda3\python.exe C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\stm32ai_main.py
[INFO] : Setting upper limit of usable GPU memory to 12GBytes.
[INFO] : Running training operation mode
2025/06/24 14:01:01 WARNING mlflow.utils.git_utils: Failed to import Git (the Git executable is probably not on your PATH), so Git SHA is not available. Error: Failed to initialize: Bad git executable.
The git executable must be specified in one of the following ways:
- be included in your $PATH
- be set via $GIT_PYTHON_GIT_EXECUTABLE
- explicitly set via git.refresh()
All git commands will error until this is rectified.
This initial message can be silenced or aggravated in the future by setting the
$GIT_PYTHON_REFRESH environment variable. Use one of the following values:
- quiet|q|silence|s|silent|none|n|0: for no message or exception
- warn|w|warning|log|l|1: for a warning message (logging level CRITICAL, displayed by default)
- error|e|exception|raise|r|2: for a raised exception
Example:
export GIT_PYTHON_REFRESH=quiet
[INFO] : ClearML config check
[INFO] : The random seed for this simulation is 127
Error executing job with overrides: []
Traceback (most recent call last):
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\stm32ai_main.py", line 417, in
main()
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra\main.py", line 94, in decorated_main
_run_hydra(
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra_internal\utils.py", line 394, in _run_hydra
_run_app(
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra_internal\utils.py", line 457, in _run_app
run_and_report(
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra_internal\utils.py", line 223, in run_and_report
raise ex
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra_internal\utils.py", line 220, in run_and_report
return func()
^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra_internal\utils.py", line 458, in
lambda: hydra.run(
^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\clearml\binding\hydra_bind.py", line 101, in _patched_hydra_run
return PatchHydra._original_hydra_run(self, config_name, task_function, overrides, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra_internal\hydra.py", line 132, in run
_ = ret.return_value
^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra\core\utils.py", line 260, in return_value
raise self._return_value
File "C:\ProgramData\anaconda3\Lib\site-packages\hydra\core\utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\clearml\binding\hydra_bind.py", line 248, in _patched_task_function
return task_function(a_config, *a_args, **a_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\stm32ai_main.py", line 403, in main
process_mode(mode=mode, configs=cfg, train_ds=train_ds, valid_ds=valid_ds, quantization_ds=quantization_ds,
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\stm32ai_main.py", line 272, in process_mode
train(cfg=configs, train_ds=train_ds, valid_ds=valid_ds)
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\src\training\train.py", line 159, in train
model, input_shape = load_model_for_training(cfg)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\src\utils\models_mgt.py", line 161, in load_model_for_training
model = get_model(cfg)
^^^^^^^^^^^^^^
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\src\utils\models_mgt.py", line 94, in get_model
model = get_deeplab_v3(input_shape=input_shape, backbone=backbone_model, version=backbone_version,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\src\models\deeplabv3.py", line 141, in get_deeplab_v3
x = _aspp(x, 256, aspp_size, version=aspp_version)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\src\models\deeplabv3.py", line 67, in _aspp
x2 = _dilated_depthwise_conv2d(x, out_filters, dilation_rates[0])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\charlesfan\Desktop\ai\stm32ai-modelzoo-services-main\semantic_segmentation\src\models\deeplabv3.py", line 39, in _dilated_depthwise_conv2d
x = layers.DepthwiseConv2D((3, 3), padding='same', dilation_rate=(dilation_rate, dilation_rate), kernel_initializer='he_normal')(x)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\keras\src\layers\convolutional\depthwise_conv2d.py", line 120, in init
super().init(
File "C:\ProgramData\anaconda3\Lib\site-packages\keras\src\layers\convolutional\base_depthwise_conv.py", line 106, in init
super().init(
File "C:\ProgramData\anaconda3\Lib\site-packages\keras\src\layers\layer.py", line 285, in init
raise ValueError(
ValueError: Unrecognized keyword arguments passed to DepthwiseConv2D: {'kernel_initializer': 'he_normal'}
Process finished with exit code 1