[info] Translation started on ONNX model yolov4_leaky
[info] Restored ONNX model yolov4_leaky (completion time: 00:00:00.58)
[info] Extracted ONNXRuntime meta-data for Hailo model (completion time: 00:00:03.68)
[info] NMS structure of yolov5 (or equivalent architecture) was detected. Default values of NMS anchors were loaded to NMS config json
[info] Start nodes mapped from original model: ‘input’: ‘yolov4_leaky/input_layer1’.
[info] End nodes mapped from original model: ‘Conv_946’, ‘Conv_585’, ‘Conv_224’.
[info] Translation completed on ONNX model yolov4_leaky (completion time: 00:00:06.89)
[info] Saved HAR to: /local/shared_with_docker/yolov4_leaky.har
Preparing calibration data…
[info] Loading model script commands to yolov4_leaky from /local/workspace/hailo_model_zoo/hailo_model_zoo/cfg/alls/generic/yolov4_leaky.alls
[info] Starting Model Optimization
[warning] Reducing optimization level to 0 (the accuracy won’t be optimized and compression won’t be used) because there’s less data than the recommended amount (1024), and there’s no available GPU
[warning] Running model optimization with zero level of optimization is not recommended for production use and might lead to suboptimal accuracy results
[info] Model received quantization params from the hn
Traceback (most recent call last):
File “/local/workspace/hailo_virtualenv/bin/hailomz”, line 33, in
sys.exit(load_entry_point(‘hailo-model-zoo’, ‘console_scripts’, ‘hailomz’)())
File “/local/workspace/hailo_model_zoo/hailo_model_zoo/main.py”, line 122, in main
run(args)
File “/local/workspace/hailo_model_zoo/hailo_model_zoo/main.py”, line 111, in run
return handlersargs.command
File “/local/workspace/hailo_model_zoo/hailo_model_zoo/main_driver.py”, line 250, in compile
_ensure_optimized(runner, logger, args, network_info)
File “/local/workspace/hailo_model_zoo/hailo_model_zoo/main_driver.py”, line 91, in _ensure_optimized
optimize_model(
File “/local/workspace/hailo_model_zoo/hailo_model_zoo/core/main_utils.py”, line 321, in optimize_model
runner.optimize(calib_feed_callback)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_sdk_common/states/states.py”, line 16, in wrapped_func
return func(self, *args, **kwargs)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_sdk_client/runner/client_runner.py”, line 2093, in optimize
self._optimize(calib_data, data_type=data_type, work_dir=work_dir)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_sdk_common/states/states.py”, line 16, in wrapped_func
return func(self, *args, **kwargs)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_sdk_client/runner/client_runner.py”, line 1935, in _optimize
self._sdk_backend.full_quantization(calib_data, data_type=data_type, work_dir=work_dir)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_sdk_client/sdk_backend/sdk_backend.py”, line 1045, in full_quantization
self._full_acceleras_run(self.calibration_data, data_type)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_sdk_client/sdk_backend/sdk_backend.py”, line 1229, in _full_acceleras_run
optimization_flow.run()
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/tools/orchestator.py”, line 306, in wrapper
return func(self, *args, **kwargs)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/flows/optimization_flow.py”, line 316, in run
step_func()
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/tools/orchestator.py”, line 250, in wrapped
result = method(*args, **kwargs)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/tools/subprocess_wrapper.py”, line 121, in parent_wrapper
self.build_model()
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/tools/orchestator.py”, line 250, in wrapped
result = method(*args, **kwargs)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/flows/optimization_flow.py”, line 231, in build_model
model.build(shapes)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/acceleras/utils/distributed_utils.py”, line 122, in wrapper
res = func(self, *args, **kwargs)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/acceleras/model/hailo_model/hailo_model.py”, line 1083, in build
layer.build(layer.input_shapes)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/acceleras/hailo_layers/base_hailo_layer.py”, line 1473, in build
op.build(op.input_shapes)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/acceleras/atomic_ops/base_atomic_op.py”, line 996, in build
self._build(input_shape)
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/hailo_model_optimization/acceleras/atomic_ops/conv_stripped_op.py”, line 193, in _build
self.kernel = self.add_weight(
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/keras/engine/base_layer.py”, line 712, in add_weight
variable = self._add_variable_with_custom_getter(
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/tensorflow/python/trackable/base.py”, line 489, in _add_variable_with_custom_getter
new_variable = getter(
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/keras/engine/base_layer_utils.py”, line 134, in make_variable
return tf1.Variable(
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/tensorflow/python/util/traceback_utils.py”, line 153, in error_handler
raise e.with_traceback(filtered_tb) from None
File “/local/workspace/hailo_virtualenv/lib/python3.8/site-packages/keras/initializers/initializers.py”, line 265, in call
return tf.constant(self.value, dtype=_get_dtype(dtype), shape=shape)
TypeError: Eager execution of tf.constant with unsupported shape. Tensor [[[[-7.91152343e-02 -9.06490907e-03]
[-7.14582577e-02 2.87796799e-02]
[ 3.47643718e-02 -6.01729974e-02]
[ 5.35693653e-02 6.04566000e-02]
[-9.81233665e-04 -8.90867934e-02]
[-3.00754346e-02 1.28883952e-02]
[-5.99715598e-02 1.26206791e-02]
[-1.34447534e-02 9.51050594e-03]
[-5.44071421e-02 -7.47924745e-02]
[ 1.51640885e-02 -1.28424587e-02]
[ 6.52033538e-02 -3.12192254e-02]
[ 1.55772679e-02 7.06755891e-02]
[ 3.07878461e-02 -3.57032716e-02]
[-4.48179711e-03 4.14427109e-02]
[ 9.66263376e-03 -9.38874111e-03]
[ 8.80577862e-02 -1.63250249e-02]
[-2.27978565e-02 1.36349583e-02]
[-4.62094834e-03 1.53530827e-02]
[-5.12633361e-02 -3.62349227e-02]
[-5.89710698e-02 2.89323274e-02]
[-2.32063187e-03 3.95997018e-02]
[-1.55415153e-02 -1.46749383e-02]
[-6.32255822e-02 4.00657468e-02]
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[-8.79670214e-03 -8.70293453e-02]
[ 1.03501141e-01 2.78812964e-02]
[-3.64203826e-02 6.76325485e-02]
[ 9.92916711e-03 -3.98251712e-02]
[ 3.29997092e-02 1.43140489e-02]
[-9.66421235e-03 1.72838778e-03]
[-6.39504939e-02 5.90610355e-02]
[ 2.45837439e-02 8.18344057e-02]
[-6.84294570e-03 -4.96482477e-02]
[ 4.51168008e-02 -6.89105988e-02]
[-6.71184808e-03 6.26161993e-02]
[-6.81059137e-02 -4.09136452e-02]
[-6.99798986e-02 4.89748381e-02]
[ 7.89060295e-02 -2.62914207e-02]
[ 8.27877298e-02 -2.63416730e-02]
[-4.95306849e-02 4.16908190e-02]
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[-5.40296640e-03 8.95334501e-03]
[ 5.86026832e-02 4.02372032e-02]
[ 6.84038699e-02 8.05210322e-02]
[-8.78419355e-02 -6.41100183e-02]
[ 2.81061977e-02 7.88766667e-02]
[ 4.79793660e-02 -8.85569528e-02]
[-2.66599120e-03 -7.19908848e-02]
[ 6.31446615e-02 3.59828025e-03]
[-9.09522846e-02 1.48498768e-03]
[ 3.73968743e-02 5.96671775e-02]
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[ 2.34441962e-02 -4.75137681e-02]
[ 8.73460248e-02 -6.84901094e-03]
[ 7.27264434e-02 -6.07764684e-02]
[ 7.94652775e-02 -1.98809821e-02]
[ 6.88255653e-02 -1.94203816e-02]
[-4.45355847e-02 6.46339431e-02]
[ 5.83596379e-02 -1.78662855e-02]
[ 2.06244029e-02 5.70336096e-02]
[ 1.53478086e-02 -1.46990372e-02]
[ 2.16158666e-03 2.49164961e-02]
[-4.26589660e-02 5.54387495e-02]
[-5.02885804e-02 2.92287953e-02]
[ 1.17215784e-02 -7.87660480e-03]
[ 5.01164347e-02 2.11071894e-02]
[-4.27284278e-02 -6.97162822e-02]
[-1.13256285e-02 -6.17334656e-02]
[-2.78013740e-02 -4.80779670e-02]
[-8.92652348e-02 -3.23713906e-02]
[ 2.12284233e-02 7.08360821e-02]
[ 1.29044093e-02 4.31115665e-02]
[ 1.76182995e-03 6.68693380e-03]
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[ 2.60649733e-02 7.97625706e-02]
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[ 7.52897561e-02 -7.48622566e-02]
[-2.31958963e-02 5.83544839e-03]
[ 7.49721825e-02 1.98349506e-02]
[-5.08560380e-03 -2.05000192e-02]
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[ 5.22581413e-02 -1.70979649e-02]
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[ 4.62819450e-02 3.86254415e-02]
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[ 3.11182681e-02 -5.14437780e-02]
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[ 5.63676655e-03 -2.42421478e-02]
[ 3.37664299e-02 1.13847638e-02]
[ 2.45475024e-02 -4.63320501e-03]
[-3.87327783e-02 -6.76314160e-02]
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[ 4.32866886e-02 5.46040200e-02]
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[ 6.08964972e-02 4.13546376e-02]
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[ 3.39001790e-02 3.26944701e-02]
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[ 3.49626765e-02 3.50850783e-02]]]] (converted from [[[[-7.91152343e-02 -9.06490907e-03]
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[ 3.57674770e-02 5.35634067e-03]
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[ 4.16686572e-02 -3.67742889e-02]
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[ 9.42864362e-03 -1.88064650e-02]
[ 3.49573558e-03 -2.39051301e-02]
[ 8.68378058e-02 3.68751809e-02]
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[ 3.44003327e-02 -4.31811251e-02]
[ 6.14022352e-02 3.78919728e-02]
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[ 8.86833444e-02 -6.17498085e-02]
[-7.03845965e-03 2.76848068e-03]
[ 6.28936216e-02 2.79060868e-03]
[ 5.98370209e-02 -5.09329252e-02]
[-3.35466079e-02 7.52324909e-02]
[-7.13935196e-02 -8.04885924e-02]
[-2.93935016e-02 -5.99703565e-02]
[-4.17133830e-02 4.64635305e-02]
[ 3.09818108e-02 5.02322130e-02]
[ 4.57283668e-02 -1.18366787e-02]
[ 4.44955453e-02 -2.93837357e-02]
[-4.62446138e-02 7.29985386e-02]
[-5.37194870e-02 1.83425639e-02]
[-6.46694526e-02 5.87276816e-02]
[ 8.23168233e-02 1.43323261e-02]
[-1.83281314e-03 -5.05870916e-02]
[-4.16449048e-02 7.67639279e-02]
[-1.24781974e-01 -7.69879064e-03]
[-5.71129769e-02 -1.83849670e-02]
[ 9.94772743e-03 1.77923292e-02]
[ 2.44969483e-02 -1.83747746e-02]
[ 3.49626765e-02 3.50850783e-02]]]]) has 512 elements, but got shape (1, 1, 256, 6) with 1536 elements).
I am currently encountering an error while compiling through hailomz. I would like to use a custom dataset, but this error occurs. Could you help me understand what might be causing this?