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Description
getting this error from my model:
NEW KERAS MODEL:
<keras.src.layers.core.dense.Dense object at 0x7f36dca9e550>
input: (None, 10)
output: (None, 20)
<keras.src.layers.core.dense.Dense object at 0x7f36d8435e10>
input: (None, 20)
output: (None, 3)
ai_reset: <keras.src.engine.sequential.Sequential object at 0x7f36dc623fd0>
ai reset OK
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 20) 220
dense_1 (Dense) (None, 3) 63
=================================================================
Total params: 283 (1.11 KB)
Trainable params: 283 (1.11 KB)
Non-trainable params: 0 (0.00 Byte)
error from calling: tflite2tmdl.py
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
FULLY_CONNECTED
{'asymmetric_quantize_inputs': False, 'fused_activation_function': 1, 'keep_num_dims': False, 'weights_format': 0}
input: dense_input
output: dense/MatMul;dense/Relu;dense/BiasAdd
weight: dense/MatMul
bias: dense/bias
FULLY_CONNECTED
{'asymmetric_quantize_inputs': False, 'fused_activation_function': 0, 'keep_num_dims': False, 'weights_format': 0}
input: dense/MatMul;dense/Relu;dense/BiasAdd
output: dense_1/MatMul;dense_1/BiasAdd
weight: dense_1/MatMul
bias: dense_1/bias
LOGISTIC
None
OUTPUT!
input: dense_1/MatMul;dense_1/BiasAdd
output: dense_1/Sigmoid
Traceback (most recent call last):
File "/home/rap/gir/./TinyMaix/tools/tflite2tmdl.py", line 619, in <module>
tflite2tmdl(tflite_name, tmdl_name, mdl_type, out_deq, in_dims, out_dims, endian)
File "/home/rap/gir/./TinyMaix/tools/tflite2tmdl.py", line 580, in tflite2tmdl
layers = read_tflite(tflite_name, log_func=log_func)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/rap/gir/TinyMaix/tools/tflite_reader.py", line 273, in read_tflite
raise Exception("Not support layer %s"%layer_name)
Exception: Not support layer LOGISTIC
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