Open panjea opened 2 weeks ago
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
getting this error from my model:
error from calling: tflite2tmdl.py