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INFO:deformation_layers ::Reshape will process tensor after change back to NCHW format.
Traceback (most recent call last):
File "D:\python\onnx2tflite\converter.py", line 108, in
run()
File "D:\python\onnx2tflite\converter.py", line 92, in run
onnx_converter(
File "D:\python\onnx2tflite\converter.py", line 21, in onnx_converter
keras_model = keras_builder(model_proto, native_groupconv)
File "D:\python\onnx2tflite\utils\builder.py", line 82, in keras_builder
tf_tensor[node_outputs[index]] = tf_operator(tf_tensor, onnx_weights, node_inputs, op_attr, index=index)(_inputs)
File "D:\python\onnx2tflite\layers\deformation_layers.py", line 97, in call
inputs = tf.reshape(inputs, shape=self.out_shape)
File "D:\python\onnx2tflite\venv\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
raise e.with_traceback(filtered_tb) from None
File "D:\python\onnx2tflite\venv\lib\site-packages\keras\src\layers\core\tf_op_layer.py", line 119, in handle
return TFOpLambda(op)(*args, **kwargs)
File "D:\python\onnx2tflite\venv\lib\site-packages\keras\src\utils\traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
ValueError: Exception encountered when calling layer "tf.reshape" (type TFOpLambda).
Cannot reshape a tensor with 8388608 elements to shape [0,1,?] (0 elements) for '{{node tf.reshape/Reshape}} = Reshape[T=DT_FLOAT, Tshape=DT_INT64](Placeholder, tf.reshape/Reshape/shape)' with input shapes: [1,32,512,512], [3] and with input tensors computed as partial shapes: input[1] = [0,1,?].
Checking 0/1...
INFO:deformation_layers ::Reshape will process tensor after change back to NCHW format.
Traceback (most recent call last):
File "D:\python\onnx2tflite\converter.py", line 108, in
run()
File "D:\python\onnx2tflite\converter.py", line 92, in run
onnx_converter(
File "D:\python\onnx2tflite\converter.py", line 21, in onnx_converter
keras_model = keras_builder(model_proto, native_groupconv)
File "D:\python\onnx2tflite\utils\builder.py", line 82, in keras_builder
tf_tensor[node_outputs[index]] = tf_operator(tf_tensor, onnx_weights, node_inputs, op_attr, index=index)(_inputs)
File "D:\python\onnx2tflite\layers\deformation_layers.py", line 97, in call
inputs = tf.reshape(inputs, shape=self.out_shape)
File "D:\python\onnx2tflite\venv\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
raise e.with_traceback(filtered_tb) from None
File "D:\python\onnx2tflite\venv\lib\site-packages\keras\src\layers\core\tf_op_layer.py", line 119, in handle
return TFOpLambda(op)(*args, **kwargs)
File "D:\python\onnx2tflite\venv\lib\site-packages\keras\src\utils\traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
ValueError: Exception encountered when calling layer "tf.reshape" (type TFOpLambda).
Cannot reshape a tensor with 8388608 elements to shape [0,1,?] (0 elements) for '{{node tf.reshape/Reshape}} = Reshape[T=DT_FLOAT, Tshape=DT_INT64](Placeholder, tf.reshape/Reshape/shape)' with input shapes: [1,32,512,512], [3] and with input tensors computed as partial shapes: input[1] = [0,1,?].
Call arguments received by layer "tf.reshape" (type TFOpLambda):
• tensor=tf.Tensor(shape=(1, 32, 512, 512), dtype=float32)
• shape=array([ 0, 1, -1], dtype=int64)
• name=None
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