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Hi,
I am trying to convert a saved TF2 model with multiple Input/output containing signatures. I use the following code
mo --saved_model_dir tf_scaled_model --input input_image,input_scales,input_max_feature_num,input_abs_thres,input_global_scales_ind --input_shape [1024,1024,3],[1],[0],[0],[1]
where the signature in the original code is defined as
@tf.function(input_signature=[
tf.TensorSpec(shape=[None, None, 3], dtype=tf.uint8, name='input_image'),
tf.TensorSpec(shape=[None], dtype=tf.float32, name='input_scales'),
tf.TensorSpec(shape=(None), dtype=tf.int32, name='input_max_feature_num'),
tf.TensorSpec(shape=(None), dtype=tf.float32, name='input_abs_thres'),
tf.TensorSpec(
shape=[None], dtype=tf.int32, name='input_global_scales_ind')
])
However, I receive the following error,
[ ERROR ] Cannot infer shapes or values for node "StatefulPartitionedCall/StatefulPartitionedCall/Any".
[ ERROR ] Input 0 of node StatefulPartitionedCall/StatefulPartitionedCall/Any was passed int32 from StatefulPartitionedCall/StatefulPartitionedCall/Equal_port_0_ie_placeholder:0 incompatible with expected bool.
which is weird because I do not have bool input. I was wondering if you could help me in this issue.
Operating system linux ubuntu
Openvino, Openvino-dev, Openvino-tensorflow (all 2022.3.0)
Tensorflow 2.9.1
Thanks.
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Hello Milad_n,
Thank you for contacting us.
Please share your model with us for replication purposes. In the meantime, please try to downgrade the TensorFlow 2 version from 2.9.1 to 2.8 and see if it can solve the issue.
Sincerely,
Zulkifli
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Hello Milad_n,
Thank you for your question. If you need any additional information from Intel, please submit a new question as this thread is no longer being monitored.
Sincerely,
Zulkifli

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