Freez.py for tensrflow2.5 versin

[Aishaj]

Hi, I'm trying to edit the freez.py from the main project folder( which is Tensorflow 1.X). to make it suitable for thates project files( Tensorflow 2.5) However, when running python freeze.py --model_architecture ds_cnn --model_size_info 5 64 10 4 2 2 64 3 3 1 1 64 3 3 1 1 64 3 3 1 1 64 3 3 1 1 --checkpoint ../Pretrained_models/DS_CNN/DS_CNN_S/ckpt/ds_cnn_0.94_ckpt --output_file ds_cnn.pb

I'm getting the following error

2021-08-05 15:42:18.490308: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2021-08-05 15:42:18.491455: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance. WARNING:tensorflow:From C:\Users\ash_j\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\keras\layers\normalization.py:534: _colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. W0805 15:42:18.584352 17588 deprecation.py:336] From C:\Users\ash_j\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\keras\layers\normalization.py:534: _colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. Traceback (most recent call last): File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 549, in make_tensor_proto str_values = [compat.as_bytes(x) for x in proto_values] File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 549, in str_values = [compat.as_bytes(x) for x in proto_values] File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\util\compat.py", line 87, in as_bytes (bytes_or_text,)) TypeError: Expected binary or unicode string, got <tensorflow.python.keras.engine.functional.Functional object at 0x000002E6F9A16F08>

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "freeze.py", line 248, in tf.compat.v1.app.run(main=main, argv=[sys.argv[0]] + unparsed) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "C:\Users\x\xanaconda3\envs\newenvt\lib\site-packages\absl\app.py", line 312, in run _run_main(main, args) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\absl\app.py", line 258, in _run_main sys.exit(main(argv)) File "freeze.py", line 176, in main FLAGS.model_size_info) File "freeze.py", line 115, in create_inference_graph tf.nn.softmax(logits, name='labels_softmax') File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\util\dispatch.py", line 206, in wrapper return target(*args, *kwargs) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 3701, in softmax_v2 return _wrap_2d_function(logits, gen_nn_ops.softmax, axis, name) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 3613, in _wrap_2d_function inputs = ops.convert_to_tensor(inputs) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\profiler\trace.py", line 163, in wrapped return func(args, **kwargs) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\ops.py", line 1566, in convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\constant_op.py", line 339, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\constant_op.py", line 265, in constant allow_broadcast=True) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\constant_op.py", line 283, in _constant_impl allow_broadcast=allow_broadcast)) File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 553, in make_tensor_proto "supported type." % (type(values), values)) TypeError: Failed to convert object of type <class 'tensorflow.python.keras.engine.functional.Functional'> to Tensor. Contents: <tensorflow.python.keras.engine.functional.Functional object at 0x000002E6F9A16F08>. Consider casting elements to a supported type.

Would appreciate any help regarding this. Thanks

[Burton2000]

freeze.py in the original repository was for generating a frozen .pb model file for inference. This model format is exclusive to TensorFlow 1 and is not supported in TensorFlow 2.

In this repository you can instead generate a TFLite file using convert.py that will be suitable for deployment. You can pass in --no-quantize to generate a floating point file if you wish so that it matches the .pb model.

[Aishaj]

The reason of me trying to create the freez.py is because I want to use label_wav.py. So I want to send a sound file to the model. However, label_wav.py requires a .pb file

[Burton2000]

This merge request https://github.com/ARM-software/ML-examples/pull/72 has a new label_wav.py file that should work with tflite files, give it a try and see if it works for you.