Keras v3 model profiling import bug

[Chriisbrown]

When attempting to use the function numerical(model=kerasmodel, hls_model=hlsmodel, X=X_test) from hls4ml.model.profiling with the model as a keras v3 model the command fails at

hls4ml/hls4ml/converters/__init__.py

Line 125 in 744d7cc

model = keras_v2_to_hls(yamlConfig)

As hls4ml attempts to convert a keras v3 model as a keras v2 model. This conversion is handled correctly later in the file

hls4ml/hls4ml/converters/__init__.py

Lines 231 to 237 in 744d7cc

	if 'KerasModel' in config:
	import keras
	if keras.__version__ >= '3.0':
	return keras_v3_to_hls(config)
	return keras_v2_to_hls(config)

If the same code is inserted back into L125 the numerical profiling succeeds

[gopaljyani2005]

I want to solve this issue. Could you please assign this issue to me

[JanFSchulte]

Thanks for the offer, but there is an open pull request #1421 with this fix already that we will merge soon.

[gopaljyani2005]

I want to contribute here, so please let me know which issue I can work on.