Fix keras model loading issue with loading model with KerasH5 #664
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This is probably due to changes in the h5py. What version are you using? |
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Currently 3.7.0. |
vloncar
requested changes
Oct 17, 2022
hls4ml/converters/keras_to_hls.py
Outdated
| @@ -232,7 +232,10 @@ def keras_to_hls(config): | |||
| if model_arch is None: | |||
| raise ValueError('No model found in config file.') | |||
| else: | |||
| model_arch = json.loads(model_arch.decode('utf-8')) | |||
| # model_arch should be a string by default. Keeping this if just for compatibility. | |||
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I tested this, and it seems to be an issue dating back to h5py version 3.0.0. Can you update this comment to include that? It will be easier in the future when we decide to clean up the codebase
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Thanks for tasting this out. I have updated the comment here.
calad0i
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Jul 1, 2023
…chinelearning#664) * Fix keras model loading issue with loading model with KerasH5 * Add unit test for KerasH5 loader * comment on h5py version causing KerasH5 loading issue
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A# Description
In the current version of hls4ml, if one use the key "KerasH5" and not supplying the json model file to load the Keras model, the framework will try to decode the string in h5.attrs[ ] in utf-8 and fails. This PR patchs this issue by doing a type check first.
Type of change
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Tests
Test Configuration:
Unit test added for KerasH5 loader at
test/pytest/test_keras_h5_loader.pyCreate any keras model, save it to .h5 and use only the
KerasH5without providing the in the config dictionary (or command line interface) to load it model json -> crashChecklist