[tmva][sofie] Fix when specifying input batch size in Model #15819
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When input shape is parametric, give possibility to fix the batch size if provided by user in RModel::Generate
lmoneta
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Test and linked issue? |
Test Results 12 files 12 suites 2d 19h 16m 52s ⏱️ For more details on these failures, see this check. Results for commit a7e4c2b. ♻️ This comment has been updated with latest results. |
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This is needed to fix root bench: |
Fix for setting t he batch size when parsing a Keras model where the input batch size is not defined Add extra optional parameter in the Parse function to specify the batch size
…enerateModel The GenerateModel function called for the GNN classes was having a default =1 for the batch size used when generating the update models. We should use -1 to not force any specific batch size and use directly the given input shape
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This Pull request fixes the use case when the batch size is specified in RModel::Generate and the input model does not have a given batch size, but a parametric one