Fix quantized_embedding_norm undefined when normalize=False#249
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stes merged 2 commits intoAdaptiveMotorControlLab:mainfrom May 5, 2025
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thanks, but can you also add the test that fails without the change, and passes now?
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Lgtm, thanks @CeliaBenquet
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test added @stes thanks :) |
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* start tests * remove print statements * first passing test * move functionality to base file in solver and separate in functions * add test_select_model for multisession * remove float16 * Improve modularity remove duplicate code and todos * Add tests to solver * Fix save/load * Fix extra docs errors * Add review updates * apply ruff auto-fixes * fix linting errors * Run isort, ruff, yapf * Fix gaussian mixture dataset import * Fix all tests but xcebra tests * Fix pytorch API usage example * Make xCEBRA compatible with the batched inference & padding in solver * Add some tests on transform() with xCEBRA * Add some docstrings and typings and clean unnecessary changes * Implement review comments * Fix sklearn test * Initial pass at integrating unifiedCEBRA * Add name in NOTE * Implement reviews on tests and typing * Fix import errors * Add select_model to aux solvers * Fix tests * Add mask tests * Fix docs error * Remove masking init() * Remove shuffled neurons in unified dataset * Remove extra datasets * Add tests on the private functions in base solver * Update tests and duplicate code based on review * Fix quantized_embedding_norm undefined when `normalize=False` (#249) * Fix tests * Adapt unified code to get_model method * Update mask.py add headers to new files * Update masking.py - header * Update test_data_masking.py - header * Implement review comments and fix typos * Fix docs errors * Remove np.int typing error * Fix docstring warning * Fix indentation docstrings * Implement review comments * Fix circular import and abstract method * Add maskedmixin to __all__ * Implement extra review comments * Change masking kwargs as tuple and not dict in sklearn impl * Add integrations/decoders.py * Fix typo * minor simplification in solver --------- Note, some comments in this PR overlap with #168 and #225 which were developed in parallel.
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When running
align_embeddings(embeddings, labels, normalize=False)quantized_embedding_norminquantized_embeddings.append(quantized_embedding_norm)is undefined.Solved by appending
quantized_embeddingtoquantized_embeddingsinstead whennormalize=False.