Update docstring in imagenet_utils.py #10006
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…preprocess_symbolic_input in imagenet_utils.py
dschwertfeger
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…ack-embeddings-from-layer-outputs * upstream/master: (34 commits) Refactor training part of `engine` module. (keras-team#10029) Fix Bidirectional Regularization (keras-team#10012) Refactor topological part of `engine` module (keras-team#10023) Add `separable_conv2d` for Theano (keras-team#10003) fixing typos (keras-team#10016) Prepare 2.1.6 release. Add tutorial link in docs. Sync docstring of preprocess_input with _preprocess_numpy_input and _preprocess_symbolic_input in imagenet_utils.py (keras-team#10006) Immigrate reference operations to a separate module (keras-team#9948) Chenta/cntk bn (keras-team#9952) Make conv_invalid_use and pooling_invalid_use efficient (keras-team#9944) Exclude multi-gpu utils when reporting coverages (keras-team#9942) Allow shift_range to be 1-D array-like or int (keras-team#8869) Fix PEP8 Added an error message for undefined shape on NASNet. (keras-team#9891) fix TimeSeriesGenerator glitch (keras-team#9899) Updated for TF 1.7 (keras-team#9937) Add support for `constants` in Bidirectional wrapper (keras-team#9260) Added note to manually install h5py where needed (keras-team#9830) Fix stateful metrics when passing dict to compile (keras-team#9894) ...
Vijayabhaskar96
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…preprocess_symbolic_input in imagenet_utils.py (keras-team#10006)
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I noticed that the "torch" preprocessing mode is missing from the docstring of the preprocess_input method even though the two methods (_preprocess_numpy_input and _preprocess_symbolic_input) that it uses to do the preprocessing have support for it.