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| -rw-r--r-- | docs/03_scripts.dox | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/docs/03_scripts.dox b/docs/03_scripts.dox index efa6fa9813..7e16edfb0d 100644 --- a/docs/03_scripts.dox +++ b/docs/03_scripts.dox @@ -143,6 +143,11 @@ The arm_compute::utils::load_trained_data shows how one could load the weights and biases into tensor from the .npy file by the help of Accessor. @section validate_examples Validating examples + +Compute Library provides a list of graph examples that are used in the context of integration and performance testing. +The provenance of each model is part of its documentation and no structural or data alterations have been applied to any +of them unless explicitly specified otherwise in the documentation. + Using one of the provided scripts will generate files containing the trainable parameters. You can validate a given graph example on a list of inputs by running: |