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Add info about gradient accumulation in logging #78
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Indicates, after what number of steps optimizer step is called. Here is an example in the RNN-T reference: https://github.com/mlcommons/training/blob/651e7c47bcbd7f4708d633afa567205a826438f1/rnn_speech_recognition/pytorch/train.py#L222 |
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xyhuang
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* new keys according to #78 and #80 * RNN-T constants * RNN-T update constants * [compliance_checker] update to rules 1.0 * [compliance_checker] add gradient_accumulation_steps * update constants * [compliance_checker] RNN-T rules * add rnnt and unet3d benchmarks * Revert "RNN-T update constants" This reverts commit 03b986a. * Revert "RNN-T constants" This reverts commit b550182. * [compliance_checker] check weights_initialization based on metadata * Add unet3d * [compliance_checker][RNN-T] missing weights initialization check * [compliance_checker][Unet3D] target 0.91 -> 0.908 after mlcommons/training@149c2b8 Co-authored-by: michalm <[email protected]>
xyhuang
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Apr 13, 2021
* new keys according to #78 and #80 * RNN-T constants * RNN-T update constants * [compliance_checker] update to rules 1.0 * [compliance_checker] add gradient_accumulation_steps * update constants * [compliance_checker] RNN-T rules * add rnnt and unet3d benchmarks * Revert "RNN-T update constants" This reverts commit 03b986a. * Revert "RNN-T constants" This reverts commit b550182. * RNN-T constants * [compliance_checker] check weights_initialization based on metadata * align naming with other constants * Add unet3d * [compliance_checker][RNN-T] update compliance checker * [compliance_checker][RNN-T] missing weights initialization check * [logging][rnn-t] weights initialization scale constant * undo unwanted change in unet3d Co-authored-by: michalm <[email protected]>
done by #83 |
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