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Tensor opt #177
Tensor opt #177
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src_erl/Communication_Layer/http_Nerlserver/src/source/parser.erl
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src_erl/Communication_Layer/http_Nerlserver/src/source/parser.erl
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-export([getdeviceIP/0]). | ||
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setup_logger(Module) -> | ||
logger:add_handler(Module, Module, #{}), |
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This is the configuration I used for single line logger format, please use it also for unified format:
logger:set_handler_config(default, formatter, {logger_formatter, #{}}),
logger:set_module_level(Module, all).
@halfway258 |
- Check get/weights methods - update get_weights nif arity (to include type of nerltensor) - update on erl return value of get/set weights - update on erl return value of train_nif and predict_nif with new returned atoms
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tests passed on raspberries
You need to sync this branch with master |
* use nerlNIF tensor decode * syntax * use nerlNIF tensor decode * syntax * rebase into tensorOpt * added nerl_tools for http_req * use nerl_tools * use nerl_tools * tensor message pass * clean * clean * decode clarafication * use nerlNIF tensor decode * syntax * rebase into tensorOpt * added nerl_tools for http_req * use nerl_tools * use nerl_tools * tensor message pass * clean * clean * decode clarafication * rebase fix * clean house * erlang timer * tools / logger refractoring * logger cleaning * logger and json config fix * nerl_tools expansion * organizing * PR fix * scaling comment * tab format * full tensor flow * full tensor flow, prediction stats * batch sync fix * Implement get and set weights using nerltensor bins - Check get/weights methods - update get_weights nif arity (to include type of nerltensor) - update on erl return value of get/set weights - update on erl return value of train_nif and predict_nif with new returned atoms * get set weights * fed * comm fix * multipart func * multipart func * read parts * prints * prints * print * no print * json fix --------- Co-authored-by: halfway258 <harancoh@gmail.com> Co-authored-by: leondavi <ddleon@outlook.com>
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