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I'm getting the following error "[[{{node PyFunc}}]] 0 successful operations. 0 derived errors ignored. [Op:__inference_run_val_step_37449]"
on lines
m_outputs, total_loss, log = run_val_step(model, images, t_bbox, t_class, config) and m_outputs, total_loss, log, gradient_steps = run_train_step(model, images, t_bbox, t_class, optimizers,
in the training.py file when i try to train my coco dataset and pass it through
training.eval(detr, valid_dt, config, coco_class_names, evaluation_step=200) training.fit(detr, train_dt, optimzers, config, epoch_nb=0, class_names=coco_class_names)
Does anyone have an idea about this?
The text was updated successfully, but these errors were encountered:
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I'm getting the following error
"[[{{node PyFunc}}]] 0 successful operations. 0 derived errors ignored. [Op:__inference_run_val_step_37449]"
on lines
m_outputs, total_loss, log = run_val_step(model, images, t_bbox, t_class, config)
and
m_outputs, total_loss, log, gradient_steps = run_train_step(model, images, t_bbox, t_class, optimizers,
in the training.py file when i try to train my coco dataset and pass it through
training.eval(detr, valid_dt, config, coco_class_names, evaluation_step=200)
training.fit(detr, train_dt, optimzers, config, epoch_nb=0, class_names=coco_class_names)
Does anyone have an idea about this?
The text was updated successfully, but these errors were encountered: