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reg. user 1.9

If

Then

Ref

used Python 3.7

upgrade to Python 3.8 or higher

PR16579

used PyTorch 1.10

upgrade to PyTorch 1.11 or higher

PR16492

used Trainer’s flag gpus

use devices with the same number

PR16171

used Trainer’s flag tpu_cores

use devices with the same number

PR16171

used Trainer’s flag ipus

use devices with the same number

PR16171

used Trainer’s flag num_processes

use devices with the same number

PR16171

used Trainer’s flag resume_from_checkpoint

pass the path to the Trainer.fit(ckpt_path="...") method,

PR10061

used Trainer’s flag auto_select_gpus

use devices="auto"

PR16184

called the pl.tuner.auto_gpu_select.pick_single_gpu function

use Trainer’s flag``devices=”auto”``

PR16184

called the pl.tuner.auto_gpu_select.pick_multiple_gpus functions

use Trainer’s flag``devices=”auto”``

PR16184

used Trainer’s flag accumulate_grad_batches with a scheduling dictionary value

use the GradientAccumulationScheduler callback and configure it

PR16729

imported profiles from pl.profiler

import from pl.profilers

PR16359

used Tuner as part of Trainer in any form

move to a standalone Tuner object or use particular callbacks LearningRateFinder and BatchSizeFinder

Batch Size Finder Learning Rate Finder

used Trainer’s flag auto_scale_batch_size

use BatchSizeFinder callback instead and the Trainer.tune() method was removed

used Trainer’s flag auto_lr_find

use callbacks LearningRateFinder callback instead and the Trainer.tune() method was removed


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