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Working on Kaggle and trying to use TPU with fastai.
from fastai_xla_extensions.all import * path = untar_data(URLs.MNIST_TINY) datablock = DataBlock( blocks=(ImageBlock,CategoryBlock), get_items=get_image_files, splitter=GrandparentSplitter(), get_y=parent_label, item_tfms=Resize(28), batch_tfms=[Normalize.from_stats(*imagenet_stats)] ) dls = datablock.dataloaders(path, bs=8) learner = cnn_learner(dls, resnet18, metrics=accuracy, concat_pool=False) learner.xla_lr_find()
Throws the following error:
NameError Traceback (most recent call last) Cell In[7], line 1 ----> 1 learner.xla_fit_one_cycle(5,lr_max=slice(1e-4,0.02)) File /usr/local/lib/python3.8/site-packages/fastai_xla_extensions/multi_core/learner.py:261, in xla_fit_one_cycle(self, n_epoch, num_cores, start_method, master_cbs, **kwargs) 259 """call fit_one_cycle in a multicore tpu environment""" 260 ctrl_args = self.pre_xla_fit() --> 261 learner_args, add_args = self.pack_learner_args() 263 fit_args = prep_fit_args(n_epoch, master_cbs, **kwargs) 265 xmp.spawn(xla_run_method, 266 args=(Learner.fit_one_cycle, learner_args, add_args, fit_args, ctrl_args), 267 nprocs=num_cores, 268 start_method=start_method) File /usr/local/lib/python3.8/site-packages/fastai_xla_extensions/multi_core/learner.py:153, in pack_learner_args(self) 151 "pack learner args into dict to pass to spawned process" 152 learner_args = {**self.__stored_args__} --> 153 learner_args['wrapped_model'] = xmp.MpModelWrapper(self.model) 154 learner_args['base_dls'] = self.dls 155 # fetch only cbs not in defaults NameError: name 'xmp' is not defined
I have no idea how to resolve this, any help will be greatly appreciated. Thank you.
The text was updated successfully, but these errors were encountered:
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Working on Kaggle and trying to use TPU with fastai.
Throws the following error:
I have no idea how to resolve this, any help will be greatly appreciated.
Thank you.
The text was updated successfully, but these errors were encountered: