butchland

Keybase proof

I hereby claim:

• I am butchland on github.
• I am butchland (https://keybase.io/butchland) on keybase.
• I have a public key ASBvBzjyR_hRPyRKgjiRO07GVwQ8Lr2kNAq3m_fvVBM_lgo

To claim this, I am signing this object:

butchland

Keybase proof

I hereby claim:

• I am butchland on github.
• I am butchland (https://keybase.io/butchland) on keybase.
• I have a public key ASDCeJ1Bq2BMIUiRi_Yb2fh50ByveTx-O8TX1HDnTM-gTAo

To claim this, I am signing this object:

butchland

butchland

# Run the model 1 pass forward (with grad enabled)
import fastai_xla_extensions.core
from fastai2.text.all import *
import torch_xla.debug.metrics as met
import torch_xla.core.xla_model as xm

# from my_timesaver_utils.profiling_callback import *
path = untar_data(URLs.IMDB_SAMPLE)
df = pd.read_csv(path/'texts.csv')
dls = TextDataLoaders.from_df(df,path=path, text_col='text', label_col='label', 

butchland

import fastai_xla_extensions.core
from fastai2.text.all import *
import torch_xla.debug.metrics as met


# from my_timesaver_utils.profiling_callback import *
path = untar_data(URLs.IMDB_SAMPLE)
df = pd.read_csv(path/'texts.csv')
dls = TextDataLoaders.from_df(df,path=path, text_col='text', label_col='label', valid_col='is_valid')
learner = text_classifier_learner(dls, AWD_LSTM, drop_mult=0.5, metrics=accuracy)

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#!/bin/bash
# simplifying this script as per Jeremy Howard's post 
# here https://forums.fast.ai/t/major-new-changes-and-features/40742/18
LC_ALL=C find . -type f -name '*.ipynb' -exec sed -i '' s/begin_fit/before_fit/g {} +
LC_ALL=C find . -type f -name '*.ipynb' -exec sed -i '' s/begin_epoch/before_epoch/g {} +
LC_ALL=C find . -type f -name '*.ipynb' -exec sed -i '' s/begin_train/before_train/g {} +
LC_ALL=C find . -type f -name '*.ipynb' -exec sed -i '' s/begin_batch/before_batch/g {} +
LC_ALL=C find . -type f -name '*.ipynb' -exec sed -i '' s/begin_validate/before_validate/g {} +
# rebuild .py because due to updated .ipynb 
nbdev_build_lib

butchland

butchland

# Run this to install kornia
!pip install kornia


# create a new fastai transform
from kornia import rgb_to_grayscale
class RGB2GreyTransform(DisplayedTransform):
    order = 15 # run after IntToFloatTransform
    def encodes(self, o:TensorImage):
         # expand restores tensor shape back to use c channels 

butchland

butchland