generative-model-cosmology/note.txt at master · Silenthinker/generative-model-cosmology · GitHub

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Baseline
Train a cnn


TODO
Change BN to LN
Change it to conditional version

Procedure
* augment image data
* classify all images with high accuracy (semi-learning using DCGAN?)
* train DCGAN


fairseq preprocess -sourcelang art -targetlang sum \
  -trainpref $TEXT/train -validpref $TEXT/valid -testpref $TEXT/test \
  -thresholdsrc 3 -thresholdtgt 3 -destdir data-bin/sumdata

fairseq preprocess -sourcelang de -targetlang en \
  -trainpref $TEXT/train -validpref $TEXT/valid -testpref $TEXT/test \
  -thresholdsrc 3 -thresholdtgt 3 -destdir data-bin/iwslt14.tokenized.de-en

fairseq train -sourcelang art -targetlang sum -datadir data-bin/sumdata \
  -model fconv -nenclayer 4 -nlayer 3 -dropout 0.2 -optim nag -lr 0.25 -clip 0.1 \
  -momentum 0.99 -timeavg -bptt 0 -savedir trainings/fconv

python3 -m bin.infer \
  --tasks "
    - class: DecodeText
    - class: DumpBeams
      params:
        file: ${PRED_DIR}/beams.npz" \
  --model_dir $MODEL_DIR \
  --model_params "
    inference.beam_search.beam_width: 5
    decoder.class: seq2seq.decoders.ConvDecoderFairseqBS" \
  --input_pipeline "
    class: ParallelTextInputPipelineFairseq
    params:
      source_files:
        - $TEST_SOURCES" \
  > ${PRED_DIR}/predictions.txt

python3 -m bin.infer \
  --tasks "
    - class: DecodeText" \
  --model_dir $MODEL_DIR \
  --model_params "
    inference.beam_search.beam_width: 1
    decoder.class: seq2seq.decoders.ConvDecoderFairseq" \
  --input_pipeline "
    class: ParallelTextInputPipelineFairseq
    params:
      source_files:
        - $TEST_SOURCES" \
  > ${PRED_DIR}/predictions.txt