a644350589
Tacotron2+Waveglow/PyT * AMP support * Data preprocessing for Tacotron 2 training * Fixed dropouts on LSTMCells SSD/PyT * script and notebook for inference * AMP support * README update * updates to examples/* BERT/PyT * initial release GNMT/PyT * Default container updated to NGC PyTorch 19.05-py3 * Mixed precision training implemented using APEX AMP * Added inference throughput and latency results on NVIDIA Tesla V100 16G * Added option to run inference on user-provided raw input text from command line NCF/PyT * Updated performance tables. * Default container changed to PyTorch 19.06-py3. * Caching validation negatives between runs Transformer/PyT * new README * jit support added UNet Medical/TF * inference example scripts added * inference benchmark measuring latency added * TRT/TF-TRT support added * README updated GNMT/TF * Performance improvements Small updates (mostly README) for other models.
36 lines
1.1 KiB
Bash
36 lines
1.1 KiB
Bash
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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DATASET_DIR=/data/wmt14_en_de_joined_dict
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TEXT=examples/translation/wmt14_en_de
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(
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cd examples/translation
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bash prepare-wmt14en2de.sh --scaling18
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)
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python preprocess.py \
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--source-lang en \
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--target-lang de \
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--trainpref $TEXT/train \
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--validpref $TEXT/valid \
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--testpref $TEXT/test \
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--destdir ${DATASET_DIR} \
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--nwordssrc 33712 \
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--nwordstgt 33712 \
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--joined-dictionary
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sacrebleu -t wmt14/full -l de-en --echo src > $DATASET_DIR/sacrebleu_reference.de
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cp $TEXT/code $DATASET_DIR/code
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