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#!/bin/bash
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config_path=$1
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train_output_path=$2
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ckpt_name=$3
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FLAGS_allocator_strategy=naive_best_fit \
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FLAGS_fraction_of_gpu_memory_to_use=0.01 \
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python3 ${BIN_DIR}/../synthesize_e2e.py \
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--am=fastspeech2_ljspeech \
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--am_config=${config_path} \
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--am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
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--am_stat=dump/train/speech_stats.npy \
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--voc=pwgan_ljspeech \
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--voc_config=pwg_ljspeech_ckpt_0.5/pwg_default.yaml \
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--voc_ckpt=pwg_ljspeech_ckpt_0.5/pwg_snapshot_iter_400000.pdz \
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--voc_stat=pwg_ljspeech_ckpt_0.5/pwg_stats.npy \
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--lang=en \
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--text=${BIN_DIR}/../sentences_en.txt \
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--output_dir=${train_output_path}/test_e2e \
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--inference_dir=${train_output_path}/inference \
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--phones_dict=dump/phone_id_map.txt
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