From 5fa78ee69f7294794952b4641d9ea8bfdecf73e3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Eren=20G=C3=B6lge?= <egolge@coqui.ai>
Date: Thu, 30 Sep 2021 14:31:46 +0000
Subject: [PATCH] Remove old Tacotron recipes

---
 recipes/ljspeech/tacotron2-DCA/run.sh         |  22 ----
 .../ljspeech/tacotron2-DCA/scale_stats.npy    | Bin 10700 -> 0 bytes
 .../ljspeech/tacotron2-DCA/tacotron2-DCA.json |  85 ----------------
 recipes/ljspeech/tacotron2-DDC/run.sh         |  22 ----
 .../ljspeech/tacotron2-DDC/scale_stats.npy    | Bin 10700 -> 0 bytes
 .../ljspeech/tacotron2-DDC/tacotron2-DDC.json |  94 ------------------
 6 files changed, 223 deletions(-)
 delete mode 100644 recipes/ljspeech/tacotron2-DCA/run.sh
 delete mode 100644 recipes/ljspeech/tacotron2-DCA/scale_stats.npy
 delete mode 100644 recipes/ljspeech/tacotron2-DCA/tacotron2-DCA.json
 delete mode 100644 recipes/ljspeech/tacotron2-DDC/run.sh
 delete mode 100644 recipes/ljspeech/tacotron2-DDC/scale_stats.npy
 delete mode 100644 recipes/ljspeech/tacotron2-DDC/tacotron2-DDC.json

diff --git a/recipes/ljspeech/tacotron2-DCA/run.sh b/recipes/ljspeech/tacotron2-DCA/run.sh
deleted file mode 100644
index 8bcd9e3d..00000000
--- a/recipes/ljspeech/tacotron2-DCA/run.sh
+++ /dev/null
@@ -1,22 +0,0 @@
-#!/bin/bash
-# take the scripts's parent's directory to prefix all the output paths.
-RUN_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
-echo $RUN_DIR
-# # download LJSpeech dataset
-# wget http://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2
-# # extract
-# tar -xjf LJSpeech-1.1.tar.bz2
-# # create train-val splits
-# shuf LJSpeech-1.1/metadata.csv > LJSpeech-1.1/metadata_shuf.csv
-# head -n 12000 LJSpeech-1.1/metadata_shuf.csv > LJSpeech-1.1/metadata_train.csv
-# tail -n 1100 LJSpeech-1.1/metadata_shuf.csv > LJSpeech-1.1/metadata_val.csv
-# mv LJSpeech-1.1 $RUN_DIR/
-# rm LJSpeech-1.1.tar.bz2
-# # compute dataset mean and variance for normalization
-# python TTS/bin/compute_statistics.py $RUN_DIR/tacotron2-DDC.json $RUN_DIR/scale_stats.npy --data_path $RUN_DIR/LJSpeech-1.1/wavs/
-# training ....
-# change the GPU id if needed
-CUDA_VISIBLE_DEVICES="0" python TTS/bin/train_tts.py --config_path $RUN_DIR/tacotron2-DCA.json \
-                                                     --coqpit.output_path $RUN_DIR  \
-                                                     --coqpit.datasets.0.path /media/erogol/nvme_linux/gdrive/Projects/TTS/recipes/ljspeech/tacotron2-DDC/LJSpeech-1.1/    \
-                                                     --coqpit.audio.stats_path $RUN_DIR/scale_stats.npy \
\ No newline at end of file
diff --git a/recipes/ljspeech/tacotron2-DCA/scale_stats.npy b/recipes/ljspeech/tacotron2-DCA/scale_stats.npy
deleted file mode 100644
index 1dc577a68253f87470e66444db4f19e583dc7adb..0000000000000000000000000000000000000000
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diff --git a/recipes/ljspeech/tacotron2-DCA/tacotron2-DCA.json b/recipes/ljspeech/tacotron2-DCA/tacotron2-DCA.json
deleted file mode 100644
index 73bb8ae3..00000000
--- a/recipes/ljspeech/tacotron2-DCA/tacotron2-DCA.json
+++ /dev/null
@@ -1,85 +0,0 @@
-{
-    "datasets": [
-        {
-            "name": "ljspeech",
-            "path": "DEFINE THIS",
-            "meta_file_train": "metadata.csv",
-            "meta_file_val": null
-        }
-    ],
-    "audio": {
-        "fft_size": 1024,
-        "win_length": 1024,
-        "hop_length": 256,
-        "frame_length_ms": null,
-        "frame_shift_ms": null,
-        "sample_rate": 22050,
-        "preemphasis": 0.0,
-        "ref_level_db": 20,
-        "do_trim_silence": true,
-        "trim_db": 60,
-        "power": 1.5,
-        "griffin_lim_iters": 60,
-        "num_mels": 80,
-        "mel_fmin": 50.0,
-        "mel_fmax": 7600.0,
-        "spec_gain": 1,
-        "signal_norm": true,
-        "min_level_db": -100,
-        "symmetric_norm": true,
-        "max_norm": 4.0,
-        "clip_norm": true,
-        "stats_path": "scale_stats.npy"
-    },
-    "distributed_backend": "nlcc",
-    "distributed_url": "tcp:\/\/localhost:54321",
-    "model": "Tacotron2",
-    "run_name": "ljspeech-dca",
-    "run_description": "tacotron2 with dynamic conv attention.",
-    "batch_size": 64,
-    "eval_batch_size": 16,
-    "mixed_precision": true,
-    "loss_masking": true,
-    "decoder_loss_alpha": 0.25,
-    "postnet_loss_alpha": 0.25,
-    "postnet_diff_spec_alpha": 0.25,
-    "decoder_diff_spec_alpha": 0.25,
-    "decoder_ssim_alpha": 0.25,
-    "postnet_ssim_alpha": 0.25,
-    "ga_alpha": 5.0,
-    "stopnet_pos_weight": 15.0,
-    "run_eval": true,
-    "test_delay_epochs": 10,
-    "max_decoder_steps": 1000,
-    "noam_schedule": true,
-    "grad_clip": 0.05,
-    "epochs": 1000,
-    "lr": 0.001,
-    "wd": 1e-06,
-    "warmup_steps": 4000,
-    "memory_size": -1,
-    "prenet_type": "original",
-    "prenet_dropout": true,
-    "attention_type": "dynamic_convolution",
-    "location_attn": true,
-    "attention_norm": "sigmoid",
-    "r": 2,
-    "stopnet": true,
-    "separate_stopnet": true,
-    "print_step": 25,
-    "tb_plot_step": 100,
-    "print_eval": false,
-    "save_step": 10000,
-    "checkpoint": true,
-    "text_cleaner": "phoneme_cleaners",
-    "num_loader_workers": 4,
-    "num_val_loader_workers": 4,
-    "batch_group_size": 4,
-    "min_seq_len": 6,
-    "max_seq_len": 180,
-    "compute_input_seq_cache": true,
-    "output_path": "DEFINE THIS",
-    "phoneme_cache_path": "DEFINE THIS",
-    "use_phonemes": false,
-    "phoneme_language": "en-us"
-}
diff --git a/recipes/ljspeech/tacotron2-DDC/run.sh b/recipes/ljspeech/tacotron2-DDC/run.sh
deleted file mode 100644
index dd36454f..00000000
--- a/recipes/ljspeech/tacotron2-DDC/run.sh
+++ /dev/null
@@ -1,22 +0,0 @@
-#!/bin/bash
-# take the scripts's parent's directory to prefix all the output paths.
-RUN_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
-echo $RUN_DIR
-# download LJSpeech dataset
-wget http://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2
-# extract
-tar -xjf LJSpeech-1.1.tar.bz2
-# create train-val splits
-shuf LJSpeech-1.1/metadata.csv > LJSpeech-1.1/metadata_shuf.csv
-head -n 12000 LJSpeech-1.1/metadata_shuf.csv > LJSpeech-1.1/metadata_train.csv
-tail -n 1100 LJSpeech-1.1/metadata_shuf.csv > LJSpeech-1.1/metadata_val.csv
-mv LJSpeech-1.1 $RUN_DIR/
-rm LJSpeech-1.1.tar.bz2
-# compute dataset mean and variance for normalization
-python TTS/bin/compute_statistics.py $RUN_DIR/tacotron2-DDC.json $RUN_DIR/scale_stats.npy --data_path $RUN_DIR/LJSpeech-1.1/wavs/
-# training ....
-# change the GPU id if needed
-CUDA_VISIBLE_DEVICES="0" python TTS/bin/train_tts.py --config_path $RUN_DIR/tacotron2-DDC.json \
-                                                     --coqpit.output_path $RUN_DIR  \
-                                                     --coqpit.datasets.0.path $RUN_DIR/LJSpeech-1.1/    \
-                                                     --coqpit.audio.stats_path $RUN_DIR/scale_stats.npy \
\ No newline at end of file
diff --git a/recipes/ljspeech/tacotron2-DDC/scale_stats.npy b/recipes/ljspeech/tacotron2-DDC/scale_stats.npy
deleted file mode 100644
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diff --git a/recipes/ljspeech/tacotron2-DDC/tacotron2-DDC.json b/recipes/ljspeech/tacotron2-DDC/tacotron2-DDC.json
deleted file mode 100644
index 339e65b8..00000000
--- a/recipes/ljspeech/tacotron2-DDC/tacotron2-DDC.json
+++ /dev/null
@@ -1,94 +0,0 @@
-{
-    "model": "Tacotron2",
-    "datasets": [
-        {
-            "name": "ljspeech",
-            "path": "DEFINE THIS",
-            "meta_file_train": "metadata.csv",
-            "meta_file_val": null
-        }
-    ],
-    "audio": {
-        "fft_size": 1024,
-        "win_length": 1024,
-        "hop_length": 256,
-        "frame_length_ms": null,
-        "frame_shift_ms": null,
-        "sample_rate": 22050,
-        "preemphasis": 0.0,
-        "ref_level_db": 20,
-        "do_trim_silence": true,
-        "trim_db": 60,
-        "power": 1.5,
-        "griffin_lim_iters": 60,
-        "num_mels": 80,
-        "mel_fmin": 50.0,
-        "mel_fmax": 7600.0,
-        "spec_gain": 1,
-        "signal_norm": true,
-        "min_level_db": -100,
-        "symmetric_norm": true,
-        "max_norm": 4.0,
-        "clip_norm": true,
-        "stats_path": "scale_stats.npy"
-    },
-    "gst":{
-        "gst_embedding_dim": 256,
-        "gst_num_heads": 4,
-        "gst_num_style_tokens": 10
-    },
-    "distributed_backend": "gloo",
-    "distributed_url": "tcp:\/\/localhost:54321",
-    "run_name": "ljspeech-ddc",
-    "run_description": "tacotron2 with double decoder consistency.",
-    "batch_size": 64,
-    "eval_batch_size": 16,
-    "mixed_precision": false,
-    "loss_masking": true,
-    "decoder_loss_alpha": 0.25,
-    "postnet_loss_alpha": 0.25,
-    "postnet_diff_spec_alpha": 0.25,
-    "decoder_diff_spec_alpha": 0.25,
-    "decoder_ssim_alpha": 0.25,
-    "postnet_ssim_alpha": 0.25,
-    "ga_alpha": 5.0,
-    "stopnet_pos_weight": 15.0,
-    "run_eval": true,
-    "test_delay_epochs": 10,
-    "test_sentences_file": null,
-    "max_decoder_steps": 1000,
-    "noam_schedule": true,
-    "grad_clip": 0.05,
-    "epochs": 1000,
-    "lr": 0.001,
-    "wd": 1e-06,
-    "warmup_steps": 4000,
-    "memory_size": -1,
-    "prenet_type": "original",
-    "prenet_dropout": true,
-    "attention_type": "original",
-    "location_attn": true,
-    "double_decoder_consistency": true,
-    "ddc_r": 6,
-    "attention_norm": "sigmoid",
-    "r": 6,
-    "gradual_training": [[0, 6, 64], [10000, 4, 32], [50000, 3, 32], [100000, 2, 32]],
-    "stopnet": true,
-    "separate_stopnet": true,
-    "print_step": 25,
-    "tb_plot_step": 100,
-    "print_eval": false,
-    "save_step": 10000,
-    "checkpoint": true,
-    "text_cleaner": "phoneme_cleaners",
-    "num_loader_workers": 4,
-    "num_val_loader_workers": 4,
-    "batch_group_size": 4,
-    "min_seq_len": 6,
-    "max_seq_len": 180,
-    "compute_input_seq_cache": true,
-    "output_path": "DEFINE THIS",
-    "phoneme_cache_path": "DEFINE THIS",
-    "use_phonemes": false,
-    "phoneme_language": "en-us"
-}