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FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04 | |
ARG PYTHON_VERSION=3.9 | |
ARG CU_VERSION=11.3 | |
ARG PYTORCH_VERSION=1.10.2 | |
ARG TORCHAUDIO_TAG=v0.10.2 | |
RUN apt update && apt install -y -qq git curl && apt autoremove && apt autoclean | |
RUN git clone https://github.com/pytorch/audio.git |
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import torch | |
import torchaudio | |
import librosa | |
import matplotlib.pyplot as plt | |
from torchaudio.functional import create_fb_matrix | |
n_fft = 2048 | |
n_mels = 128 | |
sample_rate = 6000 |
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import math | |
from typing import Callable, Optional | |
from warnings import warn | |
import librosa | |
import torch | |
from torch import Tensor | |
from torchaudio import functional as F | |
from torchaudio import transforms as T | |
from torchaudio.compliance import kaldi |
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#!/usr/bin/env bash | |
base_dir="tmp/test_sox" | |
mkdir -p "${base_dir}" | |
base_file="${base_dir}/base.wav" | |
sox --rate 8000 --channels 1 --null "${base_file}" synth 1 sawtooth 1 | |
for type in wav mp3 flac vorbis sph amr-nb amb gsm htk; do | |
for encoding in no_encoding signed-integer unsigned-integer floating-point mu-law a-law; do | |
prefix="${base_dir}/${type}/${encoding}" |
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# From Ubuntu 14.04 clean installation | |
# Install Caffe Dependencies as explained in Caffe doc | |
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler | |
sudo apt-get install --no-install-recommends libboost-all-dev | |
sudo apt-get install libatlas-base-dev | |
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev | |
# Install DeepTerrainRL Dependencies | |
sudo apt-get install libgl1-mesa-dev-lts-trusty libglew-dev freeglut3-dev |
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epoch | phase | steps | nr_games | average_reward | min_game_reward | max_game_reward | last_exploration_rate | total_train_steps | replay_memory_count | meanq | meancost | weight_updates | total_time | epoch_time | steps_per_second | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | random | 50000 | 318 | 48.427672955974856 | 0 | 410 | 1 | 0 | 50000 | 0.0290023 | 0 | 0 | 51.305532 | 51.305451 | 974.5553157694686 | |
1 | train | 250000 | 1631 | 48.10545677498466 | 0 | 410 | 0.7750009 | 250000 | 300000 | 0.848738 | 0.011493682704998764 | 62500 | 758.254548 | 706.916116 | 353.64874889908435 | |
1 | test | 125000 | 331 | 118.85196374622359 | 35 | 475 | 0.05 | 250000 | 300000 | 0.848738 | 0 | 62500 | 1080.655029 | 322.38594 | 387.7340308327342 | |
2 | train | 250000 | 1509 | 65.43074884029161 | 0 | 735 | 0.5500008999999999 | 500000 | 550000 | 1.84968 | 0.0077018891526642701 | 125000 | 1890.091967 | 809.434964 | 308.85742662334513 | |
2 | test | 125000 | 182 | 147.17032967032964 | 30 | 440 | 0.05 | 500000 | 550000 | 1.84968 | 0 | 125000 | 2208.5919830000003 | 318.4854640000001 | 392.48259066542505 | |
3 | train | 250000 | 1459 | 79.64359150102806 | 0 | 505 | 0.32500090000000004 | 750000 | 800000 | 2.54251 | 0.0060853225424165741 | 187500 | 3117.1898290000004 | 908.5958740000001 | 275.14 |
We can make this file beautiful and searchable if this error is corrected: It looks like row 7 should actually have 16 columns, instead of 15 in line 6.
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epoch,phase,steps,nr_games,average_reward,min_game_reward,max_game_reward,last_exploration_rate,total_train_steps,replay_memory_count,meanq,meancost,weight_updates,total_time,epoch_time,steps_per_second | |
0,random,50000,1534,0.20143415906127782,0,4,1,0,50000,0.0233275,0,0,73.598242,73.59814,679.36499482188 | |
1,train,250000,7422,0.27081649151172227,0,8,0.7750009,250000,300000,0.311701,0.0020945143056795832,62500,897.081201,823.461151,303.5965931075236 | |
1,test,125000,293,2.0204778156996586,2,3,0.05,250000,300000,0.311701,0,62500,1223.4046580000002,326.30875100000003,383.07277882351366 | |
2,train,250000,5438,0.6870172857668253,0,7,0.5500008999999999,500000,550000,1.15778,0.002124980911281495,125000,2113.3601790000002,889.953559,280.91353472524287 | |
2,test,125000,341,8.252199413489743,2,30,0.05,500000,550000,1.15778,0,125000,2442.4487400000003,329.0744830000003,379.8532139606822 | |
3,train,250000,3687,1.3037700027122328,0,12,0.32500090000000004,750000,800000,1.33192,0.0025958452892911803,187500,3404.4243850000003,961.97368000 |
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epoch | phase | steps | nr_games | average_reward | min_game_reward | max_game_reward | last_exploration_rate | total_train_steps | replay_memory_count | meanq | meancost | weight_updates | total_time | epoch_time | steps_per_second | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | random | 50000 | 280 | 1.1392857142857133 | 0 | 6 | 1 | 0 | 50000 | 0.0556025 | 0 | 0 | 52.79143 | 52.791329 | 947.1252371767341 | |
1 | train | 250000 | 1368 | 1.2675438596491242 | 0 | 8 | 0.7750009 | 250000 | 300000 | 0.339661 | 0.0018220655856809639 | 62500 | 765.9333250000001 | 713.109987 | 350.57705621503237 | |
1 | test | 125000 | 524 | 3.6488549618320634 | 0 | 11 | 0.05 | 250000 | 300000 | 0.339661 | 0 | 62500 | 1097.69735 | 331.751842 | 376.78765925284597 | |
2 | train | 250000 | 1002 | 3.49301397205589 | 0 | 14 | 0.5500008999999999 | 500000 | 550000 | 1.19563 | 0.0017440362257331581 | 125000 | 1897.285126 | 799.585801 | 312.6618802976968 | |
2 | test | 125000 | 251 | 14.247011952191237 | 9 | 24 | 0.05 | 500000 | 550000 | 1.19563 | 0 | 125000 | 2221.2259830000003 | 323.9288630000001 | 385.88719400407354 | |
3 | train | 250000 | 730 | 6.271232876712325 | 0 | 26 | 0.32500090000000004 | 750000 | 800000 | 1.38715 | 0.00076938667534075418 | 187500 | 3109.9805810000003 | 888.7526130000001 | 281.29312 |
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epoch | phase | steps | nr_games | average_reward | min_game_reward | max_game_reward | last_exploration_rate | total_train_steps | replay_memory_count | meanq | meancost | weight_updates | total_time | epoch_time | steps_per_second | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | random | 50000 | 277 | 1.1407942238267148 | 0 | 6 | 1 | 0 | 50000 | 0.112446 | 0 | 0 | 52.50241 | 52.502328 | 952.3387229610086 | |
1 | train | 250000 | 1377 | 1.1946259985475687 | 0 | 8 | 0.7750009 | 250000 | 300000 | 0.171563 | 0.0018099111913436672 | 62500 | 787.659543 | 735.131274 | 340.0753155823432 | |
1 | test | 125000 | 188 | 8.835106382978726 | 1 | 12 | 0.05 | 250000 | 300000 | 0.171563 | 0 | 62500 | 1135.233281 | 347.5609679999999 | 359.64913068144074 | |
2 | train | 250000 | 1320 | 1.4469696969696961 | 0 | 10 | 0.5500008999999999 | 500000 | 550000 | 0.251034 | 0.00028861318585622896 | 125000 | 1935.7828510000002 | 800.547384 | 312.28632432830483 | |
2 | test | 125000 | 574 | 0.11324041811846683 | 0 | 3 | 0.05 | 500000 | 550000 | 0.251034 | 0 | 125000 | 2292.1107629999997 | 356.31553599999984 | 350.81265723984615 | |
3 | train | 250000 | 1257 | 2.1113762927605424 | 0 | 13 | 0.32500090000000004 | 750000 | 800000 | 0.363649 | 0.00017119690073510134 | 187500 | 3186.594698 | 894.4817389999998 | 2 |