Fix docker image to run on my system's host CUDA version

This commit is contained in:
Brandon Thomas
2022-12-12 20:54:11 -05:00
parent 3f0f94d92e
commit b1dca3ba63
3 changed files with 23 additions and 9 deletions
+19 -3
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@@ -1,5 +1,10 @@
FROM nvidia/cuda:11.8.0-runtime-ubuntu22.04
# NB(bt, 2022-12-12): The version of containerized CUDA must match (or be less than?) that of the host system running this container.
# Juggling these dependencies, plus the underlying Ubuntu system (which controls Python versions), is tricky.
# Nvidia does not provide a CUDA 11.6 with Ubuntu 22.04, which mirrors my own desktop machine. Their CUDA 11.6 + Ubuntu 20.04 image has
# a stale Python (3.8), so we have to use the DeadSnakes PPA to install a more modern version.
# Gross.
FROM nvidia/cuda:11.6.2-runtime-ubuntu20.04
# See: https://github.com/opencontainers/image-spec/blob/master/annotations.md
LABEL org.opencontainers.image.title='Storyteller ML: Voice Conversion'
@@ -13,6 +18,13 @@ LABEL org.opencontainers.image.url='https://github.com/storytold/tts-core'
ENV TZ=UTC
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
# Needed to install "future" release of Python 3.10 under Ubuntu 20.04, which only natively packages Python 3.8.
# We seem to be stuck on Ubuntu 22.04 because containerizd CUDA 11.6 is the only version we can run on my host machine,
# and Nvidia does not supply a (CUDA 11.6, Ubuntu 22.04) docker base image.
RUN apt-get update \
&& apt install software-properties-common -y \
&& add-apt-repository ppa:deadsnakes/ppa
RUN apt-get update \
&& DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC apt-get install -y \
curl \
@@ -27,10 +39,14 @@ RUN apt-get update \
--no-install-recommends
# NB: Emit version for build debugging
RUN python3 --version
RUN python3.10 --version
COPY requirements.txt .
# Get the correct PyTorch versions with the interactive version selector here: https://pytorch.org/
# pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116 # For CUDA 11.6
# pip install torch torchvision torchaudio # For CUDA 11.7
# # NB: Forget about virtual environments inside the container.
# # Also note the --extra-index-url, which is required for pytorch.
# # The version persisted to 'requirements.txt' chokes without it.
@@ -41,7 +57,7 @@ COPY requirements.txt .
# NB: Install requirements in a virtual env too.
# Also note the --extra-index-url, which is required for pytorch.
# The version persisted to 'requirements.txt' chokes without it.
RUN python3 -m venv python
RUN python3.10 -m venv python
RUN . python/bin/activate \
&& pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116 \
&& pip install -r requirements.txt \
+4 -3
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@@ -13,6 +13,10 @@ import sys
import torch
import torchaudio
from gpu_utils import print_gpu_info
print_gpu_info()
from collections import OrderedDict
from time import time
from torch.nn.modules.utils import consume_prefix_in_state_dict_if_present
@@ -28,12 +32,9 @@ sys.path.append("./hifigan/")
from hifigan.generator import HifiganGenerator
from hifigan.generator import consume_prefix_in_state_dict_if_present
from gpu_utils import print_gpu_info
# ===========================================
print_gpu_info()
parser = argparse.ArgumentParser()
parser.add_argument('--acoustic_model_filename', type=str, required=True)
parser.add_argument('--hifigan_model_filename', type=str, required=True)
-3
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@@ -42,9 +42,6 @@ soundfile==0.11.0
soupsieve==2.3.2.post1
stack-data==0.6.2
threadpoolctl==3.1.0
torch==1.13.0+cu116
torchaudio==0.13.0+cu116
torchvision==0.14.0+cu116
tqdm==4.64.1
traitlets==5.6.0
typing_extensions==4.4.0