代码拉取完成,页面将自动刷新
同步操作将从 Gitee 极速下载/DeepSpeech 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
#!/bin/bash
set -xe
source $(dirname "$0")/tc-tests-utils.sh
pyver_full=$1
ds=$2
frozen=$2
if [ -z "${pyver_full}" ]; then
echo "No python version given, aborting."
exit 1
fi;
pyver=$(echo "${pyver_full}" | cut -d':' -f1)
# 2.7.x => 27
pyver_pkg=$(echo "${pyver}" | cut -d'.' -f1,2 | tr -d '.')
py_unicode_type=$(echo "${pyver_full}" | cut -d':' -f2)
if [ "${py_unicode_type}" = "m" ]; then
pyconf="ucs2"
elif [ "${py_unicode_type}" = "mu" ]; then
pyconf="ucs4"
fi;
unset PYTHON_BIN_PATH
unset PYTHONPATH
export PYENV_ROOT="${HOME}/ds-train/.pyenv"
export PATH="${PYENV_ROOT}/bin:${HOME}/bin:$PATH"
mkdir -p ${PYENV_ROOT} || true
mkdir -p ${TASKCLUSTER_ARTIFACTS} || true
mkdir -p /tmp/train || true
install_pyenv "${PYENV_ROOT}"
install_pyenv_virtualenv "$(pyenv root)/plugins/pyenv-virtualenv"
PYENV_NAME=deepspeech-train
PYTHON_CONFIGURE_OPTS="--enable-unicode=${pyconf}" pyenv install ${pyver}
pyenv virtualenv ${pyver} ${PYENV_NAME}
source ${PYENV_ROOT}/versions/${pyver}/envs/${PYENV_NAME}/bin/activate
pip install --upgrade -r ${HOME}/DeepSpeech/ds/requirements.txt | cat
platform=$(python -c 'import sys; import platform; plat = platform.system().lower(); arch = platform.machine().lower(); plat = "manylinux1" if plat == "linux" and arch == "x86_64" else plat; plat = "macosx_10_10" if plat == "darwin" else plat; sys.stdout.write("%s_%s" % (plat, platform.machine()));')
whl_ds_version="$(python -c 'from pkg_resources import parse_version; print(parse_version("'${DS_VERSION}'"))')"
deepspeech_pkg="deepspeech-${whl_ds_version}-cp${pyver_pkg}-cp${pyver_pkg}${py_unicode_type}-${platform}.whl"
if [ "${ds}" = "deepspeech" ]; then
pip install ${DEEPSPEECH_ARTIFACTS_ROOT}/${deepspeech_pkg} | cat
python -c "import tensorflow; from deepspeech import audioToInputVector"
# Since this build depends on the completion of the whole deepspeech package
# and we might get into funny situation with --config=monolithic, then let's
# be extra-cautious and leverage our dependency against the build to also
# test with libctc_decoder_with_kenlm.so that is packaged for release
download_native_client_files "/tmp/ds"
else
download_ctc_kenlm "/tmp/ds"
fi;
pushd ${HOME}/DeepSpeech/ds/
if [ "${frozen}" = "frozen" ]; then
download_for_frozen
time ./bin/run-tc-ldc93s1_frozen.sh
else
time ./bin/run-tc-ldc93s1_new.sh
fi;
popd
deactivate
pyenv uninstall --force ${PYENV_NAME}
cp /tmp/train/output_graph.pb ${TASKCLUSTER_ARTIFACTS}
if [ ! -z "${CONVERT_GRAPHDEF_MEMMAPPED}" ]; then
convert_graphdef=$(basename "${CONVERT_GRAPHDEF_MEMMAPPED}")
wget -P "/tmp/" "${CONVERT_GRAPHDEF_MEMMAPPED}" && chmod +x "/tmp/${convert_graphdef}"
/tmp/${convert_graphdef} --in_graph=/tmp/train/output_graph.pb --out_graph=/tmp/train/output_graph.pbmm
cp /tmp/train/output_graph.pbmm ${TASKCLUSTER_ARTIFACTS}
fi;
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