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tc-tests-utils.sh
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tc-tests-utils.sh
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#!/bin/bash
set -xe
export OS=$(uname)
if [ "${OS}" = "Linux" ]; then
export DS_ROOT_TASK=${HOME}
fi;
if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
export DS_ROOT_TASK=${TASKCLUSTER_TASK_DIR}
export PLATFORM_EXE_SUFFIX=.exe
fi;
if [ "${OS}" = "Darwin" ]; then
export DS_ROOT_TASK=${TASKCLUSTER_TASK_DIR}
export SWIG_LIB="$(find ${DS_ROOT_TASK}/homebrew/Cellar/swig/ -type f -name "swig.swg" | xargs dirname)"
# It seems chaining |export DYLD_LIBRARY_PATH=...| does not work, maybe
# because of SIP? Who knows ...
if [ ! -z "${EXTRA_ENV}" ]; then
eval "export ${EXTRA_ENV}"
fi;
fi;
export TASKCLUSTER_ARTIFACTS=${TASKCLUSTER_ARTIFACTS:-/tmp/artifacts}
export TASKCLUSTER_TMP_DIR=${TASKCLUSTER_TMP_DIR:-/tmp}
export ANDROID_TMP_DIR=/data/local/tmp
mkdir -p ${TASKCLUSTER_TMP_DIR} || true
export DS_TFDIR=${DS_ROOT_TASK}/DeepSpeech/tf
export DS_DSDIR=${DS_ROOT_TASK}/DeepSpeech/ds
export DS_VERSION="$(cat ${DS_DSDIR}/VERSION)"
export ANDROID_SDK_HOME=${DS_ROOT_TASK}/DeepSpeech/Android/SDK/
export ANDROID_NDK_HOME=${DS_ROOT_TASK}/DeepSpeech/Android/android-ndk-r18b/
WGET=${WGET:-"wget"}
TAR=${TAR:-"tar"}
XZ=${XZ:-"pixz -9"}
UNXZ=${UNXZ:-"pixz -d"}
if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
WGET=/usr/bin/wget.exe
TAR=/usr/bin/tar.exe
XZ="xz -9 -T0 -c -"
UNXZ="xz -9 -T0 -d"
fi
model_source="${DEEPSPEECH_TEST_MODEL}"
model_name="$(basename "${model_source}")"
model_name_mmap="$(basename -s ".pb" "${model_source}").pbmm"
model_source_mmap="$(dirname "${model_source}")/${model_name_mmap}"
SUPPORTED_PYTHON_VERSIONS=${SUPPORTED_PYTHON_VERSIONS:-2.7.15:ucs2 2.7.15:ucs4 3.4.9:ucs4 3.5.6:ucs4 3.6.7:ucs4 3.7.1:ucs4}
SUPPORTED_NODEJS_VERSIONS=${SUPPORTED_NODEJS_VERSIONS:-4.9.1 5.12.0 6.14.4 7.10.1 8.12.0 9.11.2 10.12.0 11.0.0}
SUPPORTED_ELECTRONJS_VERSIONS=${SUPPORTED_ELECTRONJS_VERSIONS:-1.6.18 1.7.16 1.8.8 2.0.18 3.0.16 3.1.8 4.0.3 4.1.4}
strip() {
echo "$(echo $1 | sed -e 's/^[[:space:]]+//' -e 's/[[:space:]]+$//')"
}
# This verify exact inference result
assert_correct_inference()
{
phrase=$(strip "$1")
expected=$(strip "$2")
status=$3
if [ "$status" -ne "0" ]; then
case "$(cat ${TASKCLUSTER_TMP_DIR}/stderr)" in
*"incompatible with minimum version"*)
echo "Prod model too old for client, skipping test."
return 0
;;
*)
echo "Client failed to run:"
cat ${TASKCLUSTER_TMP_DIR}/stderr
return 1
;;
esac
fi
if [ -z "${phrase}" -o -z "${expected}" ]; then
echo "One or more empty strings:"
echo "phrase: <${phrase}>"
echo "expected: <${expected}>"
return 1
fi;
if [ "${phrase}" = "${expected}" ]; then
echo "Proper output has been produced:"
echo "${phrase}"
return 0
else
echo "!! Non matching output !!"
echo "got: <${phrase}>"
echo "xxd:"; echo "${phrase}" | xxd
echo "-------------------"
echo "expected: <${expected}>"
echo "xxd:"; echo "${expected}" | xxd
return 1
fi;
}
# This verify that ${expected} is contained within ${phrase}
assert_working_inference()
{
phrase=$1
expected=$2
status=$3
if [ -z "${phrase}" -o -z "${expected}" ]; then
echo "One or more empty strings:"
echo "phrase: <${phrase}>"
echo "expected: <${expected}>"
return 1
fi;
if [ "$status" -ne "0" ]; then
case "$(cat ${TASKCLUSTER_TMP_DIR}/stderr)" in
*"incompatible with minimum version"*)
echo "Prod model too old for client, skipping test."
return 0
;;
*)
echo "Client failed to run:"
cat ${TASKCLUSTER_TMP_DIR}/stderr
return 1
;;
esac
fi
case "${phrase}" in
*${expected}*)
echo "Proper output has been produced:"
echo "${phrase}"
return 0
;;
*)
echo "!! Non matching output !!"
echo "got: <${phrase}>"
echo "xxd:"; echo "${phrase}" | xxd
echo "-------------------"
echo "expected: <${expected}>"
echo "xxd:"; echo "${expected}" | xxd
return 1
;;
esac
}
assert_shows_something()
{
stderr=$1
expected=$2
if [ -z "${stderr}" -o -z "${expected}" ]; then
echo "One or more empty strings:"
echo "stderr: <${stderr}>"
echo "expected: <${expected}>"
return 1
fi;
case "${stderr}" in
*"incompatible with minimum version"*)
echo "Prod model too old for client, skipping test."
return 0
;;
*${expected}*)
echo "Proper output has been produced:"
echo "${stderr}"
return 0
;;
*)
echo "!! Non matching output !!"
echo "got: <${stderr}>"
echo "xxd:"; echo "${stderr}" | xxd
echo "-------------------"
echo "expected: <${expected}>"
echo "xxd:"; echo "${expected}" | xxd
return 1
;;
esac
}
assert_not_present()
{
stderr=$1
not_expected=$2
if [ -z "${stderr}" -o -z "${not_expected}" ]; then
echo "One or more empty strings:"
echo "stderr: <${stderr}>"
echo "not_expected: <${not_expected}>"
return 1
fi;
case "${stderr}" in
*${not_expected}*)
echo "!! Not expected was present !!"
echo "got: <${stderr}>"
echo "xxd:"; echo "${stderr}" | xxd
echo "-------------------"
echo "not_expected: <${not_expected}>"
echo "xxd:"; echo "${not_expected}" | xxd
return 1
;;
*)
echo "Proper not expected output has not been produced:"
echo "${stderr}"
return 0
;;
esac
}
assert_correct_ldc93s1()
{
assert_correct_inference "$1" "she had your dark suit in greasy wash water all year" "$2"
}
assert_working_ldc93s1()
{
assert_working_inference "$1" "she had your dark suit in greasy wash water all year" "$2"
}
assert_correct_ldc93s1_lm()
{
assert_correct_inference "$1" "she had your dark suit in greasy wash water all year" "$2"
}
assert_working_ldc93s1_lm()
{
assert_working_inference "$1" "she had your dark suit in greasy wash water all year" "$2"
}
assert_correct_multi_ldc93s1()
{
assert_shows_something "$1" "/LDC93S1.wav%she had your dark suit in greasy wash water all year%" "$?"
assert_shows_something "$1" "/LDC93S1_pcms16le_2_44100.wav%she had your dark suit in greasy wash water all year%" "$?"
## 8k will output garbage anyway ...
# assert_shows_something "$1" "/LDC93S1_pcms16le_1_8000.wav%she hayorasryrtl lyreasy asr watal w water all year%"
}
assert_correct_ldc93s1_prodmodel()
{
assert_correct_inference "$1" "she had a due and greasy wash water year" "$2"
}
assert_correct_ldc93s1_prodmodel_stereo_44k()
{
assert_correct_inference "$1" "she had a due and greasy wash water year" "$2"
}
assert_correct_warning_upsampling()
{
assert_shows_something "$1" "erratic speech recognition"
}
assert_tensorflow_version()
{
assert_shows_something "$1" "${EXPECTED_TENSORFLOW_VERSION}"
}
assert_deepspeech_version()
{
assert_not_present "$1" "DeepSpeech: unknown"
}
check_tensorflow_version()
{
set +e
ds_help=$(${DS_BINARY_PREFIX}deepspeech 2>&1 1>/dev/null)
set -e
assert_tensorflow_version "${ds_help}"
assert_deepspeech_version "${ds_help}"
}
assert_deepspeech_runtime()
{
local expected_runtime=$1
set +e
local ds_version=$(${DS_BINARY_PREFIX}deepspeech --version 2>&1)
set -e
assert_shows_something "${ds_version}" "${expected_runtime}"
}
check_runtime_nodejs()
{
assert_deepspeech_runtime "Runtime: Node"
}
check_runtime_electronjs()
{
assert_deepspeech_runtime "Runtime: Electron"
}
run_tflite_basic_inference_tests()
{
set +e
phrase_pbmodel_nolm=$(${DS_BINARY_PREFIX}deepspeech --model ${ANDROID_TMP_DIR}/ds/${model_name} --alphabet ${ANDROID_TMP_DIR}/ds/alphabet.txt --audio ${ANDROID_TMP_DIR}/ds/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
set -e
assert_correct_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
}
run_netframework_inference_tests()
{
set +e
phrase_pbmodel_nolm=$(DeepSpeechConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
set -e
assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
set +e
phrase_pbmodel_nolm=$(DeepSpeechConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
set -e
assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
set +e
phrase_pbmodel_withlm=$(DeepSpeechConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
set -e
assert_working_ldc93s1_lm "${phrase_pbmodel_withlm}" "$?"
}
run_electronjs_inference_tests()
{
set +e
phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
set -e
assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
set +e
phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
set -e
assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
set +e
phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
set -e
assert_working_ldc93s1_lm "${phrase_pbmodel_withlm}" "$?"
}
run_basic_inference_tests()
{
set +e
phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
status=$?
set -e
assert_correct_ldc93s1 "${phrase_pbmodel_nolm}" "$status"
set +e
phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
status=$?
set -e
assert_correct_ldc93s1 "${phrase_pbmodel_nolm}" "$status"
set +e
phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
status=$?
set -e
assert_correct_ldc93s1_lm "${phrase_pbmodel_withlm}" "$status"
}
run_all_inference_tests()
{
run_basic_inference_tests
set +e
phrase_pbmodel_nolm_stereo_44k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
status=$?
set -e
assert_correct_ldc93s1 "${phrase_pbmodel_nolm_stereo_44k}" "$status"
set +e
phrase_pbmodel_withlm_stereo_44k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
status=$?
set -e
assert_correct_ldc93s1_lm "${phrase_pbmodel_withlm_stereo_44k}" "$status"
set +e
phrase_pbmodel_nolm_mono_8k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
set -e
assert_correct_warning_upsampling "${phrase_pbmodel_nolm_mono_8k}"
set +e
phrase_pbmodel_withlm_mono_8k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
set -e
assert_correct_warning_upsampling "${phrase_pbmodel_withlm_mono_8k}"
}
run_prod_inference_tests()
{
set +e
phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
status=$?
set -e
assert_correct_ldc93s1_prodmodel "${phrase_pbmodel_withlm}" "$status"
set +e
phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
status=$?
set -e
assert_correct_ldc93s1_prodmodel "${phrase_pbmodel_withlm}" "$status"
set +e
phrase_pbmodel_withlm_stereo_44k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
status=$?
set -e
assert_correct_ldc93s1_prodmodel_stereo_44k "${phrase_pbmodel_withlm_stereo_44k}" "$status"
set +e
phrase_pbmodel_withlm_mono_8k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
set -e
assert_correct_warning_upsampling "${phrase_pbmodel_withlm_mono_8k}"
}
run_multi_inference_tests()
{
set +e -o pipefail
multi_phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --audio ${TASKCLUSTER_TMP_DIR}/ 2>${TASKCLUSTER_TMP_DIR}/stderr | tr '\n' '%')
status=$?
set -e +o pipefail
assert_correct_multi_ldc93s1 "${multi_phrase_pbmodel_nolm}" "$status"
set +e -o pipefail
multi_phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --alphabet ${TASKCLUSTER_TMP_DIR}/alphabet.txt --lm ${TASKCLUSTER_TMP_DIR}/lm.binary --trie ${TASKCLUSTER_TMP_DIR}/trie --audio ${TASKCLUSTER_TMP_DIR}/ 2>${TASKCLUSTER_TMP_DIR}/stderr | tr '\n' '%')
status=$?
set -e +o pipefail
assert_correct_multi_ldc93s1 "${multi_phrase_pbmodel_withlm}" "$status"
}
android_run_tests()
{
cd ${DS_DSDIR}/native_client/java/
adb shell service list
adb shell ls -hal /data/local/tmp/test/
./gradlew --console=plain libdeepspeech:connectedAndroidTest
}
generic_download_tarxz()
{
target_dir=$1
url=$2
if [ -z "${target_dir}" -o -z "${url}" ]; then
echo "Empty name for target directory or URL:"
echo " target_dir=${target_dir}"
echo " url=${url}"
exit 1
fi;
mkdir -p ${target_dir} || true
${WGET} ${url} -O - | ${UNXZ} | ${TAR} -C ${target_dir} -xf -
}
download_native_client_files()
{
generic_download_tarxz "$1" "${DEEPSPEECH_ARTIFACTS_ROOT}/native_client.tar.xz"
}
install_nuget()
{
PROJECT_NAME=$1
if [ -z "${PROJECT_NAME}" ]; then
exit "Please call with a valid PROJECT_NAME"
exit 1
fi;
nuget="${PROJECT_NAME}.${DS_VERSION}.nupkg"
export PATH=$PATH:$(cygpath ${ChocolateyInstall})/bin
mkdir -p "${TASKCLUSTER_TMP_DIR}/repo/"
mkdir -p "${TASKCLUSTER_TMP_DIR}/ds/"
${WGET} -O - "${DEEPSPEECH_ARTIFACTS_ROOT}/${nuget}" | gunzip > "${TASKCLUSTER_TMP_DIR}/${PROJECT_NAME}.${DS_VERSION}.nupkg"
${WGET} -O - "${DEEPSPEECH_ARTIFACTS_ROOT}/DeepSpeechConsole.exe" | gunzip > "${TASKCLUSTER_TMP_DIR}/ds/DeepSpeechConsole.exe"
nuget sources add -Name repo -Source $(cygpath -w "${TASKCLUSTER_TMP_DIR}/repo/")
cd "${TASKCLUSTER_TMP_DIR}"
nuget add $(cygpath -w "${TASKCLUSTER_TMP_DIR}/${nuget}") -source repo
cd "${TASKCLUSTER_TMP_DIR}/ds/"
nuget list -Source repo -Prerelease
nuget install ${PROJECT_NAME} -Source repo -Prerelease
ls -halR "${PROJECT_NAME}.${DS_VERSION}"
nuget install NAudio
cp NAudio*/lib/net35/NAudio.dll ${TASKCLUSTER_TMP_DIR}/ds/
cp ${PROJECT_NAME}.${DS_VERSION}/build/libdeepspeech.so ${TASKCLUSTER_TMP_DIR}/ds/
cp ${PROJECT_NAME}.${DS_VERSION}/lib/net46/DeepSpeechClient.dll ${TASKCLUSTER_TMP_DIR}/ds/
ls -hal ${TASKCLUSTER_TMP_DIR}/ds/
export PATH=${TASKCLUSTER_TMP_DIR}/ds/:$PATH
}
download_data()
{
${WGET} -P "${TASKCLUSTER_TMP_DIR}" "${model_source}"
${WGET} -P "${TASKCLUSTER_TMP_DIR}" "${model_source_mmap}"
cp ${DS_ROOT_TASK}/DeepSpeech/ds/data/smoke_test/*.wav ${TASKCLUSTER_TMP_DIR}/
cp ${DS_ROOT_TASK}/DeepSpeech/ds/data/alphabet.txt ${TASKCLUSTER_TMP_DIR}/alphabet.txt
cp ${DS_ROOT_TASK}/DeepSpeech/ds/data/smoke_test/vocab.pruned.lm ${TASKCLUSTER_TMP_DIR}/lm.binary
cp ${DS_ROOT_TASK}/DeepSpeech/ds/data/smoke_test/vocab.trie ${TASKCLUSTER_TMP_DIR}/trie
}
download_material()
{
target_dir=$1
download_native_client_files "${target_dir}"
download_data
ls -hal ${TASKCLUSTER_TMP_DIR}/${model_name} ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} ${TASKCLUSTER_TMP_DIR}/LDC93S1*.wav ${TASKCLUSTER_TMP_DIR}/alphabet.txt
}
download_benchmark_model()
{
target_dir=$1
mkdir -p ${target_dir} || true
${WGET} -P "${target_dir}" "${model_source}"
${WGET} -P "${target_dir}" "${BENCHMARK_MODEL_BIN}" && chmod +x ${target_dir}/*benchmark_model
}
install_pyenv()
{
if [ -z "${PYENV_ROOT}" ]; then
echo "No PYENV_ROOT set";
exit 1;
fi;
if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
mkdir -p "${PYENV_ROOT}/versions/"
return;
fi
if [ ! -e "${PYENV_ROOT}/bin/pyenv" ]; then
git clone --quiet https://github.com/pyenv/pyenv.git ${PYENV_ROOT}
pushd ${PYENV_ROOT}
git checkout --quiet 835707da2237b8f69560b2de27ae8ddd3e6cb1a4
popd
fi
eval "$(pyenv init -)"
}
install_pyenv_virtualenv()
{
local PYENV_VENV=$1
if [ -z "${PYENV_VENV}" ]; then
echo "No PYENV_VENV set";
exit 1;
fi;
if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
echo "No pyenv virtualenv support ; will install virtualenv locally from pip"
return
fi;
if [ ! -e "${PYENV_VENV}/bin/pyenv-virtualenv" ]; then
git clone --quiet https://github.com/pyenv/pyenv-virtualenv.git ${PYENV_VENV}
pushd ${PYENV_VENV}
git checkout --quiet 5419dc732066b035a28680475acd7b661c7c397d
popd
fi;
eval "$(pyenv virtualenv-init -)"
}
setup_pyenv_virtualenv()
{
local version=$1
local name=$2
if [ -z "${PYENV_ROOT}" ]; then
echo "No PYENV_ROOT set";
exit 1;
fi;
if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
echo "installing virtualenv"
PATH=${PYENV_ROOT}/versions/python.${version}/tools:${PYENV_ROOT}/versions/python.${version}/tools/Scripts:$PATH pip install virtualenv
echo "should setup virtualenv ${name} for ${version}"
mkdir ${PYENV_ROOT}/versions/python.${version}/envs
PATH=${PYENV_ROOT}/versions/python.${version}/tools:${PYENV_ROOT}/versions/python.${version}/tools/Scripts:$PATH virtualenv ${PYENV_ROOT}/versions/python.${version}/envs/${name}
else
pyenv virtualenv ${version} ${name}
fi
}
virtualenv_activate()
{
local version=$1
local name=$2
if [ -z "${PYENV_ROOT}" ]; then
echo "No PYENV_ROOT set";
exit 1;
fi;
if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
source ${PYENV_ROOT}/versions/python.${version}/envs/${name}/Scripts/activate
else
source ${PYENV_ROOT}/versions/${version}/envs/${name}/bin/activate
fi
}
virtualenv_deactivate()
{
local version=$1
local name=$2
if [ -z "${PYENV_ROOT}" ]; then
echo "No PYENV_ROOT set";
exit 1;
fi;
deactivate
if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
rm -fr ${PYENV_ROOT}/versions/python.${version}/
else
pyenv uninstall --force ${name}
pyenv uninstall --force ${version}
fi
}
pyenv_install()
{
local version=$1
if [ -z "${PYENV_ROOT}" ]; then
echo "No PYENV_ROOT set";
exit 1;
fi;
if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
PATH=$(cygpath ${ChocolateyInstall})/bin:$PATH nuget install python -Version ${version} -OutputDirectory ${PYENV_ROOT}/versions/
PATH=${PYENV_ROOT}/versions/python.${version}/tools/:$PATH python -m pip uninstall pip -y
PATH=${PYENV_ROOT}/versions/python.${version}/tools/:$PATH python -m ensurepip
pushd ${PYENV_ROOT}/versions/python.${version}/tools/Scripts/
ln -s pip3.exe pip.exe
popd
else
pyenv install ${version}
fi
}
maybe_install_xldd()
{
# -s required to avoid the noisy output like "Entering / Leaving directories"
toolchain=$(make -s -C ${DS_DSDIR}/native_client/ TARGET=${SYSTEM_TARGET} TFDIR=${DS_TFDIR} print-toolchain)
if [ ! -x "${toolchain}ldd" ]; then
cp "${DS_DSDIR}/native_client/xldd" "${toolchain}ldd" && chmod +x "${toolchain}ldd"
fi
}
# Checks whether we run a patched version of bazel.
# Patching is required to dump computeKey() parameters to .ckd files
# See bazel.patch
# Return 0 (success exit code) on patched version, 1 on release version
is_patched_bazel()
{
bazel_version=$(bazel version | grep 'Build label:' | cut -d':' -f2)
bazel shutdown
if [ -z "${bazel_version}" ]; then
return 0;
else
return 1;
fi;
}
verify_bazel_rebuild()
{
bazel_explain_file="$1"
if [ ! -f "${bazel_explain_file}" ]; then
echo "No such explain file: ${bazel_explain_file}"
exit 1
fi;
mkdir -p ${TASKCLUSTER_ARTIFACTS} || true
cp ${DS_ROOT_TASK}/DeepSpeech/tf/bazel*.log ${TASKCLUSTER_ARTIFACTS}/
spurious_rebuilds=$(grep 'Executing action' "${bazel_explain_file}" | grep 'Compiling' | grep -v -E 'no entry in the cache|unconditional execution is requested' | wc -l)
if [ "${spurious_rebuilds}" -ne 0 ]; then
echo "Bazel rebuilds some file it should not, please check."
if is_patched_bazel; then
mkdir -p ${DS_ROOT_TASK}/DeepSpeech/ckd/ds ${DS_ROOT_TASK}/DeepSpeech/ckd/tf
tar xf ${DS_ROOT_TASK}/DeepSpeech/bazel-ckd-tf.tar --strip-components=4 -C ${DS_ROOT_TASK}/DeepSpeech/ckd/ds/
tar xf ${DS_ROOT_TASK}/DeepSpeech/bazel-ckd-ds.tar --strip-components=4 -C ${DS_ROOT_TASK}/DeepSpeech/ckd/tf/
echo "Making a diff between CKD files"
mkdir -p ${TASKCLUSTER_ARTIFACTS}
diff -urNw ${DS_ROOT_TASK}/DeepSpeech/ckd/tf/ ${DS_ROOT_TASK}/DeepSpeech/ckd/ds/ | tee ${TASKCLUSTER_ARTIFACTS}/ckd.diff
rm -fr ${DS_ROOT_TASK}/DeepSpeech/ckd/tf/ ${DS_ROOT_TASK}/DeepSpeech/ckd/ds/
else
echo "Cannot get CKD information from release, please use patched Bazel"
fi;
exit 1
fi;
}
# Should be called from context where Python virtualenv is set
verify_ctcdecoder_url()
{
default_url=$(python util/taskcluster.py --decoder)
echo "${default_url}" | grep -F "deepspeech.native_client.v${DS_VERSION}"
rc_default_url=$?
tag_url=$(python util/taskcluster.py --decoder --branch 'v1.2.3')
echo "${tag_url}" | grep -F "deepspeech.native_client.v1.2.3"
rc_tag_url=$?
master_url=$(python util/taskcluster.py --decoder --branch 'master')
echo "${master_url}" | grep -F "deepspeech.native_client.master"
rc_master_url=$?
if [ ${rc_default_url} -eq 0 -a ${rc_tag_url} -eq 0 -a ${rc_master_url} -eq 0 ]; then
return 0
else
return 1
fi;
}
do_bazel_build()
{
cd ${DS_ROOT_TASK}/DeepSpeech/tf
eval "export ${BAZEL_ENV_FLAGS}"
if is_patched_bazel; then
find ${DS_ROOT_TASK}/DeepSpeech/tf/bazel-out/ -iname "*.ckd" | tar -cf ${DS_ROOT_TASK}/DeepSpeech/bazel-ckd-tf.tar -T -
fi;
bazel ${BAZEL_OUTPUT_USER_ROOT} build \
-s --explain bazel_monolithic.log --verbose_explanations --experimental_strict_action_env --config=monolithic -c opt ${BAZEL_BUILD_FLAGS} ${BAZEL_TARGETS}
if is_patched_bazel; then
find ${DS_ROOT_TASK}/DeepSpeech/tf/bazel-out/ -iname "*.ckd" | tar -cf ${DS_ROOT_TASK}/DeepSpeech/bazel-ckd-ds.tar -T -
fi;
verify_bazel_rebuild "${DS_ROOT_TASK}/DeepSpeech/tf/bazel_monolithic.log"
}
shutdown_bazel()
{
cd ${DS_ROOT_TASK}/DeepSpeech/tf
bazel ${BAZEL_OUTPUT_USER_ROOT} shutdown
}
do_bazel_shared_build()
{
cd ${DS_ROOT_TASK}/DeepSpeech/tf
eval "export ${BAZEL_ENV_FLAGS}"
bazel ${BAZEL_OUTPUT_USER_ROOT} build \
-s --explain bazel_shared.log --verbose_explanations --experimental_strict_action_env -c opt ${BAZEL_BUILD_FLAGS} ${BAZEL_TARGETS}
}
do_deepspeech_binary_build()
{
cd ${DS_DSDIR}
make -C native_client/ \
TARGET=${SYSTEM_TARGET} \
TFDIR=${DS_TFDIR} \
RASPBIAN=${SYSTEM_RASPBIAN} \
EXTRA_CFLAGS="${EXTRA_LOCAL_CFLAGS}" \
EXTRA_LDFLAGS="${EXTRA_LOCAL_LDFLAGS}" \
EXTRA_LIBS="${EXTRA_LOCAL_LIBS}" \
deepspeech${PLATFORM_EXE_SUFFIX}
}
do_deepspeech_ndk_build()
{
arch_abi=$1
cd ${DS_DSDIR}/native_client/
${ANDROID_NDK_HOME}/ndk-build \
APP_PLATFORM=android-21 \
APP_BUILD_SCRIPT=$(pwd)/Android.mk \
NDK_PROJECT_PATH=$(pwd) \
APP_STL=c++_shared \
TFDIR=${DS_TFDIR} \
TARGET_ARCH_ABI=${arch_abi}
}
do_deepspeech_netframework_build()
{
cd ${DS_DSDIR}/native_client/dotnet
# Setup dependencies
nuget install DeepSpeechConsole/packages.config -OutputDirectory packages/
MSBUILD="$(cygpath 'C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\MSBuild\15.0\Bin\MSBuild.exe')"
# We need MSYS2_ARG_CONV_EXCL='/' otherwise the '/' of CLI parameters gets mangled and disappears
# We build the .NET Client for .NET Framework v4.5,v4.6,v4.7
MSYS2_ARG_CONV_EXCL='/' "${MSBUILD}" \
DeepSpeechClient/DeepSpeechClient.csproj \
/p:Configuration=Release \
/p:Platform=x64 \
/p:TargetFrameworkVersion="v4.5" \
/p:OutputPath=bin/nuget/x64/v4.5
MSYS2_ARG_CONV_EXCL='/' "${MSBUILD}" \
DeepSpeechClient/DeepSpeechClient.csproj \
/p:Configuration=Release \
/p:Platform=x64 \
/p:TargetFrameworkVersion="v4.6" \
/p:OutputPath=bin/nuget/x64/v4.6
MSYS2_ARG_CONV_EXCL='/' "${MSBUILD}" \
DeepSpeechClient/DeepSpeechClient.csproj \
/p:Configuration=Release \
/p:Platform=x64 \
/p:TargetFrameworkVersion="v4.7" \
/p:OutputPath=bin/nuget/x64/v4.7
MSYS2_ARG_CONV_EXCL='/' "${MSBUILD}" \
DeepSpeechConsole/DeepSpeechConsole.csproj \
/p:Configuration=Release \
/p:Platform=x64
}
do_nuget_build()
{
PROJECT_NAME=$1
if [ -z "${PROJECT_NAME}" ]; then
exit "Please call with a valid PROJECT_NAME"
exit 1
fi;
cd ${DS_DSDIR}/native_client/dotnet
cp ${DS_TFDIR}/bazel-bin/native_client/libdeepspeech.so nupkg/build
# We copy the generated clients for .NET into the Nuget framework dirs
mkdir -p nupkg/lib/net45/
cp DeepSpeechClient/bin/nuget/x64/v4.5/DeepSpeechClient.dll nupkg/lib/net45/
mkdir -p nupkg/lib/net46/
cp DeepSpeechClient/bin/nuget/x64/v4.6/DeepSpeechClient.dll nupkg/lib/net46/
mkdir -p nupkg/lib/net47/
cp DeepSpeechClient/bin/nuget/x64/v4.7/DeepSpeechClient.dll nupkg/lib/net47/
PROJECT_VERSION=$(strip "${DS_VERSION}")
sed \
-e "s/\$NUPKG_ID/${PROJECT_NAME}/" \
-e "s/\$NUPKG_VERSION/${PROJECT_VERSION}/" \
nupkg/deepspeech.nuspec.in > nupkg/deepspeech.nuspec && cat nupkg/deepspeech.nuspec
nuget pack nupkg/deepspeech.nuspec
}
# Hack to extract Ubuntu's 16.04 libssl 1.0.2 packages and use them during the
# local build of Python.
#
# Avoid (risky) upgrade of base system, allowing to keep one task build that
# builds all the python packages
maybe_ssl102_py37()
{
pyver=$1
unset PY37_OPENSSL
unset PY37_LDPATH
unset PY37_SOURCE_PACKAGE
case "${pyver}" in
3.7*)
if [ "${OS}" = "Linux" ]; then
PY37_OPENSSL_DIR=${DS_ROOT_TASK}/ssl-xenial
if [ -d "${PY37_OPENSSL_DIR}" ]; then
rm -rf "${PY37_OPENSSL_DIR}"
fi
mkdir -p ${PY37_OPENSSL_DIR}
${WGET} -P ${TASKCLUSTER_TMP_DIR} \
http://${TASKCLUSTER_WORKER_GROUP}.ec2.archive.ubuntu.com/ubuntu/pool/main/o/openssl/libssl-dev_1.0.2g-1ubuntu4.15_amd64.deb \
http://${TASKCLUSTER_WORKER_GROUP}.ec2.archive.ubuntu.com/ubuntu/pool/main/o/openssl/libssl1.0.0_1.0.2g-1ubuntu4.15_amd64.deb
for deb in ${TASKCLUSTER_TMP_DIR}/libssl*.deb; do
dpkg -x ${deb} ${PY37_OPENSSL_DIR}
done;
# Python configure expects things to be under lib/
mv ${PY37_OPENSSL_DIR}/usr/include/x86_64-linux-gnu/openssl/opensslconf.h ${PY37_OPENSSL_DIR}/usr/include/openssl/
mv ${PY37_OPENSSL_DIR}/lib/x86_64-linux-gnu/lib* ${PY37_OPENSSL_DIR}/usr/lib/
mv ${PY37_OPENSSL_DIR}/usr/lib/x86_64-linux-gnu/* ${PY37_OPENSSL_DIR}/usr/lib/
ln -sfn libcrypto.so.1.0.0 ${PY37_OPENSSL_DIR}/usr/lib/libcrypto.so
ln -sfn libssl.so.1.0.0 ${PY37_OPENSSL_DIR}/usr/lib/libssl.so
export PY37_OPENSSL="--with-openssl=${PY37_OPENSSL_DIR}/usr"
export PY37_LDPATH="${PY37_OPENSSL_DIR}/usr/lib/"
fi;
export NUMPY_BUILD_VERSION="==1.14.5"
export NUMPY_DEP_VERSION=">=1.14.5"
;;
esac
}
maybe_numpy_min_version_winamd64()
{
local pyver=$1
if [ "${OS}" != "${TC_MSYS_VERSION}" ]; then
return;
fi
# We set >= and < to make sure we have no numpy incompatibilities
# otherwise, `from deepspeech.impl` throws with "illegal instruction"
case "${pyver}" in
3.5*)
export NUMPY_BUILD_VERSION="==1.11.0"
export NUMPY_DEP_VERSION=">=1.11.0,<1.12.0"
;;
3.6*)
export NUMPY_BUILD_VERSION="==1.12.0"
export NUMPY_DEP_VERSION=">=1.12.0,<1.14.5"
;;
3.7*)
export NUMPY_BUILD_VERSION="==1.14.5"
export NUMPY_DEP_VERSION=">=1.14.5,<1.16.0"
;;
esac
}
get_python_pkg_url()
{
local pyver_pkg=$1
local py_unicode_type=$2
local pkgname=$3
if [ -z "${pkgname}" ]; then
pkgname="deepspeech"
fi
local root=$4
if [ -z "${root}" ]; then
root="${DEEPSPEECH_ARTIFACTS_ROOT}"
fi
local platform=$(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; plat = "win" if plat == "windows" else plat; sys.stdout.write("%s_%s" % (plat, platform.machine().lower()));')
local whl_ds_version="$(python -c 'from pkg_resources import parse_version; print(parse_version("'${DS_VERSION}'"))')"
local deepspeech_pkg="${pkgname}-${whl_ds_version}-cp${pyver_pkg}-cp${pyver_pkg}${py_unicode_type}-${platform}.whl"
echo "${root}/${deepspeech_pkg}"
}
extract_python_versions()
{
# call extract_python_versions ${pyver_full} pyver pyver_pkg py_unicode_type pyconf
local _pyver_full=$1
if [ -z "${_pyver_full}" ]; then
echo "No python version given, aborting."
exit 1
fi;
local _pyver=$(echo "${_pyver_full}" | cut -d':' -f1)
# 2.7.x => 27
local _pyver_pkg=$(echo "${_pyver}" | cut -d'.' -f1,2 | tr -d '.')
local _py_unicode_type=$(echo "${_pyver_full}" | cut -d':' -f2)
if [ "${_py_unicode_type}" = "m" ]; then
local _pyconf="ucs2"
elif [ "${_py_unicode_type}" = "mu" ]; then
local _pyconf="ucs4"