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Run tests and build Python wheels for aarch64 architecture #3948

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merged 6 commits into from
Feb 16, 2021
Merged

Run tests and build Python wheels for aarch64 architecture #3948

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dada1a3
Update setup.sh
StrikerRUS Feb 12, 2021
3c0b6c4
Update test.sh
StrikerRUS Feb 12, 2021
fad0b69
Update test_dask.py
StrikerRUS Feb 12, 2021
a3c42bb
Update test_engine.py
StrikerRUS Feb 12, 2021
9c3c640
Update .vsts-ci.yml
StrikerRUS Feb 12, 2021
f4d1b0d
Merge branch 'master' into qemu_aarch64
StrikerRUS Feb 16, 2021
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7 changes: 6 additions & 1 deletion .ci/setup.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -95,7 +95,12 @@ else # Linux
cmake
fi
if [[ $SETUP_CONDA != "false" ]]; then
curl -sL -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
ARCH=$(uname -m)
if [[ $ARCH == "x86_64" ]]; then
curl -sL -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
else
curl -sL -o conda.sh https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-${ARCH}.sh
fi
fi
fi

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10 changes: 8 additions & 2 deletions .ci/test.sh
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Expand Up @@ -126,9 +126,15 @@ elif [[ $TASK == "bdist" ]]; then
cp dist/lightgbm-$LGB_VER-py3-none-macosx*.whl $BUILD_ARTIFACTSTAGINGDIRECTORY
fi
else
cd $BUILD_DIRECTORY/python-package && python setup.py bdist_wheel --plat-name=manylinux1_x86_64 --python-tag py3 || exit -1
ARCH=$(uname -m)
if [[ $ARCH == "x86_64" ]]; then
PLATFORM="manylinux1_x86_64"
else
PLATFORM="manylinux2014_$ARCH"
fi
cd $BUILD_DIRECTORY/python-package && python setup.py bdist_wheel --plat-name=$PLATFORM --python-tag py3 || exit -1
if [[ $PRODUCES_ARTIFACTS == "true" ]]; then
cp dist/lightgbm-$LGB_VER-py3-none-manylinux1_x86_64.whl $BUILD_ARTIFACTSTAGINGDIRECTORY
cp dist/lightgbm-$LGB_VER-py3-none-$PLATFORM.whl $BUILD_ARTIFACTSTAGINGDIRECTORY
fi
fi
pip install --user $BUILD_DIRECTORY/python-package/dist/*.whl || exit -1
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63 changes: 63 additions & 0 deletions .vsts-ci.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -138,6 +138,68 @@ jobs:
- bash: $(Build.SourcesDirectory)/.ci/test.sh
displayName: Test
###########################################
- job: QEMU_multiarch
###########################################
variables:
COMPILER: gcc
OS_NAME: 'linux'
PRODUCES_ARTIFACTS: 'true'
pool:
vmImage: ubuntu-latest
timeoutInMinutes: 120
strategy:
matrix:
bdist:
TASK: bdist
ARCH: aarch64
steps:
- script: |
sudo apt-get update
sudo apt-get install --no-install-recommends -y \
binfmt-support \
qemu \
qemu-user \
qemu-user-static
displayName: 'Install QEMU'
- script: |
docker run --rm --privileged multiarch/qemu-user-static --reset -p yes
displayName: 'Enable Docker multi-architecture support'
- script: |
export ROOT_DOCKER_FOLDER=/LightGBM
cat > docker.env <<EOF
AZURE=$AZURE
OS_NAME=$OS_NAME
COMPILER=$COMPILER
TASK=$TASK
METHOD=$METHOD
CONDA_ENV=$CONDA_ENV
PYTHON_VERSION=$PYTHON_VERSION
BUILD_DIRECTORY=$ROOT_DOCKER_FOLDER
LGB_VER=$(head -n 1 VERSION.txt)
PRODUCES_ARTIFACTS=$PRODUCES_ARTIFACTS
BUILD_ARTIFACTSTAGINGDIRECTORY=$BUILD_ARTIFACTSTAGINGDIRECTORY
EOF
cat > docker-script.sh <<EOF
export CONDA=\$HOME/miniconda
export PATH=\$CONDA/bin:\$PATH
$ROOT_DOCKER_FOLDER/.ci/setup.sh || exit -1
$ROOT_DOCKER_FOLDER/.ci/test.sh || exit -1
EOF
docker run \
--rm \
--env-file docker.env \
-v "$(Build.SourcesDirectory)":"$ROOT_DOCKER_FOLDER" \
-v "$(Build.ArtifactStagingDirectory)":"$(Build.ArtifactStagingDirectory)" \
"quay.io/pypa/manylinux2014_$ARCH" \
/bin/bash $ROOT_DOCKER_FOLDER/docker-script.sh
displayName: 'Setup and run tests'
- task: PublishBuildArtifacts@1
condition: and(succeeded(), in(variables['TASK'], 'bdist'), not(startsWith(variables['Build.SourceBranch'], 'refs/pull/')))
inputs:
pathtoPublish: '$(Build.ArtifactStagingDirectory)'
artifactName: PackageAssets
artifactType: container
###########################################
- job: MacOS
###########################################
variables:
Expand Down Expand Up @@ -219,6 +281,7 @@ jobs:
dependsOn:
- Linux
- Linux_latest
- QEMU_multiarch
- MacOS
- Windows
condition: and(succeeded(), not(startsWith(variables['Build.SourceBranch'], 'refs/pull/')))
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4 changes: 3 additions & 1 deletion tests/python_package_test/test_dask.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@
import pickle
import socket
from itertools import groupby
from platform import machine
from os import getenv
from sys import platform

Expand Down Expand Up @@ -42,7 +43,8 @@

pytestmark = [
pytest.mark.skipif(getenv('TASK', '') == 'mpi', reason='Fails to run with MPI interface'),
pytest.mark.skipif(getenv('TASK', '') == 'gpu', reason='Fails to run with GPU interface')
pytest.mark.skipif(getenv('TASK', '') == 'gpu', reason='Fails to run with GPU interface'),
pytest.mark.skipif(machine() != 'x86_64', reason='Fails to run with non-x86_64 architecture')
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In what way did the Dask tests fail?

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I don't remember, sorry! I marked Dask tests to be skipped at the very begging of enabling QEMU and cannot find logs for runs where they were enabled. I think we can investigate Dask support for aarch64 in a follow-up PR. WDYT?

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yep it's ok, can be a follow-up

]


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21 changes: 17 additions & 4 deletions tests/python_package_test/test_engine.py
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Expand Up @@ -4,6 +4,7 @@
import math
import os
import pickle
import platform
import psutil
import random

Expand Down Expand Up @@ -1044,15 +1045,21 @@ def test_contribs_sparse():
# convert data to dense and get back same contribs
contribs_dense = gbm.predict(X_test.toarray(), pred_contrib=True)
# validate the values are the same
np.testing.assert_allclose(contribs_csr.toarray(), contribs_dense)
if platform.machine() == 'aarch64':
np.testing.assert_allclose(contribs_csr.toarray(), contribs_dense, rtol=1, atol=1e-12)
else:
np.testing.assert_allclose(contribs_csr.toarray(), contribs_dense)
Comment on lines +1051 to +1054
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Sometimes contribs_sparse tests are failing, so need to relax assertion tolerance

>       np.testing.assert_allclose(contribs_csr_arr_re, contribs_dense)
E       AssertionError: 
E       Not equal to tolerance rtol=1e-07, atol=0
E       
E       Mismatched elements: 20 / 840 (2.38%)
E       Max absolute difference: 2.22044605e-16
E       Max relative difference: 1.
E        x: array([[ 0.000000e+00,  0.000000e+00,  0.000000e+00,  0.000000e+00,
E               -3.840704e-02, -1.261461e-01, -3.519505e-02,  1.271551e-04,
E                0.000000e+00, -2.690382e-04, -1.218832e-01,  1.221108e-04,...
E        y: array([[ 0.000000e+00,  0.000000e+00, -4.847735e-17,  0.000000e+00,
E               -3.840704e-02, -1.261461e-01, -3.519505e-02,  1.271551e-04,
E                0.000000e+00, -2.690382e-04, -1.218832e-01,  1.221108e-04,...

assert (np.linalg.norm(gbm.predict(X_test, raw_score=True)
- np.sum(contribs_dense, axis=1)) < 1e-4)
# validate using CSC matrix
X_test_csc = X_test.tocsc()
contribs_csc = gbm.predict(X_test_csc, pred_contrib=True)
assert isspmatrix_csc(contribs_csc)
# validate the values are the same
np.testing.assert_allclose(contribs_csc.toarray(), contribs_dense)
if platform.machine() == 'aarch64':
np.testing.assert_allclose(contribs_csc.toarray(), contribs_dense, rtol=1, atol=1e-12)
else:
np.testing.assert_allclose(contribs_csc.toarray(), contribs_dense)


def test_contribs_sparse_multiclass():
Expand Down Expand Up @@ -1084,7 +1091,10 @@ def test_contribs_sparse_multiclass():
contribs_csr_array = np.swapaxes(np.array([sparse_array.todense() for sparse_array in contribs_csr]), 0, 1)
contribs_csr_arr_re = contribs_csr_array.reshape((contribs_csr_array.shape[0],
contribs_csr_array.shape[1] * contribs_csr_array.shape[2]))
np.testing.assert_allclose(contribs_csr_arr_re, contribs_dense)
if platform.machine() == 'aarch64':
np.testing.assert_allclose(contribs_csr_arr_re, contribs_dense, rtol=1, atol=1e-12)
else:
np.testing.assert_allclose(contribs_csr_arr_re, contribs_dense)
contribs_dense_re = contribs_dense.reshape(contribs_csr_array.shape)
assert np.linalg.norm(gbm.predict(X_test, raw_score=True) - np.sum(contribs_dense_re, axis=2)) < 1e-4
# validate using CSC matrix
Expand All @@ -1097,7 +1107,10 @@ def test_contribs_sparse_multiclass():
contribs_csc_array = np.swapaxes(np.array([sparse_array.todense() for sparse_array in contribs_csc]), 0, 1)
contribs_csc_array = contribs_csc_array.reshape((contribs_csc_array.shape[0],
contribs_csc_array.shape[1] * contribs_csc_array.shape[2]))
np.testing.assert_allclose(contribs_csc_array, contribs_dense)
if platform.machine() == 'aarch64':
np.testing.assert_allclose(contribs_csc_array, contribs_dense, rtol=1, atol=1e-12)
else:
np.testing.assert_allclose(contribs_csc_array, contribs_dense)


@pytest.mark.skipif(psutil.virtual_memory().available / 1024 / 1024 / 1024 < 3, reason='not enough RAM')
Expand Down