Revert "join coverage (#2460)" (#2499)

This reverts commit 944ffba305.
This commit is contained in:
William Falcon 2020-07-04 10:29:50 -04:00 committed by GitHub
parent 944ffba305
commit 355918af8d
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11 changed files with 72 additions and 127 deletions

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@ -9,7 +9,7 @@ codecov:
strict_yaml_branch: "yaml-config"
require_ci_to_pass: yes
notify:
after_n_builds: 19
# after_n_builds: 2
wait_for_ci: yes
# https://docs.codecov.io/docs/codecov-yaml#section-expired-reports
max_report_age: off
@ -50,4 +50,4 @@ comment:
layout: header, diff
require_changes: false
behavior: default # update if exists else create new
after_n_builds: 19
# after_n_builds: 2

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@ -44,9 +44,7 @@ steps:
#- cd docs; make doctest; make coverage
- coverage report
# see: https://docs.codecov.io/docs/merging-reports
- codecov --token $CODECOV_TOKEN --flags=gpu,pytest --name="GPU-coverage" --env=linux --pr $DRONE_PULL_REQUEST --build $DRONE_BUILD_NUMBER --commit $DRONE_COMMIT
# --build $DRONE_BUILD_NUMBER --branch $DRONE_BRANCH --commit $DRONE_COMMIT --tag $DRONE_TAG --pr $DRONE_PULL_REQUEST
# - codecov --token $CODECOV_TOKEN --flags=gpu,pytest --build $DRONE_BUILD_NUMBER
- codecov --token $CODECOV_TOKEN # --pr $DRONE_PULL_REQUEST --build $DRONE_BUILD_NUMBER --branch $DRONE_BRANCH --commit $DRONE_COMMIT --tag $DRONE_TAG
- python tests/collect_env_details.py
trigger:

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@ -75,7 +75,8 @@ jobs:
- name: Test Package [only]
run: |
# NOTE: run coverage on tests does not propagare faler status for Win, https://github.com/nedbat/coveragepy/issues/1003
coverage run --source pytorch_lightning -m pytest pytorch_lightning -v --junitxml=junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml --ignore=pytorch_lightning/loggers/comet.py --ignore=pytorch_lightning/loggers/mlflow.py --ignore=pytorch_lightning/loggers/neptune.py --ignore=pytorch_lightning/loggers/test_tube.py --ignore=pytorch_lightning/loggers/wandb.py --ignore=pytorch_lightning/metrics/sklearns.py
python -m pytest pytorch_lightning -v --junitxml=junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml --ignore=pytorch_lightning/loggers/comet.py --ignore=pytorch_lightning/loggers/mlflow.py --ignore=pytorch_lightning/loggers/neptune.py --ignore=pytorch_lightning/loggers/test_tube.py --ignore=pytorch_lightning/loggers/wandb.py --ignore=pytorch_lightning/metrics/sklearns.py
# coverage report
- name: Upload pytest test results
uses: actions/upload-artifact@master
@ -83,21 +84,4 @@ jobs:
name: pytest-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}
path: junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml
# Use always() to always run this step to publish test results when there are test failures
if: always()
- name: Statistics
if: success()
run: |
coverage report
coverage xml
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1
if: always()
with:
token: ${{ secrets.CODECOV_TOKEN }}
file: coverage.xml
flags: cpu,pytest
env_vars: ${{ runner.os }},python${{ matrix.python-version }}
name: Base-coverage
fail_ci_if_error: true
if: always()

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@ -130,16 +130,4 @@ jobs:
- name: Statistics
if: success()
run: |
coverage report
coverage xml
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1
if: always()
with:
token: ${{ secrets.CODECOV_TOKEN }}
file: coverage.xml
flags: cpu,pytest
env_vars: ${{ runner.os }},python${{ matrix.python-version }}
name: CPU-coverage
fail_ci_if_error: true
coverage report

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@ -4,7 +4,6 @@ on:
push:
branches:
- master
# TODO: temporal disable TPU testing until we find way how to pass credentials to forked PRs
pull_request:
branches:
- master
@ -18,25 +17,20 @@ env:
jobs:
setup-build-publish-deploy:
name: tpu-testing-job
runs-on: ubuntu-20.04
# Timeout: https://stackoverflow.com/a/59076067/4521646
timeout-minutes: 50
runs-on: ubuntu-latest
steps:
- name: Install Go
uses: actions/setup-go@v2
with:
go-version: 1.14.x
- name: Set up Python 3.7
uses: actions/setup-python@v2
with:
python-version: 3.7
- name: Checkout Pytorch Lightning
uses: actions/checkout@v2
with:
repository: PyTorchLightning/pytorch-lightning
ref: ${{ github.event.pull_request.head.sha }}
path: main
- name: Checkout ml-testing-accelerators
uses: actions/checkout@v2
@ -60,7 +54,7 @@ jobs:
shell: bash
- name: Build and Push Docker Image
run: |
cd docker/tpu
cd main/docker/tpu
docker build --tag "$IMAGE:$GITHUB_RUN_ID" -f Dockerfile --build-arg "GITHUB_REF=$GITHUB_REF" --build-arg "TEST_IMAGE=1" .
docker push "$IMAGE:$GITHUB_RUN_ID"
shell: bash
@ -77,7 +71,7 @@ jobs:
- name: Deploy the job on the kubernetes cluster
run: |-
job_name=$(jsonnet -J ml-testing-accelerators/ docker/tpu/tpu_test_cases.jsonnet --ext-str image=$IMAGE --ext-str image-tag=$GITHUB_RUN_ID | kubectl create -f -) && \
job_name=$(jsonnet -J ml-testing-accelerators/ main/docker/tpu/tpu_test_cases.jsonnet --ext-str image=$IMAGE --ext-str image-tag=$GITHUB_RUN_ID | kubectl create -f -) && \
job_name=${job_name#job.batch/} && \
job_name=${job_name% created} && \
echo "Waiting on kubernetes job: $job_name in cluster: $GKE_CLUSTER" && \
@ -105,28 +99,15 @@ jobs:
exit $status_code
shell: bash
- name: Statistics
if: success()
run: |
mv ./xx01 coverage
# TODO: add human readable report
cat coverage
# sudo pip install pycobertura
# pycobertura show coverage.xml
# todo: to be used after enable merging reports from different CIs
#- name: Upload coverage to Codecov
# uses: codecov/codecov-action@v1
# if: always()
# with:
# token: ${{ secrets.CODECOV_TOKEN }}
# file: ./xx01
# flags: tpu,pytest
# # env_vars: OS,PYTHON
# # name: codecov-umbrella
# fail_ci_if_error: true
- name: Upload coverage results
uses: actions/upload-artifact@master
with:
name: coverage-TPU
path: coverage
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1
if: always()
with:
token: ${{ secrets.CODECOV_TOKEN }}
file: coverage
flags: tpu,pytest
env_vars: ${{ runner.os }},python
name: TPU-coverage
fail_ci_if_error: true

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@ -42,7 +42,7 @@
| :---: | :---: | :---: | :---: |
| Conda py3.7 [linux] | ![PyTorch & Conda](https://github.com/PyTorchLightning/pytorch-lightning/workflows/PyTorch%20&%20Conda/badge.svg) | ![PyTorch & Conda](https://github.com/PyTorchLightning/pytorch-lightning/workflows/PyTorch%20&%20Conda/badge.svg) | ![PyTorch & Conda](https://github.com/PyTorchLightning/pytorch-lightning/workflows/PyTorch%20&%20Conda/badge.svg) |
| Linux py3.7 [GPU] | - | - | [![Build Status](http://35.192.60.23/api/badges/PyTorchLightning/pytorch-lightning/status.svg)](http://35.192.60.23/PyTorchLightning/pytorch-lightning) |
| Linux py3.7 [TPU] | - | - | ![TPU tests](https://github.com/PyTorchLightning/pytorch-lightning/workflows/TPU%20tests/badge.svg) |
| Linux py3.6 [TPU] | - | - | ![TPU tests](https://github.com/PyTorchLightning/pytorch-lightning/workflows/TPU%20tests/badge.svg) |
| Linux py3.6 / py3.7 / py3.8 | [![CI testing](https://github.com/PyTorchLightning/pytorch-lightning/workflows/CI%20testing/badge.svg?event=push)](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | - | [![CI testing](https://github.com/PyTorchLightning/pytorch-lightning/workflows/CI%20testing/badge.svg?event=push)](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |
| OSX py3.6 / py3.7 | - | [![CI testing](https://github.com/PyTorchLightning/pytorch-lightning/workflows/CI%20testing/badge.svg?event=push)](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | [![CI testing](https://github.com/PyTorchLightning/pytorch-lightning/workflows/CI%20testing/badge.svg?event=push)](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |
| Windows py3.6 / py3.7 / py3.8 | [![CI testing](https://github.com/PyTorchLightning/pytorch-lightning/workflows/CI%20testing/badge.svg?event=push)](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |[![CI testing](https://github.com/PyTorchLightning/pytorch-lightning/workflows/CI%20testing/badge.svg?event=push)](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | - |

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@ -20,7 +20,7 @@ WORKDIR /home/containeruser
# install conda and python
RUN curl -o ~/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-4.7.12-Linux-x86_64.sh && \
RUN curl -o ~/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
chmod +x ~/miniconda.sh && \
~/miniconda.sh -b -p /home/containeruser/conda && \
rm ~/miniconda.sh && \
@ -31,8 +31,8 @@ RUN curl -o ~/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-4.7.12
ENV PATH /home/containeruser/conda/bin:$PATH
# install dependencies
RUN pip install torch==$PYTORCH_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \
git clone https://github.com/PyTorchLightning/pytorch-lightning.git --single-branch --branch $LIGHTNING_VERSION && \
RUN pip install torch==$PYTORCH_VERSION -f https://download.pytorch.org/whl/torch_stable.html
RUN git clone https://github.com/PyTorchLightning/pytorch-lightning.git --single-branch --branch $LIGHTNING_VERSION && \
pip install ./pytorch-lightning && \
pip install -r pytorch-lightning/requirements/extra.txt && \
rm -rf pytorch-lightning

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@ -12,10 +12,10 @@ or with specific arguments
```bash
git clone <git-repository>
docker image build \
-t pytorch-lightning:py38 \
-t pytorch-lightning:py36 \
-f docker/Dockerfile \
--build-arg PYTHON_VERSION=3.8 \
--build-arg PYTORCH_VERSION=1.4 \
--build-arg PYTHON_VERSION=3.6 \
--build-arg PYTORCH_VERSION=1.3 \
.
```

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@ -4,71 +4,66 @@ FROM google/cloud-sdk:slim
ARG GITHUB_REF=refs/heads/master
ARG TEST_IMAGE=0
# This Dockerfile installs pytorch/xla 3.7 wheels. There are also 3.6 wheels available; see below.
ENV PYTHON_VERSION=3.7
SHELL ["/bin/bash", "-c"]
# This Dockerfile installs pytorch/xla 3.7 wheels. There are also 3.6
# wheels available; see below.
ENV PYTHON_VERSION=3.6
RUN apt-get update && apt-get install -y --no-install-recommends \
python${PYTHON_VERSION} \
python${PYTHON_VERSION}-dev \
$( [ ${PYTHON_VERSION%%.*} -ge 3 ] && echo "python${PYTHON_VERSION%%.*}-distutils" ) \
build-essential \
cmake \
git \
curl \
wget \
ca-certificates \
libomp5 \
&& \
build-essential \
cmake \
git \
curl \
ca-certificates
# install python dependencies
wget https://bootstrap.pypa.io/get-pip.py --progress=bar:force:noscroll --no-check-certificate && \
python${PYTHON_VERSION} get-pip.py && \
rm get-pip.py && \
# Install conda and python.
# NOTE new Conda does not forward the exit status... https://github.com/conda/conda/issues/8385
RUN curl -o ~/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-4.7.12-Linux-x86_64.sh && \
chmod +x ~/miniconda.sh && \
~/miniconda.sh -b && \
rm ~/miniconda.sh
# Set the default python and install PIP packages
update-alternatives --install /usr/bin/python${PYTHON_VERSION%%.*} python${PYTHON_VERSION%%.*} /usr/bin/python${PYTHON_VERSION} 1 && \
update-alternatives --install /usr/bin/python python /usr/bin/python${PYTHON_VERSION} 1
ENV PATH=/root/miniconda3/bin:$PATH
RUN py_version=${PYTHON_VERSION/./} && \
RUN conda create -y --name container python=$PYTHON_VERSION
# Run the rest of commands within the new conda env.
# Use absolute path to appease Codefactor.
SHELL ["/root/miniconda3/bin/conda", "run", "-n", "container", "/bin/bash", "-c"]
RUN conda install -y python=$PYTHON_VERSION mkl
RUN pip uninstall -y torch && \
# Python 3.7 wheels are available. Replace cp36-cp36m with cp37-cp37m
gsutil cp "gs://tpu-pytorch/wheels/torch-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" . && \
gsutil cp "gs://tpu-pytorch/wheels/torch_xla-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" . && \
gsutil cp "gs://tpu-pytorch/wheels/torchvision-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" . && \
pip install "torch-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" && \
pip install "torch_xla-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" && \
pip install "torchvision-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" && \
rm "torch-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" && \
rm "torch_xla-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" && \
rm "torchvision-nightly-cp${py_version}-cp${py_version}m-linux_x86_64.whl" && \
pip install mkl
gsutil cp 'gs://tpu-pytorch/wheels/torch-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' . && \
gsutil cp 'gs://tpu-pytorch/wheels/torch_xla-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' . && \
gsutil cp 'gs://tpu-pytorch/wheels/torchvision-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' . && \
pip install 'torch-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' && \
pip install 'torch_xla-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' && \
pip install 'torchvision-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' && \
rm 'torch-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' && \
rm 'torch_xla-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' && \
rm 'torchvision-nightly-cp${PYTHON_VERSION/./}-cp${PYTHON_VERSION/./}m-linux_x86_64.whl' && \
apt-get install -y libomp5
ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/lib/"
RUN python -c "import torch; print(torch.__version__)"
ENV LD_LIBRARY_PATH=root/miniconda3/envs/container/lib
# Install pytorch-lightning at the current PR, plus dependencies.
RUN git clone https://github.com/PyTorchLightning/pytorch-lightning.git && \
cd pytorch-lightning && \
git fetch origin $GITHUB_REF:CI && \
git checkout CI && \
pip install --requirement ./requirements/base.txt
cd .. && \
pip install ./pytorch-lightning
# If using this image for tests, intall more dependencies and don"t delete
# If using this image for tests, intall more dependencies and don't delete
# the source code where the tests live.
RUN \
# TODO: use conda sources if possible
# drop Horovod
# python -c "fname = './pytorch-lightning/requirements/extra.txt' ; lines = [ln for ln in open(fname).readlines() if not ln.startswith('horovod')] ; open(fname, 'w').writelines(lines)" && \
# pip install -r pytorch-lightning/requirements/extra.txt ; && \
if [ $TEST_IMAGE -eq 1 ] ; then \
RUN if [ $TEST_IMAGE -eq 1 ] ; then \
pip install -r pytorch-lightning/requirements/test.txt ; \
else \
rm -rf pytorch-lightning ; \
fi
#RUN python -c "import pytorch_lightning as pl; print(pl.__version__)"
RUN conda init bash
RUN python -c "import pytorch_lightning as pl; print(pl.__version__)"
COPY docker-entrypoint.sh /usr/local/bin/
RUN chmod +x /usr/local/bin/docker-entrypoint.sh

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@ -1,7 +1,7 @@
#!/bin/bash
# source ~/.bashrc
source ~/.bashrc
echo "running docker-entrypoint.sh"
# conda activate container
conda activate container
echo $KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS
echo "printed TPU info"
export XRT_TPU_CONFIG="tpu_worker;0;${KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS:7}"

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@ -20,8 +20,7 @@ local tputests = base.BaseTest {
command: utils.scriptCommand(
|||
cd pytorch-lightning
coverage run --source=pytorch_lightning -m pytest tests/models/test_tpu.py -v
coverage run --source=pytorch_lightning -m pytest pytorch-lightning/tests/models/test_tpu.py -v
test_exit_code=$?
echo "\n||| END PYTEST LOGS |||\n"
coverage xml