prune Drone build (#5871)

.drone.jsonnet

@@ -1,63 +0,0 @@
-/*
-Copyright The PyTorch Lightning team.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-*/
-
-// https://github.com/drone/drone-jsonnet-config/blob/master/.drone.jsonnet
-
-local pipeline(name, image) = {
-  kind: "pipeline",
-  type: "docker",
-  name: name,
-  steps: [
-    {
-      name: "testing",
-      image: image,
-      environment: {
-        "CODECOV_TOKEN": {
-          from_secret: "codecov_token"
-        },
-        "MKL_THREADING_LAYER": "GNU",
-      },
-      commands: [
-        "python --version",
-        "pip --version",
-        "nvidia-smi",
-        "pip install -r ./requirements/devel.txt --upgrade-strategy only-if-needed -v --no-cache-dir",
-        "pip list",
-        "coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v -ra --color=yes --durations=25",
-        "python -m pytest benchmarks pl_examples -v -ra --color=yes --maxfail=2 --durations=0",
-        "coverage report",
-        "codecov --token $CODECOV_TOKEN --flags=gpu,pytest --name='GPU-coverage' --env=linux --build $DRONE_BUILD_NUMBER --commit $DRONE_COMMIT",
-        "python tests/collect_env_details.py"
-      ],
-    },
-  ],
-  trigger: {
-    branch: [
-      "master",
-      "release/*"
-    ],
-    event: [
-      "push",
-      "pull_request"
-    ]
-  },
-  depends_on: if name == "torch-GPU-nightly" then ["torch-GPU"]
-};
-
-[
-    pipeline("torch-GPU", "pytorchlightning/pytorch_lightning:base-cuda-py3.7-torch1.6"),
-    pipeline("torch-GPU-nightly", "pytorchlightning/pytorch_lightning:base-cuda-py3.7-torch1.7"),
-]

.drone.yml

@@ -37,11 +37,11 @@ steps:
     - pip install -r ./requirements/devel.txt --upgrade-strategy only-if-needed --no-cache-dir
     - pip install git+https://${AUTH_TOKEN}@github.com/PyTorchLightning/lightning-dtrun.git@v0.0.2 --no-cache-dir
     # when Image has defined CUDa version we can switch to this package spec "nvidia-dali-cuda${CUDA_VERSION%%.*}0"
-    - pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali-cuda100 --upgrade-strategy only-if-needed
+    #- pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali-cuda100 --upgrade-strategy only-if-needed
     - pip list
-    # todo: remove unzip install after new nigtly docker is created
-    - apt-get update -qq
-    - apt-get install -y --no-install-recommends unzip
+    # todo: remove unzip install after new nightly docker is created
+    #- apt-get update -qq
+    #- apt-get install -y --no-install-recommends unzip
     # get legacy checkpoints
     - wget https://pl-public-data.s3.amazonaws.com/legacy/checkpoints.zip -P legacy/
     - unzip -o legacy/checkpoints.zip -d legacy/