Use linear_operator latest main for testing in GHA. (#1381)

Summary:
Ensure that things are compatible with the linear_operator bleeding edge.

Also cleans up some old todos in the workflow configs.

Pull Request resolved: #1381

Reviewed By: danielrjiang

Differential Revision: D39335499

Pulled By: Balandat

fbshipit-source-id: 80e931d0294619f97a0f7c249ce8f85609afcd68

Author: Balandat

.github/workflows/docs.yml

@@ -20,14 +20,13 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v2
       with:
-        python-version: 3.8
+        python-version: "3.8"
     - name: Install dependencies
       run: |
+        pip install git+https://github.com/cornellius-gp/linear_operator.git
         pip install git+https://github.com/cornellius-gp/gpytorch.git
         pip install .[dev]
-        # NOTE: nbconvert 6.4.4 is incompatible with jinja2 3.1.0.
-        # We can unpin this with a future release of nbconvert.
-        pip install beautifulsoup4 ipython nbconvert "jinja2==3.0.3"
+        pip install beautifulsoup4 ipython nbconvert jinja2
     - name: Validate Sphinx
       run: |
         python scripts/validate_sphinx.py -p "$(pwd)"

.github/workflows/lint.yml

@@ -20,7 +20,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v2
       with:
-        python-version: 3.8
+        python-version: "3.8"
     - name: Install dependencies
       run: |
         # pin dependencies to match Meta-internal versions
@@ -40,7 +40,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v2
       with:
-        python-version: 3.8
+        python-version: "3.8"
     - name: Install dependencies
       run: |
         pip install flake8 flake8-docstrings

.github/workflows/nightly.yml

@@ -25,6 +25,7 @@ jobs:
     - name: Install dependencies
       run: |
         pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
+        pip install git+https://github.com/cornellius-gp/linear_operator.git
         pip install git+https://github.com/cornellius-gp/gpytorch.git
         pip install .[test]
     - name: Unit tests and coverage
@@ -51,6 +52,7 @@ jobs:
     - name: Install dependencies
       run: |
         pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
+        pip install git+https://github.com/cornellius-gp/linear_operator.git
         pip install git+https://github.com/cornellius-gp/gpytorch.git
         pip install .[test]
         pip install --upgrade build setuptools setuptools_scm wheel
@@ -97,7 +99,8 @@ jobs:
         conda install -y scipy setuptools_scm conda-build conda-verify
         conda config --set anaconda_upload no
         conda install -y -c pytorch-nightly pytorch cpuonly
-        conda install -y -c conda-forge pyro-ppl>=1.8.0
+        conda install -y -c conda-forge pyro-ppl>=1.8.2
+        pip install git+https://github.com/cornellius-gp/linear_operator.git
         pip install git+https://github.com/cornellius-gp/gpytorch.git
     - name: Build and verify conda package
       shell: bash -l {0}
@@ -120,13 +123,11 @@ jobs:
       run: git fetch --prune --unshallow
     - name: Install dependencies
       run: |
+        pip install git+https://github.com/cornellius-gp/linear_operator.git
         pip install git+https://github.com/cornellius-gp/gpytorch.git
         pip install .[dev]
         pip install git+https://github.com/facebook/Ax.git
-        # NOTE: nbconvert 6.4.4 is incompatible with jinja2 3.1.0.
-        # We can unpin this with a future release of nbconvert.
-        pip install beautifulsoup4 ipython nbconvert "jinja2==3.0.3"
-    - name: Unit tests
+        pip install beautifulsoup4 ipython nbconvert jinja2
       run: |
         pytest -ra
     - name: Publish latest website

.github/workflows/reusable_tutorials.yml

@@ -25,14 +25,15 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v2
       with:
-        python-version: 3.8
+        python-version: "3.8"
     - name: Fetch all history for all tags and branches
       # We need to do this so setuptools_scm knows how to set the BoTorch version.
       run: git fetch --prune --unshallow
     - if: ${{ !inputs.use_stable_pytorch_gpytorch }}
       name: Install latest PyTorch & GPyTorch
       run: |
         pip install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
+        pip install git+https://github.com/cornellius-gp/linear_operator.git
         pip install git+https://github.com/cornellius-gp/gpytorch.git
     - if: ${{ inputs.use_stable_pytorch_gpytorch }}
       name: Install min required PyTorch & GPyTorch

.github/workflows/test.yml

@@ -27,6 +27,7 @@ jobs:
     - name: Install dependencies
       run: |
         pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
+        pip install git+https://github.com/cornellius-gp/linear_operator.git
         pip install git+https://github.com/cornellius-gp/gpytorch.git
         pip install .[test]
     - name: Unit tests and coverage
@@ -57,6 +58,7 @@ jobs:
       run: |
         conda install -y -c pytorch-nightly pytorch cpuonly
         conda install -y pip scipy sphinx pytest flake8
+        pip install git+https://github.com/cornellius-gp/linear_operator.git
         pip install git+https://github.com/cornellius-gp/gpytorch.git
         pip install .[test]
     - name: Unit tests

.github/workflows/test_stable.yml

@@ -48,7 +48,7 @@ jobs:
         conda install -y -c pytorch pytorch cpuonly
         conda install -y pip scipy pytest
         conda install -y -c gpytorch gpytorch
-        conda install -y -c conda-forge pyro-ppl>=1.8.0
+        conda install -y -c conda-forge pyro-ppl>=1.8.2
         pip install .[test]
     - name: Unit tests
       shell: bash -l {0}