Remove support for anaconda (official package) (#2617)

Summary:
See #2613 for details. An anaconda package will still be a conda package available on the `c conda-forge`channel for those users who need it.

Pull Request resolved: #2617

Reviewed By: saitcakmak, esantorella

Differential Revision: D65603328

Pulled By: Balandat

fbshipit-source-id: 973086a49b51daf07718060d64893c44e3483dee

Author: Balandat

.conda/build_conda.sh

@@ -8,9 +8,9 @@ on:
 
 jobs:
 
-  tests-and-coverage-pip:
+  tests-and-coverage:
     name: Test & Coverage
-    uses: ./.github/workflows/reusable_test_pip.yml
+    uses: ./.github/workflows/reusable_test.yml
     with:
       use_latest_pytorch_gpytorch: false
     secrets: inherit
@@ -20,7 +20,7 @@ jobs:
     runs-on: ubuntu-latest
     permissions:
       id-token: write # This is required for PyPI OIDC authentication.
-    needs: tests-and-coverage-pip
+    needs: tests-and-coverage
     steps:
     - uses: actions/checkout@v4
     - name: Fetch all history for all tags and branches
@@ -44,43 +44,9 @@ jobs:
       with:
         verbose: true
 
-  package-deploy-conda:
-    name: Package conda and deploy to anaconda.org
-    runs-on: 8-core-ubuntu
-    needs: tests-and-coverage-pip
-    steps:
-    - uses: actions/checkout@v4
-    - uses: conda-incubator/setup-miniconda@v3
-      with:
-        miniconda-version: "latest"
-        activate-environment: test
-        python-version: "3.10"
-    - name: Fetch all history for all tags and branches
-      run: git fetch --prune --unshallow
-    - name: Install dependencies
-      shell: bash -l {0}
-      run: |
-        conda install -y setuptools_scm conda-build conda-verify anaconda-client
-        conda install -y scipy sphinx pytest flake8 multipledispatch
-        conda install -y -c pytorch pytorch cpuonly
-        conda install -y -c gpytorch gpytorch
-        conda install -y -c conda-forge pyro-ppl>=1.8.4
-        conda config --set anaconda_upload no
-    - name: Build and verify conda package
-      shell: bash -l {0}
-      run: |
-        ./scripts/build_and_verify_conda_package.sh
-    - name: Deploy to anaconda.org
-      shell: bash -l {0}
-      run: |
-        botorch_version=$(python -m setuptools_scm)
-        build_dir="$(pwd)/.conda/conda_build/noarch"
-        pkg_file="${build_dir}/botorch-${botorch_version}-0.tar.bz2"
-        anaconda -t ${{ secrets.ANACONDA_UPLOAD_TOKEN }} upload -u pytorch $pkg_file
-
   publish-versioned-website:
     name: Publish versioned website
-    needs: [package-deploy-pypi, package-deploy-conda]
+    needs: package-deploy-pypi
     uses: ./.github/workflows/reusable_website.yml
     with:
       publish_versioned_website: true

.conda/meta.yaml

@@ -10,7 +10,7 @@ on:
 jobs:
   tests-and-coverage-nightly:
     name: Test & Coverage
-    uses: ./.github/workflows/reusable_test_pip.yml
+    uses: ./.github/workflows/reusable_test.yml
     with:
       use_latest_pytorch_gpytorch: true
     secrets: inherit
@@ -60,39 +60,9 @@ jobs:
         skip-existing: true
         verbose: true
 
-  package-conda:
-    name: Test conda build
-    runs-on: 8-core-ubuntu
-    steps:
-    - uses: actions/checkout@v4
-    - uses: conda-incubator/setup-miniconda@v3
-      with:
-        miniconda-version: "latest"
-        activate-environment: test
-        python-version: "3.10"
-    - name: Fetch all history for all tags and branches
-      run: git fetch --prune --unshallow
-    - name: Install dependencies
-      shell: bash -l {0}
-      env:
-        ALLOW_LATEST_GPYTORCH_LINOP: true
-      # Don't need most deps for conda build, but need them for testing
-      # We do need setuptools_scm though to properly parse the version
-      run: |
-        conda install -y scipy multipledispatch 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>=1.8.4
-        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}
-      run: |
-        ./scripts/build_and_verify_conda_package.sh
-
   publish-latest-website:
     name: Publish latest website
-    needs: [tests-and-coverage-nightly, package-test-deploy-pypi, package-conda]
+    needs: [tests-and-coverage-nightly, package-test-deploy-pypi]
     uses: ./.github/workflows/reusable_website.yml
     with:
       publish_versioned_website: false

.github/workflows/deploy_on_release.yml

@@ -1,4 +1,4 @@
-name: Reusable Test Workflow w/ pip
+name: Reusable Test Workflow
 
 on:
   workflow_call:
@@ -13,8 +13,8 @@ on:
 
 
 jobs:
-  tests-and-coverage-pip:
-    name: Tests and coverage (pip, Python ${{ matrix.python-version }}, ${{ matrix.os }})
+  tests-and-coverage:
+    name: Tests and coverage (Python ${{ matrix.python-version }}, ${{ matrix.os }})
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false

.github/workflows/nightly.yml

@@ -9,43 +9,9 @@ on:
 
 jobs:
 
-  tests-and-coverage-pip:
-    name: Test & Coverage (pip)
-    uses: ./.github/workflows/reusable_test_pip.yml
+  tests-and-coverage:
+    name: Test & Coverage
+    uses: ./.github/workflows/reusable_test.yml
     with:
       use_latest_pytorch_gpytorch: true
     secrets: inherit
-
-  tests-conda:
-    name: Tests (conda, ${{ matrix.os }})
-    runs-on: ${{ matrix.os }}
-    strategy:
-      fail-fast: false
-      matrix:
-        os: ["ubuntu-latest", "macos-14", "windows-latest"]
-        python-version: ["3.10", "3.12"]
-    steps:
-    - uses: actions/checkout@v4
-    - uses: conda-incubator/setup-miniconda@v3
-      with:
-        miniconda-version: "latest"
-        activate-environment: test
-        python-version: ${{ matrix.python-version }}
-    - name: Install dependencies
-      shell: bash -l {0}
-      env:
-        ALLOW_LATEST_GPYTORCH_LINOP: true
-      run: |
-        conda install pytorch torchvision -c pytorch
-        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 -- BoTorch
-      shell: bash -l {0}
-      run: |
-        pytest -ra test/
-    - name: Unit tests -- BoTorch Community
-      shell: bash -l {0}
-      run: |
-        pytest -ra test_community/

.github/workflows/reusable_test_pip.yml renamed to .github/workflows/reusable_test.yml

@@ -5,48 +5,16 @@ on:
 
 jobs:
 
-  tests-and-coverage-pip-stable:
+  tests-and-coverage-stable:
     name: Test & Coverage
-    uses: ./.github/workflows/reusable_test_pip.yml
+    uses: ./.github/workflows/reusable_test.yml
     with:
       use_latest_pytorch_gpytorch: false
       upload_coverage: false
     secrets: inherit
 
-  tests-conda-stable:
-    name: Tests (conda, ${{ matrix.os }})
-    runs-on: ${{ matrix.os }}
-    strategy:
-      fail-fast: false
-      matrix:
-        os: ["ubuntu-latest", "macos-14", "windows-latest"]
-        python-version: ["3.10", "3.12"]
-    steps:
-    - uses: actions/checkout@v4
-    - uses: conda-incubator/setup-miniconda@v3
-      with:
-        miniconda-version: "latest"
-        activate-environment: test
-        python-version: ${{ matrix.python-version }}
-    - name: Install dependencies
-      shell: bash -l {0}
-      run: |
-        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>=1.8.4
-        pip install .[test]
-    - name: Unit tests and coverage -- BoTorch
-      shell: bash -l {0}
-      run: |
-        pytest -ra test/ --cov botorch/ --cov-report term-missing --cov-report xml:botorch_cov.xml
-    - name: Unit tests and coverage -- BoTorch Community
-      shell: bash -l {0}
-      run: |
-        pytest -ra test_community/ --cov botorch_community/ --cov-report term-missing --cov-report xml:botorch_community_cov.xml
-
-  tests-and-coverage-min-req-pip:
-    name: Tests and coverage min req. torch, gpytorch & linear_operator versions (pip, Python ${{ matrix.python-version }}, ${{ matrix.os }})
+  tests-and-coverage-min-req:
+    name: Tests and coverage min req. torch, gpytorch & linear_operator versions (Python ${{ matrix.python-version }}, ${{ matrix.os }})
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false

.github/workflows/test.yml

@@ -11,7 +11,6 @@
 [![Nightly](https://github.com/pytorch/botorch/actions/workflows/nightly.yml/badge.svg)](https://github.com/pytorch/botorch/actions?query=workflow%3ANightly)
 [![Codecov](https://img.shields.io/codecov/c/github/pytorch/botorch.svg)](https://codecov.io/github/pytorch/botorch)
 
-[![Conda](https://img.shields.io/conda/v/pytorch/botorch.svg)](https://anaconda.org/pytorch/botorch)
 [![PyPI](https://img.shields.io/pypi/v/botorch.svg)](https://pypi.org/project/botorch)
 [![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)
 
@@ -63,39 +62,26 @@ Optimization simply use Ax.
 - scipy
 - multiple-dispatch
 
-### Prerequisite only for MacOS users with Intel processors:
-Before installing BoTorch, we recommend first manually installing PyTorch, a required dependency of
-BoTorch. Installing it according to the [PyTorch installation instructions](https://pytorch.org/get-started/locally/)
-ensures that it is properly linked against MKL, a library that optimizes mathematical computation for Intel processors.
-This will result in up to an order-of-magnitude speed-up for Bayesian optimization, as at the moment,
-installing PyTorch from pip does not link against MKL.
-
-The PyTorch installation instructions currently recommend:
-1. Install [Anaconda](https://www.anaconda.com/distribution/#download-section). Note that there are different installers for Intel and M1 Macs.
-2. Install PyTorch following the [PyTorch installation instructions](https://pytorch.org/get-started/locally/).
-Currently, this suggests running `conda install pytorch torchvision -c pytorch`.
-
-If you want to customize your installation, please follow the [PyTorch installation instructions](https://pytorch.org/get-started/locally/) to build from source.
 
 ### Option 1: Installing the latest release
 
-The latest release of BoTorch is easily installed either via
-[Anaconda](https://www.anaconda.com/distribution/#download-section) (recommended) or pip.
+The latest release of BoTorch is easily installed via `pip`:
 
-**To install BoTorch from Anaconda**, run
 ```bash
-conda install botorch -c pytorch -c gpytorch -c conda-forge
+pip install botorch
 ```
-The above command installs BoTorch and any needed dependencies. ` -c pytorch -c gpytorch -c conda-forge` means that the most preferred source to install from is the PyTorch channel, the next most preferred is the GPyTorch channel,
-and the least preferred is conda-forge.
 
-**Alternatively, to install with `pip`**, do
+_Note_: Make sure the `pip` being used is actually the one from the newly created
+Conda environment. If you're using a Unix-based OS, you can use `which pip` to check.
+
+BoTorch [stopped publishing](https://github.com/pytorch/botorch/discussions/2613#discussion-7431533)
+an official Anaconda package to the `pytorch` channel after the 0.12 release. However,
+users can still use the package published to the `conda-forge` channel and install botorch via
+
 ```bash
-pip install botorch
+conda install botorch -c gpytorch -c conda-forge
 ```
 
-_Note_: Make sure the `pip` being used is actually the one from the newly created Conda environment. If you're using a Unix-based OS, you can use `which pip` to check.
-
 ### Option 2: Installing from latest main branch
 
 If you would like to try our bleeding edge features (and don't mind potentially

.github/workflows/test_stable.yml

@@ -13,19 +13,19 @@ Before jumping the gun, we recommend you start with the high-level
 
 #### Installation Requirements:
 
-BoTorch is easily installed via
-[Anaconda](https://www.anaconda.com/distribution/#download-section) (strongly recommended for OSX)
-or `pip`:
+BoTorch is easily installed via `pip` (recommended). It is also possible to
+use the (unofficial) [Anaconda](https://www.anaconda.com/distribution/#download-section)
+package from the `-c conda-forge` channel.
 
 <!--DOCUSAURUS_CODE_TABS-->
-<!--Conda-->
-```bash
-conda install botorch -c pytorch -c gpytorch -c conda-forge
-```
 <!--pip-->
 ```bash
 pip install botorch
 ```
+<!--Conda-->
+```bash
+conda install botorch -c gpytorch -c conda-forge
+```
 <!--END_DOCUSAURUS_CODE_TABS-->
 
 For more installation options and detailed instructions, please see the