From b04694b99edc954afc4a3d75af0912994e8828aa Mon Sep 17 00:00:00 2001
From: Nikita Shulga <nshulga@meta.com>
Date: Tue, 29 Nov 2022 15:34:46 -0800
Subject: [PATCH] Delete unmaintaned torchvision build scripts
All build logic has long moved to torchvision repo and now is executed
by reusable workflow from https://github.com/pytorch/test-infra/tree/main/.github/workflows
---
conda/build_vision.sh | 94 -----------------------
conda/torchvision/bld.bat | 24 ------
conda/torchvision/conda_build_config.yaml | 24 ------
conda/torchvision/meta.yaml | 53 -------------
4 files changed, 195 deletions(-)
delete mode 100755 conda/build_vision.sh
delete mode 100644 conda/torchvision/bld.bat
delete mode 100644 conda/torchvision/conda_build_config.yaml
delete mode 100644 conda/torchvision/meta.yaml
diff --git a/conda/build_vision.sh b/conda/build_vision.sh
deleted file mode 100755
index 3061e4740..000000000
--- a/conda/build_vision.sh
+++ /dev/null
@@ -1,94 +0,0 @@
-#!/usr/bin/env bash
-if [[ -x "/remote/anaconda_token" ]]; then
- . /remote/anaconda_token || true
-fi
-
-set -ex
-
-# Function to retry functions that sometimes timeout or have flaky failures
-retry () {
- $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
-}
-
-if [ "$#" -ne 1 ]; then
- echo "Illegal number of parameters. Pass cuda version"
- echo "CUDA version should be M.m with no dot, e.g. '8.0' or 'cpu'"
- exit 1
-fi
-desired_cuda="$1"
-
-export TORCHVISION_BUILD_VERSION="0.3.0"
-export TORCHVISION_BUILD_NUMBER=1
-
-SOURCE_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null && pwd )"
-
-if [[ -z "$WIN_PACKAGE_WORK_DIR" ]]; then
- WIN_PACKAGE_WORK_DIR="$(echo $(pwd -W) | tr '/' '\\')\\tmp_conda_$(date +%H%M%S)"
-fi
-
-if [[ "$OSTYPE" == "msys" ]]; then
- mkdir -p "$WIN_PACKAGE_WORK_DIR" || true
- vision_rootdir="$(realpath ${WIN_PACKAGE_WORK_DIR})/torchvision-src"
- git config --system core.longpaths true
-else
- vision_rootdir="$(pwd)/torchvision-src"
-fi
-
-if [[ ! -d "$vision_rootdir" ]]; then
- rm -rf "$vision_rootdir"
- git clone "https://github.com/pytorch/vision" "$vision_rootdir"
- pushd "$vision_rootdir"
- git checkout v$TORCHVISION_BUILD_VERSION
- popd
-fi
-
-cd "$SOURCE_DIR"
-
-if [[ "$OSTYPE" == "msys" ]]; then
- export tmp_conda="${WIN_PACKAGE_WORK_DIR}\\conda"
- export miniconda_exe="${WIN_PACKAGE_WORK_DIR}\\miniconda.exe"
- rm -rf "$tmp_conda"
- rm -f "$miniconda_exe"
- curl -sSk https://repo.continuum.io/miniconda/Miniconda3-latest-Windows-x86_64.exe -o "$miniconda_exe"
- "$SOURCE_DIR/install_conda.bat" && rm "$miniconda_exe"
- pushd $tmp_conda
- export PATH="$(pwd):$(pwd)/Library/usr/bin:$(pwd)/Library/bin:$(pwd)/Scripts:$(pwd)/bin:$PATH"
- popd
- # We have to skip 3.17 because of the following bug.
- # https://github.com/conda/conda-build/issues/3285
- retry conda install -yq conda-build
-fi
-
-ANACONDA_USER=pytorch
-conda config --set anaconda_upload no
-
-
-export TORCHVISION_PACKAGE_SUFFIX=""
-if [[ "$desired_cuda" == 'cpu' ]]; then
- export CONDA_CUDATOOLKIT_CONSTRAINT=""
- export CUDA_VERSION="None"
- if [[ "$OSTYPE" != "darwin"* ]]; then
- export TORCHVISION_PACKAGE_SUFFIX="-cpu"
- fi
-else
- . ./switch_cuda_version.sh $desired_cuda
- if [[ "$desired_cuda" == "10.0" ]]; then
- export CONDA_CUDATOOLKIT_CONSTRAINT=" - cudatoolkit >=10.0,<10.1 # [not osx]"
- elif [[ "$desired_cuda" == "9.0" ]]; then
- export CONDA_CUDATOOLKIT_CONSTRAINT=" - cudatoolkit >=9.0,<9.1 # [not osx]"
- else
- echo "unhandled desired_cuda: $desired_cuda"
- exit 1
- fi
-fi
-
-if [[ "$OSTYPE" == "msys" ]]; then
- time conda build -c $ANACONDA_USER --no-anaconda-upload vs2017
-else
- time conda build -c $ANACONDA_USER --no-anaconda-upload --python 2.7 torchvision
-fi
-time conda build -c $ANACONDA_USER --no-anaconda-upload --python 3.5 torchvision
-time conda build -c $ANACONDA_USER --no-anaconda-upload --python 3.6 torchvision
-time conda build -c $ANACONDA_USER --no-anaconda-upload --python 3.7 torchvision
-
-set +e
diff --git a/conda/torchvision/bld.bat b/conda/torchvision/bld.bat
deleted file mode 100644
index 14f6935fb..000000000
--- a/conda/torchvision/bld.bat
+++ /dev/null
@@ -1,24 +0,0 @@
-@echo on
-
-set TORCHVISION_BUILD_VERSION=%PKG_VERSION%
-set TORCHVISION_BUILD_NUMBER=%PKG_BUILDNUM%
-
-if not "%CUDA_VERSION%" == "None" (
- set build_with_cuda=1
- set desired_cuda=%CUDA_VERSION:~0,-1%.%CUDA_VERSION:~-1,1%
-) else (
- set build_with_cuda=
-)
-
-if "%build_with_cuda%" == "" goto cuda_flags_end
-
-set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v%desired_cuda%
-set CUDA_BIN_PATH=%CUDA_PATH%\bin
-set NVCC_FLAGS=-D__CUDA_NO_HALF_OPERATORS__ --expt-relaxed-constexpr
-if "%desired_cuda%" == "9.0" set NVCC_FLAGS=%NVCC_FLAGS% -gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_50,code=compute_50
-if "%desired_cuda%" == "10.0" set NVCC_FLAGS=%NVCC_FLAGS% -gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_50,code=compute_50
-
-:cuda_flags_end
-
-python setup.py install --single-version-externally-managed --record=record.txt
-if errorlevel 1 exit /b 1
diff --git a/conda/torchvision/conda_build_config.yaml b/conda/torchvision/conda_build_config.yaml
deleted file mode 100644
index 5188bb0eb..000000000
--- a/conda/torchvision/conda_build_config.yaml
+++ /dev/null
@@ -1,24 +0,0 @@
-blas_impl:
- - mkl # [x86_64]
-c_compiler:
- - vs2017 # [win]
-cxx_compiler:
- - vs2017 # [win]
-python:
- - 3.5
- - 3.6
-# This differs from target_platform in that it determines what subdir the compiler
-# will target, not what subdir the compiler package will be itself.
-# For example, we need a win-64 vs2008_win-32 package, so that we compile win-32
-# code on win-64 miniconda.
-cross_compiler_target_platform:
- - win-64 # [win]
-target_platform:
- - win-64 # [win]
-vc:
- - 14
-zip_keys:
- - # [win]
- - vc # [win]
- - c_compiler # [win]
- - cxx_compiler # [win]
diff --git a/conda/torchvision/meta.yaml b/conda/torchvision/meta.yaml
deleted file mode 100644
index caa439c7d..000000000
--- a/conda/torchvision/meta.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-package:
- name: torchvision{{ environ.get('TORCHVISION_PACKAGE_SUFFIX') }}
- version: "{{ environ.get('TORCHVISION_BUILD_VERSION') }}"
-
-source:
- git_rev: v{{ environ.get('TORCHVISION_BUILD_VERSION') }}
- git_url: https://github.com/pytorch/vision.git
-
-
-requirements:
- build:
- - {{ compiler('c') }} # [win]
-
- host:
- - python
- - setuptools
- - pytorch{{ environ.get('TORCHVISION_PACKAGE_SUFFIX') }} >=1.1.0
-{{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT') }}
-
- run:
- - python
- - pillow >=4.1.1
- - numpy >=1.11
- - pytorch{{ environ.get('TORCHVISION_PACKAGE_SUFFIX') }} >=1.1.0
- - six
-{{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT') }}
-
-build:
- number: {{ environ.get('TORCHVISION_BUILD_NUMBER') }}
- string: py{{py}}_cu{{ environ['CUDA_VERSION'] }}_{{environ.get('TORCHVISION_BUILD_NUMBER')}}
- script: python setup.py install --single-version-externally-managed --record=record.txt # [not win]
- script_env:
- - CUDA_VERSION
-
-test:
- imports:
- - torchvision
- - torchvision.datasets
- - torchvision.transforms
- source_files:
- - test
- requires:
- - pytest
- - scipy
- commands:
- pytest .
-
-
-about:
- home: https://github.com/pytorch/vision
- license: BSD
- license_file: LICENSE
- summary: 'image and video datasets and models for torch deep learning'