Rebuild for the arches

.ci_support/linux_aarch64_python3.10.____cpython.yaml

@@ -0,0 +1,38 @@
+BUILD:
+- aarch64-conda_cos7-linux-gnu
+c_compiler:
+- gcc
+c_compiler_version:
+- '12'
+cdt_arch:
+- aarch64
+cdt_name:
+- cos7
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler_version:
+- None
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '12'
+docker_image:
+- quay.io/condaforge/linux-anvil-cos7-x86_64
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.10.* *_cpython
+pytorch:
+- '2.0'
+target_platform:
+- linux-aarch64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - cuda_compiler_version
+  - cdt_name
+  - docker_image

.ci_support/linux_aarch64_python3.11.____cpython.yaml

@@ -0,0 +1,38 @@
+BUILD:
+- aarch64-conda_cos7-linux-gnu
+c_compiler:
+- gcc
+c_compiler_version:
+- '12'
+cdt_arch:
+- aarch64
+cdt_name:
+- cos7
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler_version:
+- None
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '12'
+docker_image:
+- quay.io/condaforge/linux-anvil-cos7-x86_64
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.11.* *_cpython
+pytorch:
+- '2.0'
+target_platform:
+- linux-aarch64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - cuda_compiler_version
+  - cdt_name
+  - docker_image

.ci_support/linux_aarch64_python3.8.____cpython.yaml

@@ -0,0 +1,38 @@
+BUILD:
+- aarch64-conda_cos7-linux-gnu
+c_compiler:
+- gcc
+c_compiler_version:
+- '12'
+cdt_arch:
+- aarch64
+cdt_name:
+- cos7
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler_version:
+- None
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '12'
+docker_image:
+- quay.io/condaforge/linux-anvil-cos7-x86_64
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.8.* *_cpython
+pytorch:
+- '2.0'
+target_platform:
+- linux-aarch64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - cuda_compiler_version
+  - cdt_name
+  - docker_image

.ci_support/linux_aarch64_python3.9.____cpython.yaml

@@ -0,0 +1,38 @@
+BUILD:
+- aarch64-conda_cos7-linux-gnu
+c_compiler:
+- gcc
+c_compiler_version:
+- '12'
+cdt_arch:
+- aarch64
+cdt_name:
+- cos7
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler_version:
+- None
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '12'
+docker_image:
+- quay.io/condaforge/linux-anvil-cos7-x86_64
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.9.* *_cpython
+pytorch:
+- '2.0'
+target_platform:
+- linux-aarch64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - cuda_compiler_version
+  - cdt_name
+  - docker_image

conda-forge.yml

@@ -1,9 +1,10 @@
 build_platform:
   osx_arm64: osx_64
+  linux_aarch64: linux_64
 conda_build:
   pkg_format: '2'
 conda_forge_output_validation: true
 github:
   branch_name: main
   tooling_branch_name: main
-test: native_and_emulated
+test: native

recipe/0001-Monkeypatch-TORCH_LIB_PATH.patch

@@ -0,0 +1,28 @@
+From 46abe2bc5164d3fedebcb1fa8612b666d3a69f7f Mon Sep 17 00:00:00 2001
+From: Uwe Korn <[email protected]>
+Date: Fri, 23 Jun 2023 05:19:16 +0000
+Subject: [PATCH] Monkeypatch TORCH_LIB_PATH
+
+---
+ setup.py | 5 +++++
+ 1 file changed, 5 insertions(+)
+
+diff --git a/setup.py b/setup.py
+index 173d012..fe9a07e 100644
+--- a/setup.py
++++ b/setup.py
+@@ -10,6 +10,11 @@ from typing import List
+ import torch
+ from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
+
++import site
++import torch.utils.cpp_extension
++
++torch.utils.cpp_extension.TORCH_LIB_PATH = site.getsitepackages()[0] + '/torch/lib'
++
+ torch_ver = [int(x) for x in torch.__version__.split(".")[:2]]
+ assert torch_ver >= [1, 8], "Requires PyTorch >= 1.8"
+
+-- 
+2.25.1
+

recipe/meta.yaml

@@ -10,9 +10,11 @@ package:
 source:
   url: https://github.com/facebookresearch/detectron2/archive/v{{ version }}.tar.gz
   sha256: 9757fed05fa32acc2116ea038185f08409d5e854573e70f41909a358b70d1004
+  patches:
+    - 0001-Monkeypatch-TORCH_LIB_PATH.patch
 
 build:
-  number: 5
+  number: 6
   skip: true  # [win]
   # as of pytorch 1.13, conda-forge only builds for CUDA 11.2+, see
   # https://github.com/conda-forge/conda-forge-pinning-feedstock/issues/3491