disable cuda builds for the moment
@@ -13,28 +13,28 @@ build:
# no pytorch on windows; tests hang on osx
skip: true # [not linux]
script:
- - export BUILD_CUDA_EXTENSIONS=1 # [cuda_compiler_version != "None"]
+ # - export BUILD_CUDA_EXTENSIONS=1 # [cuda_compiler_version != "None"]
- {{ PYTHON }} -m pip install . -vv
requirements:
build:
- sysroot_linux-64 2.17 # [linux]
# compilers only needed for CUDA extensions
- - {{ compiler('cxx') }} # [cuda_compiler_version != "None"]
- - {{ compiler('cuda') }} # [cuda_compiler_version != "None"]
+ # - {{ compiler('cxx') }} # [cuda_compiler_version != "None"]
+ # - {{ compiler('cuda') }} # [cuda_compiler_version != "None"]
host:
- python
- pip
# host-dependency only needed for compiling CUDA extensions
- - pytorch >=1.8.0 # [cuda_compiler_version != "None"]
- - pytorch-gpu # [cuda_compiler_version != "None"]
+ # - pytorch >=1.8.0 # [cuda_compiler_version != "None"]
+ # - pytorch-gpu # [cuda_compiler_version != "None"]
run:
- python
# upstream uses >=1.6, but there are some issues under py3.9
# with the 1.7 builds from conda-forge
- pytorch >=1.8.0
- - pytorch-gpu # [cuda_compiler_version != "None"]
- - pytorch-cpu # [cuda_compiler_version == "None"]
+ # - pytorch-gpu # [cuda_compiler_version != "None"]
+ # - pytorch-cpu # [cuda_compiler_version == "None"]
test:
requires:
