recipes: Add CuPy

recipes/cupy/meta.yaml

@@ -0,0 +1,59 @@
+{% set name = "cupy" %}
+{% set version = "6.4.0" %}
+{% set sha256 = "2a3cd1812f043ba9451b8ca4e5a4c31f9acc486c003f6970836e1a46c735c82e" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://github.com/cupy/cupy/archive/v{{ version }}.tar.gz
+  sha256: {{ sha256 }}
+
+build:
+  number: 0
+  skip: True  # [not (linux64 and cuda_compiler_version != "None")]
+  script: "{{ PYTHON }} -m pip install . -vv"
+  missing_dso_whitelist:
+    - "*/libcuda.*"
+
+requirements:
+  build:
+    - {{ compiler("c") }}
+    - {{ compiler("cxx") }}
+    - {{ compiler("cuda") }}
+
+  host:
+    - python
+    - pip
+    - setuptools
+    - cython >=0.24.0
+    - cudnn
+    - fastrlock >=0.3
+    - nccl
+
+  run:
+    - python
+    - setuptools
+    - cudnn
+    - fastrlock >=0.3
+    - numpy >=1.9.0
+    - six >=1.9.0
+
+test:
+  requires:
+    - pytest
+    - mock
+  source_files:
+    - tests
+
+about:
+  home: https://cupy.chainer.org/
+  license: MIT
+  license_family: MIT
+  license_file: LICENSE
+  summary: CuPy is an implementation of a NumPy-compatible multi-dimensional array on CUDA.
+
+extra:
+  recipe-maintainers:
+    - jakirkham

recipes/cupy/run_test.py

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+# Configure CuPy to use 1 GPU for testing
+import os
+os.environ["CUPY_TEST_GPU_LIMIT"] = "1"
+
+# Check for CuPy (without importing)
+import pkgutil
+pkgutil.find_loader("cupy")
+
+# Try to import CuPy
+import sys
+try:
+    import cupy
+except ImportError:
+    print("No GPU available. Exiting without running CuPy's tests.")
+    sys.exit(0)
+
+# Run CuPy's test suite
+import py
+py.test.cmdline.main(["tests/cupy_tests"])