Create a package for the redis ai module (#39096)

1 files changed, 124 insertions, 0 deletions

diff --git a/var/spack/repos/builtin/packages/redis-ai/package.py b/var/spack/repos/builtin/packages/redis-ai/package.py
new file mode 100644
index 0000000000..e54b10fb5e
--- /dev/null
+++ b/var/spack/repos/builtin/packages/redis-ai/package.py
@@ -0,0 +1,124 @@
+# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+import os
+
+from spack.package import *
+
+
+class RedisAi(MakefilePackage):
+    """A Redis module for serving tensors and executing deep learning graphs"""
+
+    homepage = "https://oss.redis.com/redisai/"
+    git = "https://github.com/RedisAI/RedisAI.git"
+
+    maintainers("MattToast")
+
+    version("1.2.7", tag="v1.2.7", submodules=True)
+
+    variant("torch", default=True, description="Build with the pytorch backend")
+    variant("cuda", default=False, description="Use CUDA")
+    variant("rocm", default=False, description="Use ROCm")
+
+    conflicts("+cuda+rocm")
+
+    # Required dependencies
+    depends_on("git", type=("build", "link"))
+    depends_on("git-lfs", type=("build", "link"))
+    depends_on("python@3:", type=("build", "link"))
+    depends_on("py-pip", type=("build", "link"))
+    depends_on("cmake@3.0:", type=("build", "link"))
+    depends_on("gmake", type=("build", "link"))
+
+    # GPU deps
+    depends_on("cuda@11.2:", type=("build", "link", "run"), when="+cuda")
+    depends_on("cudnn@8.1:", type=("build", "link", "run"), when="+cuda")
+
+    with when("+rocm"):
+        depends_on("hsa-rocr-dev")
+        depends_on("hip")
+        depends_on("rocprim")
+        depends_on("hipcub")
+        depends_on("rocthrust")
+        depends_on("roctracer-dev")
+        depends_on("rocrand")
+        depends_on("hipsparse")
+        depends_on("hipfft")
+        depends_on("rocfft")
+        depends_on("rocblas")
+        depends_on("miopen-hip")
+        depends_on("rocminfo")
+
+    # Optional Deps
+    with when("+torch"):
+        depends_on("py-torch@1.11.0:~cuda~rocm", type=("build", "link"), when="~cuda~rocm")
+        depends_on("py-torch@1.11.0:+cuda+cudnn~rocm", type=("build", "link"), when="+cuda")
+        depends_on("py-torch@1.11.0:~cuda+rocm", type=("build", "link"), when="+rocm")
+
+    build_directory = "opt"
+    parallel = False
+
+    @property
+    def use_gpu(self):
+        return self.spec.satisfies("+cuda") or self.spec.satisfies("+rocm")
+
+    @property
+    def with_torch(self):
+        return self.spec.satisfies("+torch")
+
+    @property
+    def torch_dir(self):
+        return (
+            join_path(self.spec["py-torch"].package.cmake_prefix_paths[0], "Torch")
+            if self.with_torch
+            else None
+        )
+
+    @property
+    def build_env(self):
+        build_env = {
+            "WITH_TF": "0",
+            "WITH_TFLITE": "0",
+            "WITH_PT": "0",
+            "WITH_ORT": "0",
+            "WITH_UNIT_TESTS": "0",
+            "GPU": "1" if self.use_gpu else "0",
+        }
+        if self.with_torch:
+            build_env["WITH_PT"] = "1"
+            build_env["Torch_DIR"] = self.torch_dir
+        return build_env
+
+    def edit(self, spec, prefix):
+        # resolve deps not provided through spack
+        Executable(join_path(".", "get_deps.sh"))(
+            extra_env={
+                "VERBOSE": "1",
+                # Need to grab the RAI specific version of dlpack
+                "WITH_DLPACK": "1",
+                # Do not get ml backends, they should be retrieved through spack
+                "WITH_TF": "0",
+                "WITH_TFLITE": "0",
+                "WITH_PT": "0",
+                "WITH_ORT": "0",
+                # Decide if we want GPU
+                "GPU": "1" if self.use_gpu else "0",
+            }
+        )
+        env.update(self.build_env)
+
+    def install(self, spec, prefix):
+        super(RedisAi, self).install(spec, prefix)
+        install_tree("install-*", prefix)
+
+    @run_after("install")
+    @on_package_attributes(with_torch=True)
+    def copy_libtorch(self):
+        torch_site_dir = os.path.dirname(os.path.dirname(os.path.dirname(self.torch_dir)))
+        torch_lib_dir = join_path(torch_site_dir, "lib")
+        install_tree(torch_lib_dir, self.prefix.backends.redisai_torch.lib)
+
+    def setup_run_environment(self, env):
+        env.set("REDIS_AI", self.prefix.join("redisai.so"))