Update and fix py-dgl+cuda (#36823)
* Update and fix py-dgl+cuda * [@spackbot] updating style on behalf of meyersbs * Update py-dgl
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@ -7,7 +7,7 @@
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from spack.package import *
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class PyDgl(CMakePackage, PythonExtension):
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class PyDgl(CMakePackage, PythonExtension, CudaPackage):
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"""Deep Graph Library (DGL).
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DGL is an easy-to-use, high performance and scalable Python package for
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@ -19,9 +19,10 @@ class PyDgl(CMakePackage, PythonExtension):
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homepage = "https://www.dgl.ai/"
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git = "https://github.com/dmlc/dgl.git"
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maintainers("adamjstewart")
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maintainers("adamjstewart", "meyersbs")
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version("master", branch="master", submodules=True)
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version("1.0.1", tag="1.0.1", submodules=True)
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version("0.4.3", tag="0.4.3", submodules=True)
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version("0.4.2", tag="0.4.2", submodules=True)
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@ -36,7 +37,6 @@ class PyDgl(CMakePackage, PythonExtension):
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)
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depends_on("cmake@3.5:", type="build")
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depends_on("cuda", when="+cuda")
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depends_on("llvm-openmp", when="%apple-clang +openmp")
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# Python dependencies
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@ -51,16 +51,33 @@ class PyDgl(CMakePackage, PythonExtension):
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depends_on("py-scipy@1.1.0:", type=("build", "run"))
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depends_on("py-networkx@2.1:", type=("build", "run"))
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depends_on("py-requests@2.19.0:", when="@0.4.3:", type=("build", "run"))
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depends_on("py-tqdm", when="@1.0.1:", type=("build", "run"))
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depends_on("py-psutil@5.8.0:", when="@1.0.1:", type=("build", "run"))
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# Backends
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# See https://github.com/dmlc/dgl#installation
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# See https://docs.dgl.ai/install/index.html#working-with-different-backends
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depends_on("py-torch@1.12.0:", when="@1.0.1: backend=pytorch", type="run")
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depends_on("py-torch@1.2.0:", when="@0.4.3: backend=pytorch", type="run")
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depends_on("py-torch@0.4.1:", when="backend=pytorch", type="run")
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depends_on("mxnet@1.5.1:", when="@0.4.3: backend=pytorch", type="run")
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depends_on("mxnet@1.6.0:", when="@1.0.1: backend=mxnet", type="run")
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depends_on("mxnet@1.5.1:", when="@0.4.3: backend=mxnet", type="run")
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depends_on("mxnet@1.5.0:", when="backend=mxnet", type="run")
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depends_on("py-tensorflow@2.3:", when="@1.0.1: backend=tensorflow", type="run")
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depends_on("py-tensorflow@2.1:", when="@0.4.3: backend=tensorflow", type="run")
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depends_on("py-tensorflow@2.0:", when="backend=tensorflow", type="run")
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depends_on("py-tfdlpack", when="backend=tensorflow", type="run")
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# Cuda
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# See https://github.com/dmlc/dgl/issues/3083
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depends_on("cuda@:10", when="@:0.4 +cuda", type=("build", "run"))
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# From error: "Your installed Caffe2 version uses cuDNN but I cannot find the
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# cuDNN libraries. Please set the proper cuDNN prefixes and / or install cuDNN."
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depends_on("cudnn", when="+cuda", type=("build", "run"))
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patch(
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"https://patch-diff.githubusercontent.com/raw/dmlc/dgl/pull/5434.patch?full_index=1",
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sha256="8c5f14784637a9bb3dd55e6104715d4a35b4e6594c99884aa19e67bc0544e91a",
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when="@1.0.1",
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)
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build_directory = "build"
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@ -70,6 +87,11 @@ def cmake_args(self):
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if "+cuda" in self.spec:
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args.append("-DUSE_CUDA=ON")
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# Prevent defaulting to old compute_ and sm_ despite defining cuda_arch
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args.append("-DCUDA_ARCH_NAME=Manual")
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cuda_arch_list = " ".join(list(self.spec.variants["cuda_arch"].value))
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args.append("-DCUDA_ARCH_BIN={0}".format(cuda_arch_list))
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args.append("_DCUDA_ARCH_PTX={0}".format(cuda_arch_list))
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else:
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args.append("-DUSE_CUDA=OFF")
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@ -101,8 +123,10 @@ def install(self, spec, prefix):
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args = std_pip_args + ["--prefix=" + prefix, "."]
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pip(*args)
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# Work around installation bug: https://github.com/dmlc/dgl/issues/1379
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install_tree(prefix.dgl, prefix.lib)
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# Older versions do not install correctly
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if self.spec.satisfies("@:0.4.3"):
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# Work around installation bug: https://github.com/dmlc/dgl/issues/1379
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install_tree(prefix.dgl, prefix.lib)
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def setup_run_environment(self, env):
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# https://docs.dgl.ai/install/backend.html
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