Add QNNPACK package (#13549)

var/spack/repos/builtin/packages/py-torch/package.py

@@ -122,7 +122,6 @@ class PyTorch(PythonPackage):
     depends_on('mkl', when='+mkldnn')
     # TODO: add dependency: https://github.com/Maratyszcza/NNPACK
     depends_on('nnpack', when='+nnpack')
-    # TODO: add dependency: https://github.com/pytorch/QNNPACK
     depends_on('qnnpack', when='+qnnpack')
     depends_on('mpi', when='+distributed')
     depends_on('nccl', when='+nccl')
@@ -201,6 +200,8 @@ def enable_or_disable(variant, keyword='USE', var=None, newer=False):
 
         enable_or_disable('nnpack')
         enable_or_disable('qnnpack')
+        # Never use vendored copy of QNNPACK
+        env.set('USE_PYTORCH_QNNPACK=OFF')
         enable_or_disable('distributed')
 
         enable_or_disable('nccl')

var/spack/repos/builtin/packages/qnnpack/package.py

@@ -0,0 +1,83 @@
+# Copyright 2013-2019 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)
+
+from spack import *
+
+
+class Qnnpack(CMakePackage):
+    """QNNPACK (Quantized Neural Networks PACKage) is a mobile-optimized
+    library for low-precision high-performance neural network inference.
+    QNNPACK provides implementation of common neural network operators on
+    quantized 8-bit tensors."""
+
+    homepage = "https://github.com/pytorch/QNNPACK"
+    git      = "https://github.com/pytorch/QNNPACK.git"
+
+    version('master', branch='master')
+
+    depends_on('cmake@3.5:', type='build')
+
+    resource(
+        name='cpuinfo',
+        git='https://github.com/Maratyszcza/cpuinfo.git',
+        destination='deps',
+        placement='cpuinfo'
+    )
+    resource(
+        name='fp16',
+        git='https://github.com/Maratyszcza/FP16.git',
+        destination='deps',
+        placement='fp16'
+    )
+    resource(
+        name='fxdiv',
+        git='https://github.com/Maratyszcza/FXdiv.git',
+        destination='deps',
+        placement='fxdiv'
+    )
+    resource(
+        name='googlebenchmark',
+        url='https://github.com/google/benchmark/archive/v1.4.1.zip',
+        sha256='61ae07eb5d4a0b02753419eb17a82b7d322786bb36ab62bd3df331a4d47c00a7',
+        destination='deps',
+        placement='googlebenchmark',
+    )
+    resource(
+        name='googletest',
+        url='https://github.com/google/googletest/archive/release-1.8.0.zip',
+        sha256='f3ed3b58511efd272eb074a3a6d6fb79d7c2e6a0e374323d1e6bcbcc1ef141bf',
+        destination='deps',
+        placement='googletest',
+    )
+    resource(
+        name='psimd',
+        git='https://github.com/Maratyszcza/psimd.git',
+        destination='deps',
+        placement='psimd'
+    )
+    resource(
+        name='pthreadpool',
+        git='https://github.com/Maratyszcza/pthreadpool.git',
+        destination='deps',
+        placement='pthreadpool'
+    )
+
+    def cmake_args(self):
+        return [
+            '-DCPUINFO_SOURCE_DIR={0}'.format(
+                join_path(self.stage.source_path, 'deps/cpuinfo')),
+            '-DFP16_SOURCE_DIR={0}'.format(
+                join_path(self.stage.source_path, 'deps/fp16')),
+            '-DFXDIV_SOURCE_DIR={0}'.format(
+                join_path(self.stage.source_path, 'deps/fxdiv')),
+            '-DPSIMD_SOURCE_DIR={0}'.format(
+                join_path(self.stage.source_path, 'deps/psimd')),
+            '-DPTHREADPOOL_SOURCE_DIR={0}'.format(
+                join_path(self.stage.source_path, 'deps/pthreadpool')),
+            '-DGOOGLEBENCHMARK_SOURCE_DIR={0}'.format(
+                join_path(self.stage.source_path, 'deps/googlebenchmark')),
+            '-DGOOGLETEST_SOURCE_DIR={0}'.format(
+                join_path(self.stage.source_path, 'deps/googletest')),
+        ]