Package rename: DNNL -> oneDNN (#15910)

3 files changed, 101 insertions, 101 deletions

diff --git a/var/spack/repos/builtin/packages/dnnl/package.py b/var/spack/repos/builtin/packages/dnnl/package.py
deleted file mode 100644
index 9b339a5a01..0000000000
--- a/var/spack/repos/builtin/packages/dnnl/package.py
+++ /dev/null
@@ -1,100 +0,0 @@
-# Copyright 2013-2020 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 sys
-
-
-class Dnnl(CMakePackage):
-    """Deep Neural Network Library (DNNL).
-
-    Formerly known as Intel MKL-DNN."""
-
-    homepage = "https://01.org/dnnl"
-    url      = "https://github.com/intel/mkl-dnn/archive/v1.3.tar.gz"
-
-    maintainers = ['adamjstewart']
-
-    version('1.3',    sha256='7396c20bd0c2dcf71cec84422bd6f9b91778938c10a7578424a7681fb822b077')
-    version('1.2.2',  sha256='a71ec1f27c30b8a176605e8a78444f1f12301a3c313b70ff93290926c140509c')
-    version('1.2.1',  sha256='c69544783c453ab3fbf14c7a5b9a512561267690c9fc3e7fc3470f04756e0ab3')
-    version('1.2',    sha256='30979a09753e8e35d942446c3778c9f0eba543acf2fb0282af8b9c89355d0ddf')
-    version('1.1.3',  sha256='0e9bcbc86cc215a84a5455a395ce540c68e255eaa586e37222fff622b9b17df7')
-    version('1.1.2',  sha256='284b20e0cab67025bb7d21317f805d6217ad77fb3a47ad84b3bacf37bde62da9')
-    version('1.1.1',  sha256='a31b08a89473bfe3bd6ed542503336d21b4177ebe4ccb9a97810808f634db6b6')
-    version('1.1',    sha256='c5aac67e5ed4d95fe9943f835df49bbe6d608507780787c64aa620bdbd2171ba')
-    version('1.0.4',  sha256='2a3ca90a8b690e65ddd0ccc95a09818e6da439cc854d014367645fcfd58a9690')
-    version('1.0.3',  sha256='e0de341bd0bbebde7637e69383899ba415ce67682ff2f0f3d5a0d268e1bea69b')
-    version('1.0.2',  sha256='3164eb2914e2160ac6ffd345781cf7554ce410830398cc6b2761e8668faf5ca8')
-    version('1.0.1',  sha256='91fb84601c18f8a5a87eccd7b63d61f03495f36c5c533bd7f59443e4f8bb2595')
-    version('1.0',    sha256='27fd9da9720c452852f1226581e7914efcf74e1ff898468fdcbe1813528831ba')
-    version('0.21.4', sha256='1e774138203b773b5af2eed9cc6f1973f13a7263a3b80127682246c5a6c5bc45')
-    version('0.21.3', sha256='31e78581e59d7e60d4becaba3834fc6a5bf2dccdae3e16b7f70d89ceab38423f')
-    version('0.21.2', sha256='ed56652dd237deb86ee9bf102c18de5f2625c059e5ab1d7512c8dc01e316b694')
-    version('0.21.1', sha256='766ecfa5ac68be8cf9eacd4c712935c0ed945e5e6fe51640f05ee735cff62a38')
-    version('0.21',   sha256='eb0aff133134898cf173d582a90e39b90ea9ea59544de7914208c2392b51a15f')
-    version('0.20.6', sha256='74675e93eef339ff3d9a9be95c15d0c7ad8736a5356c23428ab2e33dcdb8e3e1')
-    version('0.20.5', sha256='081d9f853c00fe0b597c8f00f2f3ff8d79c2a9cb95f292ff2c90557709763021')
-    version('0.20.4', sha256='b6422a000a6754334bdae673c25f84efd95e6d3cd016b752145b9391dc13e729')
-    version('0.20.3', sha256='a198a9bd3c584607e6a467f780beca92c8411cd656fcc8ec6fa5abe73d4af823')
-    version('0.20.2', sha256='1ae0e8a1a3df58deadc08ca0a01f8d3720600b26ca9e53685493e8e8250243b2')
-    version('0.20.1', sha256='26f720ed912843ba293e8a1e0822fe5318e93c529d80c87af1cf555d68e642d0')
-    version('0.20',   sha256='52e111fefbf5a38e36f7bae7646860f7cbc985eba0725768f3fee8cdb31a9977')
-    version('0.19',   sha256='ba39da6adb263df05c4ca2a120295641fc97be75b588922e4274cb628dbe1dcd')
-    version('0.18.1', sha256='fc7506701dfece9b03c0dc83d0cda9a44a5de17cdb54bc7e09168003f02dbb70')
-    version('0.11',   sha256='4cb4a85b05fe42aa527fd70a048caddcba9361f6d3d7bea9f33d74524e206d7d')
-    version('0.10',   sha256='59828764ae43f1151f77b8997012c52e0e757bc50af1196b86fce8934178c570')
-    version('0.9',    sha256='8606a80851c45b0076f7d4047fbf774ce13d6b6d857cb2edf95c7e1fd4bca1c7')
-
-    default_cpu_runtime = 'omp'
-    if sys.platform == 'darwin':
-        default_cpu_runtime = 'tbb'
-
-    variant('cpu_runtime', default=default_cpu_runtime,
-            description='CPU threading runtime to use',
-            values=('omp', 'tbb', 'seq'), multi=False)
-    variant('gpu_runtime', default='none',
-            description='Runtime to use for GPU engines',
-            values=('ocl', 'none'), multi=False)
-
-    # https://github.com/intel/mkl-dnn#requirements-for-building-from-source
-    depends_on('cmake@2.8.11:', type='build')
-    depends_on('tbb@2017:', when='cpu_runtime=tbb')
-    depends_on('llvm-openmp', when='%clang platform=darwin cpu_runtime=omp')
-    depends_on('opencl@1.2:', when='gpu_runtime=ocl')
-
-    def cmake_args(self):
-        args = [
-            '-DDNNL_CPU_RUNTIME={0}'.format(
-                self.spec.variants['cpu_runtime'].value.upper()),
-            '-DDNNL_GPU_RUNTIME={0}'.format(
-                self.spec.variants['gpu_runtime'].value.upper()),
-        ]
-
-        if self.run_tests:
-            args.append('-DDNNL_BUILD_TESTS=ON')
-        else:
-            args.append('-DDNNL_BUILD_TESTS=OFF')
-
-        # https://github.com/intel/mkl-dnn/issues/591
-        if self.spec.satisfies('%clang platform=darwin cpu_runtime=omp'):
-            args.extend([
-                '-DOpenMP_CXX_FLAGS={0}'.format(self.compiler.openmp_flag),
-                '-DOpenMP_C_FLAGS={0}'.format(self.compiler.openmp_flag),
-                '-DOpenMP_CXX_LIB_NAMES=libomp',
-                '-DOpenMP_C_LIB_NAMES=libomp',
-                '-DOpenMP_libomp_LIBRARY={0}'.format(
-                    self.spec['llvm-openmp'].libs.libraries[0]
-                ),
-                '-DCMAKE_SHARED_LINKER_FLAGS={0}'.format(
-                    self.spec['llvm-openmp'].libs.ld_flags
-                ),
-            ])
-        elif self.spec.satisfies('cpu_runtime=tbb'):
-            args.append('-DTBBROOT=' + self.spec['tbb'].prefix)
-
-        if self.spec.satisfies('gpu_runtime=ocl'):
-            args.append('-DOPENCLROOT=' + self.spec['opencl'].prefix)
-
-        return args
diff --git a/var/spack/repos/builtin/packages/onednn/package.py b/var/spack/repos/builtin/packages/onednn/package.py
new file mode 100644
index 0000000000..83397e66e2
--- /dev/null
+++ b/var/spack/repos/builtin/packages/onednn/package.py
@@ -0,0 +1,100 @@
+# Copyright 2013-2020 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 sys
+
+
+class Onednn(CMakePackage):
+    """oneAPI Deep Neural Network Library (oneDNN).
+
+    Formerly known as Intel MKL-DNN and DNNL."""
+
+    homepage = "https://01.org/dnnl"
+    url      = "https://github.com/oneapi-src/oneDNN/archive/v1.3.tar.gz"
+
+    maintainers = ['adamjstewart']
+
+    version('1.3',    sha256='b87c23b40a93ef5e479c81028db71c4847225b1a170f82af5e79f1cda826d3bf')
+    version('1.2.2',  sha256='251dd17643cff285f38b020fc4ac9245d8d596f3e2140b98982ffc32eae3943c')
+    version('1.2.1',  sha256='e7798b82a4c57a75c8cf48607007ab7d46c428d3837644da8004ea2fb37c9bd0')
+    version('1.2',    sha256='101aa3c3bd943de6597ff3230d2d61ecaff70cbe9a18db3ed7605a26d4140874')
+    version('1.1.3',  sha256='91e47e9c97bc7765fa4dd65dcca2c9ba8a71d4cfe72ee71ae6f6623a8e476dec')
+    version('1.1.2',  sha256='361545c9d03a451ee731e778df6dc42c26528130d16be4472c4a0ce164e8448f')
+    version('1.1.1',  sha256='22fd037f8a6316ae23cddec118b571459064a1fdbab054fe6401713db8803d1c')
+    version('1.1',    sha256='77533413aa6828aa724a1ef8ac0587c999e41fe36fae4f63cde5c4652ec11fd3')
+    version('1.0.4',  sha256='70b079c73120821d274f91a56f3a8b15dc6c514f4ac86a89f0612e5e2ac7ca8d')
+    version('1.0.3',  sha256='a3da591ffd7ccc269bbaef4894b409b09e80ea1bbd678f7fa0f3cf96f48e6b3e')
+    version('1.0.2',  sha256='9281715436adb7b9eef63fad419a581f397218824bc1271e557c134725c03916')
+    version('1.0.1',  sha256='8fee2324267811204c1f877a1dea70b23ab3d5f4c3ea0198d81f0921aa70d76e')
+    version('1.0',    sha256='7bfe11cac1d1f5dc1b60c1258e79d8cc84944d459e3758d50c1f7feba05bc6d7')
+    version('0.21.4', sha256='00ace1ce08cab3408bc83e6b9d55ccba661761e044c03175d58caccedddf93b3')
+    version('0.21.3', sha256='a0211aeb5e7dad50b97fa5dffc1a2fe2fe732572d4164e1ee8750a2ede43fbec')
+    version('0.21.2', sha256='5897bfd0e321a761de0c57ba1dfe0ebc753cc0d8a18bda2056af48022706a297')
+    version('0.21.1', sha256='4cabdb02863a874b2fe58b46489eda5cfefcbe6c63cb615f4d86bf00a6ccfffa')
+    version('0.21',   sha256='1d97635c8ef40dae3bc46e79769326216d0495a0262ab7cf0ea294ca7924f8e4')
+    version('0.20.6', sha256='f1de676fddeb94132c5ae480fb03a64f03deda10b09b3141373f2b2fe5cd031d')
+    version('0.20.5', sha256='47af2fa2987836794ad2a48cb289ac053f8c4babc274a8d943944576d00a73d0')
+    version('0.20.4', sha256='87947726af741e46314756329ee5a16f18ace17f342ec4489679c09e4ab18bbe')
+    version('0.20.3', sha256='0a0b60c8a4c56f50455241ea1cf9be84b3b7d255d76f9fae0143c1bd089fb1f2')
+    version('0.20.2', sha256='a70f7877481427df04f26d0dcd9c80bc9844b8e4dded4bfd763b6a4697a57f32')
+    version('0.20.1', sha256='a0fe8a9f5358a8e2fb56d0440516c398ed838b2eff2b5bab27606e376c10ca31')
+    version('0.20',   sha256='99828ff0157b31c0d45b9fd63cfe3fe02c4dc13633b8a1207fffddac56770baa')
+    version('0.19',   sha256='a7e64e07a5db1c42d72a23bea4acd04fd0c162e27af0b8b8f38ca48b6b5d9999')
+    version('0.18.1', sha256='a704e8a2011494a489ec01f42295fea577ea4108ac6159db47ee1ebcca369c26')
+    version('0.11',   sha256='2d8c1e39107f3fcfa93a5cc8ac8e94b1bbf0a0715b0c99e0d52ed18646346d58')
+    version('0.10',   sha256='e783d6d085e4dd930a990cf02a76401071f606c6f40e47eae4dc638b54146430')
+    version('0.9',    sha256='721ab6a14e05f9916645ebb410c3e97fae660d09a1c7df4da7958676504e572b')
+
+    default_cpu_runtime = 'omp'
+    if sys.platform == 'darwin':
+        default_cpu_runtime = 'tbb'
+
+    variant('cpu_runtime', default=default_cpu_runtime,
+            description='CPU threading runtime to use',
+            values=('omp', 'tbb', 'seq'), multi=False)
+    variant('gpu_runtime', default='none',
+            description='Runtime to use for GPU engines',
+            values=('ocl', 'none'), multi=False)
+
+    # https://github.com/oneapi-src/oneDNN#requirements-for-building-from-source
+    depends_on('cmake@2.8.11:', type='build')
+    depends_on('tbb@2017:', when='cpu_runtime=tbb')
+    depends_on('llvm-openmp', when='%clang platform=darwin cpu_runtime=omp')
+    depends_on('opencl@1.2:', when='gpu_runtime=ocl')
+
+    def cmake_args(self):
+        args = [
+            '-DDNNL_CPU_RUNTIME={0}'.format(
+                self.spec.variants['cpu_runtime'].value.upper()),
+            '-DDNNL_GPU_RUNTIME={0}'.format(
+                self.spec.variants['gpu_runtime'].value.upper()),
+        ]
+
+        if self.run_tests:
+            args.append('-DDNNL_BUILD_TESTS=ON')
+        else:
+            args.append('-DDNNL_BUILD_TESTS=OFF')
+
+        # https://github.com/oneapi-src/oneDNN/issues/591
+        if self.spec.satisfies('%clang platform=darwin cpu_runtime=omp'):
+            args.extend([
+                '-DOpenMP_CXX_FLAGS={0}'.format(self.compiler.openmp_flag),
+                '-DOpenMP_C_FLAGS={0}'.format(self.compiler.openmp_flag),
+                '-DOpenMP_CXX_LIB_NAMES=libomp',
+                '-DOpenMP_C_LIB_NAMES=libomp',
+                '-DOpenMP_libomp_LIBRARY={0}'.format(
+                    self.spec['llvm-openmp'].libs.libraries[0]
+                ),
+                '-DCMAKE_SHARED_LINKER_FLAGS={0}'.format(
+                    self.spec['llvm-openmp'].libs.ld_flags
+                ),
+            ])
+        elif self.spec.satisfies('cpu_runtime=tbb'):
+            args.append('-DTBBROOT=' + self.spec['tbb'].prefix)
+
+        if self.spec.satisfies('gpu_runtime=ocl'):
+            args.append('-DOPENCLROOT=' + self.spec['opencl'].prefix)
+
+        return args
diff --git a/var/spack/repos/builtin/packages/py-torch/package.py b/var/spack/repos/builtin/packages/py-torch/package.py
index a60486a64c..aa8f219d74 100644
--- a/var/spack/repos/builtin/packages/py-torch/package.py
+++ b/var/spack/repos/builtin/packages/py-torch/package.py
@@ -154,7 +154,7 @@ class PyTorch(PythonPackage, CudaPackage):
     # TODO: See if there is a way to use an external mkldnn installation.
     # Currently, only older versions of py-torch use an external mkldnn
     # library.
-    depends_on('dnnl', when='@0.4:0.4.1+mkldnn')
+    depends_on('onednn', when='@0.4:0.4.1+mkldnn')
     # TODO: add dependency: https://github.com/Maratyszcza/NNPACK
     # depends_on('nnpack', when='+nnpack')
     depends_on('qnnpack', when='+qnnpack')