QNNPACK: add py-torch submodule commits (#24329)
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@ -16,8 +16,13 @@ class Qnnpack(CMakePackage):
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git = "https://github.com/pytorch/QNNPACK.git"
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version('master', branch='master')
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version('2019-08-28', commit='7d2a4e9931a82adc3814275b6219a03e24e36b4c') # py-torch@1.3:1.9
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version('2018-12-27', commit='6c62fddc6d15602be27e9e4cbb9e985151d2fa82') # py-torch@1.2
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version('2018-12-04', commit='ef05e87cef6b8e719989ce875b5e1c9fdb304c05') # py-torch@1.0:1.1
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depends_on('cmake@3.5:', type='build')
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depends_on('ninja', type='build')
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depends_on('python', type='build')
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resource(
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name='cpuinfo',
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@ -64,20 +69,22 @@ class Qnnpack(CMakePackage):
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placement='pthreadpool'
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)
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generator = 'Ninja'
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def cmake_args(self):
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return [
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'-DCPUINFO_SOURCE_DIR={0}'.format(
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join_path(self.stage.source_path, 'deps/cpuinfo')),
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'-DFP16_SOURCE_DIR={0}'.format(
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join_path(self.stage.source_path, 'deps/fp16')),
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'-DFXDIV_SOURCE_DIR={0}'.format(
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join_path(self.stage.source_path, 'deps/fxdiv')),
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'-DPSIMD_SOURCE_DIR={0}'.format(
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join_path(self.stage.source_path, 'deps/psimd')),
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'-DPTHREADPOOL_SOURCE_DIR={0}'.format(
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join_path(self.stage.source_path, 'deps/pthreadpool')),
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'-DGOOGLEBENCHMARK_SOURCE_DIR={0}'.format(
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join_path(self.stage.source_path, 'deps/googlebenchmark')),
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'-DGOOGLETEST_SOURCE_DIR={0}'.format(
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join_path(self.stage.source_path, 'deps/googletest')),
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self.define('CPUINFO_SOURCE_DIR',
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join_path(self.stage.source_path, 'deps', 'cpuinfo')),
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self.define('FP16_SOURCE_DIR',
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join_path(self.stage.source_path, 'deps', 'fp16')),
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self.define('FXDIV_SOURCE_DIR',
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join_path(self.stage.source_path, 'deps', 'fxdiv')),
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self.define('PSIMD_SOURCE_DIR',
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join_path(self.stage.source_path, 'deps', 'psimd')),
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self.define('PTHREADPOOL_SOURCE_DIR',
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join_path(self.stage.source_path, 'deps', 'pthreadpool')),
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self.define('GOOGLEBENCHMARK_SOURCE_DIR',
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join_path(self.stage.source_path, 'deps', 'googlebenchmark')),
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self.define('GOOGLETEST_SOURCE_DIR',
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join_path(self.stage.source_path, 'deps', 'googletest')),
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]
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