Python torch 模块，FatalError() 实例源码

我们从Python开源项目中，提取了以下5个代码示例，用于说明如何使用torch.FatalError()。

项目：pytorch-dist 作者：apaszke | 项目源码 | 文件源码

def test_cpu(self):
        compile_extension(
                name='test_extensions.cpulib',
                header=test_dir + '/ffi/src/cpu/lib.h',
                sources=[
                    test_dir + '/ffi/src/cpu/lib1.c',
                    test_dir + '/ffi/src/cpu/lib2.c',
                ],
                verbose=False,
        )
        from test_extensions import cpulib
        tensor = torch.ones(2, 2).float()

        cpulib.good_func(tensor, 2, 1.5)
        self.assertEqual(tensor, torch.ones(2, 2) * 2 + 1.5)

        new_tensor = cpulib.new_tensor(4)
        self.assertEqual(new_tensor, torch.ones(4, 4) * 4)

        f = cpulib.int_to_float(5)
        self.assertIs(type(f), float)

        self.assertRaises(TypeError,
                lambda: cpulib.good_func(tensor.double(), 2, 1.5))
        self.assertRaises(torch.FatalError,
                lambda: cpulib.bad_func(tensor, 2, 1.5))

项目：pytorch 作者：tylergenter | 项目源码 | 文件源码

def test_cpu(self):
        compile_extension(
            name='test_extensions.cpulib',
            header=test_dir + '/ffi/src/cpu/lib.h',
            sources=[
                test_dir + '/ffi/src/cpu/lib1.c',
                test_dir + '/ffi/src/cpu/lib2.c',
            ],
            verbose=False,
        )
        from test_extensions import cpulib
        tensor = torch.ones(2, 2).float()

        cpulib.good_func(tensor, 2, 1.5)
        self.assertEqual(tensor, torch.ones(2, 2) * 2 + 1.5)

        new_tensor = cpulib.new_tensor(4)
        self.assertEqual(new_tensor, torch.ones(4, 4) * 4)

        f = cpulib.int_to_float(5)
        self.assertIs(type(f), float)

        self.assertRaises(TypeError,
                          lambda: cpulib.good_func(tensor.double(), 2, 1.5))
        self.assertRaises(torch.FatalError,
                          lambda: cpulib.bad_func(tensor, 2, 1.5))

项目：pytorch-coriander 作者：hughperkins | 项目源码 | 文件源码

def test_cpu(self):
        compile_extension(
            name='test_extensions.cpulib',
            header=test_dir + '/ffi/src/cpu/lib.h',
            sources=[
                test_dir + '/ffi/src/cpu/lib1.c',
                test_dir + '/ffi/src/cpu/lib2.c',
            ],
            verbose=False,
        )
        from test_extensions import cpulib
        tensor = torch.ones(2, 2).float()

        cpulib.good_func(tensor, 2, 1.5)
        self.assertEqual(tensor, torch.ones(2, 2) * 2 + 1.5)

        new_tensor = cpulib.new_tensor(4)
        self.assertEqual(new_tensor, torch.ones(4, 4) * 4)

        f = cpulib.int_to_float(5)
        self.assertIs(type(f), float)

        self.assertRaises(TypeError,
                          lambda: cpulib.good_func(tensor.double(), 2, 1.5))
        self.assertRaises(torch.FatalError,
                          lambda: cpulib.bad_func(tensor, 2, 1.5))

项目：pytorch 作者：ezyang | 项目源码 | 文件源码

def test_cpu(self):
        compile_extension(
            name='test_extensions.cpulib',
            header=test_dir + '/ffi/src/cpu/lib.h',
            sources=[
                test_dir + '/ffi/src/cpu/lib1.c',
                test_dir + '/ffi/src/cpu/lib2.c',
            ],
            verbose=False,
        )
        from test_extensions import cpulib
        tensor = torch.ones(2, 2).float()

        cpulib.good_func(tensor, 2, 1.5)
        self.assertEqual(tensor, torch.ones(2, 2) * 2 + 1.5)

        new_tensor = cpulib.new_tensor(4)
        self.assertEqual(new_tensor, torch.ones(4, 4) * 4)

        f = cpulib.int_to_float(5)
        self.assertIs(type(f), float)

        self.assertRaises(TypeError,
                          lambda: cpulib.good_func(tensor.double(), 2, 1.5))
        self.assertRaises(torch.FatalError,
                          lambda: cpulib.bad_func(tensor, 2, 1.5))

项目：pytorch 作者：pytorch | 项目源码 | 文件源码

def test_cpu(self):
        compile_extension(
            name='test_extensions.cpulib',
            header=test_dir + '/ffi/src/cpu/lib.h',
            sources=[
                test_dir + '/ffi/src/cpu/lib1.c',
                test_dir + '/ffi/src/cpu/lib2.c',
            ],
            verbose=False,
        )
        from test_extensions import cpulib
        tensor = torch.ones(2, 2).float()

        cpulib.good_func(tensor, 2, 1.5)
        self.assertEqual(tensor, torch.ones(2, 2) * 2 + 1.5)

        new_tensor = cpulib.new_tensor(4)
        self.assertEqual(new_tensor, torch.ones(4, 4) * 4)

        f = cpulib.int_to_float(5)
        self.assertIs(type(f), float)

        self.assertRaises(TypeError,
                          lambda: cpulib.good_func(tensor.double(), 2, 1.5))
        self.assertRaises(torch.FatalError,
                          lambda: cpulib.bad_func(tensor, 2, 1.5))