Python torch.nn 模块，InstanceNorm3d() 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.nn.InstanceNorm3d()。

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

def test_InstanceNorm3d(self):
        b = random.randint(3, 5)
        c = random.randint(1, 5)
        w = random.randint(2, 5)
        h = random.randint(2, 5)
        d = random.randint(2, 5)

        input = torch.Tensor(b, c, h, w, d).uniform_()
        self._test_InstanceNorm(nn.InstanceNorm3d, input)

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

def test_InstanceNorm3d(self):
        b = random.randint(3, 5)
        c = random.randint(1, 5)
        w = random.randint(2, 5)
        h = random.randint(2, 5)
        d = random.randint(2, 5)

        input = torch.Tensor(b, c, h, w, d).uniform_()
        self._test_InstanceNorm(nn.InstanceNorm3d, input)

项目：pytorch 作者：ezyang | 项目源码 | 文件源码

def test_InstanceNorm3d(self):
        b = random.randint(3, 5)
        c = random.randint(1, 5)
        w = random.randint(2, 5)
        h = random.randint(2, 5)
        d = random.randint(2, 5)

        input = torch.Tensor(b, c, h, w, d).uniform_()
        self._test_InstanceNorm(nn.InstanceNorm3d, input)

项目：pytorch 作者：pytorch | 项目源码 | 文件源码

def test_InstanceNorm3d(self):
        b = random.randint(3, 5)
        c = random.randint(1, 5)
        w = random.randint(2, 5)
        h = random.randint(2, 5)
        d = random.randint(2, 5)

        input = torch.Tensor(b, c, h, w, d).uniform_()
        self._test_InstanceNorm(nn.InstanceNorm3d, input)

项目：torch2coreml 作者：prisma-ai | 项目源码 | 文件源码

def __init__(self, num_features, eps=1e-5, momentum=0.1, affine=False):
        super(Module, self).__init__()
        if momentum is None:
            momentum = 0.1
        self._instance_norm = InstanceNorm3d(
            num_features,
            eps=eps,
            momentum=momentum,
            affine=True
        )