(in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.celu)
  * [ center_crop() (in module torchvision.transforms.functional) ](torchvision/transforms.html#torchvision.transforms.functional.center_crop)
  * [ CenterCrop (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.CenterCrop)
  * [ chain_matmul() (in module torch) ](generated/torch.chain_matmul.html#torch.chain_matmul)
  * [ ChainDataset (class in torch.utils.data) ](data.html#torch.utils.data.ChainDataset)
  * [ char() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.char)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.char)
  * [ check() (torch.distributions.constraints.Constraint method) ](distributions.html#torch.distributions.constraints.Constraint.check)
  * [ check_compiler_abi_compatibility() (in module torch.utils.cpp_extension) ](cpp_extension.html#torch.utils.cpp_extension.check_compiler_abi_compatibility)
  * [ checkpoint() (in module torch.utils.checkpoint) ](checkpoint.html#torch.utils.checkpoint.checkpoint)
  * [ checkpoint_sequential() (in module torch.utils.checkpoint) ](checkpoint.html#torch.utils.checkpoint.checkpoint_sequential)
  * [ Chi2 (class in torch.distributions.chi2) ](distributions.html#torch.distributions.chi2.Chi2)
  * [ children() (torch.jit.ScriptModule method) ](generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.children)
    * [ (torch.nn.Flatten method) ](generated/torch.nn.Flatten.html#torch.nn.Flatten.children)
    * [ (torch.nn.Module method) ](generated/torch.nn.Module.html#torch.nn.Module.children)
  * [ cholesky() (in module torch) ](generated/torch.cholesky.html#torch.cholesky)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cholesky)
  * [ cholesky_inverse() (in module torch) ](generated/torch.cholesky_inverse.html#torch.cholesky_inverse)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cholesky_inverse)
  * [ cholesky_solve() (in module torch) ](generated/torch.cholesky_solve.html#torch.cholesky_solve)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cholesky_solve)
  * [ chunk() (in module torch) ](generated/torch.chunk.html#torch.chunk)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.chunk)
  * [ CIFAR10 (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.CIFAR10)
  * [ CIFAR100 (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.CIFAR100)
  * [ Cityscapes (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.Cityscapes)
  * [ clamp() (in module torch) ](generated/torch.clamp.html#torch.clamp) , [ [1] ](generated/torch.clamp.html#torch.clamp) , [ [2] ](generated/torch.clamp.html#torch.clamp)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.clamp)
  * [ clamp_() (torch.Tensor method) ](tensors.html#torch.Tensor.clamp_)
  * [ clear() (torch.nn.ModuleDict method) ](generated/torch.nn.ModuleDict.html#torch.nn.ModuleDict.clear)
    * [ (torch.nn.ParameterDict method) ](generated/torch.nn.ParameterDict.html#torch.nn.ParameterDict.clear)
  * [ clip_grad_norm_() (in module torch.nn.utils) ](generated/torch.nn.utils.clip_grad_norm_.html#torch.nn.utils.clip_grad_norm_)
  * [ clip_grad_value_() (in module torch.nn.utils) ](generated/torch.nn.utils.clip_grad_value_.html#torch.nn.utils.clip_grad_value_)
  * [ clone() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.clone)
    * [ (torch.sparse.FloatTensor method) ](sparse.html#torch.sparse.FloatTensor.clone)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.clone)
  * [ coalesce() (torch.sparse.FloatTensor method) ](sparse.html#torch.sparse.FloatTensor.coalesce)
  * [ CocoCaptions (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.CocoCaptions)
  * [ CocoDetection (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.CocoDetection)
  * [ code() (torch.jit.ScriptModule property) ](generated/torc