tim.lr_scheduler) ](optim.html#torch.optim.lr_scheduler.CosineAnnealingWarmRestarts)
  * [ CosineEmbeddingLoss (class in torch.nn) ](generated/torch.nn.CosineEmbeddingLoss.html#torch.nn.CosineEmbeddingLoss)
  * [ CosineSimilarity (class in torch.nn) ](generated/torch.nn.CosineSimilarity.html#torch.nn.CosineSimilarity)
  * [ count() (torch.nn.utils.rnn.PackedSequence method) ](generated/torch.nn.utils.rnn.PackedSequence.html#torch.nn.utils.rnn.PackedSequence.count)
  * [ covariance_matrix (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal attribute) ](distributions.html#torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.covariance_matrix)
    * [ (torch.distributions.multivariate_normal.MultivariateNormal attribute) ](distributions.html#torch.distributions.multivariate_normal.MultivariateNormal.covariance_matrix)
  * [ CppExtension() (in module torch.utils.cpp_extension) ](cpp_extension.html#torch.utils.cpp_extension.CppExtension)
  * [ cpu() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.cpu)
    * [ (torch.jit.ScriptModule method) ](generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.cpu)
    * [ (torch.nn.Flatten method) ](generated/torch.nn.Flatten.html#torch.nn.Flatten.cpu)
    * [ (torch.nn.Module method) ](generated/torch.nn.Module.html#torch.nn.Module.cpu)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cpu)
  * [ crop() (in module torchvision.transforms.functional) ](torchvision/transforms.html#torchvision.transforms.functional.crop)
  * [ cross() (in module torch) ](generated/torch.cross.html#torch.cross)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cross)
  * [ cross_entropy() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.cross_entropy)
  * [ CrossEntropyLoss (class in torch.nn) ](generated/torch.nn.CrossEntropyLoss.html#torch.nn.CrossEntropyLoss)
  * [ ctc_loss() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.ctc_loss)
  * [ CTCLoss (class in torch.nn) ](generated/torch.nn.CTCLoss.html#torch.nn.CTCLoss)
  * [ cuda() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.cuda)
    * [ (torch.jit.ScriptModule method) ](generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.cuda)
    * [ (torch.nn.Flatten method) ](generated/torch.nn.Flatten.html#torch.nn.Flatten.cuda)
    * [ (torch.nn.Module method) ](generated/torch.nn.Module.html#torch.nn.Module.cuda)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cuda)
  * [ CUDAExtension() (in module torch.utils.cpp_extension) ](cpp_extension.html#torch.utils.cpp_extension.CUDAExtension)
  * [ cummax() (in module torch) ](generated/torch.cummax.html#torch.cummax)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cummax)
  * [ cummin() (in module torch) ](generated/torch.cummin.html#torch.cummin)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cummin)
  * [ cumprod() (in module torch) ](generated/torch.cumprod.html#torch.cumprod)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cumprod)
  * [ cumsum() (in module torch) ](generated/torch.cumsum.html#torch.cumsum)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.cumsum)
  * [ current_blas_handle() (in module torch.cuda) ](cuda.html#torch.cuda.current_blas_handle)
  * [ current_device() (in module torch.cuda) ](cuda.html#torch.cuda.current_device)
  * [ current_stream() (in module torch.cuda) ](cuda.html#torch.cuda.current_stream)
  * [ custom_bwd() (in module torch.cuda.amp) ](amp.html#torch.cuda.amp.custom_bwd)
  * [ custom_from_mask() (in module torch.nn.utils.prune) ](generated/torch.nn.utils.prune.custom_from_mask.html#torch.nn.utils.prune.custom_from_mask)
  * [ custom_fwd() (in module torch.cuda.amp) ](amp.html#torch.cuda.amp.custom_fwd)
  * [ CustomFromMask (class in torch.nn.utils.prune) ](generated/torch.nn.utils.prune.CustomFromMask.html#torch.nn.utils.prune.CustomFromMask)
  * [ CyclicLR (class in torch.optim.lr_schedu