h.jit.ScriptModule.html#torch.jit.ScriptModule.code)
  * [ code_with_constants() (torch.jit.ScriptModule property) ](generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.code_with_constants)
  * [ collect_all() (in module torch.futures) ](futures.html#torch.futures.collect_all)
  * [ ColorJitter (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.ColorJitter)
  * [ combinations() (in module torch) ](generated/torch.combinations.html#torch.combinations)
  * [ compiled_with_cxx11_abi() (in module torch) ](generated/torch.compiled_with_cxx11_abi.html#torch.compiled_with_cxx11_abi)
  * [ complex_double() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.complex_double)
  * [ complex_float() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.complex_float)
  * [ component_distribution() (torch.distributions.mixture_same_family.MixtureSameFamily property) ](distributions.html#torch.distributions.mixture_same_family.MixtureSameFamily.component_distribution)
  * [ Compose (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.Compose)
  * [ ComposeTransform (class in torch.distributions.transforms) ](distributions.html#torch.distributions.transforms.ComposeTransform)
  * [ compute_mask() (torch.nn.utils.prune.BasePruningMethod method) ](generated/torch.nn.utils.prune.BasePruningMethod.html#torch.nn.utils.prune.BasePruningMethod.compute_mask)
    * [ (torch.nn.utils.prune.LnStructured method) ](generated/torch.nn.utils.prune.LnStructured.html#torch.nn.utils.prune.LnStructured.compute_mask)
    * [ (torch.nn.utils.prune.PruningContainer method) ](generated/torch.nn.utils.prune.PruningContainer.html#torch.nn.utils.prune.PruningContainer.compute_mask)
    * [ (torch.nn.utils.prune.RandomStructured method) ](generated/torch.nn.utils.prune.RandomStructured.html#torch.nn.utils.prune.RandomStructured.compute_mask)
  * [ ConcatDataset (class in torch.utils.data) ](data.html#torch.utils.data.ConcatDataset)
  * [ concentration0() (torch.distributions.beta.Beta property) ](distributions.html#torch.distributions.beta.Beta.concentration0)
  * [ concentration1() (torch.distributions.beta.Beta property) ](distributions.html#torch.distributions.beta.Beta.concentration1)
  * [ confirmed_by_owner() (torch.distributed.rpc.RRef method) ](rpc.html#torch.distributed.rpc.RRef.confirmed_by_owner)
  * [ conj() (in module torch) ](generated/torch.conj.html#torch.conj)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.conj)
  * [ constant_() (in module torch.nn.init) ](nn.init.html#torch.nn.init.constant_)
  * [ ConstantPad1d (class in torch.nn) ](generated/torch.nn.ConstantPad1d.html#torch.nn.ConstantPad1d)
  * [ ConstantPad2d (class in torch.nn) ](generated/torch.nn.ConstantPad2d.html#torch.nn.ConstantPad2d)
  * [ ConstantPad3d (class in torch.nn) ](generated/torch.nn.ConstantPad3d.html#torch.nn.ConstantPad3d)

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  * [ Constraint (class in torch.distributions.constraints) ](distributions.html#torch.distributions.constraints.Constraint)
  * [ ConstraintRegistry (class in torch.distributions.constraint_registry) ](distributions.html#torch.distributions.constraint_registry.ConstraintRegistry)
  * [ context (class in torch.distributed.autograd) ](rpc.html#torch.distributed.autograd.context)
  * [ contiguous() (torch.Tensor method) ](tensors.html#torch.Tensor.contiguous)
  * [ ContinuousBernoulli (class in torch.distributions.continuous_bernoulli) ](distributions.html#torch.distributions.continuous_bernoulli.ContinuousBernoulli)
  * [ Conv1d (class in torch.nn) ](generated/torch.nn.Conv1d.html#torch.nn.Conv1d)
    * [ (class in torch.nn.quantized) ](quantization.html#torch.nn.quantized.Conv1d)
  * [ conv1d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.conv1d)
    * [ (in module torch.nn.quantized.functional) ](quantization.html#torch.nn.quantized.functional.conv1d)
  * [ Conv2d (class in torch.nn) ](generated/torch.nn.Conv2d.html#t