parameters: ()
return_statement: return {
          torch.typename,
          torch.is_tensor,
          torch.is_storage,
          torch.set_default_tensor_type,
          torch.set_rng_state,
          torch.get_rng_state,
          torch.manual_seed,
          torch.initial_seed,
          torch.seed,
          torch.save,
          torch.load,
          torch.set_printoptions,
          torch.fork,
          torch.get_default_dtype,
          torch.get_num_interop_threads,
          torch.get_num_threads,
          torch.init_num_threads,
          torch.import_ir_module,
          torch.import_ir_module_from_buffer,
          torch.is_anomaly_enabled,
          torch.is_grad_enabled,
          torch.merge_type_from_type_comment,
          torch.parse_ir,
          torch.parse_schema,
          torch.parse_type_comment,
          torch.set_anomaly_enabled,
          torch.set_flush_denormal,
          torch.set_num_interop_threads,
          torch.set_num_threads,
          torch.wait,
          torch.as_tensor,
          torch.from_numpy,
          torch.get_device,
          torch.tensor,
          torch.default_generator,
          torch.has_cuda,
          torch.has_cudnn,
          torch.has_lapack,
          torch.device,
          torch.dtype,
          torch.finfo,
          torch.has_mkl,
          torch.has_mkldnn,
          torch.has_openmp,
          torch.iinfo,
          torch.memory_format,
          torch.qscheme,
          torch.set_grad_enabled,
          torch.no_grad,
          torch.enable_grad,
          torch.inference_mode,
          torch.is_inference_mode_enabled,
          torch.layout,
          torch.align_tensors,
          torch.arange,
          torch.as_strided,
          torch.bartlett_window,
          torch.blackman_window,
          torch.broadcast_shapes,
          torch.can_cast,
          torch.cudnn_affine_grid_generator,
          torch.cudnn_batch_norm,
          torch.cudnn_convolution,
          torch.cudnn_convolution_transpose,
          torch.cudnn_convolution_relu,
          torch.cudnn_convolution_add_relu,
          torch.cudnn_grid_sampler,
          torch.cudnn_is_acceptable,
          torch.empty,
          torch.empty_strided,
          torch.empty_quantized,
          torch.eye,
          torch.fft.fftfreq,
          torch.fft.rfftfreq,
          torch.from_file,
          torch.full,
          torch.hamming_window,
          torch.hann_window,
          torch.kaiser_window,
          torch.linspace,
          torch.logspace,
          torch.mkldnn_adaptive_avg_pool2d,
          torch.mkldnn_convolution,
          torch.mkldnn_max_pool2d,
          torch.mkldnn_max_pool3d,
          torch.mkldnn_linear_backward_weights,
          torch.normal,
          torch.ones,
          torch.promote_types,
          torch.rand,
          torch.randn,
          torch.randint,
          torch.randperm,
          torch.range,
          torch.result_type,
          torch.scalar_tensor,
          torch.sparse_coo_tensor,
          torch.sparse_csr_tensor,
          torch.tril_indices,
          torch.triu_indices,
          torch.vander,
          torch.zeros,
          torch._jit_internal.boolean_dispatch,
          torch.nn.functional.assert_int_or_pair,
          torch.nn.functional.upsample,
          torch.nn.functional.upsample_bilinear,
          torch.nn.functional.upsample_nearest,
          torch.nn.functional.has_torch_function,
          torch.nn.functional.has_torch_function_unary,
          torch.nn.functional.has_torch_function_variadic,
          torch.nn.functional.handle_torch_function,
          torch.nn.functional.sigmoid,
          torch.nn.functional.hardsigmoid,
          torch.nn.functional.tanh,
          has_torch_function,
          handle_torch_function,
          torch.set_autocast_enabled,
          torch.is_autocast_enabled,
          torch.clear_autocast_cache,
          torch.set_autocast_cpu_enabled,
          torch.is_autocast_cpu_enabled,
          torch.set_autocast_cpu_dtype,
          torch.get_autocast_cpu_dtype,
          torch.get_autocast_gpu_dtype,
          torch.set_autocast_gpu_dtype,
          torch.autocast_increment_nesting,
          torch.autocast_decrement_nesting,
          torch.is_autocast_cache_enabled,
          torch.set_autocast_cache_enabled,
          torch.nn.functional.hardswish,
          torch.is_vulkan_available,
          torch.are_deterministic_algorithms_enabled,
          torch.use_deterministic_algorithms,
          torch.is_deterministic_algorithms_warn_only_enabled,
          torch.set_deterministic_debug_mode,
          torch.get_deterministic_debug_mode,
          torch.unify_type_list,
          torch.is_warn_always_enabled,
          torch.set_warn_always,
          torch.vitals_enabled,
          torch.set_vital,
          torch.read_vitals,
          torch.frombuffer,
          torch.asarray,
          Tensor.__delitem__,
          Tensor.__dir__,
          Tensor.__getattribute__,
          Tensor.__init__,
          Tensor.__iter__,
          Tensor.__init_subclass__,
          Tensor.__delattr__,
          Tensor.__setattr__,
          Tensor.__torch_function__,
          Tensor.__new__,
          Tensor.__class__,
          Tensor.__subclasshook__,
          Tensor.as_subclass,
          Tensor.reinforce,
          Tensor.new,
          Tensor.new_tensor,
          Tensor.new_empty,
          Tensor.new_empty_strided,
          Tensor.new_zeros,
          Tensor.new_ones,
          Tensor.new_full,
          Tensor._make_subclass,
          Tensor.stride,
          Tensor.unflatten,
          Tensor.to_sparse_coo,
          Tensor.to_sparse_csr,
          Tensor._reduce_ex_internal,
          Tensor._fix_weakref,
          Tensor._make_wrapper_subclass,
          Tensor._python_dispatch.__get__,
          Tensor._conj,
          Tensor._conj_physical,
          Tensor._neg_view,
          Tensor._is_zerotensor,
      }
docstring: Return public functions that cannot be overridden by ``__torch_function__``.
  
      Returns
      -------
      Set[Callable]
          A tuple of functions that are publicly available in the torch API but cannot
          be overridden with ``__torch_function__``. Mostly this is because none of the
          arguments of these functions are tensors or tensor-likes.
  
      Examples
      --------
      >>> torch.Tensor.as_subclass in torch.overrides.get_ignored_functions()
      True
      >>> torch.add in torch.overrides.get_ignored_functions()
      False
docstring_summary: Return public functions that cannot be overridden by ``__torch_function__``.
docstring_tokens: Return public functions that cannot be overridden by __torch_function__ .
function: def get_ignored_functions() -> Set[Callable]:
      """
      Return public functions that cannot be overridden by ``__torch_function__``.
  
      Returns
      -------
      Set[Callable]
          A tuple of functions that are publicly available in the torch API but cannot
          be overridden with ``__torch_function__``. Mostly this is because none of the
          arguments of these functions are tensors or tensor-likes.
  
      Examples
      --------
      >>> torch.Tensor.as_subclass in torch.overrides.get_ignored_functions()
      True
      >>> torch.add in torch.overrides.get_ignored_functions()
      False
      """
      Tensor = torch.Tensor
      return {
          torch.typename,
          torch.is_tensor,
          torch.is_storage,
          torch.set_default_tensor_type,
          torch.set_rng_state,
          torch.get_rng_state,
          torch.manual_seed,
          torch.initial_seed,
          torch.seed,
          torch.save,
          torch.load,
          torch.set_printoptions,
          torch.fork,
          torch.get_default_dtype,
          torch.get_num_interop_threads,
          torch.get_num_threads,
          torch.init_num_threads,
          torch.import_ir_module,
          torch.import_ir_module_from_buffer,
          torch.is_anomaly_enabled,
          torch.is_grad_enabled,
          torch.merge_type_from_type_comment,
          torch.parse_ir,
          torch.parse_schema,
          torch.parse_type_comment,
          torch.set_anomaly_enabled,
          torch.set_flush_denormal,
          torch.set_num_interop_threads,
          torch.set_num_threads,
          torch.wait,
          torch.as_tensor,
          torch.from_numpy,
          torch.get_device,
          torch.tensor,
          torch.default_generator,
          torch.has_cuda,
          torch.has_cudnn,
          torch.has_lapack,
          torch.device,
          torch.dtype,
          torch.finfo,
          torch.has_mkl,
          torch.has_mkldnn,
          torch.has_openmp,
          torch.iinfo,
          torch.memory_format,
          torch.qscheme,
          torch.set_grad_enabled,
          torch.no_grad,
          torch.enable_grad,
          torch.inference_mode,
          torch.is_inference_mode_enabled,
          torch.layout,
          torch.align_tensors,
          torch.arange,
          torch.as_strided,
          torch.bartlett_window,
          torch.blackman_window,
          torch.broadcast_shapes,
          torch.can_cast,
          torch.cudnn_affine_grid_generator,
          torch.cudnn_batch_norm,
          torch.cudnn_convolution,
          torch.cudnn_convolution_transpose,
          torch.cudnn_convolution_relu,
          torch.cudnn_convolution_add_relu,
          torch.cudnn_grid_sampler,
          torch.cudnn_is_acceptable,
          torch.empty,
          torch.empty_strided,
          torch.empty_quantized,
          torch.eye,
          torch.fft.fftfreq,
          torch.fft.rfftfreq,
          torch.from_file,
          torch.full,
          torch.hamming_window,
          torch.hann_window,
          torch.kaiser_window,
          torch.linspace,
          torch.logspace,
          torch.mkldnn_adaptive_avg_pool2d,
          torch.mkldnn_convolution,
          torch.mkldnn_max_pool2d,
          torch.mkldnn_max_pool3d,
          torch.mkldnn_linear_backward_weights,
          torch.normal,
          torch.ones,
          torch.promote_types,
          torch.rand,
          torch.randn,
          torch.randint,
          torch.randperm,
          torch.range,
          torch.result_type,
          torch.scalar_tensor,
          torch.sparse_coo_tensor,
          torch.sparse_csr_tensor,
          torch.tril_indices,
          torch.triu_indices,
          torch.vander,
          torch.zeros,
          torch._jit_internal.boolean_dispatch,
          torch.nn.functional.assert_int_or_pair,
          torch.nn.functional.upsample,
          torch.nn.functional.upsample_bilinear,
          torch.nn.functional.upsample_nearest,
          torch.nn.functional.has_torch_function,
          torch.nn.functional.has_torch_function_unary,
          torch.nn.functional.has_torch_function_variadic,
          torch.nn.functional.handle_torch_function,
          torch.nn.functional.sigmoid,
          torch.nn.functional.hardsigmoid,
          torch.nn.functional.tanh,
          has_torch_function,
          handle_torch_function,
          torch.set_autocast_enabled,
          torch.is_autocast_enabled,
          torch.clear_autocast_cache,
          torch.set_autocast_cpu_enabled,
          torch.is_autocast_cpu_enabled,
          torch.set_autocast_cpu_dtype,
          torch.get_autocast_cpu_dtype,
          torch.get_autocast_gpu_dtype,
          torch.set_autocast_gpu_dtype,
          torch.autocast_increment_nesting,
          torch.autocast_decrement_nesting,
          torch.is_autocast_cache_enabled,
          torch.set_autocast_cache_enabled,
          torch.nn.functional.hardswish,
          torch.is_vulkan_available,
          torch.are_deterministic_algorithms_enabled,
          torch.use_deterministic_algorithms,
          torch.is_deterministic_algorithms_warn_only_enabled,
          torch.set_deterministic_debug_mode,
          torch.get_deterministic_debug_mode,
          torch.unify_type_list,
          torch.is_warn_always_enabled,
          torch.set_warn_always,
          torch.vitals_enabled,
          torch.set_vital,
          torch.read_vitals,
          torch.frombuffer,
          torch.asarray,
          Tensor.__delitem__,
          Tensor.__dir__,
          Tensor.__getattribute__,
          Tensor.__init__,
          Tensor.__iter__,
          Tensor.__init_subclass__,
          Tensor.__delattr__,
          Tensor.__setattr__,
          Tensor.__torch_function__,
          Tensor.__new__,
          Tensor.__class__,
          Tensor.__subclasshook__,
          Tensor.as_subclass,
          Tensor.reinforce,
          Tensor.new,
          Tensor.new_tensor,
          Tensor.new_empty,
          Tensor.new_empty_strided,
          Tensor.new_zeros,
          Tensor.new_ones,
          Tensor.new_full,
          Tensor._make_subclass,
          Tensor.stride,
          Tensor.unflatten,
          Tensor.to_sparse_coo,
          Tensor.to_sparse_csr,
          Tensor._reduce_ex_internal,
          Tensor._fix_weakref,
          Tensor._make_wrapper_subclass,
          Tensor._python_dispatch.__get__,
          Tensor._conj,
          Tensor._conj_physical,
          Tensor._neg_view,
          Tensor._is_zerotensor,
      }
function_tokens: def get_ignored_functions ( ) -> Set [ Callable ] : Tensor = torch . Tensor return { torch . typename , torch . is_tensor , torch . is_storage , torch . set_default_tensor_type , torch . set_rng_state , torch . get_rng_state , torch . manual_seed , torch . initial_seed , torch . seed , torch . save , torch . load , torch . set_printoptions , torch . fork , torch . get_default_dtype , torch . get_num_interop_threads , torch . get_num_threads , torch . init_num_threads , torch . import_ir_module , torch . import_ir_module_from_buffer , torch . is_anomaly_enabled , torch . is_grad_enabled , torch . merge_type_from_type_comment , torch . parse_ir , torch . parse_schema , torch . parse_type_comment , torch . set_anomaly_enabled , torch . set_flush_denormal , torch . set_num_interop_threads , torch . set_num_threads , torch . wait , torch . as_tensor , torch . from_numpy , torch . get_device , torch . tensor , torch . default_generator , torch . has_cuda , torch . has_cudnn , torch . has_lapack , torch . device , torch . dtype , torch . finfo , torch . has_mkl , torch . has_mkldnn , torch . has_openmp , torch . iinfo , torch . memory_format , torch . qscheme , torch . set_grad_enabled , torch . no_grad , torch . enable_grad , torch . inference_mode , torch . is_inference_mode_enabled , torch . layout , torch . align_tensors , torch . arange , torch . as_strided , torch . bartlett_window , torch . blackman_window , torch . broadcast_shapes , torch . can_cast , torch . cudnn_affine_grid_generator , torch . cudnn_batch_norm , torch . cudnn_convolution , torch . cudnn_convolution_transpose , torch . cudnn_convolution_relu , torch . cudnn_convolution_add_relu , torch . cudnn_grid_sampler , torch . cudnn_is_acceptable , torch . empty , torch . empty_strided , torch . empty_quantized , torch . eye , torch . fft . fftfreq , torch . fft . rfftfreq , torch . from_file , torch . full , torch . hamming_window , torch . hann_window , torch . kaiser_window , torch . linspace , torch . logspace , torch . mkldnn_adaptive_avg_pool2d , torch . mkldnn_convolution , torch . mkldnn_max_pool2d , torch . mkldnn_max_pool3d , torch . mkldnn_linear_backward_weights , torch . normal , torch . ones , torch . promote_types , torch . rand , torch . randn , torch . randint , torch . randperm , torch . range , torch . result_type , torch . scalar_tensor , torch . sparse_coo_tensor , torch . sparse_csr_tensor , torch . tril_indices , torch . triu_indices , torch . vander , torch . zeros , torch . _jit_internal . boolean_dispatch , torch . nn . functional . assert_int_or_pair , torch . nn . functional . upsample , torch . nn . functional . upsample_bilinear , torch . nn . functional . upsample_nearest , torch . nn . functional . has_torch_function , torch . nn . functional . has_torch_function_unary , torch . nn . functional . has_torch_function_variadic , torch . nn . functional . handle_torch_function , torch . nn . functional . sigmoid , torch . nn . functional . hardsigmoid , torch . nn . functional . tanh , has_torch_function , handle_torch_function , torch . set_autocast_enabled , torch . is_autocast_enabled , torch . clear_autocast_cache , torch . set_autocast_cpu_enabled , torch . is_autocast_cpu_enabled , torch . set_autocast_cpu_dtype , torch . get_autocast_cpu_dtype , torch . get_autocast_gpu_dtype , torch . set_autocast_gpu_dtype , torch . autocast_increment_nesting , torch . autocast_decrement_nesting , torch . is_autocast_cache_enabled , torch . set_autocast_cache_enabled , torch . nn . functional . hardswish , torch . is_vulkan_available , torch . are_deterministic_algorithms_enabled , torch . use_deterministic_algorithms , torch . is_deterministic_algorithms_warn_only_enabled , torch . set_deterministic_debug_mode , torch . get_deterministic_debug_mode , torch . unify_type_list , torch . is_warn_always_enabled , torch . set_warn_always , torch . vitals_enabled , torch . set_vital , torch . read_vitals , torch . frombuffer , torch . asarray , Tensor . __delitem__ , Tensor . __dir__ , Tensor . __getattribute__ , Tensor . __init__ , Tensor . __iter__ , Tensor . __init_subclass__ , Tensor . __delattr__ , Tensor . __setattr__ , Tensor . __torch_function__ , Tensor . __new__ , Tensor . __class__ , Tensor . __subclasshook__ , Tensor . as_subclass , Tensor . reinforce , Tensor . new , Tensor . new_tensor , Tensor . new_empty , Tensor . new_empty_strided , Tensor . new_zeros , Tensor . new_ones , Tensor . new_full , Tensor . _make_subclass , Tensor . stride , Tensor . unflatten , Tensor . to_sparse_coo , Tensor . to_sparse_csr , Tensor . _reduce_ex_internal , Tensor . _fix_weakref , Tensor . _make_wrapper_subclass , Tensor . _python_dispatch . __get__ , Tensor . _conj , Tensor . _conj_physical , Tensor . _neg_view , Tensor . _is_zerotensor , }