torchoutil.nn.functional package

Functional interface.

Submodules

• torchoutil.nn.functional.activation module
  • log_softmax_multidim()
  • softmax_multidim()
• torchoutil.nn.functional.checksum module
  • checksum()
  • checksum_any()
  • checksum_bool()
  • checksum_builtin_number()
  • checksum_builtin_scalar()
  • checksum_bytearray()
  • checksum_bytes()
  • checksum_complex()
  • checksum_dataclass()
  • checksum_dataframe()
  • checksum_dtype()
  • checksum_float()
  • checksum_function()
  • checksum_int()
  • checksum_iterable()
  • checksum_mapping()
  • checksum_method()
  • checksum_module()
  • checksum_namedtuple()
  • checksum_ndarray()
  • checksum_none()
  • checksum_partial()
  • checksum_path()
  • checksum_pattern()
  • checksum_slice()
  • checksum_str()
  • checksum_tensor()
  • checksum_type()
• torchoutil.nn.functional.cropping module
  • crop_dim()
  • crop_dims()
• torchoutil.nn.functional.get module
• torchoutil.nn.functional.indices module
  • get_inverse_perm()
  • get_perm_indices()
  • insert_at_indices()
  • randperm_diff()
  • remove_at_indices()
• torchoutil.nn.functional.make module
• torchoutil.nn.functional.mask module
  • generate_square_subsequent_mask()
  • lengths_to_non_pad_mask()
  • lengths_to_pad_mask()
  • masked_equal()
  • masked_mean()
  • masked_sum()
  • non_pad_mask_to_lengths()
  • pad_mask_to_lengths()
  • tensor_to_lengths()
  • tensor_to_non_pad_mask()
  • tensor_to_pad_mask()
  • tensor_to_tensors_list()
  • tensors_list_to_lengths()
• torchoutil.nn.functional.multiclass module
  • index_to_name()
  • index_to_onehot()
  • name_to_index()
  • name_to_onehot()
  • one_hot()
  • onehot_to_index()
  • onehot_to_name()
  • probs_to_index()
  • probs_to_name()
  • probs_to_onehot()
• torchoutil.nn.functional.multilabel module
  • indices_to_multihot()
  • indices_to_multinames()
  • multihot_to_indices()
  • multihot_to_multinames()
  • multinames_to_indices()
  • multinames_to_multihot()
  • probs_to_indices()
  • probs_to_multihot()
  • probs_to_multinames()
• torchoutil.nn.functional.new module
  • arange()
  • empty()
  • full()
  • ones()
  • rand()
  • randint()
  • randperm()
  • zeros()
• torchoutil.nn.functional.numpy module
• torchoutil.nn.functional.others module
  • average_power()
  • cat()
  • concat()
  • count_parameters()
  • deep_equal()
  • find()
  • get_ndim()
  • get_shape()
  • mse()
  • ndim()
  • nelement()
  • prod()
  • ranks()
  • rmse()
  • shape()
  • stack()
• torchoutil.nn.functional.padding module
  • cat_padded_batch()
  • pad_and_stack_rec()
  • pad_dim()
  • pad_dims()
• torchoutil.nn.functional.powerset module
  • build_powerset_mapping()
  • get_num_powerset_classes()
  • multilabel_to_powerset()
  • powerset_to_multilabel()
• torchoutil.nn.functional.predicate module
  • all_eq()
  • all_ne()
  • can_be_converted_to_tensor()
  • can_be_stacked()
  • is_complex()
  • is_convertible_to_tensor()
  • is_floating_point()
  • is_full()
  • is_sorted()
  • is_stackable()
  • is_unique()
• torchoutil.nn.functional.segments module
  • activity_to_segments()
  • activity_to_segments_list()
  • extract_segments()
  • segments_list_to_activity()
  • segments_to_activity()
  • segments_to_list()
  • segments_to_segments_list()
• torchoutil.nn.functional.transform module
  • as_tensor()
  • flatten()
  • move_to()
  • move_to_rec()
  • pad_and_crop_dim()
  • repeat_interleave_nd()
  • resample_nearest_freqs()
  • resample_nearest_rates()
  • resample_nearest_steps()
  • shuffled()
  • squeeze()
  • squeeze_()
  • squeeze_copy()
  • to_item()
  • to_tensor()
  • top_k()
  • top_p()
  • topk()
  • transform_drop()
  • unsqueeze()
  • unsqueeze_()
  • unsqueeze_copy()
  • view_as_complex()
  • view_as_real()