SYMBOL INDEX (110 symbols across 5 files)

FILE: imagebind/data.py
  function return_bpe_path (line 26) | def return_bpe_path():
  function waveform2melspec (line 32) | def waveform2melspec(waveform, sample_rate, num_mel_bins, target_length):
  function get_clip_timepoints (line 71) | def get_clip_timepoints(clip_sampler, duration):
  function load_and_transform_vision_data (line 82) | def load_and_transform_vision_data(image_paths, device):
  function load_and_transform_text (line 109) | def load_and_transform_text(text, device):
  function load_and_transform_audio_data (line 118) | def load_and_transform_audio_data(
  function crop_boxes (line 168) | def crop_boxes(boxes, x_offset, y_offset):
  function uniform_crop (line 187) | def uniform_crop(images, size, spatial_idx, boxes=None, scale_size=None):
  class SpatialCrop (line 246) | class SpatialCrop(nn.Module):
    method __init__ (line 255) | def __init__(self, crop_size: int = 224, num_crops: int = 3):
    method forward (line 267) | def forward(self, videos):
  class NormalizeVideo (line 289) | class NormalizeVideo:
    method __init__ (line 290) | def __init__(self, mean, std, inplace=False):
    method __call__ (line 295) | def __call__(self, clip):
  function load_and_transform_video_data (line 304) | def load_and_transform_video_data(

FILE: imagebind/models/helpers.py
  class Normalize (line 15) | class Normalize(nn.Module):
    method __init__ (line 16) | def __init__(self, dim: int) -> None:
    method forward (line 20) | def forward(self, x):
  class LearnableLogitScaling (line 24) | class LearnableLogitScaling(nn.Module):
    method __init__ (line 25) | def __init__(
    method forward (line 41) | def forward(self, x):
    method extra_repr (line 44) | def extra_repr(self):
  class EinOpsRearrange (line 50) | class EinOpsRearrange(nn.Module):
    method __init__ (line 51) | def __init__(self, rearrange_expr: str, **kwargs) -> None:
    method forward (line 56) | def forward(self, x):
  class VerboseNNModule (line 61) | class VerboseNNModule(nn.Module):
    method get_readable_tensor_repr (line 67) | def get_readable_tensor_repr(name: str, tensor: torch.Tensor) -> str:
    method extra_repr (line 80) | def extra_repr(self) -> str:
  function cast_if_src_dtype (line 99) | def cast_if_src_dtype(
  class QuickGELU (line 109) | class QuickGELU(nn.Module):
    method forward (line 111) | def forward(self, x: torch.Tensor):
  class SelectElement (line 115) | class SelectElement(nn.Module):
    method __init__ (line 116) | def __init__(self, index) -> None:
    method forward (line 120) | def forward(self, x):
  class SelectEOSAndProject (line 125) | class SelectEOSAndProject(nn.Module):
    method __init__ (line 130) | def __init__(self, proj: nn.Module) -> None:
    method forward (line 134) | def forward(self, x, seq_len):

FILE: imagebind/models/imagebind_model.py
  class ImageBindModel (line 37) | class ImageBindModel(nn.Module):
    method __init__ (line 38) | def __init__(
    method _create_modality_preprocessors (line 131) | def _create_modality_preprocessors(
    method _create_modality_trunks (line 265) | def _create_modality_trunks(
    method _create_modality_heads (line 366) | def _create_modality_heads(
    method _create_modality_postprocessors (line 418) | def _create_modality_postprocessors(self, out_embed_dim):
    method forward (line 444) | def forward(self, inputs):
  function imagebind_huge (line 479) | def imagebind_huge(pretrained=False):

FILE: imagebind/models/multimodal_preprocessors.py
  function get_sinusoid_encoding_table (line 26) | def get_sinusoid_encoding_table(n_position, d_hid):
  function interpolate_pos_encoding_2d (line 45) | def interpolate_pos_encoding_2d(target_spatial_size, pos_embed):
  function interpolate_pos_encoding (line 65) | def interpolate_pos_encoding(
  function _get_pos_embedding (line 104) | def _get_pos_embedding(
  class PatchEmbedGeneric (line 121) | class PatchEmbedGeneric(nn.Module):
    method __init__ (line 126) | def __init__(self, proj_stem, norm_layer: Optional[nn.Module] = None):
    method get_patch_layout (line 137) | def get_patch_layout(self, img_size):
    method forward (line 151) | def forward(self, x):
  class SpatioTemporalPosEmbeddingHelper (line 160) | class SpatioTemporalPosEmbeddingHelper(VerboseNNModule):
    method __init__ (line 161) | def __init__(
    method get_pos_embedding (line 183) | def get_pos_embedding(self, vision_input, all_vision_tokens):
  class RGBDTPreprocessor (line 195) | class RGBDTPreprocessor(VerboseNNModule):
    method __init__ (line 196) | def __init__(
    method init_parameters (line 236) | def init_parameters(self, init_param_style):
    method tokenize_input_and_cls_pos (line 255) | def tokenize_input_and_cls_pos(self, input, stem, mask):
    method forward (line 273) | def forward(self, vision=None, depth=None, patch_mask=None):
  class AudioPreprocessor (line 301) | class AudioPreprocessor(RGBDTPreprocessor):
    method __init__ (line 302) | def __init__(self, audio_stem: PatchEmbedGeneric, **kwargs) -> None:
    method forward (line 305) | def forward(self, audio=None):
  class ThermalPreprocessor (line 309) | class ThermalPreprocessor(RGBDTPreprocessor):
    method __init__ (line 310) | def __init__(self, thermal_stem: PatchEmbedGeneric, **kwargs) -> None:
    method forward (line 313) | def forward(self, thermal=None):
  function build_causal_attention_mask (line 317) | def build_causal_attention_mask(context_length):
  class TextPreprocessor (line 326) | class TextPreprocessor(VerboseNNModule):
    method __init__ (line 327) | def __init__(
    method init_parameters (line 362) | def init_parameters(self, init_param_style="openclip"):
    method forward (line 378) | def forward(self, text):
  class Im2Video (line 406) | class Im2Video(nn.Module):
    method __init__ (line 409) | def __init__(self, time_dim=2):
    method forward (line 413) | def forward(self, x):
  class PadIm2Video (line 423) | class PadIm2Video(Im2Video):
    method __init__ (line 424) | def __init__(self, ntimes, pad_type, time_dim=2):
    method forward (line 431) | def forward(self, x):
  function bytes_to_unicode (line 447) | def bytes_to_unicode():
  function get_pairs (line 473) | def get_pairs(word):
  function basic_clean (line 485) | def basic_clean(text):
  function whitespace_clean (line 491) | def whitespace_clean(text):
  class SimpleTokenizer (line 497) | class SimpleTokenizer(object):
    method __init__ (line 498) | def __init__(self, bpe_path: str, context_length=77):
    method bpe (line 525) | def bpe(self, token):
    method encode (line 566) | def encode(self, text):
    method decode (line 576) | def decode(self, tokens):
    method __call__ (line 585) | def __call__(self, texts, context_length=None):
  class IMUPreprocessor (line 606) | class IMUPreprocessor(VerboseNNModule):
    method __init__ (line 607) | def __init__(
    method init_parameters (line 635) | def init_parameters(self, init_param_style):
    method tokenize_input_and_cls_pos (line 650) | def tokenize_input_and_cls_pos(self, input, stem):
    method forward (line 665) | def forward(self, imu):

FILE: imagebind/models/transformer.py
  class Attention (line 23) | class Attention(nn.Module):
    method __init__ (line 24) | def __init__(
    method forward (line 45) | def forward(self, x):
  class Mlp (line 68) | class Mlp(nn.Module):
    method __init__ (line 69) | def __init__(
    method forward (line 85) | def forward(self, x):
  class MultiheadAttention (line 94) | class MultiheadAttention(nn.MultiheadAttention):
    method forward (line 95) | def forward(self, x: torch.Tensor, attn_mask: torch.Tensor):
  class ViTAttention (line 99) | class ViTAttention(Attention):
    method forward (line 100) | def forward(self, x: torch.Tensor, attn_mask: torch.Tensor):
  class BlockWithMasking (line 105) | class BlockWithMasking(nn.Module):
    method __init__ (line 106) | def __init__(
    method forward (line 159) | def forward(self, x: torch.Tensor, attn_mask: torch.Tensor):
  class SimpleTransformer (line 176) | class SimpleTransformer(nn.Module):
    method __init__ (line 177) | def __init__(
    method _init_weights (line 230) | def _init_weights(self, m):
    method forward (line 245) | def forward(