↓ 13 callersMethod__init__(
self,
config,
in_channels,
out_channels,
stride,
dilation,
Logics-Parsing-Omni/transformers-omni3/src/transformers/models/bit/modeling_bit.py:484
↓ 13 callersMethod__init__(
self,
config,
idx,
hidden_sizes,
key_dim,
depths,
nu
Logics-Parsing-Omni/transformers-omni3/src/transformers/models/levit/modeling_levit.py:341
↓ 13 callersMethod__init__(self, config, dim, input_resolution, num_heads, drop_path_rate=0.0, shift_size=0)
Logics-Parsing-Omni/transformers-omni3/src/transformers/models/maskformer/modeling_maskformer_swin.py:467
↓ 13 callersMethod__init__(self, config, dim, input_resolution, num_heads, drop_path_rate=0.0, shift_size=0)
Logics-Parsing-Omni/transformers-omni3/src/transformers/models/donut/modeling_donut_swin.py:518
↓ 13 callersFunction_prepare_4d_causal_attention_mask Creates a causal 4D mask of shape `(batch_size, 1, query_length, key_value_length)` from a 2D mask of shape `(batch_size, key_value_length)`
Logics-Parsing-Omni/transformers-omni3/src/transformers/modeling_attn_mask_utils.py:308
↓ 12 callersMethodcheck_saved_checkpoints(
self, output_dir, freq, total, is_pretrained=True, safe_weights=True, use_scaler=False
)
Logics-Parsing-Omni/transformers-omni3/tests/trainer/test_trainer.py:619