↓ 1 callersFunctionattn_bias_shape(attn_impl, n_heads, seq_len, alibi, prefix_lm, causal, use_sequence_id)
llava/model/language_model/mpt/attention.py:258
↓ 1 callersFunctionbuild_alibi_bias(n_heads, seq_len, full=False, alibi_bias_max=8, device=None, dtype=None)
llava/model/language_model/mpt/attention.py:292
↓ 1 callersFunctionbuild_attn_bias(attn_impl, attn_bias, n_heads, seq_len, causal=False, alibi=False, alibi_bias_max=8)
llava/model/language_model/mpt/attention.py:272
↓ 1 callersFunctioncreate_data_loader(questions, image_folder, tokenizer, image_processor, model_config, batch_size=1, num_workers=4)
llava/eval/model_vqa_loader.py:65
↓ 1 callersMethoddenoise(self, x, denoiser, sigma, cond, uc, control_scale=1.0)
sgm/modules/diffusionmodules/sampling.py:429
↓ 1 callersMethoddenoise(self, x, denoiser, sigma, cond, uc, control_scale=1.0)
sgm/modules/diffusionmodules/sampling.py:543