↓ 1 callersFunctionimage_eval(pred_xs, pred_recs, lpips_alex, lpips_vgg, ssim_value, psnr_value, num_iter)
tools/run_tokenizer.py:192
↓ 1 callersFunctionprecompute_rope2d_freqs_grid(dim, dynamic_resolution_h_w, rope2d_normalized_by_hw, pad_to_multiplier=1, max_height=2048 // 16, max_width=2
infinity/models/basic.py:38
Method__init__ :param block_scales: accept VAR's block sizes like [(1,1), (2,2), (3,3)] :param mask_type: var/causal :param B: batch size
infinity/models/flex_attn.py:73
Method__init__(self, device, dir_or_name='t5-v1_1-xxl', *, local_cache=False, cache_dir=None, hf_token=None, use_text_prepro
infinity/models/t5.py:20
Method__init__(self, in_features, hidden_features, out_features=None, drop=0., fused_mlp=False)
infinity/models/basic.py:177
Method__init__(
self, embed_dim, kv_dim, cross_attn_layer_scale, cond_dim, act: bool, shared_aln: bool, norm_layer:
infinity/models/basic.py:408
Method__init__(
self,
embed_dim, kv_dim, cross_attn_layer_scale, cond_dim, act: bool, shared_aln: bool, norm
infinity/models/basic.py:455
Method__init__(
self,
*,
dim,
codebook_size,
soft_clamp_input_value = None,
infinity/models/bsq_vae/multiscale_bsq.py:173
Method__init__(self, in_channels, cnn_type="2d", spatial_up=False, temporal_up=False, use_pxsl=False)
infinity/models/bsq_vae/flux_vqgan.py:146
Method__init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, cnn_type="2d", causal_offset=0, temporal_d
infinity/models/bsq_vae/conv.py:8