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Functions2,541 in github.com/OpenDriveLab/ReSim

↓ 4 callersFunction_ntuple
(n)
SwissArmyTransformer/examples/yolos/models/layers/helper.py:10
↓ 4 callersFunctionadd_param_by_lr
(dic, p, no_weight_decay=False)
SwissArmyTransformer/sat/training/deepspeed_training.py:248
↓ 4 callersFunctionapply_rotary_pos_emb_bhs
(x: torch.Tensor, rope_cache: torch.Tensor)
SwissArmyTransformer/sat/model/position_embedding/rotary_embeddings_original.py:72
↓ 4 callersFunctioncopy_from_param
(src, dst)
SwissArmyTransformer/examples/mae/transform_param.py:38
↓ 4 callersMethodembed_code
(self, embed_id)
SwissArmyTransformer/sat/tokenization/cogview/vqvae/vqvae_zc.py:97
↓ 4 callersMethodencode
(self, text)
SwissArmyTransformer/sat/tokenization/glm/tokenization_gpt2.py:280
↓ 4 callersMethodencode_first_stage
(self, x, batch)
sat/diffusion_video.py:218
↓ 4 callersFunctionexists
(val)
sat/vae_modules/attention.py:56
↓ 4 callersMethodforward
(self, logits, tokens, mems, temperature=None, nan_default_token=None)
SwissArmyTransformer/sat/generation/sampling_strategies/base_strategy.py:71
↓ 4 callersMethodforward
(self, input, timesteps, skip_video=False)
sat/sgm/modules/autoencoding/temporal_ae.py:99
↓ 4 callersMethodfrom_pretrained
(cls, name="vgg_lpips")
sat/sgm/modules/autoencoding/lpips/loss/lpips.py:34
↓ 4 callersFunctionget_context_parallel_group_rank
()
sat/sgm/util.py:70
↓ 4 callersFunctionget_node_group
Get the data parallel group the caller rank belongs to.
SwissArmyTransformer/sat/mpu/initialize.py:123
↓ 4 callersMethodinclude_paths
Returns list of include paths, relative to root of SwissArmyTransformer package (i.e., SwissArmyTransformer/sat)
SwissArmyTransformer/sat/ops/ops_builder/builder.py:196
↓ 4 callersFunctioninitialize_context_parallel
(context_parallel_size)
sat/sgm/util.py:32
↓ 4 callersFunctioninitialize_distributed
Initialize torch.distributed.
SwissArmyTransformer/sat/arguments.py:508
↓ 4 callersFunctionis_dist_avail_and_initialized
()
SwissArmyTransformer/examples/yolos/util/misc.py:377
↓ 4 callersMethodload_state_dict
(self, state_dict)
SwissArmyTransformer/examples/mae/util/misc.py:276
↓ 4 callersFunctionnew_module
in config: "target": module type, vqvae_zc.Decoder/vqvae_diffusion.Decoder/vqvae_diffusion.Decoder2 "ckpt": path of c
SwissArmyTransformer/sat/tokenization/cogview/vqvae/api.py:17
↓ 4 callersFunctionnonlinearity
(x)
sat/sgm/modules/autoencoding/vqvae/movq_enc_3d.py:46
↓ 4 callersFunctionpick_video_frame
(video, frame_indices)
sat/sgm/modules/autoencoding/losses/video_loss.py:51
↓ 4 callersMethodsources
Returns list of source files for your op, relative to root of sat package (i.e., SwissArmyTransformer/sat)
SwissArmyTransformer/sat/ops/ops_builder/builder.py:113
↓ 4 callersMethodstate_dict
(self)
SwissArmyTransformer/examples/mae/util/misc.py:273
↓ 4 callersMethodstep
(self, step_num=None)
SwissArmyTransformer/sat/training/learning_rates.py:66
↓ 4 callersMethodupdate_groups
(self, values)
SwissArmyTransformer/examples/yolos/util/scheduler.py:86
↓ 4 callersFunctionzero_module
Zero out the parameters of a module and return it.
sat/sgm/modules/diffusionmodules/util.py:203
↓ 3 callersMethodDecodeIds
convert Ids to tokens accounting for command tokens, tokens are joined and returned as a string.
SwissArmyTransformer/sat/tokenization/glm/tokenization.py:333
↓ 3 callersMethodEncodeAsIds
(self, text, process_fn=None)
SwissArmyTransformer/sat/tokenization/hf_tokenizer.py:42
↓ 3 callersMethod__init__
(self, text_tokenizer, command_tokens=None)
SwissArmyTransformer/sat/tokenization/glm/tokenization.py:153
↓ 3 callersMethod__init__
(self, code: bytes, function_names: List[str])
SwissArmyTransformer/sat/quantization/kernels.py:22
↓ 3 callersMethod__init__
(self, head_dim)
SwissArmyTransformer/sat/model/official/eva_clip_model.py:18
↓ 3 callersMethod__init__
(self, vocab_size, hidden_size)
SwissArmyTransformer/sat/model/official/llama_model.py:71
↓ 3 callersMethod__init__
(self, vocab_size, hidden_size)
SwissArmyTransformer/sat/model/official/mixtral_model.py:67
↓ 3 callersMethod__init__
(self, args, transformer=None, **kwargs)
SwissArmyTransformer/sat/model/official/chatglm_model.py:166
↓ 3 callersMethod__init__
(self, input_dim, hidden_dim, output_dim, num_layers)
SwissArmyTransformer/sat/model/official/yolos_model.py:24
↓ 3 callersMethod__init__
(self, vocab_size, hidden_size, layernorm_epsilon=1.0e-5)
SwissArmyTransformer/sat/model/official/bert_model.py:9
↓ 3 callersMethod__init__
(self, in_features, out_features, rank=4, network_alpha=None, device=None, dtype=None)
sat/sgm/modules/diffusionmodules/lora.py:23
↓ 3 callersMethod__init__
(self, use_dropout=True)
sat/sgm/modules/autoencoding/lpips/loss/lpips.py:14
↓ 3 callersMethod_decode
(self, ids)
SwissArmyTransformer/sat/tokenization/glm/tokenization.py:306
↓ 3 callersMethod_get_src_permutation_idx
(self, indices)
SwissArmyTransformer/examples/yolos/models/detector.py:180
↓ 3 callersFunction_initialize_affine_weight
Initialize affine weight for model parallel. Build the master weight on all processes and scatter the relevant chunk.
SwissArmyTransformer/sat/mpu/layers.py:38
↓ 3 callersFunction_run
(command)
SwissArmyTransformer/examples/yolos/util/misc.py:251
↓ 3 callersMethodabsolute_name
Returns absolute build path for cases where the op is pre-installed, e.g., sat.ops.adam.cpu_adam will be installed as something like:
SwissArmyTransformer/sat/ops/ops_builder/builder.py:105
↓ 3 callersMethodadd_model_specific_args
(cls, parser)
SwissArmyTransformer/examples/mae/mae_finetune_model.py:16
↓ 3 callersFunctionassert_no_cuda_mismatch
(name="")
SwissArmyTransformer/sat/ops/ops_builder/builder.py:76
↓ 3 callersMethodchat
(self, tokenizer, query: str, history: List[Tuple[str, str]] = None, max_length: int = 8192, num_beams=1,
SwissArmyTransformer/examples/chatglm2/chat_model.py:162
↓ 3 callersFunctioncheckpoint
Evaluate a function without caching intermediate activations, allowing for reduced memory at the expense of extra compute in the backward pas
sat/vae_modules/utils.py:354
↓ 3 callersMethodcollect_hooks_
(self)
SwissArmyTransformer/sat/model/base_model.py:140
↓ 3 callersFunctioncompress_int4_weight
(weight: torch.Tensor)
SwissArmyTransformer/sat/quantization/kernels.py:70
↓ 3 callersFunctioncopy_layer_param
in-place copy from src to dst src and dst should be the same layer type, e.g., both are LayerNorm or both are Linear. Or at least, bo
SwissArmyTransformer/examples/gpt2/transform_param.py:61
↓ 3 callersFunctioncopy_linear_to_conv1d
(src, dst)
SwissArmyTransformer/examples/gpt2/transform_param.py:89
↓ 3 callersFunctioncreate_dataset_function
(path, args)
SwissArmyTransformer/tests/test_train.py:105
↓ 3 callersFunctioncrop
(image, target, region)
SwissArmyTransformer/examples/yolos/datasets_/transforms.py:16
↓ 3 callersMethodcumsum
(sequence, weights)
SwissArmyTransformer/sat/data_utils/configure_data.py:317
↓ 3 callersMethodcxx_args
Returns optional list of compiler flags to forward to the build
SwissArmyTransformer/sat/ops/ops_builder/builder.py:208
↓ 3 callersMethoddecode
(self, tokens)
SwissArmyTransformer/sat/tokenization/cogview/sp_tokenizer.py:89
↓ 3 callersFunctiondivisible_by
(num, den)
sat/sgm/modules/autoencoding/magvit2_pytorch.py:64
↓ 3 callersMethodencode
( self, x: torch.Tensor, return_reg_log: bool = False, unregularized: bool = F
sat/vae_modules/autoencoder.py:218
↓ 3 callersMethodfinalize
(self, tokens, mems)
SwissArmyTransformer/sat/generation/sampling_strategies/base_strategy.py:101
↓ 3 callersFunctionfn
(tau)
sat/sgm/modules/diffusionmodules/sampling_utils.py:124
↓ 3 callersMethodforward
(self, hidden_states)
SwissArmyTransformer/sat/ops/layernorm.py:37
↓ 3 callersMethodforward
(self, hidden_states)
sat/sgm/modules/diffusionmodules/lora.py:38
↓ 3 callersMethodforward
(self, x, space_only=False, time_only=False)
sat/sgm/modules/autoencoding/magvit2_pytorch.py:485
↓ 3 callersFunctiongather_from_model_parallel_region
(input_)
SwissArmyTransformer/sat/mpu/mappings.py:140
↓ 3 callersFunctiongenerate_continually
(func, input_source='interactive')
SwissArmyTransformer/sat/generation/utils.py:43
↓ 3 callersFunctionget_1d_sincos_pos_embed_from_grid
embed_dim: output dimension for each position pos: a list of positions to be encoded: size (M,) out: (M, D)
sat/dit_video_concat.py:172
↓ 3 callersMethodget_blank_token
(length: int)
SwissArmyTransformer/sat/tokenization/icetk_glm_130B/ice_tokenizer.py:67
↓ 3 callersMethodget_input
(self, batch: Dict)
sat/sgm/models/autoencoder.py:176
↓ 3 callersMethodget_input
(self, batch: Dict)
sat/vae_modules/autoencoder.py:192
↓ 3 callersFunctionget_masks_and_position_ids
(data, loss_mask=None, attention_mask=None, args=None)
SwissArmyTransformer/tests/test_train.py:16
↓ 3 callersFunctionget_masks_and_position_ids_default
(seq)
SwissArmyTransformer/sat/generation/autoregressive_sampling.py:18
↓ 3 callersFunctionget_obj_from_str
(string, reload=False, invalidate_cache=True)
sat/vae_modules/utils.py:256
↓ 3 callersMethodget_tab_token
()
SwissArmyTransformer/sat/tokenization/icetk_glm_130B/ice_tokenizer.py:72
↓ 3 callersFunctionget_world_size
()
SwissArmyTransformer/examples/yolos/util/misc.py:385
↓ 3 callersFunctiongrad_layer_wrt_loss
(loss: Tensor, layer: nn.Parameter)
sat/sgm/modules/autoencoding/magvit2_pytorch.py:149
↓ 3 callersMethodinitialize
(self, input)
sat/sgm/modules/autoencoding/lpips/util.py:56
↓ 3 callersFunctioninitialize_context_parallel
(context_parallel_size)
sat/vae_modules/utils.py:25
↓ 3 callersFunctionis_dist_avail_and_initialized
()
SwissArmyTransformer/examples/mae/util/misc.py:187
↓ 3 callersFunctioniter_repartition
(module)
SwissArmyTransformer/sat/mpu/operation.py:35
↓ 3 callersFunctionleaky_relu
(p=0.1)
sat/sgm/modules/autoencoding/magvit2_pytorch.py:135
↓ 3 callersMethodlist_avail_args
List all available args of the current model.
SwissArmyTransformer/sat/model/base_model.py:272
↓ 3 callersFunctionload_json
(json_path, verbose=True)
sat/data_utils.py:19
↓ 3 callersFunctionlog_txt_as_img
(wh, xc, size=10)
sat/sgm/util.py:156
↓ 3 callersFunctionmake_data_loader
(dataset, batch_size, args, split, collate_fn=None)
SwissArmyTransformer/sat/data_utils/configure_data.py:28
↓ 3 callersFunctionmaybe_del_attr_
(o, attr)
sat/sgm/modules/autoencoding/magvit2_pytorch.py:84
↓ 3 callersFunctionmemory_efficient_attention
(q, k, v, attention_dropout=0., mask=None, scale=None)
SwissArmyTransformer/sat/ops/memory_efficient_attention.py:4
↓ 3 callersMethodmerge
(self, new_weights, new_biases)
SwissArmyTransformer/sat/mpu/layers.py:478
↓ 3 callersFunctionpad
(image, target, padding)
SwissArmyTransformer/examples/yolos/datasets_/transforms.py:154
↓ 3 callersFunctionpad_at_dim
(t, pad, dim=-1, value=0.0)
sat/sgm/modules/autoencoding/magvit2_pytorch.py:100
↓ 3 callersFunctionpair
(t)
sat/sgm/modules/autoencoding/losses/video_loss.py:29
↓ 3 callersMethodparse_query
(self, query, img_size=256)
SwissArmyTransformer/sat/tokenization/cogview/unified_tokenizer.py:149
↓ 3 callersMethodpartition
(self, new_model_parallel_size=None, full_weight=None)
SwissArmyTransformer/sat/mpu/layers.py:453
↓ 3 callersMethodprepare_inputs
(self, x: torch.Tensor, s: float, c: Dict, uc: Dict)
sat/sgm/modules/diffusionmodules/guiders.py:18
↓ 3 callersFunctionprocess_fn
(row)
SwissArmyTransformer/tests/test_train.py:111
↓ 3 callersFunctionreduce_from_model_parallel_region
(input_)
SwissArmyTransformer/sat/mpu/mappings.py:134
↓ 3 callersMethodreset
Reset timer.
SwissArmyTransformer/sat/training/utils.py:93
↓ 3 callersFunctionresize
(image, target, size, max_size=None)
SwissArmyTransformer/examples/yolos/datasets_/transforms.py:76
↓ 3 callersMethodsample
( self, cond: Dict, uc: Union[Dict, None] = None, batch_size: int = 16,
sat/diffusion_video.py:261
↓ 3 callersMethodsampler_step
(self, sigma, next_sigma, denoiser, x, cond, uc=None, gamma=0.0)
sat/sgm/modules/diffusionmodules/sampling.py:94
↓ 3 callersMethodscale_schedule
(scale, sigma, step_index)
sat/sgm/modules/diffusionmodules/guiders.py:90
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