Datasets:
itazap
/
transformers_code_embeddings_v3

Dataset card Data Studio Files
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1
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24
117
embedding
listlengths
2.56k
2.56k
tokens
listlengths
4
444
seamless_m4t/modeling_seamless_m4t.py:SeamlessM4TCodeHifiGan
[ -0.00010842526535270736, 0.02798345312476158, -0.016993999481201172, -0.006372750271111727, -0.0003080162568949163, -0.014614840038120747, 0.08066485822200775, -0.023565012961626053, -0.005806283559650183, -0.020732680335640907, 0.04916930943727493, 0.013142026960849762, -0.00563634326681494...
[ "Embedding", "ModelCodeHifiGan", "ModelConfig", "ModelHifiGan", "ModelVariancePredictor", "PreTrainedModel", "True", "__init__", "_conv_out_length", "_get_dur_output_lengths", "_get_output_hifigan_lengths", "_no_split_modules", "_transpose_conv_out_length", "and", "apply_weight_norm", ...
seamless_m4t/modeling_seamless_m4t.py:SeamlessM4TForTextToText
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[ "BaseModelOutput", "CrossEntropyLoss", "Embedding", "False", "GenerationMixin", "Linear", "ModelDecoder", "ModelEncoder", "ModelForTextToText", "ModelPreTrainedModel", "Model_COMMON_CUSTOM_ARGS", "None", "Seq2SeqLMOutput", "ValueError", "__", "__init__", "_keys_to_ignore_on_load_miss...
seamless_m4t/modeling_seamless_m4t.py:SeamlessM4TForSpeechToText
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[ "BaseModelOutput", "CrossEntropyLoss", "Embedding", "False", "GenerationMixin", "Linear", "ModelDecoder", "ModelForSpeechToText", "ModelPreTrainedModel", "ModelSpeechEncoder", "Model_COMMON_CUSTOM_ARGS", "None", "Seq2SeqLMOutput", "ValueError", "__", "__init__", "_compute_new_attenti...
seamless_m4t/modeling_seamless_m4t.py:SeamlessM4TForTextToSpeech
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[ "BaseModelOutput", "CrossEntropyLoss", "Embedding", "False", "GenerationMixin", "If", "It", "Linear", "ModelCodeHifiGan", "ModelDecoder", "ModelEncoder", "ModelForTextToSpeech", "ModelForTextToText", "ModelGenerationOutput", "ModelPreTrainedModel", "ModelTextToUnitForConditionalGenerat...
seamless_m4t/modeling_seamless_m4t.py:SeamlessM4TForSpeechToSpeech
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[ "BaseModelOutput", "CrossEntropyLoss", "Embedding", "False", "GenerationMixin", "If", "It", "Linear", "ModelCodeHifiGan", "ModelDecoder", "ModelForSpeechToSpeech", "ModelForSpeechToText", "ModelGenerationOutput", "ModelPreTrainedModel", "ModelSpeechEncoder", "ModelTextToUnitForConditio...
seamless_m4t/modeling_seamless_m4t.py:SeamlessM4TModel
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[ "BaseModelOutput", "CrossEntropyLoss", "Embedding", "False", "GenerationMixin", "If", "It", "Linear", "Make", "ModelCodeHifiGan", "ModelDecoder", "ModelEncoder", "ModelForSpeechToText", "ModelForTextToText", "ModelGenerationOutput", "ModelModel", "ModelPreTrainedModel", "ModelSpeec...
align/modeling_align.py:AlignVisionModelOutput
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[ "ModelOutput", "ModelVisionModelOutput", "None", "class", "hidden_states", "image_embeds", "last_hidden_state", "r" ]
align/modeling_align.py:AlignTextModelOutput
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[ "ModelOutput", "ModelTextModelOutput", "None", "attentions", "class", "hidden_states", "last_hidden_state", "r", "text_embeds" ]
align/modeling_align.py:AlignOutput
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[ "ModelOutput", "None", "class", "def", "else", "for", "getattr", "if", "image_embeds", "in", "k", "keys", "logits_per_image", "logits_per_text", "loss", "not", "r", "return", "self", "text_embeds", "text_model_output", "to_tuple", "tuple", "vision_model_output" ]
align/modeling_align.py:contrastive_loss
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[ "Model_loss", "arange", "cross_entropy", "def", "device", "functional", "label_smoothing", "len", "logits", "nn", "return", "torch" ]
align/modeling_align.py:align_loss
[ 0.00016538903582841158, 0.037811294198036194, 0.07969805598258972, -0.01867923140525818, 0.0008844333351589739, 0.043924495577812195, -0.004499996546655893, -0.011433953419327736, 0.026603754609823227, 0.019132060930132866, 0.03350941091775894, -0.005122637841850519, 0.003735846374183893, ...
[ "Model_loss", "caption_loss", "contrastive_loss", "def", "image_loss", "return", "similarity", "t" ]
align/modeling_align.py:round_filters
[ -0.00017784991359803826, 0.025369716808199883, 0.017554936930537224, 0.0007857250166125596, -0.0005733668804168701, 0.024237139150500298, 0.04756821691989899, -0.040772758424282074, 0.0033552581444382668, 0.005096594803035259, -0.0012175198644399643, -0.039866697043180466, 0.0011325766099616...
[ "Model_filters", "config", "def", "depth_divisor", "divisor", "if", "int", "max", "new_dim", "num_channels", "r", "return", "width_coefficient" ]
align/modeling_align.py:correct_pad
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[ "Model", "Model_pad", "True", "adjust", "def", "else", "if", "int", "isinstance", "kernel_size", "r" ]
align/modeling_align.py:AlignVisionEmbeddings
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[ "ACT2FN", "BatchNorm2d", "Conv2d", "ModelVisionEmbeddings", "Module", "ZeroPad2d", "__init__", "activation", "batch_norm_eps", "batch_norm_momentum", "batchnorm", "class", "config", "convolution", "def", "eps", "features", "forward", "hidden_act", "kernel_size", "momentum", ...
align/modeling_align.py:AlignVisionDepthwiseConv2d
[ -0.00006915433914400637, -0.0027908398769795895, 0.00569444103166461, -0.03270075097680092, -0.00016914181469473988, 0.03856433555483818, 0.038338810205459595, -0.04149612411856651, 0.017139704897999763, 0.010712315328419209, 0.02694992907345295, -0.029543437063694, 0.0017477987566962838, ...
[ "Conv2d", "ModelVisionDepthwiseConv2d", "__init__", "class", "def", "depth_multiplier", "dilation", "groups", "in_channels", "kernel_size", "nn", "out_channels", "padding", "padding_mode", "self", "stride", "super", "zeros" ]
align/modeling_align.py:AlignVisionExpansionLayer
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[ "ACT2FN", "BatchNorm2d", "Conv2d", "ModelVisionExpansionLayer", "Module", "__init__", "batch_norm_eps", "class", "config", "def", "eps", "expand_act", "expand_bn", "expand_conv", "forward", "hidden_act", "hidden_states", "in_channels", "in_dim", "kernel_size", "nn", "num_fe...
align/modeling_align.py:AlignVisionDepthwiseLayer
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[ "ACT2FN", "BatchNorm2d", "ModelVisionDepthwiseConv2d", "ModelVisionDepthwiseLayer", "Module", "ZeroPad2d", "__init__", "adjust", "adjust_padding", "batch_norm_eps", "batch_norm_momentum", "class", "config", "conv_pad", "correct_pad", "def", "depthwise_act", "depthwise_conv", "dep...
align/modeling_align.py:AlignVisionSqueezeExciteLayer
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[ "ACT2FN", "AdaptiveAvgPool2d", "Conv2d", "False", "ModelVisionSqueezeExciteLayer", "Module", "Sigmoid", "__init__", "act_expand", "act_reduce", "class", "config", "def", "dim", "dim_se", "else", "expand", "expand_dim", "forward", "hidden_act", "hidden_states", "if", "in_c...
align/modeling_align.py:AlignVisionFinalBlockLayer
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[ "BatchNorm2d", "Conv2d", "Dropout", "ModelVisionFinalBlockLayer", "Module", "__init__", "and", "apply_dropout", "batch_norm_eps", "batch_norm_momentum", "class", "config", "def", "drop_rate", "dropout", "embeddings", "eps", "forward", "hidden_states", "id_skip", "if", "in_c...
align/modeling_align.py:AlignVisionBlock
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[ "ModelVisionBlock", "ModelVisionDepthwiseLayer", "ModelVisionExpansionLayer", "ModelVisionFinalBlockLayer", "ModelVisionSqueezeExciteLayer", "Module", "__init__", "adjust_padding", "class", "config", "def", "depthwise_conv", "drop_rate", "else", "embeddings", "expand", "expand_dim", ...
align/modeling_align.py:AlignVisionEncoder
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[ "BaseModelOutputWithNoAttention", "ModelVisionBlock", "ModelVisionEncoder", "Module", "ModuleList", "__init__", "adjust_padding", "append", "block", "blocks", "ceil", "class", "config", "curr_block_num", "def", "depth_coefficient", "depthwise_padding", "drop_connect_rate", "drop_...
align/modeling_align.py:AlignTextEmbeddings
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[ "Dropout", "Embedding", "False", "LayerNorm", "ModelTextEmbeddings", "Module", "None", "__init__", "arange", "buffered_token_type_ids", "buffered_token_type_ids_expanded", "class", "config", "def", "device", "dropout", "dtype", "else", "embeddings", "eps", "expand", "forwar...
align/modeling_align.py:eager_attention_forward
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[ "Model_attention_forward", "None", "attention_mask", "attn_output", "attn_weights", "contiguous", "def", "dim", "dropout", "dtype", "float32", "functional", "if", "is", "key", "kwargs", "matmul", "module", "nn", "not", "p", "query", "return", "scaling", "softmax", "...
align/modeling_align.py:AlignTextSelfAttention
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[ "ALL_ATTENTION_FUNCTIONS", "Dropout", "Linear", "ModelTextSelfAttention", "Module", "None", "The", "ValueError", "__init__", "_attn_implementation", "a", "all_head_size", "and", "attention", "attention_dropout", "attention_head_size", "attention_interface", "attention_mask", "att...
align/modeling_align.py:AlignTextSelfOutput
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[ "Dropout", "LayerNorm", "Linear", "ModelTextSelfOutput", "Module", "__init__", "class", "config", "def", "dense", "dropout", "eps", "forward", "hidden_dropout_prob", "hidden_size", "hidden_states", "input_tensor", "layer_norm_eps", "nn", "return", "self", "super" ]
align/modeling_align.py:AlignTextAttention
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[ "ModelTextAttention", "ModelTextSelfAttention", "ModelTextSelfOutput", "Module", "None", "_", "__init__", "attention_mask", "class", "config", "def", "forward", "hidden_states", "kwargs", "nn", "output", "residual", "return", "self", "super" ]
align/modeling_align.py:AlignTextIntermediate
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[ "ACT2FN", "Linear", "ModelTextIntermediate", "Module", "__init__", "class", "config", "def", "dense", "else", "forward", "hidden_act", "hidden_size", "hidden_states", "if", "intermediate_act_fn", "intermediate_size", "isinstance", "nn", "return", "self", "str", "super" ]
align/modeling_align.py:AlignTextOutput
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[ "Dropout", "LayerNorm", "Linear", "ModelTextOutput", "Module", "__init__", "class", "config", "def", "dense", "dropout", "eps", "forward", "hidden_dropout_prob", "hidden_size", "hidden_states", "input_tensor", "intermediate_size", "layer_norm_eps", "nn", "return", "self", ...
align/modeling_align.py:AlignTextLayer
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[ "GradientCheckpointingLayer", "ModelTextAttention", "ModelTextIntermediate", "ModelTextLayer", "ModelTextOutput", "None", "__init__", "apply_chunking_to_forward", "attention", "attention_mask", "attention_output", "chunk_size_feed_forward", "class", "config", "def", "feed_forward_chunk...
align/modeling_align.py:AlignTextEncoder
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[ "BaseModelOutput", "False", "ModelTextEncoder", "ModelTextLayer", "Module", "ModuleList", "None", "__init__", "attention_mask", "class", "config", "def", "for", "forward", "gradient_checkpointing", "hidden_states", "i", "in", "kwargs", "last_hidden_state", "layer", "layer_m...
align/modeling_align.py:AlignTextPooler
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[ "Linear", "ModelTextPooler", "Module", "Tanh", "__init__", "activation", "class", "config", "def", "dense", "first_token_tensor", "forward", "hidden_size", "hidden_states", "nn", "pooled_output", "return", "self", "super" ]
align/modeling_align.py:AlignPreTrainedModel
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align/modeling_align.py:AlignTextModel
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align/modeling_align.py:AlignVisionModel
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align/modeling_align.py:AlignModel
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersPatchEmbeddings
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersEmbeddings
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dinov2_with_registers/modeling_dinov2_with_registers.py:eager_attention_forward
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersSelfAttention
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersSelfOutput
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersAttention
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersLayerScale
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersMLP
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersSwiGLUFFN
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersDropPath
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersLayer
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersPreTrainedModel
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersEncoder
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersModel
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersForImageClassification
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dinov2_with_registers/modeling_dinov2_with_registers.py:Dinov2WithRegistersBackbone
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clvp/modeling_clvp.py:contrastive_loss
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clvp/modeling_clvp.py:speech_text_contrastive_loss
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clvp/modeling_clvp.py:rotate_half
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clvp/modeling_clvp.py:apply_rotary_pos_emb
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clvp/modeling_clvp.py:_pad_extra_bos_eos_tokens
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clvp/modeling_clvp.py:ClvpEncoderOutput
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clvp/modeling_clvp.py:ClvpOutput
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clvp/modeling_clvp.py:ClvpRMSNorm
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clvp/modeling_clvp.py:ClvpRotaryPositionalEmbedding
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clvp/modeling_clvp.py:ClvpSelfAttention
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clvp/modeling_clvp.py:ClvpGatedLinearUnit
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clvp/modeling_clvp.py:ClvpEncoderMLP
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clvp/modeling_clvp.py:ClvpEncoderLayer
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[ "ModelEncoderLayer", "ModelEncoderMLP", "ModelRMSNorm", "ModelSelfAttention", "Module", "_", "__init__", "attention_mask", "class", "config", "def", "embed_dim", "eps", "forward", "hidden_size", "hidden_states", "input_rmsnorm", "kwargs", "layer_norm_eps", "mlp", "nn", "pos...
clvp/modeling_clvp.py:ClvpSequenceSummary
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[ "Dropout", "Identity", "Linear", "ModelSequenceSummary", "Module", "None", "NotImplementedError", "__init__", "activation", "activation_string", "and", "attn", "class", "cls_index", "config", "def", "dim", "dtype", "elif", "else", "expand", "first", "first_dropout", "fo...
clvp/modeling_clvp.py:ClvpDecoderMLP
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clvp/modeling_clvp.py:ClvpDecoderLayer
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[ "False", "LayerNorm", "ModelDecoderLayer", "ModelDecoderMLP", "ModelSelfAttention", "Module", "None", "_", "__init__", "attention_mask", "attn", "class", "config", "def", "else", "eps", "feed_forward_hidden_states", "forward", "hidden_size", "hidden_states", "if", "inner_di...
clvp/modeling_clvp.py:ClvpConditioningEncoder
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clvp/modeling_clvp.py:ClvpPreTrainedModel
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[ "Conv1D", "Conv1d", "Embedding", "Linear", "ModelConditioningEncoder", "ModelConfig", "ModelDecoderLayer", "ModelEncoder", "ModelEncoderLayer", "ModelEncoderMLP", "ModelForCausalLM", "ModelModelForConditionalGeneration", "ModelPreTrainedModel", "ModelRotaryPositionalEmbedding", "ModelSel...
clvp/modeling_clvp.py:ClvpEncoder
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[ "Embedding", "False", "LayerNorm", "Linear", "ModelEncoder", "ModelEncoderConfig", "ModelEncoderLayer", "ModelEncoderOutput", "ModelPreTrainedModel", "ModelRotaryPositionalEmbedding", "ModelSequenceSummary", "ModuleList", "None", "ValueError", "You", "_", "__init__", "arange", "a...
clvp/modeling_clvp.py:ClvpDecoder
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[ "BaseModelOutputWithPastAndCrossAttentions", "Dropout", "DynamicCache", "Embedding", "False", "LayerNorm", "ModelDecoder", "ModelDecoderConfig", "ModelDecoderLayer", "ModelPreTrainedModel", "ModuleList", "None", "ValueError", "You", "__init__", "and", "arange", "attention_mask", ...
clvp/modeling_clvp.py:ClvpModel
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clvp/modeling_clvp.py:ClvpForCausalLM
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[ "CausalLMOutputWithCrossAttentions", "CrossEntropyLoss", "False", "GenerationMixin", "LayerNorm", "Linear", "Make", "ModelDecoderConfig", "ModelForCausalLM", "ModelModel", "ModelPreTrainedModel", "None", "Tensor", "ValueError", "__init__", "_maybe_initialize_input_ids_for_generation", ...
clvp/modeling_clvp.py:ClvpModelForConditionalGeneration
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[ "Either", "False", "Found", "GenerationMixin", "Maximum", "ModelConditioningEncoder", "ModelDecoderConfig", "ModelEncoder", "ModelEncoderConfig", "ModelForCausalLM", "ModelModelForConditionalGeneration", "ModelOutput", "ModelPreTrainedModel", "None", "Parameter", "Please", "True", ...
glm4v_moe/modeling_glm4v_moe.py:repeat_kv
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[ "Model_kv", "None", "batch", "def", "expand", "head_dim", "hidden_states", "if", "n_rep", "num_key_value_heads", "reshape", "return", "shape", "slen" ]
glm4v_moe/modeling_glm4v_moe.py:eager_attention_forward
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[ "Model_attention_forward", "None", "attention_mask", "attn_output", "attn_weights", "contiguous", "def", "dim", "dropout", "dtype", "float32", "functional", "if", "is", "key", "key_states", "kwargs", "matmul", "module", "nn", "not", "num_key_value_groups", "p", "query",...
glm4v_moe/modeling_glm4v_moe.py:rotate_half
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[ "Model_half", "cat", "def", "dim", "return", "shape", "torch", "x", "x1", "x2" ]
glm4v_moe/modeling_glm4v_moe.py:apply_rotary_pos_emb
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glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextAttention
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glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextTopkRouter
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[ "F", "False", "ModelTextTopkRouter", "Module", "Parameter", "True", "__init__", "bool", "class", "config", "def", "denominator", "dim", "dtype", "e_score_correction_bias", "expand", "float", "float32", "forward", "gather", "group_idx", "group_mask", "group_scores", "hid...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextExperts
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[ "ACT2FN", "ModelTextExperts", "Module", "None", "Parameter", "__init__", "act_fn", "chunk", "class", "config", "continue", "current_hidden_states", "current_state", "def", "dim", "down_proj", "dtype", "empty", "expert_hit", "expert_idx", "expert_mask", "final_hidden_states"...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextMoE
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glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextMLP
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glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextRMSNorm
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[ "ModelTextRMSNorm", "Module", "Parameter", "True", "__init__", "class", "def", "dtype", "eps", "extra_repr", "f", "float32", "forward", "hidden_size", "hidden_states", "input_dtype", "keepdim", "mean", "nn", "ones", "pow", "return", "rsqrt", "self", "shape", "super"...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextDecoderLayer
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[ "False", "GradientCheckpointingLayer", "ModelTextAttention", "ModelTextDecoderLayer", "ModelTextMLP", "ModelTextMoE", "ModelTextRMSNorm", "None", "Tensor", "_", "__init__", "attention_mask", "class", "config", "def", "else", "eps", "first_k_dense_replace", "forward", "hidden_si...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoePreTrainedModel
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[ "ModelConfig", "ModelPreTrainedModel", "ModelTextDecoderLayer", "ModelTextExperts", "ModelTextTopkRouter", "ModelVisionBlock", "ModelVisionRotaryEmbedding", "PreTrainedModel", "True", "_can_compile_fullgraph", "_can_record_outputs", "_init_weights", "_keep_in_fp32_modules_strict", "_keys_t...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeCausalLMOutputWithPast
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[ "CausalLMOutputWithPast", "ModelCausalLMOutputWithPast", "None", "aux_loss", "class", "r", "rope_deltas", "router_logits" ]
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeVisionRotaryEmbedding
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[ "False", "ModelVisionRotaryEmbedding", "Module", "Tensor", "__init__", "arange", "class", "def", "dim", "dtype", "flatten", "float", "forward", "inv_freq", "nn", "persistent", "position_ids", "register_buffer", "return", "self", "super", "theta", "torch", "unsqueeze" ]
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeRMSNorm
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[ "ModelRMSNorm", "Module", "Parameter", "True", "__init__", "class", "def", "dtype", "eps", "extra_repr", "f", "float32", "forward", "hidden_size", "hidden_states", "input_dtype", "keepdim", "mean", "nn", "ones", "pow", "return", "rsqrt", "self", "shape", "super", ...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeisionMlp
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[ "ACT2FN", "Linear", "ModelisionMlp", "Module", "__init__", "act_fn", "class", "config", "def", "down_proj", "forward", "gate_proj", "hidden_act", "hidden_size", "hidden_state", "intermediate_size", "nn", "out_hidden_size", "return", "self", "super", "up_proj" ]
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeVisionPatchEmbed
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[ "Conv3d", "ModelVisionPatchEmbed", "Module", "__init__", "class", "config", "def", "dtype", "embed_dim", "forward", "hidden_size", "hidden_states", "in_channels", "kernel_size", "nn", "patch_size", "proj", "return", "self", "stride", "super", "target_dtype", "temporal_pat...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeVisionPatchMerger
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[ "ACT2FN", "GELU", "LayerNorm", "Linear", "ModelVisionPatchMerger", "Module", "__init__", "act1", "act_fn", "class", "context_dim", "def", "dim", "down_proj", "forward", "gate_proj", "hidden_act", "hidden_state", "nn", "post_projection_norm", "proj", "return", "self", "s...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeVisionEmbeddings
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[ "Embedding", "F", "False", "ModelVisionEmbeddings", "Module", "__init__", "adapted_pos_embed", "adapted_pos_embed_fp32", "align_corners", "arange", "bicubic", "border", "class", "config", "cumsum", "def", "device", "dim", "dtype", "embed_dim", "embeddings", "float32", "fo...
glm4v_moe/modeling_glm4v_moe.py:apply_rotary_pos_emb_vision
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[ "Model_rotary_pos_emb_vision", "cos", "def", "dtype", "float", "k", "k_embed", "orig_q_dtype", "q", "q_embed", "return", "rotate_half", "sin", "unsqueeze" ]
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeVisionAttention
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[ "ALL_ATTENTION_FUNCTIONS", "False", "Linear", "ModelVisionAttention", "Module", "None", "Tensor", "_", "__init__", "_attn_implementation", "apply_rotary_pos_emb_vision", "attention_dropout", "attention_interface", "attention_mask", "attn_output", "attn_outputs", "cat", "class", "...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeVisionBlock
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[ "GradientCheckpointingLayer", "ModelRMSNorm", "ModelVisionAttention", "ModelVisionBlock", "ModelisionMlp", "None", "Tensor", "__init__", "attn", "auto_docstring", "class", "config", "cu_seqlens", "def", "eps", "forward", "hidden_size", "hidden_states", "kwargs", "mlp", "norm1...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeVisionModel
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[ "BaseModelOutputWithPooling", "Conv2d", "False", "FutureWarning", "ModelPreTrainedModel", "ModelRMSNorm", "ModelVisionAttention", "ModelVisionBlock", "ModelVisionConfig", "ModelVisionEmbeddings", "ModelVisionModel", "ModelVisionPatchEmbed", "ModelVisionPatchMerger", "ModelVisionRotaryEmbed...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextRotaryEmbedding
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[ "False", "ModelTextRotaryEmbedding", "Module", "None", "ROPE_INIT_FUNCTIONS", "Tensor", "__init__", "and", "apply_mrope", "arange", "attention_factor", "attention_scaling", "base", "cat", "chunk", "chunks", "class", "clone", "compute_default_rope_parameters", "config", "cos",...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeTextModel
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[ "DynamicCache", "Embedding", "False", "ModelPreTrainedModel", "ModelRMSNorm", "ModelTextAttention", "ModelTextConfig", "ModelTextDecoderLayer", "ModelTextModel", "ModelTextRotaryEmbedding", "ModelTextTopkRouter", "ModuleList", "MoeModelOutputWithPast", "None", "OutputRecorder", "ValueE...
glm4v_moe/modeling_glm4v_moe.py:Glm4vMoeModelOutputWithPast
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[ "BaseModelOutputWithPast", "ModelModelOutputWithPast", "None", "class", "r", "rope_deltas", "router_logits" ]