inspector / ir /artifacts /blip.json
lysandre's picture
lysandre HF Staff
Deploy architecture inspector
ed5700a verified
Raw
History Blame Contribute Delete
24.2 kB
{
"architecture": {
"attention_variant": "MHA",
"family": "image_text_to_text",
"is_moe": false,
"mixer": "attention",
"positional": "learned",
"tie_word_embeddings": true,
"towers": [
{
"attention_variant": "MHA",
"config_class": "BlipTextConfig",
"hidden_size": 768,
"name": "text",
"num_attention_heads": 8,
"num_hidden_layers": 12,
"positional": "learned"
},
{
"attention_variant": "MHA",
"config_class": "BlipVisionConfig",
"hidden_size": 768,
"name": "vision",
"num_attention_heads": 12,
"num_hidden_layers": 12
}
],
"view": "multimodal"
},
"capabilities": {
"attention_backends": [
"eager"
],
"attention_patterns": [
"causal"
],
"attention_schedule": null,
"task_heads": [
"image_text_to_text",
"multimodal_lm",
"visual_question_answering",
"zero_shot_image_classification"
],
"tensor_parallel": false
},
"components": [
{
"children": [
"text_model",
"vision_model",
"visual_projection",
"text_projection"
],
"class_name": "BlipModel",
"id": "model",
"kind": "model",
"path_pattern": "model"
},
{
"children": [
"text_model.embeddings",
"text_model.encoder",
"text_model.pooler"
],
"class_name": "BlipTextModel",
"id": "text_model",
"kind": "model",
"path_pattern": "model.text_model"
},
{
"attributes": {
"embedding_dim": "config.hidden_size",
"num_embeddings": "config.vocab_size"
},
"children": [
"text_model.embeddings.word_embeddings",
"text_model.embeddings.position_embeddings",
"text_model.embeddings.LayerNorm"
],
"class_name": "BlipTextEmbeddings",
"id": "text_model.embeddings",
"kind": "embedding",
"path_pattern": "model.text_model.embeddings"
},
{
"attributes": {
"embedding_dim": "config.hidden_size",
"num_embeddings": "config.vocab_size",
"tied_lm_head": true
},
"class_name": "Embedding",
"id": "text_model.embeddings.word_embeddings",
"kind": "embedding",
"path_pattern": "model.text_model.embeddings.word_embeddings"
},
{
"attributes": {
"max_position_embeddings": "config.max_position_embeddings",
"scheme": "learned"
},
"class_name": "Embedding",
"id": "text_model.embeddings.position_embeddings",
"kind": "position",
"path_pattern": "model.text_model.embeddings.position_embeddings"
},
{
"attributes": {
"norm_type": "layer"
},
"class_name": "LayerNorm",
"id": "text_model.embeddings.LayerNorm",
"kind": "normalization",
"path_pattern": "model.text_model.embeddings.LayerNorm"
},
{
"children": [
"encoder_layers"
],
"class_name": "BlipTextEncoder",
"id": "text_model.encoder",
"kind": "encoder",
"path_pattern": "model.text_model.encoder"
},
{
"class_name": "BlipTextPooler",
"id": "text_model.pooler",
"kind": "pooler",
"path_pattern": "model.text_model.pooler"
},
{
"children": [
"vision_model.embeddings",
"vision_model.encoder",
"vision_model.post_layernorm"
],
"class_name": "BlipVisionModel",
"id": "vision_model",
"kind": "model",
"path_pattern": "model.vision_model"
},
{
"attributes": {
"embedding_dim": "config.hidden_size"
},
"children": [
"vision_model.embeddings.patch_embedding"
],
"class_name": "BlipVisionEmbeddings",
"id": "vision_model.embeddings",
"kind": "embedding",
"path_pattern": "model.vision_model.embeddings"
},
{
"class_name": "Conv2d",
"id": "vision_model.embeddings.patch_embedding",
"kind": "convolution",
"path_pattern": "model.vision_model.embeddings.patch_embedding"
},
{
"children": [
"encoder_layer_2s"
],
"class_name": "BlipEncoder",
"id": "vision_model.encoder",
"kind": "encoder",
"path_pattern": "model.vision_model.encoder"
},
{
"attributes": {
"norm_type": "layer"
},
"class_name": "LayerNorm",
"id": "vision_model.post_layernorm",
"kind": "normalization",
"path_pattern": "model.vision_model.post_layernorm"
},
{
"attributes": {
"in_features": "config.hidden_size",
"out_features": 512
},
"class_name": "Linear",
"id": "visual_projection",
"kind": "projection",
"path_pattern": "model.visual_projection"
},
{
"attributes": {
"in_features": 768,
"out_features": 512
},
"class_name": "Linear",
"id": "text_projection",
"kind": "projection",
"path_pattern": "model.text_projection"
}
],
"config": {
"class_name": "BlipConfig",
"model_type": "blip",
"module": "transformers.models.blip.configuration_blip",
"referenced_fields": {},
"salient_fields": {
"is_encoder_decoder": false,
"tie_word_embeddings": true
}
},
"dataflow": {
"input": {
"name": "input_ids",
"shape": [
"B",
"S"
]
},
"output": {
"shape": [
"B",
1
]
},
"shapes": {
"encoder_layer.attention": {
"in": [
"B",
"S",
768
],
"out": [
"B",
"S",
768
]
},
"encoder_layer.intermediate": {
"in": [
"B",
"S",
768
],
"out": [
"B",
"S",
3072
]
},
"encoder_layer.output": {
"in": [
"B",
"S",
3072
],
"out": [
"B",
"S",
768
]
},
"encoder_layer_2.layer_norm1": {
"in": [
"B",
577,
768
],
"out": [
"B",
577,
768
]
},
"encoder_layer_2.layer_norm2": {
"in": [
"B",
577,
768
],
"out": [
"B",
577,
768
]
},
"encoder_layer_2.mlp": {
"in": [
"B",
577,
768
],
"out": [
"B",
577,
768
]
},
"encoder_layer_2.self_attn": {
"in": null,
"out": [
"B",
577,
768
]
},
"text_model": {
"in": null,
"out": [
"B",
"S",
768
]
},
"text_projection": {
"in": [
"B",
768
],
"out": [
"B",
512
]
},
"vision_model": {
"in": null,
"out": [
"B",
577,
768
]
},
"visual_projection": {
"in": [
"B",
768
],
"out": [
"B",
512
]
}
},
"source": "observed_forward_meta"
},
"edges": [
{
"kind": "data",
"source": "text_model",
"target": "vision_model"
},
{
"kind": "data",
"source": "text_model.embeddings",
"target": "text_model.encoder"
},
{
"kind": "data",
"source": "text_model.encoder",
"target": "text_model.pooler"
},
{
"kind": "data",
"source": "text_model.embeddings.word_embeddings",
"target": "text_model.embeddings.LayerNorm"
},
{
"kind": "data",
"source": "encoder_layer.attention",
"target": "encoder_layer.crossattention"
},
{
"kind": "data",
"source": "encoder_layer.crossattention",
"target": "encoder_layer.intermediate"
},
{
"kind": "data",
"source": "encoder_layer.crossattention.self",
"target": "encoder_layer.crossattention.output"
},
{
"kind": "data",
"source": "vision_model.embeddings",
"target": "vision_model.encoder"
},
{
"kind": "data",
"source": "vision_model.encoder",
"target": "vision_model.post_layernorm"
},
{
"kind": "mask",
"source": "input:attention_mask",
"target": "encoder_layer.attention"
},
{
"kind": "mask",
"source": "input:attention_mask",
"target": "encoder_layer.attention.self"
},
{
"kind": "mask",
"source": "input:attention_mask",
"target": "encoder_layer.crossattention"
},
{
"kind": "mask",
"source": "input:attention_mask",
"target": "encoder_layer.crossattention.self"
},
{
"kind": "mask",
"source": "input:attention_mask",
"target": "encoder_layer.crossattention.output"
},
{
"kind": "mask",
"source": "input:attention_mask",
"target": "encoder_layer.crossattention.output.LayerNorm"
},
{
"kind": "mask",
"source": "input:attention_mask",
"target": "encoder_layer_2.self_attn"
},
{
"kind": "residual",
"source": "encoder_layer",
"target": "encoder_layer.attention"
},
{
"kind": "residual",
"source": "encoder_layer",
"target": "encoder_layer.crossattention"
},
{
"kind": "residual",
"source": "encoder_layer",
"target": "encoder_layer.intermediate"
},
{
"kind": "residual",
"source": "encoder_layer_2",
"target": "encoder_layer_2.self_attn"
},
{
"kind": "residual",
"source": "encoder_layer_2",
"target": "encoder_layer_2.mlp"
},
{
"kind": "position",
"source": "text_model.embeddings.position_embeddings",
"target": "text_model.embeddings"
},
{
"kind": "cross_attention",
"source": "text_model.encoder",
"target": "encoder_layer.crossattention"
},
{
"kind": "cross_attention",
"source": "text_model.encoder",
"target": "encoder_layer.crossattention.self"
},
{
"kind": "cross_attention",
"source": "text_model.encoder",
"target": "encoder_layer.crossattention.output"
},
{
"kind": "cross_attention",
"source": "text_model.encoder",
"target": "encoder_layer.crossattention.output.LayerNorm"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer.attention.self",
"target": "encoder_layer.attention.self.query"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer.attention.self",
"target": "encoder_layer.attention.self.key"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer.attention.self",
"target": "encoder_layer.attention.self.value"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer.intermediate",
"target": "encoder_layer.intermediate.dense"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer.output",
"target": "encoder_layer.output.dense"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer_2.self_attn",
"target": "encoder_layer_2.self_attn.qkv"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer_2.self_attn",
"target": "encoder_layer_2.self_attn.projection"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer_2.mlp",
"target": "encoder_layer_2.mlp.fc1"
},
{
"kind": "data",
"provenance": "intra_module",
"source": "encoder_layer_2.mlp.fc1",
"target": "encoder_layer_2.mlp.fc2"
},
{
"kind": "data",
"provenance": "observed_forward",
"source": "encoder_layer.attention",
"target": "encoder_layer.intermediate"
},
{
"kind": "data",
"provenance": "observed_forward",
"source": "encoder_layer.intermediate",
"target": "encoder_layer.output"
},
{
"kind": "data",
"provenance": "observed_forward",
"source": "encoder_layer_2.layer_norm1",
"target": "encoder_layer_2.self_attn"
},
{
"kind": "data",
"provenance": "observed_forward",
"source": "encoder_layer_2.self_attn",
"target": "encoder_layer_2.layer_norm2"
},
{
"kind": "data",
"provenance": "observed_forward",
"source": "encoder_layer_2.layer_norm2",
"target": "encoder_layer_2.mlp"
},
{
"kind": "data",
"provenance": "observed_forward",
"source": "vision_model",
"target": "text_model"
},
{
"kind": "data",
"provenance": "observed_forward",
"source": "text_model",
"target": "visual_projection"
},
{
"kind": "data",
"provenance": "observed_forward",
"source": "visual_projection",
"target": "text_projection"
}
],
"extends": null,
"model_type": "blip",
"provenance": {
"config_class": "BlipConfig",
"config_module": "transformers.models.blip.configuration_blip",
"model_class": "BlipModel",
"model_module": "transformers.models.blip.modeling_blip"
},
"repeats": [
{
"body": "encoder_layer",
"container_path_pattern": "model.text_model.encoder.layer",
"count": 12,
"count_expr": "12",
"count_source": "module_tree",
"id": "encoder_layers",
"index_symbol": "i",
"item_path_pattern": "model.text_model.encoder.layer.{i}",
"kind": "symbolic_repeat",
"provenance": {
"class_name": "BlipTextLayer",
"container_path_pattern": "model.text_model.encoder.layer",
"item_path_pattern": "model.text_model.encoder.layer.{i}",
"source": "module_tree_repeat_collapse"
},
"repeated_class_name": "BlipTextLayer"
},
{
"body": "encoder_layer_2",
"container_path_pattern": "model.vision_model.encoder.layers",
"count": 12,
"count_expr": "12",
"count_source": "module_tree",
"id": "encoder_layer_2s",
"index_symbol": "i",
"item_path_pattern": "model.vision_model.encoder.layers.{i}",
"kind": "symbolic_repeat",
"provenance": {
"class_name": "BlipEncoderLayer",
"container_path_pattern": "model.vision_model.encoder.layers",
"item_path_pattern": "model.vision_model.encoder.layers.{i}",
"source": "module_tree_repeat_collapse"
},
"repeated_class_name": "BlipEncoderLayer"
}
],
"schema_version": "architecture-template-v0",
"templates": [
{
"children": [
"encoder_layer.attention",
"encoder_layer.crossattention",
"encoder_layer.intermediate",
"encoder_layer.output"
],
"class_name": "BlipTextLayer",
"id": "encoder_layer",
"kind": "transformer_block",
"path_pattern": "model.text_model.encoder.layer.{i}"
},
{
"attributes": {
"head_dim": 96,
"n_heads": 8,
"n_kv_heads": 8,
"rope": false,
"variant": "MHA"
},
"children": [
"encoder_layer.attention.self",
"encoder_layer.attention.output"
],
"class_name": "BlipTextAttention",
"id": "encoder_layer.attention",
"kind": "attention",
"path_pattern": "model.text_model.encoder.layer.{i}.attention"
},
{
"attributes": {
"head_dim": 96,
"n_heads": 8,
"n_kv_heads": 8,
"rope": false,
"variant": "MHA"
},
"children": [
"encoder_layer.attention.self.query",
"encoder_layer.attention.self.key",
"encoder_layer.attention.self.value"
],
"class_name": "BlipTextSelfAttention",
"id": "encoder_layer.attention.self",
"kind": "attention",
"path_pattern": "model.text_model.encoder.layer.{i}.attention.self"
},
{
"attributes": {
"in_features": "config.hidden_size",
"out_features": "config.hidden_size"
},
"class_name": "Linear",
"id": "encoder_layer.attention.self.query",
"kind": "projection",
"path_pattern": "model.text_model.encoder.layer.{i}.attention.self.query"
},
{
"attributes": {
"in_features": "config.hidden_size",
"out_features": "config.hidden_size"
},
"class_name": "Linear",
"id": "encoder_layer.attention.self.key",
"kind": "projection",
"path_pattern": "model.text_model.encoder.layer.{i}.attention.self.key"
},
{
"attributes": {
"in_features": "config.hidden_size",
"out_features": "config.hidden_size"
},
"class_name": "Linear",
"id": "encoder_layer.attention.self.value",
"kind": "projection",
"path_pattern": "model.text_model.encoder.layer.{i}.attention.self.value"
},
{
"children": [
"encoder_layer.attention.output.LayerNorm"
],
"class_name": "BlipTextSelfOutput",
"id": "encoder_layer.attention.output",
"kind": "module",
"path_pattern": "model.text_model.encoder.layer.{i}.attention.output"
},
{
"attributes": {
"norm_type": "layer"
},
"class_name": "LayerNorm",
"id": "encoder_layer.attention.output.LayerNorm",
"kind": "normalization",
"path_pattern": "model.text_model.encoder.layer.{i}.attention.output.LayerNorm"
},
{
"attributes": {
"head_dim": 96,
"n_heads": 8,
"n_kv_heads": 8,
"rope": false,
"variant": "MHA"
},
"children": [
"encoder_layer.crossattention.self",
"encoder_layer.crossattention.output"
],
"class_name": "BlipTextAttention",
"id": "encoder_layer.crossattention",
"kind": "cross_attention",
"path_pattern": "model.text_model.encoder.layer.{i}.crossattention"
},
{
"attributes": {
"head_dim": 96,
"n_heads": 8,
"n_kv_heads": 8,
"rope": false,
"variant": "MHA"
},
"class_name": "BlipTextSelfAttention",
"id": "encoder_layer.crossattention.self",
"kind": "cross_attention",
"path_pattern": "model.text_model.encoder.layer.{i}.crossattention.self"
},
{
"attributes": {
"head_dim": 96,
"n_heads": 8,
"n_kv_heads": 8,
"rope": false,
"variant": "MHA"
},
"children": [
"encoder_layer.crossattention.output.LayerNorm"
],
"class_name": "BlipTextSelfOutput",
"id": "encoder_layer.crossattention.output",
"kind": "cross_attention",
"path_pattern": "model.text_model.encoder.layer.{i}.crossattention.output"
},
{
"attributes": {
"head_dim": 96,
"n_heads": 8,
"n_kv_heads": 8,
"rope": false,
"variant": "MHA"
},
"class_name": "LayerNorm",
"id": "encoder_layer.crossattention.output.LayerNorm",
"kind": "cross_attention",
"path_pattern": "model.text_model.encoder.layer.{i}.crossattention.output.LayerNorm"
},
{
"attributes": {
"activation": "gelu",
"hidden_size": 768,
"intermediate_size": 3072
},
"children": [
"encoder_layer.intermediate.dense"
],
"class_name": "BlipTextIntermediate",
"id": "encoder_layer.intermediate",
"kind": "feed_forward",
"path_pattern": "model.text_model.encoder.layer.{i}.intermediate"
},
{
"attributes": {
"in_features": "config.hidden_size",
"out_features": "config.intermediate_size"
},
"class_name": "Linear",
"id": "encoder_layer.intermediate.dense",
"kind": "projection",
"path_pattern": "model.text_model.encoder.layer.{i}.intermediate.dense"
},
{
"attributes": {
"activation": "gelu",
"hidden_size": 768,
"intermediate_size": 3072
},
"children": [
"encoder_layer.output.dense",
"encoder_layer.output.LayerNorm"
],
"class_name": "BlipTextOutput",
"id": "encoder_layer.output",
"kind": "feed_forward",
"path_pattern": "model.text_model.encoder.layer.{i}.output"
},
{
"attributes": {
"in_features": "config.intermediate_size",
"out_features": "config.hidden_size"
},
"class_name": "Linear",
"id": "encoder_layer.output.dense",
"kind": "projection",
"path_pattern": "model.text_model.encoder.layer.{i}.output.dense"
},
{
"attributes": {
"norm_type": "layer"
},
"class_name": "LayerNorm",
"id": "encoder_layer.output.LayerNorm",
"kind": "normalization",
"path_pattern": "model.text_model.encoder.layer.{i}.output.LayerNorm"
},
{
"children": [
"encoder_layer_2.self_attn",
"encoder_layer_2.layer_norm1",
"encoder_layer_2.mlp",
"encoder_layer_2.layer_norm2"
],
"class_name": "BlipEncoderLayer",
"id": "encoder_layer_2",
"kind": "transformer_block",
"path_pattern": "model.vision_model.encoder.layers.{i}"
},
{
"attributes": {
"head_dim": 64,
"n_heads": 12,
"n_kv_heads": 12,
"rope": false,
"variant": "MHA"
},
"children": [
"encoder_layer_2.self_attn.qkv",
"encoder_layer_2.self_attn.projection"
],
"class_name": "BlipAttention",
"id": "encoder_layer_2.self_attn",
"kind": "attention",
"path_pattern": "model.vision_model.encoder.layers.{i}.self_attn"
},
{
"attributes": {
"in_features": "config.hidden_size",
"out_features": 2304
},
"class_name": "Linear",
"id": "encoder_layer_2.self_attn.qkv",
"kind": "projection",
"path_pattern": "model.vision_model.encoder.layers.{i}.self_attn.qkv"
},
{
"attributes": {
"in_features": "config.hidden_size",
"out_features": "config.hidden_size"
},
"class_name": "Linear",
"id": "encoder_layer_2.self_attn.projection",
"kind": "projection",
"path_pattern": "model.vision_model.encoder.layers.{i}.self_attn.projection"
},
{
"attributes": {
"norm_type": "layer"
},
"class_name": "LayerNorm",
"id": "encoder_layer_2.layer_norm1",
"kind": "normalization",
"path_pattern": "model.vision_model.encoder.layers.{i}.layer_norm1"
},
{
"attributes": {
"activation": "gelu",
"hidden_size": 768,
"intermediate_size": 3072
},
"children": [
"encoder_layer_2.mlp.fc1",
"encoder_layer_2.mlp.fc2"
],
"class_name": "BlipMLP",
"id": "encoder_layer_2.mlp",
"kind": "feed_forward",
"path_pattern": "model.vision_model.encoder.layers.{i}.mlp"
},
{
"attributes": {
"in_features": "config.hidden_size",
"out_features": "config.intermediate_size"
},
"class_name": "Linear",
"id": "encoder_layer_2.mlp.fc1",
"kind": "projection",
"path_pattern": "model.vision_model.encoder.layers.{i}.mlp.fc1"
},
{
"attributes": {
"in_features": "config.intermediate_size",
"out_features": "config.hidden_size"
},
"class_name": "Linear",
"id": "encoder_layer_2.mlp.fc2",
"kind": "projection",
"path_pattern": "model.vision_model.encoder.layers.{i}.mlp.fc2"
},
{
"attributes": {
"norm_type": "layer"
},
"class_name": "LayerNorm",
"id": "encoder_layer_2.layer_norm2",
"kind": "normalization",
"path_pattern": "model.vision_model.encoder.layers.{i}.layer_norm2"
}
]
}