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Update graph_net.json of HuggingFace transformers models (#247)
* CONTRIBUTE_TUTORIAL_cn.md * Handle big int tensors by converting to sparse COO * Update utils * Update utils * Update utils * Update utils * Update utils * Update paddle test compiler * Add compilation_duration display * resolve conflict * Feat: generate violin figure (benchmark) * revert file * cn->en * Update Analysis * Update * Update * Update * Update * Update * Update * Update * Update * Update * add annotation * Optimized structure, add e2e time * Record 2 types of speedup * update analysis * Update * Update * Update CI * Feat: Record model name & Update config * Update graph_net.json of transformers models * Update * Update * Update
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‎graph_net/torch/extractor.py‎

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@@ -70,6 +70,7 @@ def try_rename_placeholder(node):
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": bool(dynamic),
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"model_name": name,
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}
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with open(os.path.join(model_path, "graph_net.json"), "w") as f:
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json.dump(metadata, f, indent=4)

‎samples/transformers-auto-model/42dot_LLM-SFT-1.3B/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "42dot/42dot_LLM-SFT-1.3B",
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"source": "huggingface_hub",
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"original_tag": [
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"transformers",
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"pytorch",
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"safetensors",
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"llama",
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"text-generation",
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"causal-lm",
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"42dot_llm",
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"en",
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"ko",
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"license:cc-by-nc-4.0",
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"autotrain_compatible",
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"text-generation-inference",
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"endpoints_compatible",
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"region:us"
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]
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}

‎samples/transformers-auto-model/907508196l_wavlm-libri-clean-100h-base-plus-finetuned-ks/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "907508196l/wavlm-libri-clean-100h-base-plus-finetuned-ks",
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"source": "huggingface_hub",
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"original_tag": [
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"transformers",
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"pytorch",
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"tensorboard",
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"wavlm",
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"audio-classification",
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"endpoints_compatible",
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"region:us"
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]
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}

‎samples/transformers-auto-model/AI-Nordics_bert-large-swedish-cased/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "AI-Nordics/bert-large-swedish-cased",
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"source": "huggingface_hub",
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"original_tag": [
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"transformers",
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"pytorch",
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"megatron-bert",
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"fill-mask",
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"sv",
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"autotrain_compatible",
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"endpoints_compatible",
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"region:us"
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]
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}

‎samples/transformers-auto-model/AK_ak_nlp/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "AK/ak_nlp",
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"source": "huggingface_hub",
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"original_tag": [
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"transformers",
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"pytorch",
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"jax",
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"roberta",
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"fill-mask",
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"autotrain_compatible",
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"endpoints_compatible",
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"region:us"
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]
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}

‎samples/transformers-auto-model/ALINEAR_albert-japanese-v2/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "ALINEAR/albert-japanese-v2",
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"source": "huggingface_hub",
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"original_tag": [
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"transformers",
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"pytorch",
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"albert",
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"fill-mask",
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"autotrain_compatible",
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"endpoints_compatible",
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"region:us"
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]
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}

‎samples/transformers-auto-model/ALINEAR_albert-japanese/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "ALINEAR/albert-japanese",
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"source": "huggingface_hub",
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"original_tag": [
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"transformers",
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"pytorch",
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"albert",
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"fill-mask",
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"autotrain_compatible",
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"endpoints_compatible",
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"region:us"
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]
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}

‎samples/transformers-auto-model/ARTeLab_it5-summarization-fanpage-64/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "ARTeLab/it5-summarization-fanpage-64",
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"source": "huggingface_hub",
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"original_tag": [
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"transformers",
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"pytorch",
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"t5",
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"text2text-generation",
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"summarization",
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"it",
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"dataset:ARTeLab/fanpage",
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"text-generation-inference",
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"endpoints_compatible",
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"region:us"
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]
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}

‎samples/transformers-auto-model/AVSilva_bertimbau-large-fine-tuned-md/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "AVSilva/bertimbau-large-fine-tuned-md",
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"source": "huggingface_hub",
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"original_tag": [
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"transformers",
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"pytorch",
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"bert",
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"fill-mask",
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"generated_from_trainer",
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"license:mit",
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"autotrain_compatible",
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"endpoints_compatible",
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"region:us"
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]
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}

‎samples/transformers-auto-model/AceInstruct-1.5B/graph_net.json‎

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"framework": "torch",
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"num_devices_required": 1,
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"num_nodes_required": 1,
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"dynamic": false
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"dynamic": false,
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"model_name": "nvidia/AceInstruct-1.5B",
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"source": "huggingface_hub",
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"original_tag": [
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"safetensors",
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"qwen2",
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"nvidia",
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"AceInstruct",
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"code",
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"math",
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"general_domain",
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"instruct_model",
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"pytorch",
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"text-generation",
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"conversational",
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"en",
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"arxiv:2412.15084",
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"license:cc-by-nc-4.0",
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"region:us"
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]
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}

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