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"source": "https://github.com/lutzroeder/netron/files/3748989/blitz_neural_networks_tutorial.zip[blitz_neural_networks_tutorial.pt]", "format": "TorchScript v1.3", "link": "https://github.com/lutzroeder/netron/issues/281" }, { "type": "pytorch", "target": "blitz_neural_networks_tutorial_traced.pt", "source": "https://github.com/lutzroeder/netron/files/3748989/blitz_neural_networks_tutorial.zip[blitz_neural_networks_tutorial_traced.pt]", "format": "TorchScript v1.3", "link": "https://github.com/lutzroeder/netron/issues/281" }, { "type": "pytorch", "target": "boolean.pkl.pth", "source": "https://github.com/lutzroeder/netron/files/5435851/boolean.zip[boolean.pkl.pth]", "format": "PyTorch v0.1.10", "link": "https://github.com/lutzroeder/netron/issues/720" }, { "type": "pytorch", "target": "boolean.zip.pth", "source": "https://github.com/lutzroeder/netron/files/5435851/boolean.zip[boolean.pkl.pth]", "format": "PyTorch v0.1.10", "link": "https://github.com/lutzroeder/netron/issues/720" }, { "type": "pytorch", "target": "best.pt", "source": "https://github.com/user-attachments/files/16401547/best.pt.zip[best.pt]", "format": "PyTorch v1.6", "link": "https://github.com/lutzroeder/netron/issues/543" }, { "type": "pytorch", "target": "binop.pt", "source": "https://github.com/user-attachments/files/22703318/binop.pt.zip[binop.pt]", "format": "TorchScript v1.6", "link": "https://github.com/lutzroeder/netron/issues/842" }, { "type": "pytorch", "target": "cloudpickle.pth", "source": "https://github.com/user-attachments/files/17882209/cloudpickle.pth.zip[cloudpickle.pth]", "format": "PyTorch v1.6", "link": "https://github.com/lutzroeder/netron/issues/720" }, { "type": "pytorch", "target": "coco128-yolov8n-seg_output.torchscript.ptl", "source": "https://github.com/user-attachments/files/16091260/coco128-yolov8n-seg_output.torchscript.ptl.zip[coco128-yolov8n-seg_output.torchscript.ptl]", "format": "TorchScript v1.6", "assert": "model.modules[0].nodes[0].inputs[1].value.type.name == 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"https://github.com/lutzroeder/netron/issues/281" }, { "type": "pytorch", "target": "r3d_18.zip.pth", "source": "https://github.com/lutzroeder/netron/files/6096655/r3d_18.zip.pth.zip[r3d_18.zip.pth]", "format": "PyTorch v1.6", "link": "https://github.com/lutzroeder/netron/issues/133" }, { "type": "pytorch", "target": "rcnn.pt", "source": "https://github.com/lutzroeder/netron/files/9035740/rcnn.pt.zip[rcnn.pt]", "link": "https://github.com/lutzroeder/netron/issues/842" }, { "type": "pytorch", "target": "refine_model.pt", "source": "https://github.com/lutzroeder/netron/files/6186158/refine_model.pt.zip[refine_model.pt]", "format": "TorchScript v1.3", "link": "https://github.com/lutzroeder/netron/issues/281" }, { "type": "pytorch", "target": "resnet-18-at-export.pth", "source": "https://s3.amazonaws.com/modelzoo-networks/resnet-18-at-export.pth", "format": "PyTorch v0.1.10", "assert": "model.modules[0].nodes.length == 27", "link": "https://github.com/szagoruyko/attention-transfer" }, { 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{ "type": "pytorch", "target": "resnet18.ot", "source": "https://github.com/lutzroeder/netron/files/7664092/resnet18.ot.zip[resnet18.ot]", "format": "TorchScript v1.0", "assert": "model.modules[0].nodes[0].inputs[0].value[0].name == 'conv1|weight'", "link": "https://github.com/lutzroeder/netron/issues/686" }, { "type": "pytorch", "target": "resnet18.pt", "source": "https://github.com/lutzroeder/netron/files/5212015/resnet18.zip[resnet18.pt]", "format": "TorchScript v1.6", "assert": "model.modules[0].nodes[1].inputs[1].value.inputs[5].value == 1", "link": "https://github.com/lutzroeder/netron/issues/559" }, { "type": "pytorch", "target": "resnet18.pt2", "source": "https://github.com/lutzroeder/netron/files/13855229/resnet18.pt2.zip[resnet18.pt2]", "format": "PyTorch Export v1", "link": "https://github.com/lutzroeder/netron/issues/1211" }, { "type": "pytorch", "target": "resnet18_cifar10_quantized.pt", "source": "https://github.com/user-attachments/files/16401717/resnet18_cifar10_quantized.pt.zip[resnet18_cifar10_quantized.pt]", "format": "PyTorch v1.6", "assert": "model.modules[0].nodes.length == 50", "link": "https://github.com/lutzroeder/netron/issues/543" }, { "type": "pytorch", "target": "resnet18_fbgemm_16fa66dd.pth", "source": "https://download.pytorch.org/models/quantized/resnet18_fbgemm_16fa66dd.pth", "format": "PyTorch v0.1.10", "link": "https://github.com/pytorch/vision/blob/master/torchvision/models/quantization/resnet.py" }, { "type": "pytorch", "target": "resnet18_fx_graph_mode_quantized.pth", "source": "https://github.com/lutzroeder/netron/files/6716842/resnet18_fx_graph_mode_quantized.pth.zip[resnet18_fx_graph_mode_quantized.pth]", "format": "TorchScript v1.6", "link": "https://github.com/lutzroeder/netron/issues/758" }, { "type": "pytorch", "target": "resnet18_large_blocks.pth", "source": 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"https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py" }, { "type": "pytorch", "target": "resnet50_pertensor.pt", "source": "https://github.com/lutzroeder/netron/files/5212006/resnet50_pertensor.zip[resnet50_pertensor.pt]", "format": "TorchScript v1.5", "assert": "model.modules[0].nodes[7].inputs[3].value[1] == 3", "link": "https://github.com/lutzroeder/netron/issues/842" }, { "type": "pytorch", "target": "resnet50_tucker.pth", "source": "https://raw.githubusercontent.com/larry0123du/Decompose-CNN/master/models/resnet50_tucker.pth", "format": "PyTorch v0.1.10", "link": "https://github.com/larry0123du/Decompose-CNN" }, { "type": "pytorch", "target": "resnet50_tucker_state.pth", "source": "https://raw.githubusercontent.com/larry0123du/Decompose-CNN/master/models/resnet50_tucker_state.pth", "format": "PyTorch v0.1.10", "link": "https://github.com/larry0123du/Decompose-CNN" }, { "type": "pytorch", "target": "rng_state.pth", "source": "https://github.com/user-attachments/files/16401709/rng_state.pth.zip[rng_state.pth]", "format": "PyTorch v1.6", "assert": "model.modules[0].nodes[0].inputs[1].name == 'numpy'", "link": "https://github.com/lutzroeder/netron/issues/543" }, { "type": "pytorch", "target": "rpn_model.pt", "source": "https://github.com/lutzroeder/netron/files/6186159/rpn_model.pt.zip[rpn_model.pt]", "format": "TorchScript v1.3", "link": "https://github.com/lutzroeder/netron/issues/281" }, { "type": "pytorch", "target": "rvm_mobilenetv3_fp16.torchscript", "source": "https://github.com/PeterL1n/RobustVideoMatting/releases/download/v1.0.0/rvm_mobilenetv3_fp16.torchscript", "format": "TorchScript v1.6", "link": "https://github.com/PeterL1n/RobustVideoMatting" }, { "type": "pytorch", "target": "scriptmodule.ff", "source": "https://github.com/lutzroeder/netron/files/10230651/scriptmodule.ff.zip[scriptmodule.ff]", "format": "PyTorch Mobile v1.11", "link": "https://github.com/lutzroeder/netron/issues/1023" }, { "type": "pytorch", "target": "s2a-q4-small-en+pl.model", "source": "https://github.com/user-attachments/files/16401714/s2a-q4-small-en%2Bpl.model.zip[s2a-q4-small-en+pl.model]", "format": "PyTorch v1.6", "assert": "model.modules[0].nodes[0].inputs[2].value.type.nodes.length == 340", "link": "https://github.com/lutzroeder/netron/issues/543" }, { "type": "pytorch", "target": "segmentor.pt", "source": "https://github.com/lutzroeder/netron/files/7663953/segmentor.pt.zip[segmentor.pt]", "format": "PyTorch v1.6", "assert": "model.modules[0].nodes[0].inputs[0].value[0].inputs[0].value[0].type.name == '__torch__.___torch_mangle_1.Module'", "link": "https://github.com/lutzroeder/netron/issues/686" }, { "type": "pytorch", "target": "SiamFC_50_model.pth", "source": "https://raw.githubusercontent.com/HengLan/SiamFC-PyTorch/master/Train/model/SiamFC_50_model.pth", "format": "PyTorch v0.1.10", "link": "https://github.com/HengLan/SiamFC-PyTorch" }, { "type": "pytorch", "target": "silero_vad.jit", "source": "https://github.com/lutzroeder/netron/files/12439374/silero_vad.zip[silero_vad.jit]", "link": "https://github.com/lutzroeder/netron/issues/1142" }, { "type": "pytorch", "target": "simple_leaf_fx.pt", "source": "https://github.com/lutzroeder/netron/files/12839399/simple_leaf_fx.pt.zip[simple_leaf_fx.pt]", "format": "PyTorch Package v1.9", "link": "https://github.com/lutzroeder/netron/issues/928" }, { "type": "pytorch", "target": "shufflenet_v2_x1_0.zip.pth", "source": "https://github.com/lutzroeder/netron/files/6096673/shufflenet_v2_x1_0.zip.pth.zip[shufflenet_v2_x1_0.zip.pth]", "format": "PyTorch v1.6", "link": "https://github.com/lutzroeder/netron/issues/133" }, { "type": "pytorch", "target": "shufflenet_v2_x1_0.pt", "source": "https://github.com/lutzroeder/netron/files/6096671/shufflenet_v2_x1_0.pt.zip[shufflenet_v2_x1_0.pt]", "format": "TorchScript v1.6", "link": "https://github.com/lutzroeder/netron/issues/281" }, { "type": "pytorch", "target": 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"type": "pytorch", "target": "stable_diffusion_unet.pt", "source": "https://github.com/lutzroeder/netron/files/10199037/stable_diffusion.zip[stable_diffusion_unet.pt]", "format": "TorchScript v1.12", "tags": "skip-render,skip-tensor-value", "link": "https://github.com/lutzroeder/netron/issues/842" }, { "type": "pytorch", "target": "stable_diffusion_vae_decoder.pt", "source": "https://github.com/lutzroeder/netron/files/10199037/stable_diffusion.zip[stable_diffusion_vae_decoder.pt]", "format": "TorchScript v1.6", "tags": "skip-tensor-value", "link": "https://github.com/lutzroeder/netron/issues/842" }, { "type": "pytorch", "target": "stitching_retargeting_module.pth", "source": "https://github.com/user-attachments/files/16482907/stitching_retargeting_module.pth.zip[stitching_retargeting_module.pth]", "format": "PyTorch v1.6", "link": "https://github.com/lutzroeder/netron/issues/543" }, { "type": "pytorch", "target": "superpoint.pt", "source": 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Unexpected end of file.", "link": "https://github.com/lutzroeder/netron/issues/720" }, { "type": "pytorch", "target": "TestSerialization.test_lstm.traced.pt", "source": "https://github.com/user-attachments/files/16121906/TestSerialization.test_lstm.traced.pt.zip[TestSerialization.test_lstm.traced.pt]", "format": "TorchScript v1.6", "assert": "model.modules[0].nodes[4].inputs[2].value[0].inputs[0].value == 'quantized_dynamic'", "link": "https://github.com/lutzroeder/netron/issues/842" }, { "type": "pytorch", "target": "TFModel_traced_eager_quant.pt", "source": "https://github.com/lutzroeder/netron/files/10867120/TFModel_traced_eager_quant.pt.zip[TFModel_traced_eager_quant.pt]", "format": "TorchScript v1.6", "assert": "model.modules[0].nodes.length == 46", "link": "https://github.com/lutzroeder/netron/issues/842" }, { "type": "pytorch", "target": "torch_fx_sample.pt", "source": "https://github.com/lutzroeder/netron/files/12889841/torch_fx_sample.pt.zip[torch_fx_sample.pt]", "format": 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