Functions — github.com/NVIDIA-AI-IOT/Lidar_AI

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Functions578 in github.com/NVIDIA-AI-IOT/Lidar_AI_Solution

⨍ Functions 578◇ Types & classes 103↳ Endpoints 2

Method__getattribute__

(self, name: str)

CUDA-V2XFusion/scripts/tinyq.py:309

Method__getitem__

(self, idx)

CUDA-V2XFusion/mmdet3d/datasets/v2x_dataset.py:768

Method__init__

(self, parent)

libraries/3DSparseConvolution/tool/bevfusion-export/export-transfuser.py:41

Method__init__

(self, name)

libraries/cuOSD/test/pytest.py:30

Method__init__

(self)

libraries/cuOSD/test/cuosd/__init__.py:41

Method__init__

(self, ndim: int, in_channels: int, out_channels: int,

CUDA-CenterPoint/qat/tools/sparseconv_quantization.py:77

Method__init__

(self, model)

CUDA-CenterPoint/qat/tools/sparseconv_quantization.py:228

Method__init__

(self, model)

CUDA-CenterPoint/qat/tools/sparseconv_quantization.py:243

Method__init__

(self, model)

CUDA-CenterPoint/tool/export_neck_head.py:61

Method__init__

Dataset used for bevdetection task. Args: ida_aug_conf (dict): Config for ida augmentation. classes (list): Class name

CUDA-V2XFusion/mmdet3d/datasets/v2x_dataset.py:246

Method__init__

Pillar Feature Net. The network prepares the pillar features and performs forward pass through PFNLayers. This net performs a

CUDA-V2XFusion/mmdet3d/models/backbones/pillar_encoder.py:135

Method__init__

Point Pillar's Scatter. Converts learned features from dense tensor to sparse pseudo image. This replaces SECOND's second.pyt

CUDA-V2XFusion/mmdet3d/models/backbones/pillar_encoder.py:235

Method__init__

( self, pts_voxel_encoder: Dict[str, Any], pts_middle_encoder: Dict[str, Any],

CUDA-V2XFusion/mmdet3d/models/backbones/pillar_encoder.py:293

Method__init__

( self, encoders: Dict[str, Any], fuser: Dict[str, Any], decoder: Dict[str, An

CUDA-V2XFusion/mmdet3d/models/fusion_models/bevfusion.py:47

Method__init__

( self, in_channels: int, out_channels: int, image_size: Tuple[int, int],

CUDA-V2XFusion/mmdet3d/models/vtransforms/base.py:64

Method__init__

( self, in_channels: int, out_channels: int, image_size: Tuple[int, int],

CUDA-V2XFusion/mmdet3d/models/vtransforms/lss.py:114

Method__init__

(self, name, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:70

Method__init__

(self, bits:int, algo:Algorithm, dim:int, style:QuantizationStyle, once=False)

CUDA-V2XFusion/scripts/tinyq.py:88

Method__init__

(self, method : QuantizationMethod)

CUDA-V2XFusion/scripts/tinyq.py:109

Method__init__

(self, method : QuantizationMethod)

CUDA-V2XFusion/scripts/tinyq.py:138

Method__init__

(self, method : QuantizationMethod)

CUDA-V2XFusion/scripts/tinyq.py:180

Method__init__

(self, method : QuantizationMethod)

CUDA-V2XFusion/scripts/tinyq.py:224

Method__init__

(self, model:nn.Module, module_class)

CUDA-V2XFusion/scripts/tinyq.py:296

Method__init__

(self, model:nn.Module)

CUDA-V2XFusion/scripts/tinyq.py:347

Method__init__

(self, model:nn.Module)

CUDA-V2XFusion/scripts/tinyq.py:360

Method__init__

(self, model, __linker, **actions)

CUDA-V2XFusion/scripts/tinyq.py:385

Method__init__

(self, model, **actions)

CUDA-V2XFusion/scripts/tinyq.py:430

Method__init__

(self, model, **actions)

CUDA-V2XFusion/scripts/tinyq.py:436

Method__init__

(self, model)

CUDA-V2XFusion/scripts/tinyq.py:441

Method__init__

(self, model)

CUDA-V2XFusion/scripts/tinyq.py:463

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:512

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:529

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:556

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:566

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:574

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:592

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:613

Method__init__

(self, enable=True)

CUDA-V2XFusion/scripts/tinyq.py:655

Method__init__

(self)

CUDA-V2XFusion/scripts/tinyq.py:923

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:953

Method__init__

(self, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:973

Method__init__

(self, parent)

CUDA-V2XFusion/scripts/export_v2xfusion.py:83

Method__init__

(self, quantization =True)

CUDA-V2XFusion/scripts/quantize.py:47

Method__init__

(self, obj)

CUDA-V2XFusion/scripts/quantize.py:160

Method__init__

(self, obj)

CUDA-V2XFusion/scripts/quantize.py:201

Method__init__

(self, model)

CUDA-V2XFusion/scripts/quantize.py:301

Method__init__

(self, model)

CUDA-V2XFusion/scripts/quantize.py:316

Method__init__

( self, class_names, current_classes, data_root, gt_label_path,

CUDA-V2XFusion/evaluators/det_evaluators.py:54

Method__init__

(self, model)

CUDA-BEVFusion/qat/export-camera.py:51

Method__init__

(self, parent)

CUDA-BEVFusion/qat/export-transfuser.py:40

Method__init__

(self, obj, is_fuse_relu)

CUDA-BEVFusion/qat/lean/funcs.py:107

Method__init__

(self, quantization =True)

CUDA-BEVFusion/qat/lean/quantize.py:46

Method__init__

( self, ndim, in_channels, out_channels, kernel_size=3, stride

CUDA-BEVFusion/qat/lean/quantize.py:78

Method__init__

(self, obj)

CUDA-BEVFusion/qat/lean/quantize.py:239

Method__init__

(self, obj)

CUDA-BEVFusion/qat/lean/quantize.py:280

Method__init__

(self, model)

CUDA-BEVFusion/qat/lean/quantize.py:384

Method__init__

(self, model)

CUDA-BEVFusion/qat/lean/quantize.py:399

Method__iter__

(self)

CUDA-V2XFusion/scripts/tinyq.py:376

Method__len__

(self)

CUDA-V2XFusion/mmdet3d/datasets/v2x_dataset.py:857

Method__len__

(self)

CUDA-V2XFusion/scripts/tinyq.py:373

Method__repr__

(self)

CUDA-V2XFusion/scripts/tinyq.py:104

Method__repr__

(self)

CUDA-V2XFusion/scripts/tinyq.py:285

Method__repr__

(self)

CUDA-V2XFusion/scripts/tinyq.py:957

Method__repr__

(self)

CUDA-V2XFusion/scripts/tinyq.py:977

Method__str__

(self)

CUDA-V2XFusion/mmdet3d/datasets/v2x_dataset.py:852

Method_load_from_state_dict

(self, state_dict, prefix, *args, **kwargs)

CUDA-V2XFusion/scripts/tinyq.py:250

Functionadd_replace_quantization_module

(module, name, target)

CUDA-V2XFusion/scripts/tinyq.py:649

Functionapply_connect_rules

(model : nn.Module, concrete_args=dict())

CUDA-V2XFusion/scripts/tinyq.py:838

Functionapply_to_numpy

(self, image:np.ndarray, stream=0)

libraries/cuOSD/test/cuosd/__init__.py:66

Methodarrow

(self, x0, y0, x1, y1, arrow_size, thickness, color, interpolation)

libraries/cuOSD/test/cuosd/__init__.py:49

Methodbackward

(ctx, gradx, gradgeom)

CUDA-V2XFusion/mmdet3d/ops/bev_pool/bev_pool.py:27

Methodbackward

(ctx, out_grad)

CUDA-V2XFusion/mmdet3d/ops/bev_pool/bev_pool.py:64

Methodbackward

(ctx, grad)

CUDA-V2XFusion/scripts/tinyq.py:61

Methodbackward

(ctx, grad)

CUDA-V2XFusion/scripts/tinyq.py:915

Functionbatch_processor_ensemble

(model1, model2, data, train_mode, **kwargs)

CUDA-CenterPoint/qat/det3d/torchie/apis/train.py:137

Functionbuild_sensitivity_profile

(model, data_loader_val, dataset_val, eval_model_callback : Callable = None)

CUDA-CenterPoint/qat/tools/sparseconv_quantization.py:257

Functionbuild_sensitivity_profile

(model, data_loader_val, dataset_val, eval_model_callback : Callable = None)

CUDA-V2XFusion/scripts/quantize.py:330

Functionbuild_sensitivity_profile

(model, data_loader_val, dataset_val, eval_model_callback : Callable = None)

CUDA-BEVFusion/qat/lean/quantize.py:413

Functioncalibrate_model

(model : torch.nn.Module, dataloader, device, batch_processor_callback: Callable = None, num_batch=25)

CUDA-CenterPoint/qat/tools/sparseconv_quantization.py:165

Functioncalibrate_model

(model : torch.nn.Module, dataloader, device, batch_processor_callback: Callable = None, num_batch=1)

CUDA-V2XFusion/scripts/quantize.py:238

Functioncalibrate_model

(model : torch.nn.Module, dataloader, device, batch_processor_callback: Callable = None, num_batch=1)

CUDA-BEVFusion/qat/lean/quantize.py:321

Methodclock

(self, format, time, font_size, font, x, y, border_color, bg_color)

libraries/cuOSD/test/cuosd/__init__.py:47

Functioncollate_fn

(data, is_return_depth=False)

CUDA-V2XFusion/mmdet3d/datasets/v2x_dataset.py:921

Methodcollect

(self, x)

CUDA-V2XFusion/scripts/tinyq.py:142

Methodcollect

(self, x)

CUDA-V2XFusion/scripts/tinyq.py:184

Methodcollect

(self)

CUDA-V2XFusion/scripts/tinyq.py:234

Methodcompute

(self, eps=1 / (1 << 24))

CUDA-V2XFusion/scripts/tinyq.py:159

Methodcompute

(self, eps=1 / (1 << 24))

CUDA-V2XFusion/scripts/tinyq.py:203

Methodcompute

(self)

CUDA-V2XFusion/scripts/tinyq.py:256

Methodcounter

(*args)

libraries/cuOSD/test/pytest.py:34

Functioncprint

(*args, **kwargs)

libraries/3DSparseConvolution/tool/bevfusion-export/funcs.py:46

Functioncprint

(*args, **kwargs)

CUDA-BEVFusion/qat/lean/funcs.py:47

Methodevaluate

( self, results, img_metas, metric='bbox', logger=None, jsonfi

CUDA-V2XFusion/evaluators/det_evaluators.py:105

Methodevaluate_map

(self, results)

CUDA-V2XFusion/mmdet3d/datasets/v2x_dataset.py:863

Functionexit_cleanup

()

libraries/cuOSD/test/cuosd/__init__.py:62

Functionexport_onnx

(model, voxels, coors, batch_size, spatial_shape, save_onnx, save_tensor)

libraries/3DSparseConvolution/tool/centerpoint-export/exptool.py:233

Functionexport_onnx

(model : nn.Module, voxels, coors, batch_size, inverse, save_onnx)

libraries/3DSparseConvolution/tool/bevfusion-export/exptool.py:296

Functionexport_onnx

(model, voxels, coors, batch_size, spatial_shape, save_onnx, save_tensor)

CUDA-CenterPoint/qat/onnx_export/exptool.py:318

Functionexport_onnx

(model : nn.Module, voxels, coors, batch_size, inverse, save_onnx)

CUDA-BEVFusion/qat/lean/exptool.py:371

Methodextra_repr

(self)

CUDA-V2XFusion/mmdet3d/models/backbones/pillar_encoder.py:250

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