number of parameters on (tensor, pipeline) model parallel rank (2, 0): 2007764992 number of parameters on (tensor, pipeline) model parallel rank (3, 0): 2007764992 number of parameters on (tensor, pipeline) mode
# middle...mxnet_key += 'fc6_' mxnet_key += k[1] else: assert False, 'Unexpected...token' if debug: print(mxnet_key, '=> ', state_key, end=' ') mxnet_array...mxnet_aux[mxnet_key] if aux else mxnet_weights[mxnet_key] torch_tensor = torch.from_numpy(mxnet_arr...
The current torch.load() interprets data as native-endian if a given pickle file has no byteorder record. This behavior causes practical issues on big-endian machines when we load parameters for many DNN models saved on little-endian machines (e.g. x86_64). As a result, tensors would ...
Unexpected behavior of torch.nn.init.trunc_normal with bf16 tensors #171204 Sign in to view logs Summary Jobs assign Run details Usage Workflow file Triggered via issue April 9, 2025 17:00 albanD commented on #145498 c59aaa0 Status Success Total duration 13s Artifacts – assigntome-doca...
Uncaught exception Traceback (most recent call last): File "/mnt/data/buduanban_detection/meteo.py", line 103, in <module> datamodule = ObjectDetectionData.from_coco( File "/data/miniconda3/envs/torch/lib/python3.9/site-packages/flash/image/detection/data.py", line 386, in ...
image = data['image'] mask = data['mask'] # (h, w, c) -> (c, h, w) image = np.transpose(image,(2,0,1)).astype(np.float32) mask = np.transpose(mask,(2,0,1)).astype(np.float32) image = torch.Tensor(image)/255.0 ...
device="cuda:0"iftorch.cuda.is_available()else"cpu"class_names=["cmn","deu","rus","fra","eng","jpn","spa","ita","kor","vie","nld","epo","por","tur","heb","hun","ell","ind","ara","arz","fin","bul","yue","swe","ukr","bel","que","ces","swh","nno","wuu...
(args)):iftorch.is_tensor(args[i]):graph_record.args[i].copy_(args[i])forkinkwargs:iftorch.is_tensor(kwargs[k]):graph_record.kwargs[k].copy_(kwargs[k])graph_record.graph.replay()returngraph_record.outputdefextract_batch_size(self,*args,**kwargs)->int:raiseNotImplementedErrordef_...
type='RotatedRTMDetSepBNHead', use_hbbox_loss=False, with_objectness=False), data_preprocessor=dict( batch_augments=None, bgr_to_rgb=False, boxtype2tensor=False, mean=[ 103.53, 116.28, 123.675, ], std=[ 57.375, 57.12, 58.395,
save_safetensors=False, save_steps=1000, save_strategy=steps, save_total_limit=None, seed=42, sharded_ddp=[], skip_memory_metrics=True, sortish_sampler=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, ...