afterSize=image.shape[1:].numpy()# 缩放后图像的宽高 1. 错误码:AttributeError: 'torch.Size' object has no attribute 'numpy' image是torch.Tensor类型, image.shape返回的是torch.Size,只有torch.Tensor有numpy()方法。所以需要把.numpy()放到image后面,才能用。 解决方案: 只有torch.Tens...
a的维度为(1,2),b的维度为(2,3)就会报错:The size of tensor a (2) must match the size of tensor b (3) at non-singleton dimension 1 报错的意思是b中维度为3的位置必须和a中维度为2的位置相匹配,因为a中有个维度1,要想满足广播机制就必须是(1,2)和(2,2),否则就需要满足维度必须相等(2,3...
fromtorch2trt.torch2trtimport*@tensorrt_converter('torch.zeros')defconvert_zeros(ctx):size=ctx.method_argsoutput=ctx.method_returnkwargs=ctx.method_kwargsdtype=kwargs.get('dtype')zeros_tensor=torch.zeros(*size,dtype=dtype)output._trt=add_trt_constant(ctx.network,zeros_tensor) 再运行convert.py...
这是一个非常耗内存的优化器(它需要额外的param_bytes * (history_size + 1)bytes)。如果它在内存在不匹配,尽力减少历史尺寸,或者使用不同的算法。 Parameters lr (float)– 学习率(默认为1) max_iter (int)– 每个优化步骤的最大迭代次数(默认为20) max_eval (int)– 每个优化步骤的最大函数计算数(...
torch.load('tensors.pt', map_location=lambdastorage, loc: storage.cuda(1)) # Map tensors from GPU 1 to GPU 0 torch.load('tensors.pt', map_location={'cuda:1':'cuda:0'}) # Load tensor from io.BytesIO object withopen('tensor.pt')asf: ...
in conv2d_wrapper in_nodes = [find_node_by_tensor(inp)] File "PyTorch-Spiking-YOLOv3/spiking_utils/ann_parser.py", line 10, in find_node_by_tensor raise ValueError("cannot find tensor Size", tensor.size()) ValueError: ('cannot find tensor Size', torch.Size([16, 16, 320, 320]))...
对APE大模型进行3并发测试,报错。 (py39) root@gzxj-sys-rpm46kwprrx:~/APE# ./run_test.sh /root/miniconda3/envs/py39/lib/python3.9/site-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be *...
🐛 Describe the bug torch.Tensor.rot90 causes heap buffer overflow with specific input. Test code: import torch t_base = torch.randn(2,2) t = torch.quantize_per_tensor(t_base, 0.1, 10, torch.quint4x2) t.rot90(-3,(1,0)) Error log: ===...
Got tensor.size() = torch.Size([8，8])EN增加一个长度为 1 的维度相当于给原有的张量添加一个...
r"""Returns the current NPU memory occupied by tensors in bytes for a given device. Arguments: device (torch.device or int, optional): selected device. Returns statistic for the current device, given by :func:`~torch_npu.npu.current_device`, if :attr:`device` is ``None`` (de...