I'm having a problem of loading a serialized tensor from a file. My tensor shape is [309000001, 2, 5] the dtype is torch.int8 When I deserialize the tensor using torch.load(), it yell "invalid memory size". The line that it complain is: pytorch/torch/serialization.py Lines 528 to ...
new_full(size, fill_value, dtype=None, device=None, requires_grad=False) → Tensor new_empty(size, dtype=None, device=None, requires_grad=False) → Tensor new_ones(size, dtype=None, device=None, requires_grad=False) → Tensor new_zeros(size, dtype=None, device=None, requires_grad=Fals...
data2 = data_gpu2.to(device='cpu') # 将GPU上的Tensor拷贝到CPU上 1. 2. 3. 4. 简化的方式: # tensor.cpu() == tensor.to(device='cpu') # tensor.gpu() == tensor.to(device='cuda') 1. 2. 注:一般情况下, Tensor初始加载后在CPU上, 然后将其拷贝到GPU进行运算 (得出的运算结果也在G...
torch.empty_strided(size, stride) is equivalent to torch.empty(size).as_strided(size, stride). Warning More than one element of the created tensor may refer to a single memory location. As a result, in-place operations (especially ones that are vectorized) may result in incorrect behavior...
torch.Tensor是默认的tensor类型(torch.FlaotTensor)的简称。 一个张量tensor可以从Python的list或序列构建: >>>torch.FloatTensor([[1, 2, 3], [4, 5, 6]]) 1 2 3 4 5 6 [torch.FloatTensor of size 2x3] 一个空张量tensor可以通过规定其大小来构建: ...
tensor([[ 1, 2, 3, 4], [ 5, 6, 7, 8], [ 9, 10, 11, 12]]) tensor.item(): 获取张量中的单个元素的数值 转移设备 torch.Tensor.to(dtype=None, device=None, dtype2=None, non_blocking=False, copy=False, memory_format=torch.preserve_format) → Tensor ...
1、根据已有的数据,使用torch.tensor()创建tensor 2、torch.* 创建特殊大小的tensor,详见Creation Ops 3、torch.*_like 创建与其他tensor size相同或type相同的tensor,详见Creation Ops 4、tensor.new_*创建与其他tensor type相同,size不同的tensor 下面介绍tensor的操作 ...
input_tensor = preprocess(img)ifdtype=='fp16': input_tensor = input_tensor.half()#print(input_tensor.shape)input_batch = input_tensor.unsqueeze(0)#增加一个batch通道,torch.Size([1, 3, 224, 224])#print(input_batch.shape)iftorch.cuda.is_available(): ...
y = torch.Tensor(2,2):copy(x) --- 修改y并不改变原来的x y = x:clone() 修改y也不改变x y = x 修改y这个时候就开始改变x了注意,官网中Returns a clone of a tensor. The memory is copied.内存被复制,也即重新分配了一份内存个y,所以y改变x不改变,对于copy是一样的.copy允许复制的维度不一...
In my multi-threaded data loader I'm calling sox to do some data augmentation (because torchaudio SoxEffectsChain seems to corrupt memory). Somehow I get GPU memory leak. Both these lines do not use any GPU, so it's very strange. effect ...