# need a new token dimension (row) for each prompt in the batch new_token = torch.zeros(total_prompts, 1, device=device, dtype=torch.int64) res = [[] for _ in range(total_prompts)] num_tokens = 40 # Decoding @@ -415,8 +425,11 @@ def main(args): f"responses ===>>> {co...
Yet another PyTorch-only solution would be using expand(): import torch c = 4 x = torch.tensor([[1,2,3], [4,5,6]]) y = x[:, :, None].expand(-1, -1, c) print(y) # >>> tensor([[[1, 1, 1, 1], # [2, 2, 2, 2], # [3, 3, 3, 3]], ...
def unfold_copy(self: TensorLikeType, dimension: int, size: int, step: int): return self.unfold(dimension, size, step).clone( memory_format=torch.contiguous_format ) def _cumsumprod_common( func, init, @@ -6274,6 +6284,20 @@ def select_scatter(x: TensorLikeType, src: TensorLikeType...
运行结果展示: 代码: fromtorch.utils.tensorboardimportSummaryWriterimport numpyasnp img_batch = np.zeros((16,3,100,100))foriinrange(16):img_batch[i,0] = np.arange(0,10000).reshape(100,100) /10000/16* i img_batch[i,1] = (1- np.arange(0,10000).reshape(100,100) /10000) /16* ...
dim_flag =Falseifdim_flag ==False:raiseConfigurationError("For layer ElementWisedMultiply3D, the dimensions of each inputs should be equal or 1 ,or the elements number of two inputs (expect for the first dimension) should be equal")returntorch.addcmul(torch.zeros(args[0].size()).to('...
开发者ID:rusty1s,项目名称:pytorch_geometric,代码行数:19,代码来源:generate_mesh_normals.py 示例3: forward ▲点赞 6▼ # 需要导入模块: import torch_scatter [as 别名]# 或者: from torch_scatter importscatter_add[as 别名]defforward(self, x, batch):"""batch_size = batch.max().item() +1h...
(channels_first) -> 1x1 Conv -> GELU -> 1x1 Conv; all in (N, C, H, W) (2) DwConv -> Permute to (N, H, W, C); LayerNorm (channels_last) -> Linear -> GELU -> Linear; Permute back We use (2) as we find it slightly faster in PyTorch Args: dim (int): Number of ...
In the below output, it can be observed that the new dimension has been added to the 1D tensor at the 0 index: Moreover, users can also add dimensions to other positions. Here, we have added the dimension at first index: Example 2: Add Dimension to a 2D Tensor in PyTorch ...
will also remove the batch dimension, which can lead to unexpected .. warning:: If the tensor has a batch dimension of size 1, then `squeeze(input)` will also remove the batch dimension, which can lead to unexpected errors.Args:
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference. - [C/PyTorch] Add suppo