import torch # 创建一个PyTorch tensor tensor = torch.tensor([1.0, 2.0, 3.0, 4.0, 5.0]) # 使用torch.max()函数来找出tensor中的最大值 max_value, max_index = torch.max(tensor) # 输出最大值 print(f"The maximum value is: {max_value.item()}") 执行这段代码后,你将看到输出为: text ...
TorchV的RAG实践分享(三):解析llama_index的数据存储结构和召回策略过程 1.前言 LlamaIndex是一个基于LLM的数据处理框架,在RAG领域非常流行,简单的几行代码就能实现本地的文件的对话功能,对开发者提供了极致的封装,开箱即用。 本文以官方提供的最简单的代理示例为例,分析LlamaIndex在数据解析、向量Embedding、数据存储...
torch.trunc(x) #返回整数部分 torch.maximum(x, y) torch.minimum(x, y) 5、Reduction operation torch.clamp(x, min, max) #x中元素小于min则置为min torch.lerp(x, y, weight(float)) #线性插值,x y都是tensor,weight是标量,返回x + weight*(y - x) torch.reciprocal(x, dim) #指定维度的累...
效率也应该是好的，因为我们只是划分Tensor：下面是torch中的unravel_index实现：公认的答案只适用于给定的...
maximum(anchors[:, 1], gt_box_[:, 1]) inter_area = inter_w * inter_h # union union_area = anchors_area + gt_box_area - inter_area # iou iou = inter_area / union_area iou = np.clip(iou, a_min=1e-10, a_max=1.0) return iou @torch.no_grad() def __call__(self, ...
maximum mean median memory_format merge_type_from_type_comment meshgrid min minimum miopen_batch_norm miopen_convolution miopen_convolution_transpose miopen_depthwise_convolution miopen_rnn mkldnn_adaptive_avg_pool2d mkldnn_convolution mkldnn_convolution_backward_weights mkldnn_linear_backward_weights mkl...
le() == less_equal() lt() ==less() maximum() minimum() fmax() fmin() ne() == not_equal() sort() topk() msort() Spectral Ops stft() istft() hamming_window() ... Other Operations atleast_1d() ... bincount() block_diag() broadcast_tensors() broadcast_to() broadcast_shapes...
torch.max torch.max() Explation: Returns the maximum value of all elements in the input tensor Example: Explation: Returns a namedtuple (values, indices) where values is the maximum value of each row of the...torch.max()用法 ——— 版权声明:本文为CSDN博主「摇摆的果冻」的...
where V = maximum index + 1 and embedding_dim = the embedding size Output: (*, embedding_dim), where * is the input shape Examples: >>> # a batch of 2 samples of 4 indices each >>> input = torch.tensor([[1,2,4,5],[4,3,2,9]]) >>> # an embedding matrix containing 10...
max_val –maximum value of the linear region range. Default: 1 inplace –can optionally do the operation in-place. Default: False Input: (N,∗)(N, *)(N,∗) where * means, any number of additional dimensions Output: (N,∗)(N, *)(N,∗) , same shape as the input ...