Tensor): return data.to(device=device, non_blocking=True) else: return data.to(device=device) 这些实现为我们提供了一个完整的实验框架,可以系统地评估不同优化策略的效果。通过这个框架可以精确地量化各种优化方法对计算效率的影响。 训练与评估流程设计 最后还要实现了一个完整的
result = torch_func_method(public_api, types, args, kwargs) File "/etc/ecmwf/nfs/dh2_perm_a/nacl/research/obs/lessig-dev-kas-cell-forecast/ai-obs-experimental-transformer/pyenv/lib/python3.10/site-packages/torch/nested/_internal/nested_tensor.py", line 302, in __torch_function__ return ...
self.use_nested_tensor是一个实例变量,用于记录当前实例(可能是模型的一个组件)是否实际使用了嵌套张量。这个变量通常在模型或组件的初始化过程中根据配置和其他条件进行设置。 分析两者之间的关系,为何出现不一致: 不一致的原因可能在于enable_nested_tensor的配置没有在模型的初始化过程中被正确应用。例如,如果enable...
then converting it back to a jagged tensor. The forward pass is just fine, but the backwards pass breaks. It is probably because the offsets object changes throughout the forward pass, but I cannot see how to fix this.
一个RaggedTensor(或flat_values,如果nested_row_splits为空)。 从row_splits 张量的嵌套列表创建 RaggedTensor。 相当于: result = flat_values for row_splits in reversed(nested_row_splits): result = from_row_splits(result, row_splits) 相关用法 Python tf.RaggedTensor.from_nested_row_lengths用...
数据结构组——tianshou Batch和treevalue,比较对象为split(将单个Tensor进行拆分)、stack(将多个Tensor进行拼接)运算的性能 泛用运算组——dm-tree、jax-libtree、torchbeast-nest和treevalue,比较对象为flatten(将树结构展开为可逆的列表结构)、mapping(简单的函数式映射运算)运算的性能 数据结构组的性能测试结果如下所...
FractalTensor is a nested list-based abstract data type (ADT), where each element is a tensor with static shape or another FractalTensor (i.e., nested). DNNs are then defined by high-order compute operators like map/reduce/scan and data access operators...
In a second part, we show that the use of a tensor space–time coding (TSTC) structure at both the source node and the relay node of a one-way two-hop multi-input multi-output (MIMO) relay communication system leads to a nested Tucker decomposition of the fourth-order tensor formed ...
Uncover Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensorYing Cao , Fan Yang , Mao Yang September 2024Download BibTex Abstract to come… Opens in a new tab Research Areas Programming languages and software engineering Systems and...
不仅如此,还支持了比jax-libtree更加丰富的结构运算(subside与支持自动检测结构的rise),也支持了比torchbeast-nest更灵活的函数扩展能力(func_treelize)。而treevalue最为强大的地方体现在treetensor中,只需要对部分torch.Tensor的方法进行特别支持后,剩下的全部方法均可在现有框架上实现,并保持和原有API一样的使用...