class Simple(torch.nn.Module): def forward(self, ci, a, b): def cond_fn(i, x, y): return i > 0 def body_fn(i, x, y): return i - 1, x + y, y - x return torch._higher_order_ops.while_loop(cond_fn, body_fn, (ci, a, b)) example_inputs = ( torch.tensor(1), ...
Check notice on line 0 in .github github-actions / Test Results 2679 tests found (test 737 to 1407) There are 2679 tests, see "Raw output" for the list of tests 737 to 1407. Raw output roottest-python-JupyROOT-importROOT_notebook ‑ roottest-python-JupyROOT-importROOT_noteboo...
Equipped with suitable functions to turn RDKit atom objects and RDKit bond objects into informative feature vectors, we swiftly move on to define a function which turns a list of SMILES strings and an associated list of labels (such as pKi values) into a list of Pytorch Geometric grap...
数据库:MongoDB(存储用户行为数据和商品信息)。 AI框架:PyTorch(用于训练推荐模型)。 SuperDuperDB:用于将AI模型嵌入MongoDB,实现实时推荐。 5.3 实现步骤 步骤1:数据收集与存储 使用MongoDB存储用户行为数据(如用户ID、商品ID、行为类型、时间戳)。 使用SuperDuperDB将商品嵌入向量存储在MongoDB...
"""Wraps an arbitrary object with __len__ and __getitem__ into a pytorch dataset""" def __init__(self, dataset): self.data = dataset def __len__(self): return len(self.data) def __getitem__(self, idx): return self.data[idx] class DataModuleFromConfig(pl.LightningDa...
// into this function. // See https://github.com/pytorch/pytorch/issues/134762 pytensor = THPVariable_Wrap(tensor); pytensor = THPVariable_Wrap(std::move(tensor)); if (!pytensor) // NOLINTNEXTLINE(cppcoreguidelines-avoid-goto,hicpp-avoid-goto) goto error;0...
Lack of reliability in bulk_encode meant most of the time bulk_encode was just a list comprehension. This meant we lost any speed enhancements we could be getting as we had to feed it through matrices every time.The new design now lets us get the most out of multiple tensor inputs....