运行程序,就可以看到所有的函数、方法 import torch s = dir(torch) for i in s: print(i) 1. 2. 3. 4. 输出有一千多个结果 AVG AggregationType AnyType Argument ArgumentSpec BFloat16Storage BFloat16Tensor BenchmarkConfig BenchmarkExecutionStats Block BoolStorage BoolTensor BoolType BufferDict Byte...
(sample_shape) File "/home/sam/dev/sheeprl/.venv/lib/python3.10/site-packages/torch/distributions/categorical.py", line 133, in sample return samples_2d.reshape(self._extended_shape(sample_shape)) File "/home/sam/dev/sheeprl/.venv/lib/python3.10/site-packages/torch/distributions/distribution....
(http://vae.py:458/): UserWarning: The value argument must be within the support of the distribution reconst_loss = -generative_outputs["px"].log_prob(x).sum(-1) /usr/local/lib/python3.10/dist-packages/scvi/distributions/_negative_[binomial.py:69](http://binomial.py:69/): ...
pack_sequence Recurrent layers RNN classtorch.nn.RNN(*args,**kwargs)[source] Applies a multi-layer Elman RNN with tanhtanhtanh or ReLUReLUReLU non-linearity to an input sequence. For each element in the input sequence, each layer computes the following function: ht=tanh(Wihxt+bih+Whhh(t...
Buffers (e.g. BatchNorm stats) are broadcast from the module in process of rank 0, to all other replicas in the system in every iteration. Parameters Variables ~DistributedDataParallel.module (Module)– the module to be parallelized Example: >>> torch.distributed.init_process_group(backend='...
def _get_ranks_and_num_ties( scores: torch.Tensor, true_scores: torch.Tensor ) -> (torch.Tensor, torch.Tensor): """Returns rank and number of ties of each true score in scores. :param scores: batch_size x entities tensor of scores :param true_scores: batch_size x 1 tensor containi...
greater(parameters, 0.5) elif get_backend() == "pytorch": return torch.gt(parameters, 0.5) # Deterministic is tensor or False. Pass through graph. else: return self.distributions[flat_key].draw(parameters, deterministic) Example #7Source File: metric_seg.py From LEDNet with MIT License 6 ...
_lowrank.py _meta_registrations.py _namedtensor_internals.py _ops.py _python_dispatcher.py _size_docs.py _sources.py _storage_docs.py _streambase.py _tensor.py _tensor_docs.py _tensor_str.py _thread_safe_fork.py _torch_docs.py _utils.py _utils_internal.py _vmap_internals.py _weigh...
# mypy: allow-untyped-defs from torch.distributions import constraints from torch.distributions.gamma import Gamma __all__ = ["Chi2"] class Chi2(Gamma): r""" Creates a Chi-squared distribution parameterized by shape parameter :attr:`df`. This is exactly equivalent to ``Gamma(alpha=0.5*df...
_lowrank.py _meta_registrations.py _namedtensor_internals.py _ops.py _python_dispatcher.py _size_docs.py _sources.py _storage_docs.py _streambase.py _tensor.py _tensor_docs.py _tensor_str.py _thread_safe_fork.py _torch_docs.py _utils.py _utils_internal.py _vmap_internals.py ...