Index _ | A | B | C | D | E | F | I | L | M | N | O | P | R | S | T | U | Z _ _Tensor (class in eazygrad._tensor) A Adam (class in eazygrad) AdamW (class in eazygrad) append() (eazygrad.nn.ModuleList method) B backward() (eazygrad._tensor._Tensor method) (eazygrad.grad.computation_graph.ComputationGraph method) bce_loss() (in module eazygrad) bce_with_logits_loss() (in module eazygrad) C clear() (eazygrad.grad.computation_graph.ComputationGraph method) clear_grad() (eazygrad._tensor._Tensor method) clear_node() (eazygrad.grad.computation_graph.ComputationGraph method) clip() (in module eazygrad) ComputationGraph (class in eazygrad.grad.computation_graph) cos() (in module eazygrad) create_node() (eazygrad.grad.computation_graph.ComputationGraph method) cross_entropy_loss() (in module eazygrad) D Dataloader (class in eazygrad.data.dataloader) detach() (eazygrad._tensor._Tensor method) double() (eazygrad._tensor._Tensor method) download() (eazygrad.data.MNISTDataset method) E exp() (in module eazygrad) F float() (eazygrad._tensor._Tensor method) forward() (eazygrad.nn.Linear method) (eazygrad.nn.Module method) (eazygrad.nn.ModuleList method) from_numpy() (in module eazygrad) I int() (eazygrad._tensor._Tensor method) L Linear (class in eazygrad.nn) log() (in module eazygrad) log_softmax() (in module eazygrad) logsumexp() (in module eazygrad) long() (eazygrad._tensor._Tensor method) M matmul() (eazygrad._tensor._Tensor method) mean() (eazygrad._tensor._Tensor method) min() (in module eazygrad) mirrors (eazygrad.data.MNISTDataset attribute) MNISTDataset (class in eazygrad.data) Module (class in eazygrad.nn) ModuleList (class in eazygrad.nn) mse_loss() (in module eazygrad) N nll_loss() (in module eazygrad) no_grad() (in module eazygrad) no_grad_ctx (class in eazygrad) numpy() (eazygrad._tensor._Tensor method) O ones() (in module eazygrad) P parameters() (eazygrad.nn.Module method) (eazygrad.nn.ModuleList method) plot() (eazygrad.grad.computation_graph.ComputationGraph method) plot_dag() (eazygrad._tensor._Tensor method) R randn() (in module eazygrad) register_params() (eazygrad.nn.Module method) relu() (in module eazygrad) reshape() (eazygrad._tensor._Tensor method) resources (eazygrad.data.MNISTDataset attribute) S SGD (class in eazygrad) shape (eazygrad._tensor._Tensor property) sigmoid() (in module eazygrad) sin() (in module eazygrad) softmax() (in module eazygrad) squeeze() (eazygrad._tensor._Tensor method) sum() (eazygrad._tensor._Tensor method) swapdims() (eazygrad._tensor._Tensor method) T T() (eazygrad._tensor._Tensor method) tanh() (in module eazygrad) tensor() (in module eazygrad) to() (eazygrad._tensor._Tensor method) U uniform() (in module eazygrad) unsqueeze() (eazygrad._tensor._Tensor method) Z zeros() (in module eazygrad)