157 156 # Turn inputs that are sparse to BCOO tensors 158 157 def to_bcoo_if_sparse(x, maybe_symbolic_x): 159 158 if ( keras/src/backend/jax/optimizer.py -1 Original file line numberDiff line numberDiff line change @@ -13,7 +13,6 @@ 13 13 14 14 15 15 class...
bdhirshaddedmodule: optimizerRelated to torch.optimtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate modulelabelsJan 13, 2022 jaketaementioned this issueJan 15, 2022 Open Collaborator pytorch/torch/optim/_multi_tensor/adamw.py ...
revert-50188-refine_optimizer_create_accumulators revert-50335-fix_optminizer_set_auxiliary_var_bug 2.4.1 release/2.4 layer_norm revert-49654-prim_api_gen revert-49763-fix_static_composite_gen revert-48815-set_free_when_no_cache_hit_default_value_true ...
Tensor: @@ -107,7 +104,7 @@ def decode(self, *args, **kwargs) -> torch.Tensor: 107 104 raise NotImplementedError("decode()-method of abstract base class called") 108 105 109 106 def instantiate_optimizer_from_config(self, params, lr, cfg): 110 - logger.debug(f"loading ...
prepare( model, optimizer, train_dataloader, eval_dataloader, lr_scheduler ) #accelerator.print(model.print_trainable_parameters()) # On TPU, the tie weights in our model have been disconnected, so we need to restore the ties. if accelerator.distributed_type == DistributedType.TPU: model.tie...
autograd.grad(logsumexp_, x0)) # torch.logsumexp (tensor([nan]),) # torch.softmax (tensor([nan]),) # torch.log_softmax (tensor([nan]),) # torch.log_sigmoid (tensor([nan]),) # torch.sigmoid (tensor([0.]),) # custom logsumexp (tensor([0.]),) In the custom reimpl ...
Tensor: @@ -107,7 +104,7 @@ def decode(self, *args, **kwargs) -> torch.Tensor: raise NotImplementedError("decode()-method of abstract base class called") def instantiate_optimizer_from_config(self, params, lr, cfg): logger.debug(f"loading >>> {cfg['target']} <<< optimizer from...