|  |  |  | 
     |  | t |  | 
     
       |  | torch |  | 
     
       |  | torch.__config__ |  | 
     
       |  | torch.__future__ |  | 
     
       |  | torch._logging |  | 
     
       |  | torch.amp |  | 
     
       |  | torch.amp.autocast_mode |  | 
     
       |  | torch.amp.grad_scaler |  | 
     
       |  | torch.ao |  | 
     
       |  | torch.ao.nn |  | 
     
       |  | torch.ao.nn.intrinsic |  | 
     
       |  | torch.ao.nn.intrinsic.modules |  | 
     
       |  | torch.ao.nn.intrinsic.modules.fused |  | 
     
       |  | torch.ao.nn.intrinsic.qat |  | 
     
       |  | torch.ao.nn.intrinsic.qat.modules |  | 
     
       |  | torch.ao.nn.intrinsic.qat.modules.conv_fused |  | 
     
       |  | torch.ao.nn.intrinsic.qat.modules.linear_fused |  | 
     
       |  | torch.ao.nn.intrinsic.qat.modules.linear_relu |  | 
     
       |  | torch.ao.nn.intrinsic.quantized |  | 
     
       |  | torch.ao.nn.intrinsic.quantized.dynamic |  | 
     
       |  | torch.ao.nn.intrinsic.quantized.dynamic.modules |  | 
     
       |  | torch.ao.nn.intrinsic.quantized.dynamic.modules.linear_relu |  | 
     
       |  | torch.ao.nn.intrinsic.quantized.modules |  | 
     
       |  | torch.ao.nn.intrinsic.quantized.modules.bn_relu |  | 
     
       |  | torch.ao.nn.intrinsic.quantized.modules.conv_add |  | 
     
       |  | torch.ao.nn.intrinsic.quantized.modules.conv_relu |  | 
     
       |  | torch.ao.nn.intrinsic.quantized.modules.linear_relu |  | 
     
       |  | torch.ao.nn.qat |  | 
     
       |  | torch.ao.nn.qat.dynamic |  | 
     
       |  | torch.ao.nn.qat.dynamic.modules |  | 
     
       |  | torch.ao.nn.qat.dynamic.modules.linear |  | 
     
       |  | torch.ao.nn.qat.modules |  | 
     
       |  | torch.ao.nn.qat.modules.conv |  | 
     
       |  | torch.ao.nn.qat.modules.embedding_ops |  | 
     
       |  | torch.ao.nn.qat.modules.linear |  | 
     
       |  | torch.ao.nn.quantizable |  | 
     
       |  | torch.ao.nn.quantizable.modules |  | 
     
       |  | torch.ao.nn.quantizable.modules.activation |  | 
     
       |  | torch.ao.nn.quantizable.modules.rnn |  | 
     
       |  | torch.ao.nn.quantized |  | 
     
       |  | torch.ao.nn.quantized.dynamic |  | 
     
       |  | torch.ao.nn.quantized.dynamic.modules |  | 
     
       |  | torch.ao.nn.quantized.dynamic.modules.conv |  | 
     
       |  | torch.ao.nn.quantized.dynamic.modules.linear |  | 
     
       |  | torch.ao.nn.quantized.dynamic.modules.rnn |  | 
     
       |  | torch.ao.nn.quantized.functional |  | 
     
       |  | torch.ao.nn.quantized.modules |  | 
     
       |  | torch.ao.nn.quantized.modules.activation |  | 
     
       |  | torch.ao.nn.quantized.modules.batchnorm |  | 
     
       |  | torch.ao.nn.quantized.modules.conv |  | 
     
       |  | torch.ao.nn.quantized.modules.dropout |  | 
     
       |  | torch.ao.nn.quantized.modules.embedding_ops |  | 
     
       |  | torch.ao.nn.quantized.modules.functional_modules |  | 
     
       |  | torch.ao.nn.quantized.modules.linear |  | 
     
       |  | torch.ao.nn.quantized.modules.normalization |  | 
     
       |  | torch.ao.nn.quantized.modules.rnn |  | 
     
       |  | torch.ao.nn.quantized.modules.utils |  | 
     
       |  | torch.ao.nn.quantized.reference |  | 
     
       |  | torch.ao.nn.quantized.reference.modules |  | 
     
       |  | torch.ao.nn.quantized.reference.modules.conv |  | 
     
       |  | torch.ao.nn.quantized.reference.modules.linear |  | 
     
       |  | torch.ao.nn.quantized.reference.modules.rnn |  | 
     
       |  | torch.ao.nn.quantized.reference.modules.sparse |  | 
     
       |  | torch.ao.nn.quantized.reference.modules.utils |  | 
     
       |  | torch.ao.nn.sparse |  | 
     
       |  | torch.ao.nn.sparse.quantized |  | 
     
       |  | torch.ao.nn.sparse.quantized.dynamic |  | 
     
       |  | torch.ao.nn.sparse.quantized.dynamic.linear |  | 
     
       |  | torch.ao.nn.sparse.quantized.linear |  | 
     
       |  | torch.ao.nn.sparse.quantized.utils |  | 
     
       |  | torch.ao.ns |  | 
     
       |  | torch.ao.ns._numeric_suite |  | 
     
       |  | torch.ao.ns._numeric_suite_fx |  | 
     
       |  | torch.ao.ns.fx |  | 
     
       |  | torch.ao.ns.fx.graph_matcher |  | 
     
       |  | torch.ao.ns.fx.graph_passes |  | 
     
       |  | torch.ao.ns.fx.mappings |  | 
     
       |  | torch.ao.ns.fx.n_shadows_utils |  | 
     
       |  | torch.ao.ns.fx.ns_types |  | 
     
       |  | torch.ao.ns.fx.pattern_utils |  | 
     
       |  | torch.ao.ns.fx.qconfig_multi_mapping |  | 
     
       |  | torch.ao.ns.fx.utils |  | 
     
       |  | torch.ao.ns.fx.weight_utils |  | 
     
       |  | torch.ao.pruning |  | 
     
       |  | torch.ao.pruning.scheduler |  | 
     
       |  | torch.ao.pruning.scheduler.base_scheduler |  | 
     
       |  | torch.ao.pruning.scheduler.cubic_scheduler |  | 
     
       |  | torch.ao.pruning.scheduler.lambda_scheduler |  | 
     
       |  | torch.ao.pruning.sparsifier |  | 
     
       |  | torch.ao.pruning.sparsifier.base_sparsifier |  | 
     
       |  | torch.ao.pruning.sparsifier.nearly_diagonal_sparsifier |  | 
     
       |  | torch.ao.pruning.sparsifier.utils |  | 
     
       |  | torch.ao.pruning.sparsifier.weight_norm_sparsifier |  | 
     
       |  | torch.ao.quantization |  | 
     
       |  | torch.ao.quantization.backend_config |  | 
     
       |  | torch.ao.quantization.backend_config.backend_config |  | 
     
       |  | torch.ao.quantization.backend_config.executorch |  | 
     
       |  | torch.ao.quantization.backend_config.fbgemm |  | 
     
       |  | torch.ao.quantization.backend_config.native |  | 
     
       |  | torch.ao.quantization.backend_config.observation_type |  | 
     
       |  | torch.ao.quantization.backend_config.onednn |  | 
     
       |  | torch.ao.quantization.backend_config.qnnpack |  | 
     
       |  | torch.ao.quantization.backend_config.tensorrt |  | 
     
       |  | torch.ao.quantization.backend_config.utils |  | 
     
       |  | torch.ao.quantization.backend_config.x86 |  | 
     
       |  | torch.ao.quantization.fake_quantize |  | 
     
       |  | torch.ao.quantization.fuse_modules |  | 
     
       |  | torch.ao.quantization.fuser_method_mappings |  | 
     
       |  | torch.ao.quantization.fx |  | 
     
       |  | torch.ao.quantization.fx.convert |  | 
     
       |  | torch.ao.quantization.fx.custom_config |  | 
     
       |  | torch.ao.quantization.fx.fuse |  | 
     
       |  | torch.ao.quantization.fx.fuse_handler |  | 
     
       |  | torch.ao.quantization.fx.graph_module |  | 
     
       |  | torch.ao.quantization.fx.lower_to_fbgemm |  | 
     
       |  | torch.ao.quantization.fx.lower_to_qnnpack |  | 
     
       |  | torch.ao.quantization.fx.lstm_utils |  | 
     
       |  | torch.ao.quantization.fx.match_utils |  | 
     
       |  | torch.ao.quantization.fx.pattern_utils |  | 
     
       |  | torch.ao.quantization.fx.prepare |  | 
     
       |  | torch.ao.quantization.fx.qconfig_mapping_utils |  | 
     
       |  | torch.ao.quantization.fx.quantize_handler |  | 
     
       |  | torch.ao.quantization.fx.tracer |  | 
     
       |  | torch.ao.quantization.fx.utils |  | 
     
       |  | torch.ao.quantization.observer |  | 
     
       |  | torch.ao.quantization.pt2e |  | 
     
       |  | torch.ao.quantization.pt2e.duplicate_dq_pass |  | 
     
       |  | torch.ao.quantization.pt2e.export_utils |  | 
     
       |  | torch.ao.quantization.pt2e.generate_numeric_debug_handle |  | 
     
       |  | torch.ao.quantization.pt2e.graph_utils |  | 
     
       |  | torch.ao.quantization.pt2e.port_metadata_pass |  | 
     
       |  | torch.ao.quantization.pt2e.prepare |  | 
     
       |  | torch.ao.quantization.pt2e.qat_utils |  | 
     
       |  | torch.ao.quantization.pt2e.representation |  | 
     
       |  | torch.ao.quantization.pt2e.representation.rewrite |  | 
     
       |  | torch.ao.quantization.pt2e.utils |  | 
     
       |  | torch.ao.quantization.qconfig |  | 
     
       |  | torch.ao.quantization.qconfig_mapping |  | 
     
       |  | torch.ao.quantization.quant_type |  | 
     
       |  | torch.ao.quantization.quantization_mappings |  | 
     
       |  | torch.ao.quantization.quantize_fx |  | 
     
       |  | torch.ao.quantization.quantize_jit |  | 
     
       |  | torch.ao.quantization.quantize_pt2e |  | 
     
       |  | torch.ao.quantization.quantizer |  | 
     
       |  | torch.ao.quantization.quantizer.composable_quantizer |  | 
     
       |  | torch.ao.quantization.quantizer.embedding_quantizer |  | 
     
       |  | torch.ao.quantization.quantizer.quantizer |  | 
     
       |  | torch.ao.quantization.quantizer.utils |  | 
     
       |  | torch.ao.quantization.quantizer.x86_inductor_quantizer |  | 
     
       |  | torch.ao.quantization.quantizer.xnnpack_quantizer |  | 
     
       |  | torch.ao.quantization.quantizer.xnnpack_quantizer_utils |  | 
     
       |  | torch.ao.quantization.stubs |  | 
     
       |  | torch.ao.quantization.utils |  | 
     
       |  | torch.autograd |  | 
     
       |  | torch.autograd.anomaly_mode |  | 
     
       |  | torch.autograd.forward_ad |  | 
     
       |  | torch.autograd.function |  | 
     
       |  | torch.autograd.functional |  | 
     
       |  | torch.autograd.grad_mode |  | 
     
       |  | torch.autograd.gradcheck |  | 
     
       |  | torch.autograd.graph |  | 
     
       |  | torch.autograd.profiler |  | 
     
       |  | torch.autograd.profiler_legacy |  | 
     
       |  | torch.autograd.profiler_util |  | 
     
       |  | torch.autograd.variable |  | 
     
       |  | torch.backends |  | 
     
       |  | torch.backends.cpu |  | 
     
       |  | torch.backends.cuda |  | 
     
       |  | torch.backends.cudnn |  | 
     
       |  | torch.backends.cudnn.rnn |  | 
     
       |  | torch.backends.mha |  | 
     
       |  | torch.backends.mkl |  | 
     
       |  | torch.backends.mkldnn |  | 
     
       |  | torch.backends.mps |  | 
     
       |  | torch.backends.nnpack |  | 
     
       |  | torch.backends.openmp |  | 
     
       |  | torch.backends.opt_einsum |  | 
     
       |  | torch.backends.quantized |  | 
     
       |  | torch.backends.xeon |  | 
     
       |  | torch.backends.xeon.run_cpu |  | 
     
       |  | torch.backends.xnnpack |  | 
     
       |  | torch.compiler |  | 
     
       |  | torch.contrib |  | 
     
       |  | torch.cpu |  | 
     
       |  | torch.cpu.amp |  | 
     
       |  | torch.cpu.amp.autocast_mode |  | 
     
       |  | torch.cpu.amp.grad_scaler |  | 
     
       |  | torch.cuda |  | 
     
       |  | torch.cuda._sanitizer |  | 
     
       |  | torch.cuda.amp |  | 
     
       |  | torch.cuda.amp.autocast_mode |  | 
     
       |  | torch.cuda.amp.common |  | 
     
       |  | torch.cuda.amp.grad_scaler |  | 
     
       |  | torch.cuda.comm |  | 
     
       |  | torch.cuda.error |  | 
     
       |  | torch.cuda.graphs |  | 
     
       |  | torch.cuda.jiterator |  | 
     
       |  | torch.cuda.memory |  | 
     
       |  | torch.cuda.nccl |  | 
     
       |  | torch.cuda.nvtx |  | 
     
       |  | torch.cuda.profiler |  | 
     
       |  | torch.cuda.random |  | 
     
       |  | torch.cuda.sparse |  | 
     
       |  | torch.cuda.streams |  | 
     
       |  | torch.cuda.tunable |  | 
     
       |  | torch.distributed |  | 
     
       |  | torch.distributed.algorithms |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks.ddp_zero_hook |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks.debugging_hooks |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks.default_hooks |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks.mixed_precision_hooks |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks.optimizer_overlap_hooks |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks.powerSGD_hook |  | 
     
       |  | torch.distributed.algorithms.ddp_comm_hooks.quantization_hooks |  | 
     
       |  | torch.distributed.algorithms.join |  | 
     
       |  | torch.distributed.algorithms.model_averaging |  | 
     
       |  | torch.distributed.algorithms.model_averaging.averagers |  | 
     
       |  | torch.distributed.algorithms.model_averaging.hierarchical_model_averager |  | 
     
       |  | torch.distributed.algorithms.model_averaging.utils |  | 
     
       |  | torch.distributed.argparse_util |  | 
     
       |  | torch.distributed.autograd |  | 
     
       |  | torch.distributed.c10d_logger |  | 
     
       |  | torch.distributed.checkpoint |  | 
     
       |  | torch.distributed.checkpoint.api |  | 
     
       |  | torch.distributed.checkpoint.default_planner |  | 
     
       |  | torch.distributed.checkpoint.filesystem |  | 
     
       |  | torch.distributed.checkpoint.format_utils |  | 
     
       |  | torch.distributed.checkpoint.logger |  | 
     
       |  | torch.distributed.checkpoint.logging_handlers |  | 
     
       |  | torch.distributed.checkpoint.metadata |  | 
     
       |  | torch.distributed.checkpoint.optimizer |  | 
     
       |  | torch.distributed.checkpoint.planner |  | 
     
       |  | torch.distributed.checkpoint.planner_helpers |  | 
     
       |  | torch.distributed.checkpoint.resharding |  | 
     
       |  | torch.distributed.checkpoint.staging |  | 
     
       |  | torch.distributed.checkpoint.state_dict |  | 
     
       |  | torch.distributed.checkpoint.state_dict_loader |  | 
     
       |  | torch.distributed.checkpoint.state_dict_saver |  | 
     
       |  | torch.distributed.checkpoint.stateful |  | 
     
       |  | torch.distributed.checkpoint.storage |  | 
     
       |  | torch.distributed.checkpoint.utils |  | 
     
       |  | torch.distributed.collective_utils |  | 
     
       |  | torch.distributed.constants |  | 
     
       |  | torch.distributed.device_mesh |  | 
     
       |  | torch.distributed.distributed_c10d |  | 
     
       |  | torch.distributed.elastic |  | 
     
       |  | torch.distributed.elastic.agent |  | 
     
       |  | torch.distributed.elastic.agent.server |  | 
     
       |  | torch.distributed.elastic.agent.server.api |  | 
     
       |  | torch.distributed.elastic.agent.server.health_check_server |  | 
     
       |  | torch.distributed.elastic.agent.server.local_elastic_agent |  | 
     
       |  | torch.distributed.elastic.control_plane |  | 
     
       |  | torch.distributed.elastic.events |  | 
     
       |  | torch.distributed.elastic.events.api |  | 
     
       |  | torch.distributed.elastic.events.handlers |  | 
     
       |  | torch.distributed.elastic.metrics |  | 
     
       |  | torch.distributed.elastic.metrics.api |  | 
     
       |  | torch.distributed.elastic.multiprocessing |  | 
     
       |  | torch.distributed.elastic.multiprocessing.api |  | 
     
       |  | torch.distributed.elastic.multiprocessing.errors |  | 
     
       |  | torch.distributed.elastic.multiprocessing.errors.error_handler |  | 
     
       |  | torch.distributed.elastic.multiprocessing.errors.handlers |  | 
     
       |  | torch.distributed.elastic.multiprocessing.redirects |  | 
     
       |  | torch.distributed.elastic.multiprocessing.subprocess_handler |  | 
     
       |  | torch.distributed.elastic.multiprocessing.subprocess_handler.handlers |  | 
     
       |  | torch.distributed.elastic.multiprocessing.subprocess_handler.subprocess_handler |  | 
     
       |  | torch.distributed.elastic.multiprocessing.tail_log |  | 
     
       |  | torch.distributed.elastic.rendezvous |  | 
     
       |  | torch.distributed.elastic.rendezvous.api |  | 
     
       |  | torch.distributed.elastic.rendezvous.c10d_rendezvous_backend |  | 
     
       |  | torch.distributed.elastic.rendezvous.dynamic_rendezvous |  | 
     
       |  | torch.distributed.elastic.rendezvous.etcd_rendezvous |  | 
     
       |  | torch.distributed.elastic.rendezvous.etcd_rendezvous_backend |  | 
     
       |  | torch.distributed.elastic.rendezvous.etcd_server |  | 
     
       |  | torch.distributed.elastic.rendezvous.etcd_store |  | 
     
       |  | torch.distributed.elastic.rendezvous.registry |  | 
     
       |  | torch.distributed.elastic.rendezvous.static_tcp_rendezvous |  | 
     
       |  | torch.distributed.elastic.rendezvous.utils |  | 
     
       |  | torch.distributed.elastic.timer |  | 
     
       |  | torch.distributed.elastic.timer.api |  | 
     
       |  | torch.distributed.elastic.timer.debug_info_logging |  | 
     
       |  | torch.distributed.elastic.timer.file_based_local_timer |  | 
     
       |  | torch.distributed.elastic.timer.local_timer |  | 
     
       |  | torch.distributed.elastic.utils |  | 
     
       |  | torch.distributed.elastic.utils.api |  | 
     
       |  | torch.distributed.elastic.utils.data |  | 
     
       |  | torch.distributed.elastic.utils.data.cycling_iterator |  | 
     
       |  | torch.distributed.elastic.utils.data.elastic_distributed_sampler |  | 
     
       |  | torch.distributed.elastic.utils.distributed |  | 
     
       |  | torch.distributed.elastic.utils.log_level |  | 
     
       |  | torch.distributed.elastic.utils.logging |  | 
     
       |  | torch.distributed.elastic.utils.store |  | 
     
       |  | torch.distributed.fsdp |  | 
     
       |  | torch.distributed.fsdp.api |  | 
     
       |  | torch.distributed.fsdp.fully_sharded_data_parallel |  | 
     
       |  | torch.distributed.fsdp.sharded_grad_scaler |  | 
     
       |  | torch.distributed.fsdp.wrap |  | 
     
       |  | torch.distributed.launch |  | 
     
       |  | torch.distributed.launcher |  | 
     
       |  | torch.distributed.launcher.api |  | 
     
       |  | torch.distributed.logging_handlers |  | 
     
       |  | torch.distributed.nn |  | 
     
       |  | torch.distributed.nn.api |  | 
     
       |  | torch.distributed.nn.api.remote_module |  | 
     
       |  | torch.distributed.nn.functional |  | 
     
       |  | torch.distributed.nn.jit |  | 
     
       |  | torch.distributed.nn.jit.instantiator |  | 
     
       |  | torch.distributed.nn.jit.templates |  | 
     
       |  | torch.distributed.nn.jit.templates.remote_module_template |  | 
     
       |  | torch.distributed.optim |  | 
     
       |  | torch.distributed.optim.apply_optimizer_in_backward |  | 
     
       |  | torch.distributed.optim.functional_adadelta |  | 
     
       |  | torch.distributed.optim.functional_adagrad |  | 
     
       |  | torch.distributed.optim.functional_adam |  | 
     
       |  | torch.distributed.optim.functional_adamax |  | 
     
       |  | torch.distributed.optim.functional_adamw |  | 
     
       |  | torch.distributed.optim.functional_rmsprop |  | 
     
       |  | torch.distributed.optim.functional_rprop |  | 
     
       |  | torch.distributed.optim.functional_sgd |  | 
     
       |  | torch.distributed.optim.named_optimizer |  | 
     
       |  | torch.distributed.optim.optimizer |  | 
     
       |  | torch.distributed.optim.post_localSGD_optimizer |  | 
     
       |  | torch.distributed.optim.utils |  | 
     
       |  | torch.distributed.optim.zero_redundancy_optimizer |  | 
     
       |  | torch.distributed.pipelining |  | 
     
       |  | torch.distributed.pipelining.microbatch |  | 
     
       |  | torch.distributed.pipelining.schedules |  | 
     
       |  | torch.distributed.pipelining.stage |  | 
     
       |  | torch.distributed.remote_device |  | 
     
       |  | torch.distributed.rendezvous |  | 
     
       |  | torch.distributed.rpc |  | 
     
       |  | torch.distributed.rpc.api |  | 
     
       |  | torch.distributed.rpc.backend_registry |  | 
     
       |  | torch.distributed.rpc.constants |  | 
     
       |  | torch.distributed.rpc.functions |  | 
     
       |  | torch.distributed.rpc.internal |  | 
     
       |  | torch.distributed.rpc.options |  | 
     
       |  | torch.distributed.rpc.rref_proxy |  | 
     
       |  | torch.distributed.rpc.server_process_global_profiler |  | 
     
       |  | torch.distributed.run |  | 
     
       |  | torch.distributed.tensor |  | 
     
       |  | torch.distributed.tensor.parallel |  | 
     
       |  | torch.distributed.tensor.parallel.api |  | 
     
       |  | torch.distributed.tensor.parallel.ddp |  | 
     
       |  | torch.distributed.tensor.parallel.fsdp |  | 
     
       |  | torch.distributed.tensor.parallel.input_reshard |  | 
     
       |  | torch.distributed.tensor.parallel.loss |  | 
     
       |  | torch.distributed.tensor.parallel.style |  | 
     
       |  | torch.distributed.utils |  | 
     
       |  | torch.distributions |  | 
     
       |  | torch.distributions.bernoulli |  | 
     
       |  | torch.distributions.beta |  | 
     
       |  | torch.distributions.binomial |  | 
     
       |  | torch.distributions.categorical |  | 
     
       |  | torch.distributions.cauchy |  | 
     
       |  | torch.distributions.chi2 |  | 
     
       |  | torch.distributions.constraint_registry |  | 
     
       |  | torch.distributions.constraints |  | 
     
       |  | torch.distributions.continuous_bernoulli |  | 
     
       |  | torch.distributions.dirichlet |  | 
     
       |  | torch.distributions.distribution |  | 
     
       |  | torch.distributions.exp_family |  | 
     
       |  | torch.distributions.exponential |  | 
     
       |  | torch.distributions.fishersnedecor |  | 
     
       |  | torch.distributions.gamma |  | 
     
       |  | torch.distributions.geometric |  | 
     
       |  | torch.distributions.gumbel |  | 
     
       |  | torch.distributions.half_cauchy |  | 
     
       |  | torch.distributions.half_normal |  | 
     
       |  | torch.distributions.independent |  | 
     
       |  | torch.distributions.inverse_gamma |  | 
     
       |  | torch.distributions.kl |  | 
     
       |  | torch.distributions.kumaraswamy |  | 
     
       |  | torch.distributions.laplace |  | 
     
       |  | torch.distributions.lkj_cholesky |  | 
     
       |  | torch.distributions.log_normal |  | 
     
       |  | torch.distributions.logistic_normal |  | 
     
       |  | torch.distributions.lowrank_multivariate_normal |  | 
     
       |  | torch.distributions.mixture_same_family |  | 
     
       |  | torch.distributions.multinomial |  | 
     
       |  | torch.distributions.multivariate_normal |  | 
     
       |  | torch.distributions.negative_binomial |  | 
     
       |  | torch.distributions.normal |  | 
     
       |  | torch.distributions.one_hot_categorical |  | 
     
       |  | torch.distributions.pareto |  | 
     
       |  | torch.distributions.poisson |  | 
     
       |  | torch.distributions.relaxed_bernoulli |  | 
     
       |  | torch.distributions.relaxed_categorical |  | 
     
       |  | torch.distributions.studentT |  | 
     
       |  | torch.distributions.transformed_distribution |  | 
     
       |  | torch.distributions.transforms |  | 
     
       |  | torch.distributions.uniform |  | 
     
       |  | torch.distributions.utils |  | 
     
       |  | torch.distributions.von_mises |  | 
     
       |  | torch.distributions.weibull |  | 
     
       |  | torch.distributions.wishart |  | 
     
       |  | torch.export |  | 
     
       |  | torch.export.custom_obj |  | 
     
       |  | torch.export.dynamic_shapes |  | 
     
       |  | torch.export.exported_program |  | 
     
       |  | torch.export.graph_signature |  | 
     
       |  | torch.export.unflatten |  | 
     
       |  | torch.fft |  | 
     
       |  | torch.func |  | 
     
       |  | torch.functional |  | 
     
       |  | torch.futures |  | 
     
       |  | torch.fx |  | 
     
       |  | torch.fx.annotate |  | 
     
       |  | torch.fx.config |  | 
     
       |  | torch.fx.experimental |  | 
     
       |  | torch.fx.experimental.accelerator_partitioner |  | 
     
       |  | torch.fx.experimental.const_fold |  | 
     
       |  | torch.fx.experimental.debug |  | 
     
       |  | torch.fx.experimental.graph_gradual_typechecker |  | 
     
       |  | torch.fx.experimental.merge_matmul |  | 
     
       |  | torch.fx.experimental.meta_tracer |  | 
     
       |  | torch.fx.experimental.migrate_gradual_types |  | 
     
       |  | torch.fx.experimental.migrate_gradual_types.constraint |  | 
     
       |  | torch.fx.experimental.migrate_gradual_types.constraint_generator |  | 
     
       |  | torch.fx.experimental.migrate_gradual_types.constraint_transformation |  | 
     
       |  | torch.fx.experimental.migrate_gradual_types.operation |  | 
     
       |  | torch.fx.experimental.migrate_gradual_types.transform_to_z3 |  | 
     
       |  | torch.fx.experimental.migrate_gradual_types.util |  | 
     
       |  | torch.fx.experimental.migrate_gradual_types.z3_types |  | 
     
       |  | torch.fx.experimental.normalize |  | 
     
       |  | torch.fx.experimental.optimization |  | 
     
       |  | torch.fx.experimental.partitioner_utils |  | 
     
       |  | torch.fx.experimental.proxy_tensor |  | 
     
       |  | torch.fx.experimental.recording |  | 
     
       |  | torch.fx.experimental.refinement_types |  | 
     
       |  | torch.fx.experimental.rewriter |  | 
     
       |  | torch.fx.experimental.schema_type_annotation |  | 
     
       |  | torch.fx.experimental.sym_node |  | 
     
       |  | torch.fx.experimental.symbolic_shapes |  | 
     
       |  | torch.fx.experimental.unification |  | 
     
       |  | torch.fx.experimental.unification.core |  | 
     
       |  | torch.fx.experimental.unification.dispatch |  | 
     
       |  | torch.fx.experimental.unification.match |  | 
     
       |  | torch.fx.experimental.unification.more |  | 
     
       |  | torch.fx.experimental.unification.multipledispatch |  | 
     
       |  | torch.fx.experimental.unification.multipledispatch.conflict |  | 
     
       |  | torch.fx.experimental.unification.multipledispatch.core |  | 
     
       |  | torch.fx.experimental.unification.multipledispatch.dispatcher |  | 
     
       |  | torch.fx.experimental.unification.multipledispatch.utils |  | 
     
       |  | torch.fx.experimental.unification.multipledispatch.variadic |  | 
     
       |  | torch.fx.experimental.unification.unification_tools |  | 
     
       |  | torch.fx.experimental.unification.utils |  | 
     
       |  | torch.fx.experimental.unification.variable |  | 
     
       |  | torch.fx.experimental.unify_refinements |  | 
     
       |  | torch.fx.experimental.validator |  | 
     
       |  | torch.fx.graph |  | 
     
       |  | torch.fx.graph_module |  | 
     
       |  | torch.fx.immutable_collections |  | 
     
       |  | torch.fx.interpreter |  | 
     
       |  | torch.fx.node |  | 
     
       |  | torch.fx.operator_schemas |  | 
     
       |  | torch.fx.passes |  | 
     
       |  | torch.fx.passes.annotate_getitem_nodes |  | 
     
       |  | torch.fx.passes.backends |  | 
     
       |  | torch.fx.passes.backends.cudagraphs |  | 
     
       |  | torch.fx.passes.dialect |  | 
     
       |  | torch.fx.passes.dialect.common |  | 
     
       |  | torch.fx.passes.dialect.common.cse_pass |  | 
     
       |  | torch.fx.passes.fake_tensor_prop |  | 
     
       |  | torch.fx.passes.graph_drawer |  | 
     
       |  | torch.fx.passes.graph_manipulation |  | 
     
       |  | torch.fx.passes.graph_transform_observer |  | 
     
       |  | torch.fx.passes.infra |  | 
     
       |  | torch.fx.passes.infra.partitioner |  | 
     
       |  | torch.fx.passes.infra.pass_base |  | 
     
       |  | torch.fx.passes.infra.pass_manager |  | 
     
       |  | torch.fx.passes.net_min_base |  | 
     
       |  | torch.fx.passes.operator_support |  | 
     
       |  | torch.fx.passes.param_fetch |  | 
     
       |  | torch.fx.passes.pass_manager |  | 
     
       |  | torch.fx.passes.reinplace |  | 
     
       |  | torch.fx.passes.runtime_assert |  | 
     
       |  | torch.fx.passes.shape_prop |  | 
     
       |  | torch.fx.passes.split_module |  | 
     
       |  | torch.fx.passes.split_utils |  | 
     
       |  | torch.fx.passes.splitter_base |  | 
     
       |  | torch.fx.passes.tests |  | 
     
       |  | torch.fx.passes.tests.test_pass_manager |  | 
     
       |  | torch.fx.passes.tools_common |  | 
     
       |  | torch.fx.passes.utils |  | 
     
       |  | torch.fx.passes.utils.common |  | 
     
       |  | torch.fx.passes.utils.fuser_utils |  | 
     
       |  | torch.fx.passes.utils.matcher_utils |  | 
     
       |  | torch.fx.passes.utils.matcher_with_name_node_map_utils |  | 
     
       |  | torch.fx.passes.utils.source_matcher_utils |  | 
     
       |  | torch.fx.proxy |  | 
     
       |  | torch.fx.subgraph_rewriter |  | 
     
       |  | torch.fx.tensor_type |  | 
     
       |  | torch.fx.traceback |  | 
     
       |  | torch.hub |  | 
     
       |  | torch.jit |  | 
     
       |  | torch.jit.annotations |  | 
     
       |  | torch.jit.frontend |  | 
     
       |  | torch.jit.generate_bytecode |  | 
     
       |  | torch.jit.mobile |  | 
     
       |  | torch.jit.quantized |  | 
     
       |  | torch.jit.supported_ops |  | 
     
       |  | torch.jit.unsupported_tensor_ops |  | 
     
       |  | torch.library |  | 
     
       |  | torch.linalg |  | 
     
       |  | torch.masked |  | 
     
       |  | torch.masked.maskedtensor |  | 
     
       |  | torch.masked.maskedtensor.binary |  | 
     
       |  | torch.masked.maskedtensor.core |  | 
     
       |  | torch.masked.maskedtensor.creation |  | 
     
       |  | torch.masked.maskedtensor.passthrough |  | 
     
       |  | torch.masked.maskedtensor.reductions |  | 
     
       |  | torch.masked.maskedtensor.unary |  | 
     
       |  | torch.monitor |  | 
     
       |  | torch.mps |  | 
     
       |  | torch.mps.event |  | 
     
       |  | torch.mps.profiler |  | 
     
       |  | torch.mtia |  | 
     
       |  | torch.multiprocessing |  | 
     
       |  | torch.multiprocessing.pool |  | 
     
       |  | torch.multiprocessing.queue |  | 
     
       |  | torch.multiprocessing.reductions |  | 
     
       |  | torch.multiprocessing.spawn |  | 
     
       |  | torch.nested |  | 
     
       |  | torch.nn |  | 
     
       |  | torch.nn.attention |  | 
     
       |  | torch.nn.attention.bias |  | 
     
       |  | torch.nn.backends |  | 
     
       |  | torch.nn.backends.thnn |  | 
     
       |  | torch.nn.common_types |  | 
     
       |  | torch.nn.cpp |  | 
     
       |  | torch.nn.functional |  | 
     
       |  | torch.nn.grad |  | 
     
       |  | torch.nn.init |  | 
     
       |  | torch.nn.intrinsic |  | 
     
       |  | torch.nn.intrinsic.modules |  | 
     
       |  | torch.nn.intrinsic.modules.fused |  | 
     
       |  | torch.nn.intrinsic.qat |  | 
     
       |  | torch.nn.intrinsic.qat.modules |  | 
     
       |  | torch.nn.intrinsic.qat.modules.conv_fused |  | 
     
       |  | torch.nn.intrinsic.qat.modules.linear_fused |  | 
     
       |  | torch.nn.intrinsic.qat.modules.linear_relu |  | 
     
       |  | torch.nn.intrinsic.quantized |  | 
     
       |  | torch.nn.intrinsic.quantized.dynamic |  | 
     
       |  | torch.nn.intrinsic.quantized.dynamic.modules |  | 
     
       |  | torch.nn.intrinsic.quantized.dynamic.modules.linear_relu |  | 
     
       |  | torch.nn.intrinsic.quantized.modules |  | 
     
       |  | torch.nn.intrinsic.quantized.modules.bn_relu |  | 
     
       |  | torch.nn.intrinsic.quantized.modules.conv_relu |  | 
     
       |  | torch.nn.intrinsic.quantized.modules.linear_relu |  | 
     
       |  | torch.nn.modules |  | 
     
       |  | torch.nn.modules.activation |  | 
     
       |  | torch.nn.modules.adaptive |  | 
     
       |  | torch.nn.modules.batchnorm |  | 
     
       |  | torch.nn.modules.channelshuffle |  | 
     
       |  | torch.nn.modules.container |  | 
     
       |  | torch.nn.modules.conv |  | 
     
       |  | torch.nn.modules.distance |  | 
     
       |  | torch.nn.modules.dropout |  | 
     
       |  | torch.nn.modules.flatten |  | 
     
       |  | torch.nn.modules.fold |  | 
     
       |  | torch.nn.modules.instancenorm |  | 
     
       |  | torch.nn.modules.lazy |  | 
     
       |  | torch.nn.modules.linear |  | 
     
       |  | torch.nn.modules.loss |  | 
     
       |  | torch.nn.modules.module |  | 
     
       |  | torch.nn.modules.normalization |  | 
     
       |  | torch.nn.modules.padding |  | 
     
       |  | torch.nn.modules.pixelshuffle |  | 
     
       |  | torch.nn.modules.pooling |  | 
     
       |  | torch.nn.modules.rnn |  | 
     
       |  | torch.nn.modules.sparse |  | 
     
       |  | torch.nn.modules.transformer |  | 
     
       |  | torch.nn.modules.upsampling |  | 
     
       |  | torch.nn.modules.utils |  | 
     
       |  | torch.nn.parallel |  | 
     
       |  | torch.nn.parallel.comm |  | 
     
       |  | torch.nn.parallel.distributed |  | 
     
       |  | torch.nn.parallel.parallel_apply |  | 
     
       |  | torch.nn.parallel.replicate |  | 
     
       |  | torch.nn.parallel.scatter_gather |  | 
     
       |  | torch.nn.parameter |  | 
     
       |  | torch.nn.qat |  | 
     
       |  | torch.nn.qat.dynamic |  | 
     
       |  | torch.nn.qat.dynamic.modules |  | 
     
       |  | torch.nn.qat.dynamic.modules.linear |  | 
     
       |  | torch.nn.qat.modules |  | 
     
       |  | torch.nn.qat.modules.conv |  | 
     
       |  | torch.nn.qat.modules.embedding_ops |  | 
     
       |  | torch.nn.qat.modules.linear |  | 
     
       |  | torch.nn.quantizable |  | 
     
       |  | torch.nn.quantizable.modules |  | 
     
       |  | torch.nn.quantizable.modules.activation |  | 
     
       |  | torch.nn.quantizable.modules.rnn |  | 
     
       |  | torch.nn.quantized |  | 
     
       |  | torch.nn.quantized.dynamic |  | 
     
       |  | torch.nn.quantized.dynamic.modules |  | 
     
       |  | torch.nn.quantized.dynamic.modules.conv |  | 
     
       |  | torch.nn.quantized.dynamic.modules.linear |  | 
     
       |  | torch.nn.quantized.dynamic.modules.rnn |  | 
     
       |  | torch.nn.quantized.functional |  | 
     
       |  | torch.nn.quantized.modules |  | 
     
       |  | torch.nn.quantized.modules.activation |  | 
     
       |  | torch.nn.quantized.modules.batchnorm |  | 
     
       |  | torch.nn.quantized.modules.conv |  | 
     
       |  | torch.nn.quantized.modules.dropout |  | 
     
       |  | torch.nn.quantized.modules.embedding_ops |  | 
     
       |  | torch.nn.quantized.modules.functional_modules |  | 
     
       |  | torch.nn.quantized.modules.linear |  | 
     
       |  | torch.nn.quantized.modules.normalization |  | 
     
       |  | torch.nn.quantized.modules.rnn |  | 
     
       |  | torch.nn.quantized.modules.utils |  | 
     
       |  | torch.nn.utils |  | 
     
       |  | torch.nn.utils.clip_grad |  | 
     
       |  | torch.nn.utils.convert_parameters |  | 
     
       |  | torch.nn.utils.fusion |  | 
     
       |  | torch.nn.utils.init |  | 
     
       |  | torch.nn.utils.memory_format |  | 
     
       |  | torch.nn.utils.parametrizations |  | 
     
       |  | torch.nn.utils.parametrize |  | 
     
       |  | torch.nn.utils.prune |  | 
     
       |  | torch.nn.utils.rnn |  | 
     
       |  | torch.nn.utils.stateless |  | 
     
       |  | torch.onnx |  | 
     
       |  | torch.onnx.errors |  | 
     
       |  | torch.onnx.operators |  | 
     
       |  | torch.onnx.symbolic_caffe2 |  | 
     
       |  | torch.onnx.symbolic_helper |  | 
     
       |  | torch.onnx.symbolic_opset10 |  | 
     
       |  | torch.onnx.symbolic_opset11 |  | 
     
       |  | torch.onnx.symbolic_opset12 |  | 
     
       |  | torch.onnx.symbolic_opset13 |  | 
     
       |  | torch.onnx.symbolic_opset14 |  | 
     
       |  | torch.onnx.symbolic_opset15 |  | 
     
       |  | torch.onnx.symbolic_opset16 |  | 
     
       |  | torch.onnx.symbolic_opset17 |  | 
     
       |  | torch.onnx.symbolic_opset18 |  | 
     
       |  | torch.onnx.symbolic_opset19 |  | 
     
       |  | torch.onnx.symbolic_opset20 |  | 
     
       |  | torch.onnx.symbolic_opset7 |  | 
     
       |  | torch.onnx.symbolic_opset8 |  | 
     
       |  | torch.onnx.symbolic_opset9 |  | 
     
       |  | torch.onnx.utils |  | 
     
       |  | torch.onnx.verification |  | 
     
       |  | torch.optim |  | 
     
       |  | torch.optim.adadelta |  | 
     
       |  | torch.optim.adagrad |  | 
     
       |  | torch.optim.adam |  | 
     
       |  | torch.optim.adamax |  | 
     
       |  | torch.optim.adamw |  | 
     
       |  | torch.optim.asgd |  | 
     
       |  | torch.optim.lbfgs |  | 
     
       |  | torch.optim.lr_scheduler |  | 
     
       |  | torch.optim.nadam |  | 
     
       |  | torch.optim.optimizer |  | 
     
       |  | torch.optim.radam |  | 
     
       |  | torch.optim.rmsprop |  | 
     
       |  | torch.optim.rprop |  | 
     
       |  | torch.optim.sgd |  | 
     
       |  | torch.optim.sparse_adam |  | 
     
       |  | torch.optim.swa_utils |  | 
     
       |  | torch.overrides |  | 
     
       |  | torch.package |  | 
     
       |  | torch.package.analyze |  | 
     
       |  | torch.package.analyze.find_first_use_of_broken_modules |  | 
     
       |  | torch.package.analyze.is_from_package |  | 
     
       |  | torch.package.analyze.trace_dependencies |  | 
     
       |  | torch.package.file_structure_representation |  | 
     
       |  | torch.package.find_file_dependencies |  | 
     
       |  | torch.package.glob_group |  | 
     
       |  | torch.package.importer |  | 
     
       |  | torch.package.package_exporter |  | 
     
       |  | torch.package.package_importer |  | 
     
       |  | torch.profiler |  | 
     
       |  | torch.profiler.itt |  | 
     
       |  | torch.profiler.profiler |  | 
     
       |  | torch.profiler.python_tracer |  | 
     
       |  | torch.quantization |  | 
     
       |  | torch.quantization.fake_quantize |  | 
     
       |  | torch.quantization.fuse_modules |  | 
     
       |  | torch.quantization.fuser_method_mappings |  | 
     
       |  | torch.quantization.fx |  | 
     
       |  | torch.quantization.fx.convert |  | 
     
       |  | torch.quantization.fx.fuse |  | 
     
       |  | torch.quantization.fx.fusion_patterns |  | 
     
       |  | torch.quantization.fx.graph_module |  | 
     
       |  | torch.quantization.fx.match_utils |  | 
     
       |  | torch.quantization.fx.pattern_utils |  | 
     
       |  | torch.quantization.fx.prepare |  | 
     
       |  | torch.quantization.fx.quantization_patterns |  | 
     
       |  | torch.quantization.fx.quantization_types |  | 
     
       |  | torch.quantization.fx.utils |  | 
     
       |  | torch.quantization.observer |  | 
     
       |  | torch.quantization.qconfig |  | 
     
       |  | torch.quantization.quant_type |  | 
     
       |  | torch.quantization.quantization_mappings |  | 
     
       |  | torch.quantization.quantize |  | 
     
       |  | torch.quantization.quantize_fx |  | 
     
       |  | torch.quantization.quantize_jit |  | 
     
       |  | torch.quantization.stubs |  | 
     
       |  | torch.quantization.utils |  | 
     
       |  | torch.quasirandom |  | 
     
       |  | torch.random |  | 
     
       |  | torch.return_types |  | 
     
       |  | torch.serialization |  | 
     
       |  | torch.signal |  | 
     
       |  | torch.signal.windows |  | 
     
       |  | torch.signal.windows.windows |  | 
     
       |  | torch.sparse |  | 
     
       |  | torch.sparse.semi_structured |  | 
     
       |  | torch.special |  | 
     
       |  | torch.storage |  | 
     
       |  | torch.testing |  | 
     
       |  | torch.torch_version |  | 
     
       |  | torch.types |  | 
     
       |  | torch.utils |  | 
     
       |  | torch.utils.backcompat |  | 
     
       |  | torch.utils.backend_registration |  | 
     
       |  | torch.utils.benchmark |  | 
     
       |  | torch.utils.benchmark.examples |  | 
     
       |  | torch.utils.benchmark.examples.blas_compare_setup |  | 
     
       |  | torch.utils.benchmark.examples.compare |  | 
     
       |  | torch.utils.benchmark.examples.fuzzer |  | 
     
       |  | torch.utils.benchmark.examples.op_benchmark |  | 
     
       |  | torch.utils.benchmark.examples.simple_timeit |  | 
     
       |  | torch.utils.benchmark.examples.spectral_ops_fuzz_test |  | 
     
       |  | torch.utils.benchmark.op_fuzzers |  | 
     
       |  | torch.utils.benchmark.op_fuzzers.binary |  | 
     
       |  | torch.utils.benchmark.op_fuzzers.sparse_binary |  | 
     
       |  | torch.utils.benchmark.op_fuzzers.sparse_unary |  | 
     
       |  | torch.utils.benchmark.op_fuzzers.spectral |  | 
     
       |  | torch.utils.benchmark.op_fuzzers.unary |  | 
     
       |  | torch.utils.benchmark.utils |  | 
     
       |  | torch.utils.benchmark.utils.common |  | 
     
       |  | torch.utils.benchmark.utils.compare |  | 
     
       |  | torch.utils.benchmark.utils.compile |  | 
     
       |  | torch.utils.benchmark.utils.cpp_jit |  | 
     
       |  | torch.utils.benchmark.utils.fuzzer |  | 
     
       |  | torch.utils.benchmark.utils.sparse_fuzzer |  | 
     
       |  | torch.utils.benchmark.utils.timer |  | 
     
       |  | torch.utils.benchmark.utils.valgrind_wrapper |  | 
     
       |  | torch.utils.benchmark.utils.valgrind_wrapper.timer_interface |  | 
     
       |  | torch.utils.bottleneck |  | 
     
       |  | torch.utils.bundled_inputs |  | 
     
       |  | torch.utils.checkpoint |  | 
     
       |  | torch.utils.collect_env |  | 
     
       |  | torch.utils.cpp_backtrace |  | 
     
       |  | torch.utils.cpp_extension |  | 
     
       |  | torch.utils.data |  | 
     
       |  | torch.utils.data.backward_compatibility |  | 
     
       |  | torch.utils.data.dataloader |  | 
     
       |  | torch.utils.data.datapipes |  | 
     
       |  | torch.utils.data.datapipes.dataframe |  | 
     
       |  | torch.utils.data.datapipes.dataframe.dataframe_wrapper |  | 
     
       |  | torch.utils.data.datapipes.dataframe.dataframes |  | 
     
       |  | torch.utils.data.datapipes.dataframe.datapipes |  | 
     
       |  | torch.utils.data.datapipes.dataframe.structures |  | 
     
       |  | torch.utils.data.datapipes.datapipe |  | 
     
       |  | torch.utils.data.datapipes.gen_pyi |  | 
     
       |  | torch.utils.data.datapipes.iter |  | 
     
       |  | torch.utils.data.datapipes.iter.callable |  | 
     
       |  | torch.utils.data.datapipes.iter.combinatorics |  | 
     
       |  | torch.utils.data.datapipes.iter.combining |  | 
     
       |  | torch.utils.data.datapipes.iter.filelister |  | 
     
       |  | torch.utils.data.datapipes.iter.fileopener |  | 
     
       |  | torch.utils.data.datapipes.iter.grouping |  | 
     
       |  | torch.utils.data.datapipes.iter.routeddecoder |  | 
     
       |  | torch.utils.data.datapipes.iter.selecting |  | 
     
       |  | torch.utils.data.datapipes.iter.sharding |  | 
     
       |  | torch.utils.data.datapipes.iter.streamreader |  | 
     
       |  | torch.utils.data.datapipes.iter.utils |  | 
     
       |  | torch.utils.data.datapipes.map |  | 
     
       |  | torch.utils.data.datapipes.map.callable |  | 
     
       |  | torch.utils.data.datapipes.map.combinatorics |  | 
     
       |  | torch.utils.data.datapipes.map.combining |  | 
     
       |  | torch.utils.data.datapipes.map.grouping |  | 
     
       |  | torch.utils.data.datapipes.map.utils |  | 
     
       |  | torch.utils.data.datapipes.utils |  | 
     
       |  | torch.utils.data.datapipes.utils.common |  | 
     
       |  | torch.utils.data.datapipes.utils.decoder |  | 
     
       |  | torch.utils.data.datapipes.utils.snapshot |  | 
     
       |  | torch.utils.data.dataset |  | 
     
       |  | torch.utils.data.distributed |  | 
     
       |  | torch.utils.data.graph |  | 
     
       |  | torch.utils.data.graph_settings |  | 
     
       |  | torch.utils.data.sampler |  | 
     
       |  | torch.utils.deterministic |  | 
     
       |  | torch.utils.dlpack |  | 
     
       |  | torch.utils.file_baton |  | 
     
       |  | torch.utils.flop_counter |  | 
     
       |  | torch.utils.hipify |  | 
     
       |  | torch.utils.hipify.constants |  | 
     
       |  | torch.utils.hipify.cuda_to_hip_mappings |  | 
     
       |  | torch.utils.hipify.hipify_python |  | 
     
       |  | torch.utils.hipify.version |  | 
     
       |  | torch.utils.hooks |  | 
     
       |  | torch.utils.jit |  | 
     
       |  | torch.utils.jit.log_extract |  | 
     
       |  | torch.utils.mkldnn |  | 
     
       |  | torch.utils.mobile_optimizer |  | 
     
       |  | torch.utils.model_dump |  | 
     
       |  | torch.utils.model_zoo |  | 
     
       |  | torch.utils.module_tracker |  | 
     
       |  | torch.utils.show_pickle |  | 
     
       |  | torch.utils.tensorboard |  | 
     
       |  | torch.utils.tensorboard.summary |  | 
     
       |  | torch.utils.tensorboard.writer |  | 
     
       |  | torch.utils.throughput_benchmark |  | 
     
       |  | torch.utils.viz |  | 
     
       |  | torch.utils.weak |  | 
     
       |  | torch.version |  | 
     
       |  | torch.xpu |  | 
     
       |  | torch.xpu.random |  | 
     
       |  | torch.xpu.streams |  |