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Latest development documentation · Updated 2026-09-08. A documentation snapshot for package 1.0.0.dev20260909 is not available.

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Python Module Index

t


	t
	`tensorplay`
	`tensorplay.amp.autocast_mode`
	`tensorplay.amp.grad_scaler`
	`tensorplay.cpu.amp`
	`tensorplay.cpu.amp.autocast_mode`
	`tensorplay.cpu.amp.grad_scaler`
	`tensorplay.cuda.amp`
	`tensorplay.cuda.amp.autocast_mode`
	`tensorplay.cuda.amp.common`
	`tensorplay.cuda.amp.grad_scaler`
	`tensorplay.distributed.algorithms`
	`tensorplay.distributed.algorithms.ddp_comm_hooks`
	`tensorplay.distributed.algorithms.ddp_comm_hooks.ddp_zero_hook`
	`tensorplay.distributed.algorithms.ddp_comm_hooks.debugging_hooks`
	`tensorplay.distributed.algorithms.ddp_comm_hooks.default_hooks`
	`tensorplay.distributed.algorithms.ddp_comm_hooks.mixed_precision_hooks`
	`tensorplay.distributed.algorithms.ddp_comm_hooks.optimizer_overlap_hooks`
	`tensorplay.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`
	`tensorplay.distributed.algorithms.ddp_comm_hooks.powerSGD_hook`
	`tensorplay.distributed.algorithms.ddp_comm_hooks.quantization_hooks`
	`tensorplay.distributed.algorithms.join`
	`tensorplay.distributed.algorithms.model_averaging`
	`tensorplay.distributed.algorithms.model_averaging.averagers`
	`tensorplay.distributed.algorithms.model_averaging.hierarchical_model_averager`
	`tensorplay.distributed.algorithms.model_averaging.utils`
	`tensorplay.distributed.argparse_util`
	`tensorplay.distributed.checkpoint.api`
	`tensorplay.distributed.checkpoint.default_planner`
	`tensorplay.distributed.checkpoint.filesystem`
	`tensorplay.distributed.checkpoint.hf_storage`
	`tensorplay.distributed.checkpoint.metadata`
	`tensorplay.distributed.checkpoint.optimizer`
	`tensorplay.distributed.checkpoint.planner`
	`tensorplay.distributed.checkpoint.planner_helpers`
	`tensorplay.distributed.checkpoint.quantized_hf_storage`
	`tensorplay.distributed.checkpoint.resharding`
	`tensorplay.distributed.checkpoint.state_dict`
	`tensorplay.distributed.checkpoint.state_dict_loader`
	`tensorplay.distributed.checkpoint.state_dict_saver`
	`tensorplay.distributed.checkpoint.stateful`
	`tensorplay.distributed.checkpoint.storage`
	`tensorplay.distributed.checkpoint.utils`
	`tensorplay.distributed.constants`
	`tensorplay.distributed.device_mesh`
	`tensorplay.distributed.distributed_core`
	`tensorplay.distributed.elastic`
	`tensorplay.distributed.elastic.agent.server.api`
	`tensorplay.distributed.elastic.agent.server.local_elastic_agent`
	`tensorplay.distributed.elastic.events.api`
	`tensorplay.distributed.elastic.events.handlers`
	`tensorplay.distributed.elastic.metrics.api`
	`tensorplay.distributed.elastic.multiprocessing.api`
	`tensorplay.distributed.elastic.multiprocessing.errors.error_handler`
	`tensorplay.distributed.elastic.multiprocessing.errors.handlers`
	`tensorplay.distributed.elastic.multiprocessing.redirects`
	`tensorplay.distributed.elastic.multiprocessing.tail_log`
	`tensorplay.distributed.elastic.rendezvous.api`
	`tensorplay.distributed.elastic.rendezvous.c10d_rendezvous_backend`
	`tensorplay.distributed.elastic.rendezvous.dynamic_rendezvous`
	`tensorplay.distributed.elastic.rendezvous.etcd_rendezvous`
	`tensorplay.distributed.elastic.rendezvous.etcd_rendezvous_backend`
	`tensorplay.distributed.elastic.rendezvous.etcd_server`
	`tensorplay.distributed.elastic.rendezvous.etcd_store`
	`tensorplay.distributed.elastic.rendezvous.static_tcp_rendezvous`
	`tensorplay.distributed.elastic.rendezvous.utils`
	`tensorplay.distributed.elastic.timer.api`
	`tensorplay.distributed.elastic.timer.file_based_local_timer`
	`tensorplay.distributed.elastic.timer.local_timer`
	`tensorplay.distributed.elastic.utils`
	`tensorplay.distributed.elastic.utils.api`
	`tensorplay.distributed.elastic.utils.data`
	`tensorplay.distributed.elastic.utils.data.cycling_iterator`
	`tensorplay.distributed.elastic.utils.data.elastic_distributed_sampler`
	`tensorplay.distributed.elastic.utils.distributed`
	`tensorplay.distributed.elastic.utils.log_level`
	`tensorplay.distributed.elastic.utils.logging`
	`tensorplay.distributed.elastic.utils.store`
	`tensorplay.distributed.fsdp.api`
	`tensorplay.distributed.fsdp.fully_sharded_data_parallel`
	`tensorplay.distributed.fsdp.sharded_grad_scaler`
	`tensorplay.distributed.fsdp.wrap`
	`tensorplay.distributed.launcher`
	`tensorplay.distributed.logging_handlers`
	`tensorplay.distributed.nn`
	`tensorplay.distributed.nn.api`
	`tensorplay.distributed.nn.api.remote_module`
	`tensorplay.distributed.nn.functional`
	`tensorplay.distributed.nn.jit`
	`tensorplay.distributed.nn.jit.instantiator`
	`tensorplay.distributed.nn.jit.templates`
	`tensorplay.distributed.nn.jit.templates.remote_module_template`
	`tensorplay.distributed.optim.apply_optimizer_in_backward`
	`tensorplay.distributed.optim.functional_adadelta`
	`tensorplay.distributed.optim.functional_adagrad`
	`tensorplay.distributed.optim.functional_adam`
	`tensorplay.distributed.optim.functional_adamax`
	`tensorplay.distributed.optim.functional_adamw`
	`tensorplay.distributed.optim.functional_rmsprop`
	`tensorplay.distributed.optim.functional_rprop`
	`tensorplay.distributed.optim.functional_sgd`
	`tensorplay.distributed.optim.named_optimizer`
	`tensorplay.distributed.optim.optimizer`
	`tensorplay.distributed.optim.post_localSGD_optimizer`
	`tensorplay.distributed.optim.utils`
	`tensorplay.distributed.optim.zero_redundancy_optimizer`
	`tensorplay.distributed.p10d_logger`
	`tensorplay.distributed.remote_device`
	`tensorplay.distributed.rendezvous`
	`tensorplay.distributed.rpc.api`
	`tensorplay.distributed.rpc.backend_registry`
	`tensorplay.distributed.rpc.constants`
	`tensorplay.distributed.rpc.functions`
	`tensorplay.distributed.rpc.internal`
	`tensorplay.distributed.rpc.options`
	`tensorplay.distributed.rpc.rref_proxy`
	`tensorplay.distributed.rpc.server_process_global_profiler`
	`tensorplay.distributed.tensor.parallel.api`
	`tensorplay.distributed.tensor.parallel.ddp`
	`tensorplay.distributed.tensor.parallel.fsdp`
	`tensorplay.distributed.tensor.parallel.input_reshard`
	`tensorplay.distributed.tensor.parallel.loss`
	`tensorplay.distributed.tensor.parallel.style`
	`tensorplay.distributed.utils`
	`tensorplay.multiprocessing.pool`
	`tensorplay.multiprocessing.queue`
	`tensorplay.multiprocessing.reductions`
	`tensorplay.nn.backends`
	`tensorplay.nn.backends.thnn`
	`tensorplay.nn.common_types`
	`tensorplay.nn.cpp`
	`tensorplay.nn.functional`
	`tensorplay.nn.grad`
	`tensorplay.nn.init`
	`tensorplay.nn.modules.activation`
	`tensorplay.nn.modules.adaptive`
	`tensorplay.nn.modules.batchnorm`
	`tensorplay.nn.modules.channelshuffle`
	`tensorplay.nn.modules.container`
	`tensorplay.nn.modules.conv`
	`tensorplay.nn.modules.distance`
	`tensorplay.nn.modules.dropout`
	`tensorplay.nn.modules.flatten`
	`tensorplay.nn.modules.folding`
	`tensorplay.nn.modules.instancenorm`
	`tensorplay.nn.modules.lazy`
	`tensorplay.nn.modules.linear`
	`tensorplay.nn.modules.loss`
	`tensorplay.nn.modules.module`
	`tensorplay.nn.modules.normalization`
	`tensorplay.nn.modules.padding`
	`tensorplay.nn.modules.pixelshuffle`
	`tensorplay.nn.modules.pooling`
	`tensorplay.nn.modules.rnn`
	`tensorplay.nn.modules.sparse`
	`tensorplay.nn.modules.transformer`
	`tensorplay.nn.modules.upsampling`
	`tensorplay.nn.modules.utils`
	`tensorplay.nn.parallel.comm`
	`tensorplay.nn.parallel.distributed`
	`tensorplay.nn.parallel.parallel_apply`
	`tensorplay.nn.parallel.replicate`
	`tensorplay.nn.parallel.scatter_gather`
	`tensorplay.nn.parameter`
	`tensorplay.nn.utils.clip_grad`
	`tensorplay.nn.utils.convert_parameters`
	`tensorplay.nn.utils.fusion`
	`tensorplay.nn.utils.init`
	`tensorplay.nn.utils.memory_format`
	`tensorplay.nn.utils.parametrizations`
	`tensorplay.nn.utils.parametrize`
	`tensorplay.nn.utils.prune`
	`tensorplay.nn.utils.rnn`
	`tensorplay.nn.utils.stateless`
	`tensorplay.optim.lr_scheduler`
	`tensorplay.optim.optimizer`
	`tensorplay.optim.swa_utils`
	`tensorplay.utils.data.datapipes`
	`tensorplay.utils.data.datapipes.dataframe`
	`tensorplay.utils.data.datapipes.iter`
	`tensorplay.utils.data.datapipes.map`
	`tensorplay.utils.data.datapipes.utils`
	`tensorplay.utils.serialization`
	`tensorplay.utils.serialization.config`