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<li class="toctree-l1"><a class="reference internal" href="notes/amp_examples.html">CUDA Automatic Mixed Precision examples</a></li>
<li class="toctree-l1"><a class="reference internal" href="notes/autograd.html">Autograd mechanics</a></li>
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<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="generated/torch.abs.html#torch.abs">abs() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.abs.html#torch.Tensor.abs">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.abs_.html#torch.Tensor.abs_">abs_() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.absolute.html#torch.absolute">absolute() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.absolute.html#torch.Tensor.absolute">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.absolute_.html#torch.Tensor.absolute_">absolute_() (torch.Tensor method)</a>
</li>
<li><a href="distributions.html#torch.distributions.transforms.AbsTransform">AbsTransform (class in torch.distributions.transforms)</a>
</li>
<li><a href="generated/torch.acos.html#torch.acos">acos() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.acos.html#torch.Tensor.acos">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.acos_.html#torch.Tensor.acos_">acos_() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.acosh.html#torch.acosh">acosh() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.acosh.html#torch.Tensor.acosh">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.acosh_.html#torch.Tensor.acosh_">acosh_() (torch.Tensor method)</a>
</li>
<li><a href="elastic/timer.html#torch.distributed.elastic.timer.TimerClient.acquire">acquire() (torch.distributed.elastic.timer.TimerClient method)</a>
</li>
<li><a href="generated/torch.optim.Adadelta.html#torch.optim.Adadelta">Adadelta (class in torch.optim)</a>
</li>
<li><a href="generated/torch.optim.Adagrad.html#torch.optim.Adagrad">Adagrad (class in torch.optim)</a>
</li>
<li><a href="generated/torch.optim.Adam.html#torch.optim.Adam">Adam (class in torch.optim)</a>
</li>
<li><a href="generated/torch.optim.Adamax.html#torch.optim.Adamax">Adamax (class in torch.optim)</a>
</li>
<li><a href="generated/torch.optim.AdamW.html#torch.optim.AdamW">AdamW (class in torch.optim)</a>
</li>
<li><a href="generated/torch.nn.functional.adaptive_avg_pool1d.html#torch.nn.functional.adaptive_avg_pool1d">adaptive_avg_pool1d() (in module torch.nn.functional)</a>
</li>
<li><a href="generated/torch.ao.nn.quantized.functional.adaptive_avg_pool2d.html#torch.ao.nn.quantized.functional.adaptive_avg_pool2d">adaptive_avg_pool2d (class in torch.ao.nn.quantized.functional)</a>
</li>
<li><a href="generated/torch.nn.functional.adaptive_avg_pool2d.html#torch.nn.functional.adaptive_avg_pool2d">adaptive_avg_pool2d() (in module torch.nn.functional)</a>
</li>
<li><a href="generated/torch.ao.nn.quantized.functional.adaptive_avg_pool3d.html#torch.ao.nn.quantized.functional.adaptive_avg_pool3d">adaptive_avg_pool3d (class in torch.ao.nn.quantized.functional)</a>
</li>
<li><a href="generated/torch.nn.functional.adaptive_avg_pool3d.html#torch.nn.functional.adaptive_avg_pool3d">adaptive_avg_pool3d() (in module torch.nn.functional)</a>
</li>
<li><a href="generated/torch.nn.functional.adaptive_max_pool1d.html#torch.nn.functional.adaptive_max_pool1d">adaptive_max_pool1d() (in module torch.nn.functional)</a>
</li>
<li><a href="generated/torch.nn.functional.adaptive_max_pool2d.html#torch.nn.functional.adaptive_max_pool2d">adaptive_max_pool2d() (in module torch.nn.functional)</a>
</li>
<li><a href="generated/torch.nn.functional.adaptive_max_pool3d.html#torch.nn.functional.adaptive_max_pool3d">adaptive_max_pool3d() (in module torch.nn.functional)</a>
</li>
<li><a href="generated/torch.nn.AdaptiveAvgPool1d.html#torch.nn.AdaptiveAvgPool1d">AdaptiveAvgPool1d (class in torch.nn)</a>
</li>
<li><a href="generated/torch.nn.AdaptiveAvgPool2d.html#torch.nn.AdaptiveAvgPool2d">AdaptiveAvgPool2d (class in torch.nn)</a>
</li>
<li><a href="generated/torch.nn.AdaptiveAvgPool3d.html#torch.nn.AdaptiveAvgPool3d">AdaptiveAvgPool3d (class in torch.nn)</a>
</li>
<li><a href="generated/torch.nn.AdaptiveLogSoftmaxWithLoss.html#torch.nn.AdaptiveLogSoftmaxWithLoss">AdaptiveLogSoftmaxWithLoss (class in torch.nn)</a>
</li>
<li><a href="generated/torch.nn.AdaptiveMaxPool1d.html#torch.nn.AdaptiveMaxPool1d">AdaptiveMaxPool1d (class in torch.nn)</a>
</li>
<li><a href="generated/torch.nn.AdaptiveMaxPool2d.html#torch.nn.AdaptiveMaxPool2d">AdaptiveMaxPool2d (class in torch.nn)</a>
</li>
<li><a href="generated/torch.nn.AdaptiveMaxPool3d.html#torch.nn.AdaptiveMaxPool3d">AdaptiveMaxPool3d (class in torch.nn)</a>
</li>
<li><a href="generated/torch.add.html#torch.add">add() (in module torch)</a>
<ul>
<li><a href="distributed.html#torch.distributed.Store.add">(in module torch.distributed.Store)</a>
</li>
<li><a href="torch.ao.ns._numeric_suite.html#torch.ao.ns._numeric_suite.Shadow.add">(torch.ao.ns._numeric_suite.Shadow method)</a>
</li>
<li><a href="elastic/rendezvous.html#torch.distributed.elastic.rendezvous.etcd_store.EtcdStore.add">(torch.distributed.elastic.rendezvous.etcd_store.EtcdStore method)</a>
</li>
<li><a href="monitor.html#torch.monitor.Stat.add">(torch.monitor.Stat method)</a>
</li>
<li><a href="generated/torch.Tensor.add.html#torch.Tensor.add">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.add_.html#torch.Tensor.add_">add_() (torch.Tensor method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_audio">add_audio() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_custom_scalars">add_custom_scalars() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="package.html#torch.package.PackageExporter.add_dependency">add_dependency() (torch.package.PackageExporter method)</a>
</li>
<li><a href="futures.html#torch.futures.Future.add_done_callback">add_done_callback() (torch.futures.Future method)</a>
</li>
<li><a href="generated/torch.ao.quantization.backend_config.BackendPatternConfig.html#torch.ao.quantization.backend_config.BackendPatternConfig.add_dtype_config">add_dtype_config() (torch.ao.quantization.backend_config.BackendPatternConfig method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_embedding">add_embedding() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_figure">add_figure() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_graph">add_graph() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_histogram">add_histogram() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_hparams">add_hparams() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_image">add_image() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_images">add_images() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="torch.ao.ns._numeric_suite_fx.html#torch.ao.ns._numeric_suite_fx.add_loggers">add_loggers() (in module torch.ao.ns._numeric_suite_fx)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_mesh">add_mesh() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="profiler.html#torch.profiler._KinetoProfile.add_metadata">add_metadata() (torch.profiler._KinetoProfile method)</a>
</li>
<li><a href="profiler.html#torch.profiler._KinetoProfile.add_metadata_json">add_metadata_json() (torch.profiler._KinetoProfile method)</a>
</li>
<li><a href="generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.add_module">add_module() (torch.jit.ScriptModule method)</a>
<ul>
<li><a href="generated/torch.nn.Module.html#torch.nn.Module.add_module">(torch.nn.Module method)</a>
</li>
</ul></li>
<li><a href="distributed.optim.html#torch.distributed.optim.ZeroRedundancyOptimizer.add_param_group">add_param_group() (torch.distributed.optim.ZeroRedundancyOptimizer method)</a>
<ul>
<li><a href="generated/torch.optim.Adadelta.html#torch.optim.Adadelta.add_param_group">(torch.optim.Adadelta method)</a>
</li>
<li><a href="generated/torch.optim.Adagrad.html#torch.optim.Adagrad.add_param_group">(torch.optim.Adagrad method)</a>
</li>
<li><a href="generated/torch.optim.Adam.html#torch.optim.Adam.add_param_group">(torch.optim.Adam method)</a>
</li>
<li><a href="generated/torch.optim.Adamax.html#torch.optim.Adamax.add_param_group">(torch.optim.Adamax method)</a>
</li>
<li><a href="generated/torch.optim.AdamW.html#torch.optim.AdamW.add_param_group">(torch.optim.AdamW method)</a>
</li>
<li><a href="generated/torch.optim.ASGD.html#torch.optim.ASGD.add_param_group">(torch.optim.ASGD method)</a>
</li>
<li><a href="generated/torch.optim.LBFGS.html#torch.optim.LBFGS.add_param_group">(torch.optim.LBFGS method)</a>
</li>
<li><a href="generated/torch.optim.NAdam.html#torch.optim.NAdam.add_param_group">(torch.optim.NAdam method)</a>
</li>
<li><a href="generated/torch.optim.Optimizer.add_param_group.html#torch.optim.Optimizer.add_param_group">(torch.optim.Optimizer method)</a>
</li>
<li><a href="generated/torch.optim.RAdam.html#torch.optim.RAdam.add_param_group">(torch.optim.RAdam method)</a>
</li>
<li><a href="generated/torch.optim.RMSprop.html#torch.optim.RMSprop.add_param_group">(torch.optim.RMSprop method)</a>
</li>
<li><a href="generated/torch.optim.Rprop.html#torch.optim.Rprop.add_param_group">(torch.optim.Rprop method)</a>
</li>
<li><a href="generated/torch.optim.SGD.html#torch.optim.SGD.add_param_group">(torch.optim.SGD method)</a>
</li>
<li><a href="generated/torch.optim.SparseAdam.html#torch.optim.SparseAdam.add_param_group">(torch.optim.SparseAdam method)</a>
</li>
</ul></li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_pr_curve">add_pr_curve() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="generated/torch.nn.utils.prune.PruningContainer.html#torch.nn.utils.prune.PruningContainer.add_pruning_method">add_pruning_method() (torch.nn.utils.prune.PruningContainer method)</a>
</li>
<li><a href="generated/torch.ao.quantization.add_quant_dequant.html#torch.ao.quantization.add_quant_dequant">add_quant_dequant (class in torch.ao.quantization)</a>
</li>
<li><a href="torch.ao.ns._numeric_suite.html#torch.ao.ns._numeric_suite.Shadow.add_relu">add_relu() (torch.ao.ns._numeric_suite.Shadow method)</a>
</li>
<li><a href="torch.ao.ns._numeric_suite.html#torch.ao.ns._numeric_suite.Shadow.add_scalar">add_scalar() (torch.ao.ns._numeric_suite.Shadow method)</a>
<ul>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_scalar">(torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
</ul></li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_scalars">add_scalars() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="torch.ao.ns._numeric_suite_fx.html#torch.ao.ns._numeric_suite_fx.add_shadow_loggers">add_shadow_loggers() (in module torch.ao.ns._numeric_suite_fx)</a>
</li>
<li><a href="fx.html#torch.fx.GraphModule.add_submodule">add_submodule() (torch.fx.GraphModule method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_text">add_text() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="tensorboard.html#torch.utils.tensorboard.writer.SummaryWriter.add_video">add_video() (torch.utils.tensorboard.writer.SummaryWriter method)</a>
</li>
<li><a href="generated/torch.addbmm.html#torch.addbmm">addbmm() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.addbmm.html#torch.Tensor.addbmm">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.addbmm_.html#torch.Tensor.addbmm_">addbmm_() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.addcdiv.html#torch.addcdiv">addcdiv() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.addcdiv.html#torch.Tensor.addcdiv">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.addcdiv_.html#torch.Tensor.addcdiv_">addcdiv_() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.addcmul.html#torch.addcmul">addcmul() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.addcmul.html#torch.Tensor.addcmul">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.addcmul_.html#torch.Tensor.addcmul_">addcmul_() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.addmm.html#torch.addmm">addmm() (in module torch)</a>
<ul>
<li><a href="generated/torch.sparse.addmm.html#torch.sparse.addmm">(in module torch.sparse)</a>
</li>
<li><a href="generated/torch.Tensor.addmm.html#torch.Tensor.addmm">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.addmm_.html#torch.Tensor.addmm_">addmm_() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.addmv.html#torch.addmv">addmv() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.addmv.html#torch.Tensor.addmv">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.addmv_.html#torch.Tensor.addmv_">addmv_() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.addr.html#torch.addr">addr() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.addr.html#torch.Tensor.addr">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.Tensor.addr_.html#torch.Tensor.addr_">addr_() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.adjoint.html#torch.adjoint">adjoint() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.adjoint.html#torch.Tensor.adjoint">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.nn.functional.affine_grid.html#torch.nn.functional.affine_grid">affine_grid() (in module torch.nn.functional)</a>
</li>
<li><a href="distributions.html#torch.distributions.transforms.AffineTransform">AffineTransform (class in torch.distributions.transforms)</a>
</li>
<li><a href="monitor.html#torch.monitor.Aggregation">Aggregation (class in torch.monitor)</a>
</li>
<li><a href="special.html#torch.special.airy_ai">airy_ai() (in module torch.special)</a>
</li>
<li><a href="named_tensor.html#torch.Tensor.align_as">align_as() (torch.Tensor method)</a>
</li>
<li><a href="named_tensor.html#torch.Tensor.align_to">align_to() (torch.Tensor method)</a>
</li>
<li><a href="generated/torch.all.html#torch.all">all() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.all.html#torch.Tensor.all">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="distributed.html#torch.distributed.all_gather">all_gather() (in module torch.distributed)</a>
</li>
<li><a href="distributed.html#torch.distributed.all_gather_into_tensor">all_gather_into_tensor() (in module torch.distributed)</a>
</li>
<li><a href="distributed.html#torch.distributed.all_gather_multigpu">all_gather_multigpu() (in module torch.distributed)</a>
</li>
<li><a href="distributed.html#torch.distributed.all_gather_object">all_gather_object() (in module torch.distributed)</a>
</li>
<li><a href="fx.html#torch.fx.Node.all_input_nodes">all_input_nodes (torch.fx.Node property)</a>
</li>
<li><a href="generated/torch.onnx.verification.GraphInfo.html#torch.onnx.verification.GraphInfo.all_mismatch_leaf_graph_info">all_mismatch_leaf_graph_info() (torch.onnx.verification.GraphInfo method)</a>
</li>
<li><a href="package.html#torch.package.PackageExporter.all_paths">all_paths() (torch.package.PackageExporter method)</a>
</li>
<li><a href="distributed.html#torch.distributed.all_reduce">all_reduce() (in module torch.distributed)</a>
</li>
<li><a href="distributed.html#torch.distributed.all_reduce_multigpu">all_reduce_multigpu() (in module torch.distributed)</a>
</li>
<li><a href="distributed.html#torch.distributed.all_to_all">all_to_all() (in module torch.distributed)</a>
</li>
<li><a href="distributed.html#torch.distributed.all_to_all_single">all_to_all_single() (in module torch.distributed)</a>
</li>
<li><a href="generated/torch.allclose.html#torch.allclose">allclose() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.allclose.html#torch.Tensor.allclose">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="backends.html#torch.backends.cuda.torch.backends.cuda.matmul.allow_bf16_reduced_precision_reduction">allow_bf16_reduced_precision_reduction (torch.backends.cuda.torch.backends.cuda.matmul attribute)</a>
</li>
<li><a href="backends.html#torch.backends.cuda.torch.backends.cuda.matmul.allow_fp16_reduced_precision_reduction">allow_fp16_reduced_precision_reduction (torch.backends.cuda.torch.backends.cuda.matmul attribute)</a>
</li>
<li><a href="_dynamo.html#torch._dynamo.allow_in_graph">allow_in_graph() (in module torch._dynamo)</a>
</li>
<li><a href="backends.html#torch.backends.cuda.torch.backends.cuda.matmul.allow_tf32">allow_tf32 (torch.backends.cuda.torch.backends.cuda.matmul attribute)</a>
<ul>
<li><a href="backends.html#torch.backends.cudnn.torch.backends.cudnn.allow_tf32">(torch.backends.cudnn.torch.backends.cudnn attribute)</a>
</li>
</ul></li>
<li><a href="ddp_comm_hooks.html#torch.distributed.algorithms.ddp_comm_hooks.default_hooks.allreduce_hook">allreduce_hook() (in module torch.distributed.algorithms.ddp_comm_hooks.default_hooks)</a>
</li>
<li><a href="generated/torch.nn.functional.alpha_dropout.html#torch.nn.functional.alpha_dropout">alpha_dropout() (in module torch.nn.functional)</a>
</li>
<li><a href="generated/torch.nn.AlphaDropout.html#torch.nn.AlphaDropout">AlphaDropout (class in torch.nn)</a>
</li>
<li><a href="generated/torch.amax.html#torch.amax">amax() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.amax.html#torch.Tensor.amax">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.amin.html#torch.amin">amin() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.amin.html#torch.Tensor.amin">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.aminmax.html#torch.aminmax">aminmax() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.aminmax.html#torch.Tensor.aminmax">(torch.Tensor method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="generated/torch.angle.html#torch.angle">angle() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.angle.html#torch.Tensor.angle">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="generated/torch.jit.annotate.html#torch.jit.annotate">annotate() (in module torch.jit)</a>
</li>
<li><a href="generated/torch.any.html#torch.any">any() (in module torch)</a>
<ul>
<li><a href="generated/torch.Tensor.any.html#torch.Tensor.any">(torch.Tensor method)</a>
</li>
</ul></li>
<li><a href="fx.html#torch.fx.Node.append">append() (torch.fx.Node method)</a>
<ul>
<li><a href="generated/torch.nn.ModuleList.html#torch.nn.ModuleList.append">(torch.nn.ModuleList method)</a>
</li>
<li><a href="generated/torch.nn.ParameterList.html#torch.nn.ParameterList.append">(torch.nn.ParameterList method)</a>
</li>