# PyTorch > PyTorch documentation. ## Docs - [torch.accelerator](https://docs.pytorch.org/docs/stable/accelerator.html) - [Automatic Mixed Precision](https://docs.pytorch.org/docs/stable/accelerator/amp.html) - [Autoload Mechanism](https://docs.pytorch.org/docs/stable/accelerator/autoload.html) - [Device Management](https://docs.pytorch.org/docs/stable/accelerator/device.html) - [Guard](https://docs.pytorch.org/docs/stable/accelerator/guard.html) - [Accelerator Hooks](https://docs.pytorch.org/docs/stable/accelerator/hooks.html) - [Accelerator Integration](https://docs.pytorch.org/docs/stable/accelerator/index.html) - [Operator Registration](https://docs.pytorch.org/docs/stable/accelerator/operators.html) - [Profiler Integration](https://docs.pytorch.org/docs/stable/accelerator/profiler.html) - [Automatic Mixed Precision package - torch.amp](https://docs.pytorch.org/docs/stable/amp.html) - [Automatic differentiation package - torch.autograd](https://docs.pytorch.org/docs/stable/autograd.html) - 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[Linear](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.qat.dynamic.Linear.html) - [Conv1d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.qat.modules.conv.Conv1d.html) - [Conv2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.qat.modules.conv.Conv2d.html) - [Conv3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.qat.modules.conv.Conv3d.html) - [Embedding](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.qat.modules.embedding_ops.Embedding.html) - [EmbeddingBag](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.qat.modules.embedding_ops.EmbeddingBag.html) - [Linear](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.qat.modules.linear.Linear.html) - [LSTM](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantizable.LSTM.html) - [MultiheadAttention](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantizable.MultiheadAttention.html) - [MultiheadAttention](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantizable.modules.activation.MultiheadAttention.html) - [LSTM](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantizable.modules.rnn.LSTM.html) - [LSTMCell](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantizable.modules.rnn.LSTMCell.html) - [BatchNorm2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.BatchNorm2d.html) - [BatchNorm3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.BatchNorm3d.html) - [Conv1d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.Conv1d.html) - [Conv2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.Conv2d.html) - [Conv3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.Conv3d.html) - [ConvTranspose1d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.ConvTranspose1d.html) - [ConvTranspose2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.ConvTranspose2d.html) - [ConvTranspose3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.ConvTranspose3d.html) - [ELU](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.ELU.html) - [Embedding](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.Embedding.html) - [EmbeddingBag](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.EmbeddingBag.html) - [FXFloatFunctional](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.FXFloatFunctional.html) - [FloatFunctional](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.FloatFunctional.html) - [GroupNorm](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.GroupNorm.html) - [Hardswish](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.Hardswish.html) - [InstanceNorm1d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.InstanceNorm1d.html) - [InstanceNorm2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.InstanceNorm2d.html) - [InstanceNorm3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.InstanceNorm3d.html) - 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[RNNCell](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.RNNCell.html) - [Conv1d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.conv.Conv1d.html) - [Conv2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.conv.Conv2d.html) - [Conv3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.conv.Conv3d.html) - [ConvTranspose1d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.conv.ConvTranspose1d.html) - [ConvTranspose2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.conv.ConvTranspose2d.html) - [ConvTranspose3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.conv.ConvTranspose3d.html) - [Linear](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.linear.Linear.html) - [GRU](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.rnn.GRU.html) - [GRUCell](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.rnn.GRUCell.html) - [LSTM](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.rnn.LSTM.html) - [LSTMCell](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.rnn.LSTMCell.html) - [PackedParameter](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.rnn.PackedParameter.html) - [RNNBase](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.rnn.RNNBase.html) - [RNNCell](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.rnn.RNNCell.html) - [RNNCellBase](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.dynamic.modules.rnn.RNNCellBase.html) - [adaptive_avg_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.adaptive_avg_pool2d.html) - [adaptive_avg_pool3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.adaptive_avg_pool3d.html) - [avg_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.avg_pool2d.html) - [avg_pool3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.avg_pool3d.html) - [celu](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.celu.html) - [clamp](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.clamp.html) - [conv1d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.conv1d.html) - [conv2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.conv2d.html) - [conv3d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.conv3d.html) - [elu](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.elu.html) - [hardsigmoid](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.hardsigmoid.html) - [hardswish](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.hardswish.html) - [hardtanh](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.hardtanh.html) - [interpolate](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.interpolate.html) - [leaky_relu](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.leaky_relu.html) - [linear](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.linear.html) - [max_pool1d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.max_pool1d.html) - [max_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.max_pool2d.html) - [threshold](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.threshold.html) - [upsample](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.upsample.html) - [upsample_bilinear](https://docs.pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.upsample_bilinear.html) - 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[PerGroup](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.PerGroup.html) - [PerRow](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.PerRow.html) - [PerTensor](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.PerTensor.html) - [PerToken](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.PerToken.html) - [PlaceholderObserver](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.PlaceholderObserver.html) - [RecordingObserver](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.RecordingObserver.html) - [TorchAODType](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.TorchAODType.html) - [ZeroPointDomain](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.ZeroPointDomain.html) - [default_debug_observer](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.default_debug_observer.html) - [default_dynamic_quant_observer](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.default_dynamic_quant_observer.html) - [default_float_qparams_observer](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.default_float_qparams_observer.html) - [default_histogram_observer](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.default_histogram_observer.html) - [default_observer](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.default_observer.html) - [default_per_channel_weight_observer](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.default_per_channel_weight_observer.html) - [default_placeholder_observer](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.default_placeholder_observer.html) - [default_weight_observer](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.default_weight_observer.html) - [get_block_size](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.get_block_size.html) - [get_observer_state_dict](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.get_observer_state_dict.html) - [load_observer_state_dict](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.observer.load_observer_state_dict.html) - [prepare](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.prepare.html) - [prepare_qat](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.prepare_qat.html) - [propagate_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.propagate_qconfig_.html) - [QConfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.QConfig.html) - [default_activation_only_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.default_activation_only_qconfig.html) - [default_debug_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.default_debug_qconfig.html) - [default_dynamic_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.default_dynamic_qconfig.html) - [default_per_channel_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.default_per_channel_qconfig.html) - [default_qat_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.default_qat_qconfig.html) - [default_qat_qconfig_v2](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.default_qat_qconfig_v2.html) - [default_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.default_qconfig.html) - [default_weight_only_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.default_weight_only_qconfig.html) - [float16_dynamic_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.float16_dynamic_qconfig.html) - [float16_static_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.float16_static_qconfig.html) - [float_qparams_weight_only_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.float_qparams_weight_only_qconfig.html) - [per_channel_dynamic_qconfig](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig.per_channel_dynamic_qconfig.html) - [QConfigMapping](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig_mapping.QConfigMapping.html) - [get_default_qat_qconfig_mapping](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig_mapping.get_default_qat_qconfig_mapping.html) - [get_default_qconfig_mapping](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.qconfig_mapping.get_default_qconfig_mapping.html) - [quantize](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.quantize.html) - [quantize_dynamic](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.quantize_dynamic.html) - [convert_fx](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.quantize_fx.convert_fx.html) - [fuse_fx](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.quantize_fx.fuse_fx.html) - [prepare_fx](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.quantize_fx.prepare_fx.html) - [prepare_qat_fx](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.quantize_fx.prepare_qat_fx.html) - [quantize_qat](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.quantize_qat.html) - [swap_module](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.swap_module.html) - [activation_is_dynamically_quantized](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.utils.activation_is_dynamically_quantized.html) - [activation_is_int32_quantized](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.utils.activation_is_int32_quantized.html) - [activation_is_int8_quantized](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.utils.activation_is_int8_quantized.html) - [activation_is_statically_quantized](https://docs.pytorch.org/docs/stable/generated/torch.ao.quantization.utils.activation_is_statically_quantized.html) - 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[torch.arctanh](https://docs.pytorch.org/docs/stable/generated/torch.arctanh.html) - [torch.are_deterministic_algorithms_enabled](https://docs.pytorch.org/docs/stable/generated/torch.are_deterministic_algorithms_enabled.html) - [torch.argmax](https://docs.pytorch.org/docs/stable/generated/torch.argmax.html) - [torch.argmin](https://docs.pytorch.org/docs/stable/generated/torch.argmin.html) - [torch.argsort](https://docs.pytorch.org/docs/stable/generated/torch.argsort.html) - [torch.argwhere](https://docs.pytorch.org/docs/stable/generated/torch.argwhere.html) - [torch.as_strided](https://docs.pytorch.org/docs/stable/generated/torch.as_strided.html) - [torch.as_tensor](https://docs.pytorch.org/docs/stable/generated/torch.as_tensor.html) - [torch.asarray](https://docs.pytorch.org/docs/stable/generated/torch.asarray.html) - [torch.asin](https://docs.pytorch.org/docs/stable/generated/torch.asin.html) - [torch.asinh](https://docs.pytorch.org/docs/stable/generated/torch.asinh.html) - [torch.atan](https://docs.pytorch.org/docs/stable/generated/torch.atan.html) - [torch.atan2](https://docs.pytorch.org/docs/stable/generated/torch.atan2.html) - [torch.atanh](https://docs.pytorch.org/docs/stable/generated/torch.atanh.html) - [torch.atleast_1d](https://docs.pytorch.org/docs/stable/generated/torch.atleast_1d.html) - [torch.atleast_2d](https://docs.pytorch.org/docs/stable/generated/torch.atleast_2d.html) - [torch.atleast_3d](https://docs.pytorch.org/docs/stable/generated/torch.atleast_3d.html) - [torch.autograd.Function.backward](https://docs.pytorch.org/docs/stable/generated/torch.autograd.Function.backward.html) - [torch.autograd.Function.forward](https://docs.pytorch.org/docs/stable/generated/torch.autograd.Function.forward.html) - [torch.autograd.Function.jvp](https://docs.pytorch.org/docs/stable/generated/torch.autograd.Function.jvp.html) - [torch.autograd.Function.vmap](https://docs.pytorch.org/docs/stable/generated/torch.autograd.Function.vmap.html) - [torch.autograd.backward](https://docs.pytorch.org/docs/stable/generated/torch.autograd.backward.html) - [UnpackedDualTensor](https://docs.pytorch.org/docs/stable/generated/torch.autograd.forward_ad.UnpackedDualTensor.html) - [dual_level](https://docs.pytorch.org/docs/stable/generated/torch.autograd.forward_ad.dual_level.html) - [torch.autograd.forward_ad.enter_dual_level](https://docs.pytorch.org/docs/stable/generated/torch.autograd.forward_ad.enter_dual_level.html) - [torch.autograd.forward_ad.exit_dual_level](https://docs.pytorch.org/docs/stable/generated/torch.autograd.forward_ad.exit_dual_level.html) - [torch.autograd.forward_ad.make_dual](https://docs.pytorch.org/docs/stable/generated/torch.autograd.forward_ad.make_dual.html) - [torch.autograd.forward_ad.unpack_dual](https://docs.pytorch.org/docs/stable/generated/torch.autograd.forward_ad.unpack_dual.html) - [BackwardCFunction](https://docs.pytorch.org/docs/stable/generated/torch.autograd.function.BackwardCFunction.html) - [torch.autograd.function.FunctionCtx.mark_dirty](https://docs.pytorch.org/docs/stable/generated/torch.autograd.function.FunctionCtx.mark_dirty.html) - [torch.autograd.function.FunctionCtx.mark_non_differentiable](https://docs.pytorch.org/docs/stable/generated/torch.autograd.function.FunctionCtx.mark_non_differentiable.html) - [torch.autograd.function.FunctionCtx.save_for_backward](https://docs.pytorch.org/docs/stable/generated/torch.autograd.function.FunctionCtx.save_for_backward.html) - [torch.autograd.function.FunctionCtx.set_materialize_grads](https://docs.pytorch.org/docs/stable/generated/torch.autograd.function.FunctionCtx.set_materialize_grads.html) - [InplaceFunction](https://docs.pytorch.org/docs/stable/generated/torch.autograd.function.InplaceFunction.html) - [NestedIOFunction](https://docs.pytorch.org/docs/stable/generated/torch.autograd.function.NestedIOFunction.html) - [torch.autograd.function.once_differentiable](https://docs.pytorch.org/docs/stable/generated/torch.autograd.function.once_differentiable.html) - [torch.autograd.functional.hessian](https://docs.pytorch.org/docs/stable/generated/torch.autograd.functional.hessian.html) - [torch.autograd.functional.hvp](https://docs.pytorch.org/docs/stable/generated/torch.autograd.functional.hvp.html) - [torch.autograd.functional.jacobian](https://docs.pytorch.org/docs/stable/generated/torch.autograd.functional.jacobian.html) - [torch.autograd.functional.jvp](https://docs.pytorch.org/docs/stable/generated/torch.autograd.functional.jvp.html) - [torch.autograd.functional.vhp](https://docs.pytorch.org/docs/stable/generated/torch.autograd.functional.vhp.html) - [torch.autograd.functional.vjp](https://docs.pytorch.org/docs/stable/generated/torch.autograd.functional.vjp.html) - [torch.autograd.grad](https://docs.pytorch.org/docs/stable/generated/torch.autograd.grad.html) - [inference_mode](https://docs.pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html) - [set_grad_enabled](https://docs.pytorch.org/docs/stable/generated/torch.autograd.grad_mode.set_grad_enabled.html) - [set_multithreading_enabled](https://docs.pytorch.org/docs/stable/generated/torch.autograd.grad_mode.set_multithreading_enabled.html) - 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[torch.autograd.profiler.profile.total_average](https://docs.pytorch.org/docs/stable/generated/torch.autograd.profiler.profile.total_average.html) - [record_function](https://docs.pytorch.org/docs/stable/generated/torch.autograd.profiler.record_function.html) - [Interval](https://docs.pytorch.org/docs/stable/generated/torch.autograd.profiler_util.Interval.html) - [Kernel](https://docs.pytorch.org/docs/stable/generated/torch.autograd.profiler_util.Kernel.html) - [MemRecordsAcc](https://docs.pytorch.org/docs/stable/generated/torch.autograd.profiler_util.MemRecordsAcc.html) - [StringTable](https://docs.pytorch.org/docs/stable/generated/torch.autograd.profiler_util.StringTable.html) - [torch.baddbmm](https://docs.pytorch.org/docs/stable/generated/torch.baddbmm.html) - [torch.bartlett_window](https://docs.pytorch.org/docs/stable/generated/torch.bartlett_window.html) - [torch.bernoulli](https://docs.pytorch.org/docs/stable/generated/torch.bernoulli.html) - [torch.bincount](https://docs.pytorch.org/docs/stable/generated/torch.bincount.html) - 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[torch.broadcast_to](https://docs.pytorch.org/docs/stable/generated/torch.broadcast_to.html) - [torch.bucketize](https://docs.pytorch.org/docs/stable/generated/torch.bucketize.html) - [torch.can_cast](https://docs.pytorch.org/docs/stable/generated/torch.can_cast.html) - [torch.cartesian_prod](https://docs.pytorch.org/docs/stable/generated/torch.cartesian_prod.html) - [torch.cat](https://docs.pytorch.org/docs/stable/generated/torch.cat.html) - [torch.cdist](https://docs.pytorch.org/docs/stable/generated/torch.cdist.html) - [torch.ceil](https://docs.pytorch.org/docs/stable/generated/torch.ceil.html) - [torch.chain_matmul](https://docs.pytorch.org/docs/stable/generated/torch.chain_matmul.html) - [torch.cholesky](https://docs.pytorch.org/docs/stable/generated/torch.cholesky.html) - [torch.cholesky_inverse](https://docs.pytorch.org/docs/stable/generated/torch.cholesky_inverse.html) - [torch.cholesky_solve](https://docs.pytorch.org/docs/stable/generated/torch.cholesky_solve.html) - [torch.chunk](https://docs.pytorch.org/docs/stable/generated/torch.chunk.html) - 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[torch.cumprod](https://docs.pytorch.org/docs/stable/generated/torch.cumprod.html) - [torch.cumsum](https://docs.pytorch.org/docs/stable/generated/torch.cumsum.html) - [torch.cumulative_trapezoid](https://docs.pytorch.org/docs/stable/generated/torch.cumulative_trapezoid.html) - [torch.deg2rad](https://docs.pytorch.org/docs/stable/generated/torch.deg2rad.html) - [dequantize](https://docs.pytorch.org/docs/stable/generated/torch.dequantize.html) - [torch.det](https://docs.pytorch.org/docs/stable/generated/torch.det.html) - [torch.diag](https://docs.pytorch.org/docs/stable/generated/torch.diag.html) - [torch.diag_embed](https://docs.pytorch.org/docs/stable/generated/torch.diag_embed.html) - [torch.diagflat](https://docs.pytorch.org/docs/stable/generated/torch.diagflat.html) - [torch.diagonal](https://docs.pytorch.org/docs/stable/generated/torch.diagonal.html) - [torch.diagonal_scatter](https://docs.pytorch.org/docs/stable/generated/torch.diagonal_scatter.html) - [torch.diff](https://docs.pytorch.org/docs/stable/generated/torch.diff.html) - [torch.digamma](https://docs.pytorch.org/docs/stable/generated/torch.digamma.html) - [torch.dist](https://docs.pytorch.org/docs/stable/generated/torch.dist.html) - [torch.div](https://docs.pytorch.org/docs/stable/generated/torch.div.html) - [torch.divide](https://docs.pytorch.org/docs/stable/generated/torch.divide.html) - [torch.dot](https://docs.pytorch.org/docs/stable/generated/torch.dot.html) - [torch.dsplit](https://docs.pytorch.org/docs/stable/generated/torch.dsplit.html) - [torch.dstack](https://docs.pytorch.org/docs/stable/generated/torch.dstack.html) - [torch.einsum](https://docs.pytorch.org/docs/stable/generated/torch.einsum.html) - [torch.empty](https://docs.pytorch.org/docs/stable/generated/torch.empty.html) - [torch.empty_like](https://docs.pytorch.org/docs/stable/generated/torch.empty_like.html) - [torch.empty_strided](https://docs.pytorch.org/docs/stable/generated/torch.empty_strided.html) - [enable_grad](https://docs.pytorch.org/docs/stable/generated/torch.enable_grad.html) - [torch.eq](https://docs.pytorch.org/docs/stable/generated/torch.eq.html) - [torch.equal](https://docs.pytorch.org/docs/stable/generated/torch.equal.html) - [torch.erf](https://docs.pytorch.org/docs/stable/generated/torch.erf.html) - [torch.erfc](https://docs.pytorch.org/docs/stable/generated/torch.erfc.html) - [torch.erfinv](https://docs.pytorch.org/docs/stable/generated/torch.erfinv.html) - [torch.exp](https://docs.pytorch.org/docs/stable/generated/torch.exp.html) - [torch.exp2](https://docs.pytorch.org/docs/stable/generated/torch.exp2.html) - [torch.expm1](https://docs.pytorch.org/docs/stable/generated/torch.expm1.html) - [torch.eye](https://docs.pytorch.org/docs/stable/generated/torch.eye.html) - [torch.fake_quantize_per_channel_affine](https://docs.pytorch.org/docs/stable/generated/torch.fake_quantize_per_channel_affine.html) - [torch.fake_quantize_per_tensor_affine](https://docs.pytorch.org/docs/stable/generated/torch.fake_quantize_per_tensor_affine.html) - [torch.fft.fft](https://docs.pytorch.org/docs/stable/generated/torch.fft.fft.html) - [torch.fft.fft2](https://docs.pytorch.org/docs/stable/generated/torch.fft.fft2.html) - [torch.fft.fftfreq](https://docs.pytorch.org/docs/stable/generated/torch.fft.fftfreq.html) - [torch.fft.fftn](https://docs.pytorch.org/docs/stable/generated/torch.fft.fftn.html) - [torch.fft.fftshift](https://docs.pytorch.org/docs/stable/generated/torch.fft.fftshift.html) - [torch.fft.hfft](https://docs.pytorch.org/docs/stable/generated/torch.fft.hfft.html) - [torch.fft.hfft2](https://docs.pytorch.org/docs/stable/generated/torch.fft.hfft2.html) - [torch.fft.hfftn](https://docs.pytorch.org/docs/stable/generated/torch.fft.hfftn.html) - [torch.fft.ifft](https://docs.pytorch.org/docs/stable/generated/torch.fft.ifft.html) - [torch.fft.ifft2](https://docs.pytorch.org/docs/stable/generated/torch.fft.ifft2.html) - [torch.fft.ifftn](https://docs.pytorch.org/docs/stable/generated/torch.fft.ifftn.html) - [torch.fft.ifftshift](https://docs.pytorch.org/docs/stable/generated/torch.fft.ifftshift.html) - [torch.fft.ihfft](https://docs.pytorch.org/docs/stable/generated/torch.fft.ihfft.html) - [torch.fft.ihfft2](https://docs.pytorch.org/docs/stable/generated/torch.fft.ihfft2.html) - [torch.fft.ihfftn](https://docs.pytorch.org/docs/stable/generated/torch.fft.ihfftn.html) - [torch.fft.irfft](https://docs.pytorch.org/docs/stable/generated/torch.fft.irfft.html) - [torch.fft.irfft2](https://docs.pytorch.org/docs/stable/generated/torch.fft.irfft2.html) - [torch.fft.irfftn](https://docs.pytorch.org/docs/stable/generated/torch.fft.irfftn.html) - [torch.fft.rfft](https://docs.pytorch.org/docs/stable/generated/torch.fft.rfft.html) - [torch.fft.rfft2](https://docs.pytorch.org/docs/stable/generated/torch.fft.rfft2.html) - [torch.fft.rfftfreq](https://docs.pytorch.org/docs/stable/generated/torch.fft.rfftfreq.html) - [torch.fft.rfftn](https://docs.pytorch.org/docs/stable/generated/torch.fft.rfftn.html) - [torch.fix](https://docs.pytorch.org/docs/stable/generated/torch.fix.html) - [torch.flatten](https://docs.pytorch.org/docs/stable/generated/torch.flatten.html) - [torch.flip](https://docs.pytorch.org/docs/stable/generated/torch.flip.html) - [torch.fliplr](https://docs.pytorch.org/docs/stable/generated/torch.fliplr.html) - [torch.flipud](https://docs.pytorch.org/docs/stable/generated/torch.flipud.html) - [torch.float_power](https://docs.pytorch.org/docs/stable/generated/torch.float_power.html) - [torch.floor](https://docs.pytorch.org/docs/stable/generated/torch.floor.html) - [torch.floor_divide](https://docs.pytorch.org/docs/stable/generated/torch.floor_divide.html) - [torch.fmax](https://docs.pytorch.org/docs/stable/generated/torch.fmax.html) - [torch.fmin](https://docs.pytorch.org/docs/stable/generated/torch.fmin.html) - [torch.fmod](https://docs.pytorch.org/docs/stable/generated/torch.fmod.html) - [torch.frac](https://docs.pytorch.org/docs/stable/generated/torch.frac.html) - [torch.frexp](https://docs.pytorch.org/docs/stable/generated/torch.frexp.html) - [torch.from_dlpack](https://docs.pytorch.org/docs/stable/generated/torch.from_dlpack.html) - [torch.from_file](https://docs.pytorch.org/docs/stable/generated/torch.from_file.html) - [torch.from_numpy](https://docs.pytorch.org/docs/stable/generated/torch.from_numpy.html) - [torch.frombuffer](https://docs.pytorch.org/docs/stable/generated/torch.frombuffer.html) - [torch.full](https://docs.pytorch.org/docs/stable/generated/torch.full.html) - [torch.full_like](https://docs.pytorch.org/docs/stable/generated/torch.full_like.html) - [torch.func.debug_unwrap](https://docs.pytorch.org/docs/stable/generated/torch.func.debug_unwrap.html) - [torch.func.functional_call](https://docs.pytorch.org/docs/stable/generated/torch.func.functional_call.html) - [torch.func.functionalize](https://docs.pytorch.org/docs/stable/generated/torch.func.functionalize.html) - [torch.func.grad](https://docs.pytorch.org/docs/stable/generated/torch.func.grad.html) - [torch.func.grad_and_value](https://docs.pytorch.org/docs/stable/generated/torch.func.grad_and_value.html) - [torch.func.hessian](https://docs.pytorch.org/docs/stable/generated/torch.func.hessian.html) - [torch.func.jacfwd](https://docs.pytorch.org/docs/stable/generated/torch.func.jacfwd.html) - [torch.func.jacrev](https://docs.pytorch.org/docs/stable/generated/torch.func.jacrev.html) - [torch.func.jvp](https://docs.pytorch.org/docs/stable/generated/torch.func.jvp.html) - [torch.func.linearize](https://docs.pytorch.org/docs/stable/generated/torch.func.linearize.html) - [torch.func.replace_all_batch_norm_modules_](https://docs.pytorch.org/docs/stable/generated/torch.func.replace_all_batch_norm_modules_.html) - [torch.func.stack_module_state](https://docs.pytorch.org/docs/stable/generated/torch.func.stack_module_state.html) - [torch.func.vjp](https://docs.pytorch.org/docs/stable/generated/torch.func.vjp.html) - [torch.func.vmap](https://docs.pytorch.org/docs/stable/generated/torch.func.vmap.html) - [torch.functional.align_tensors](https://docs.pytorch.org/docs/stable/generated/torch.functional.align_tensors.html) - [torch.functional.atleast_1d](https://docs.pytorch.org/docs/stable/generated/torch.functional.atleast_1d.html) - [torch.functional.atleast_2d](https://docs.pytorch.org/docs/stable/generated/torch.functional.atleast_2d.html) - [torch.functional.atleast_3d](https://docs.pytorch.org/docs/stable/generated/torch.functional.atleast_3d.html) - [torch.functional.block_diag](https://docs.pytorch.org/docs/stable/generated/torch.functional.block_diag.html) - [torch.functional.broadcast_shapes](https://docs.pytorch.org/docs/stable/generated/torch.functional.broadcast_shapes.html) - [torch.functional.broadcast_tensors](https://docs.pytorch.org/docs/stable/generated/torch.functional.broadcast_tensors.html) - [torch.functional.cartesian_prod](https://docs.pytorch.org/docs/stable/generated/torch.functional.cartesian_prod.html) - [torch.functional.cdist](https://docs.pytorch.org/docs/stable/generated/torch.functional.cdist.html) - [torch.functional.chain_matmul](https://docs.pytorch.org/docs/stable/generated/torch.functional.chain_matmul.html) - [torch.functional.einsum](https://docs.pytorch.org/docs/stable/generated/torch.functional.einsum.html) - [torch.functional.lu](https://docs.pytorch.org/docs/stable/generated/torch.functional.lu.html) - [torch.functional.meshgrid](https://docs.pytorch.org/docs/stable/generated/torch.functional.meshgrid.html) - [torch.functional.norm](https://docs.pytorch.org/docs/stable/generated/torch.functional.norm.html) - [torch.functional.split](https://docs.pytorch.org/docs/stable/generated/torch.functional.split.html) - [torch.functional.stft](https://docs.pytorch.org/docs/stable/generated/torch.functional.stft.html) - [torch.functional.tensordot](https://docs.pytorch.org/docs/stable/generated/torch.functional.tensordot.html) - [torch.functional.unique](https://docs.pytorch.org/docs/stable/generated/torch.functional.unique.html) - [torch.functional.unique_consecutive](https://docs.pytorch.org/docs/stable/generated/torch.functional.unique_consecutive.html) - [torch.functional.unravel_index](https://docs.pytorch.org/docs/stable/generated/torch.functional.unravel_index.html) - [torch.fx.experimental.graph_gradual_typechecker.adaptiveavgpool2d_check](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.adaptiveavgpool2d_check.html) - [torch.fx.experimental.graph_gradual_typechecker.adaptiveavgpool2d_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.adaptiveavgpool2d_inference_rule.html) - [torch.fx.experimental.graph_gradual_typechecker.all_eq](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.all_eq.html) - [torch.fx.experimental.graph_gradual_typechecker.bn2d_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.bn2d_inference_rule.html) - [torch.fx.experimental.graph_gradual_typechecker.calculate_out_dimension](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.calculate_out_dimension.html) - [torch.fx.experimental.graph_gradual_typechecker.conv_refinement_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.conv_refinement_rule.html) - [torch.fx.experimental.graph_gradual_typechecker.conv_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.conv_rule.html) - [torch.fx.experimental.graph_gradual_typechecker.element_wise_eq](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.element_wise_eq.html) - [torch.fx.experimental.graph_gradual_typechecker.expand_to_tensor_dim](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.expand_to_tensor_dim.html) - [torch.fx.experimental.graph_gradual_typechecker.first_two_eq](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.first_two_eq.html) - [torch.fx.experimental.graph_gradual_typechecker.register_algebraic_expressions_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.register_algebraic_expressions_inference_rule.html) - [torch.fx.experimental.graph_gradual_typechecker.register_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.register_inference_rule.html) - [torch.fx.experimental.graph_gradual_typechecker.register_refinement_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.register_refinement_rule.html) - [torch.fx.experimental.graph_gradual_typechecker.transpose_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.graph_gradual_typechecker.transpose_inference_rule.html) - [torch.fx.experimental.meta_tracer.embedding_override](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.embedding_override.html) - [torch.fx.experimental.meta_tracer.functional_relu_override](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.functional_relu_override.html) - [torch.fx.experimental.meta_tracer.nn_layernorm_override](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.nn_layernorm_override.html) - [torch.fx.experimental.meta_tracer.proxys_to_metas](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.proxys_to_metas.html) - [torch.fx.experimental.meta_tracer.symbolic_trace](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.symbolic_trace.html) - [torch.fx.experimental.meta_tracer.torch_abs_override](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.torch_abs_override.html) - [torch.fx.experimental.meta_tracer.torch_nn_relu_override](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.torch_nn_relu_override.html) - [torch.fx.experimental.meta_tracer.torch_relu_override](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.torch_relu_override.html) - [torch.fx.experimental.meta_tracer.torch_where_override](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.meta_tracer.torch_where_override.html) - [torch.fx.experimental.migrate_gradual_types.constraint.is_algebraic_expression](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint.is_algebraic_expression.html) - [torch.fx.experimental.migrate_gradual_types.constraint.is_bool_expr](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint.is_bool_expr.html) - [torch.fx.experimental.migrate_gradual_types.constraint.is_dim](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint.is_dim.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.adaptive_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.adaptive_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.assert_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.assert_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.batchnorm_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.batchnorm_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.bmm_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.bmm_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.embedding_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.embedding_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.embedding_inference_rule_functional](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.embedding_inference_rule_functional.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.eq_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.eq_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.equality_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.equality_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.expand_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.expand_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.full_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.full_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.gt_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.gt_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.lt_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.lt_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.masked_fill_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.masked_fill_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.neq_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.neq_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.register_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.register_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.tensor_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.tensor_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.torch_dim_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.torch_dim_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.torch_linear_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.torch_linear_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.transpose_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.transpose_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.type_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.type_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_generator.view_inference_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_generator.view_inference_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.apply_padding](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.apply_padding.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.calc_last_two_dims](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.calc_last_two_dims.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.create_equality_constraints_for_broadcasting](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.create_equality_constraints_for_broadcasting.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.is_dim_div_by_target](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.is_dim_div_by_target.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.is_target_div_by_dim](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.is_target_div_by_dim.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.no_broadcast_dim_with_index](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.no_broadcast_dim_with_index.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.register_transformation_rule](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.register_transformation_rule.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_constraint](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_constraint.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_get_item](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_get_item.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_get_item_tensor](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_get_item_tensor.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_index_select](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_index_select.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_transpose](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.transform_transpose.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.valid_index](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.valid_index.html) - [torch.fx.experimental.migrate_gradual_types.constraint_transformation.valid_index_tensor](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.constraint_transformation.valid_index_tensor.html) - [torch.fx.experimental.migrate_gradual_types.transform_to_z3.evaluate_conditional_with_constraints](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.transform_to_z3.evaluate_conditional_with_constraints.html) - [torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_algebraic_expression](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_algebraic_expression.html) - [torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_all_constraints](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_all_constraints.html) - [torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_all_constraints_trace_time](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_all_constraints_trace_time.html) - [torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_dimension](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_dimension.html) - [torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_to_z3](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_to_z3.html) - [torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_var](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.migrate_gradual_types.transform_to_z3.transform_var.html) - [torch.fx.experimental.optimization.extract_subgraph](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.optimization.extract_subgraph.html) - [torch.fx.experimental.optimization.modules_to_mkldnn](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.optimization.modules_to_mkldnn.html) - [torch.fx.experimental.optimization.optimize_for_inference](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.optimization.optimize_for_inference.html) - [torch.fx.experimental.optimization.remove_dropout](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.optimization.remove_dropout.html) - [torch.fx.experimental.optimization.replace_node_module](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.optimization.replace_node_module.html) - [torch.fx.experimental.optimization.reset_modules](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.optimization.reset_modules.html) - [torch.fx.experimental.optimization.use_mkl_length](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.optimization.use_mkl_length.html) - [torch.fx.experimental.proxy_tensor.decompose](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.decompose.html) - [torch.fx.experimental.proxy_tensor.disable_autocast_cache](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.disable_autocast_cache.html) - [torch.fx.experimental.proxy_tensor.disable_proxy_modes_tracing](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.disable_proxy_modes_tracing.html) - [torch.fx.experimental.proxy_tensor.extract_val](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.extract_val.html) - [torch.fx.experimental.proxy_tensor.fake_signature](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.fake_signature.html) - [torch.fx.experimental.proxy_tensor.fetch_object_proxy](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.fetch_object_proxy.html) - [torch.fx.experimental.proxy_tensor.fetch_sym_proxy](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.fetch_sym_proxy.html) - [torch.fx.experimental.proxy_tensor.get_proxy_mode](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.get_proxy_mode.html) - [torch.fx.experimental.proxy_tensor.handle_sym_dispatch](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.handle_sym_dispatch.html) - [torch.fx.experimental.proxy_tensor.has_proxy_slot](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.has_proxy_slot.html) - [torch.fx.experimental.proxy_tensor.is_sym_node](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.is_sym_node.html) - [torch.fx.experimental.proxy_tensor.make_fx](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.make_fx.html) - [torch.fx.experimental.proxy_tensor.maybe_disable_thunkify](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.maybe_disable_thunkify.html) - [torch.fx.experimental.proxy_tensor.maybe_enable_thunkify](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.maybe_enable_thunkify.html) - [torch.fx.experimental.proxy_tensor.maybe_handle_decomp](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.maybe_handle_decomp.html) - [torch.fx.experimental.proxy_tensor.proxy_call](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.proxy_call.html) - [torch.fx.experimental.proxy_tensor.set_meta](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.set_meta.html) - [torch.fx.experimental.proxy_tensor.set_original_aten_op](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.set_original_aten_op.html) - [torch.fx.experimental.proxy_tensor.set_proxy_slot](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.set_proxy_slot.html) - [torch.fx.experimental.proxy_tensor.snapshot_fake](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.snapshot_fake.html) - [torch.fx.experimental.proxy_tensor.thunkify](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.thunkify.html) - [torch.fx.experimental.proxy_tensor.track_tensor](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.track_tensor.html) - [torch.fx.experimental.proxy_tensor.track_tensor_tree](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.proxy_tensor.track_tensor_tree.html) - [torch.fx.experimental.recording.record_shapeenv_event](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.recording.record_shapeenv_event.html) - [torch.fx.experimental.recording.replay_shape_env_events](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.recording.replay_shape_env_events.html) - [torch.fx.experimental.recording.shape_env_check_state_equal](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.recording.shape_env_check_state_equal.html) - [torch.fx.experimental.sym_node.is_channels_last_contiguous_2d](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.is_channels_last_contiguous_2d.html) - [torch.fx.experimental.sym_node.is_channels_last_contiguous_3d](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.is_channels_last_contiguous_3d.html) - [torch.fx.experimental.sym_node.is_channels_last_strides_2d](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.is_channels_last_strides_2d.html) - [torch.fx.experimental.sym_node.is_channels_last_strides_3d](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.is_channels_last_strides_3d.html) - [torch.fx.experimental.sym_node.is_contiguous](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.is_contiguous.html) - [torch.fx.experimental.sym_node.is_non_overlapping_and_dense_indicator](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.is_non_overlapping_and_dense_indicator.html) - [torch.fx.experimental.sym_node.method_to_operator](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.method_to_operator.html) - [torch.fx.experimental.sym_node.sympy_is_channels_last_contiguous_2d](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.sympy_is_channels_last_contiguous_2d.html) - [torch.fx.experimental.sym_node.sympy_is_channels_last_contiguous_3d](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.sympy_is_channels_last_contiguous_3d.html) - [torch.fx.experimental.sym_node.sympy_is_channels_last_strides_2d](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.sympy_is_channels_last_strides_2d.html) - [torch.fx.experimental.sym_node.sympy_is_channels_last_strides_3d](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.sympy_is_channels_last_strides_3d.html) - [torch.fx.experimental.sym_node.sympy_is_channels_last_strides_generic](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.sympy_is_channels_last_strides_generic.html) - [torch.fx.experimental.sym_node.sympy_is_contiguous](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.sympy_is_contiguous.html) - [torch.fx.experimental.sym_node.sympy_is_contiguous_generic](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.sympy_is_contiguous_generic.html) - [torch.fx.experimental.sym_node.to_node](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.sym_node.to_node.html) - [CallMethodKey](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.CallMethodKey.html) - [ConvertIntKey](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.ConvertIntKey.html) - [DimConstraints](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.DimConstraints.html) - [DimDynamic](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.DimDynamic.html) - [DivideByKey](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.DivideByKey.html) - [EqualityConstraint](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.EqualityConstraint.html) - [InnerTensorKey](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.InnerTensorKey.html) - [PropagateUnbackedSymInts](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts.html) - [RelaxedUnspecConstraint](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.RelaxedUnspecConstraint.html) - [ShapeEnv](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.ShapeEnv.html) - [ShapeEnvSettings](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.ShapeEnvSettings.html) - [Specialization](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.Specialization.html) - [StatefulSymbolicContext](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.StatefulSymbolicContext.html) - [StatelessSymbolicContext](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.StatelessSymbolicContext.html) - [StrictMinMaxConstraint](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.StrictMinMaxConstraint.html) - [SubclassSymbolicContext](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.SubclassSymbolicContext.html) - [SymbolicContext](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.SymbolicContext.html) - [torch.fx.experimental.symbolic_shapes.canonicalize_bool_expr](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.canonicalize_bool_expr.html) - [torch.fx.experimental.symbolic_shapes.cast_symbool_to_symint_guardless](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.cast_symbool_to_symint_guardless.html) - [torch.fx.experimental.symbolic_shapes.check_consistent](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.check_consistent.html) - [torch.fx.experimental.symbolic_shapes.compute_unbacked_bindings](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.compute_unbacked_bindings.html) - [torch.fx.experimental.symbolic_shapes.constrain_range](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.constrain_range.html) - [torch.fx.experimental.symbolic_shapes.constrain_unify](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.constrain_unify.html) - [torch.fx.experimental.symbolic_shapes.create_contiguous](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.create_contiguous.html) - [torch.fx.experimental.symbolic_shapes.error](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.error.html) - [torch.fx.experimental.symbolic_shapes.eval_guards](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.eval_guards.html) - [torch.fx.experimental.symbolic_shapes.eval_is_non_overlapping_and_dense](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.eval_is_non_overlapping_and_dense.html) - [torch.fx.experimental.symbolic_shapes.expect_true](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.expect_true.html) - [torch.fx.experimental.symbolic_shapes.find_symbol_binding_fx_nodes](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.find_symbol_binding_fx_nodes.html) - [torch.fx.experimental.symbolic_shapes.free_symbols](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.free_symbols.html) - [torch.fx.experimental.symbolic_shapes.free_unbacked_symbols](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.free_unbacked_symbols.html) - [torch.fx.experimental.symbolic_shapes.fx_placeholder_targets](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.fx_placeholder_targets.html) - [torch.fx.experimental.symbolic_shapes.fx_placeholder_vals](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.fx_placeholder_vals.html) - [torch.fx.experimental.symbolic_shapes.guard_bool](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.guard_bool.html) - [torch.fx.experimental.symbolic_shapes.guard_float](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.guard_float.html) - [torch.fx.experimental.symbolic_shapes.guard_int](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.guard_int.html) - [torch.fx.experimental.symbolic_shapes.guard_or_false](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.guard_or_false.html) - [torch.fx.experimental.symbolic_shapes.guard_or_true](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.guard_or_true.html) - [torch.fx.experimental.symbolic_shapes.guard_scalar](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.guard_scalar.html) - [torch.fx.experimental.symbolic_shapes.guard_size_oblivious](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.guard_size_oblivious.html) - [torch.fx.experimental.symbolic_shapes.has_free_symbols](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.has_free_symbols.html) - [torch.fx.experimental.symbolic_shapes.has_free_unbacked_symbols](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.has_free_unbacked_symbols.html) - [torch.fx.experimental.symbolic_shapes.has_hint](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.has_hint.html) - [torch.fx.experimental.symbolic_shapes.has_static_value](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.has_static_value.html) - [torch.fx.experimental.symbolic_shapes.has_symbolic_sizes_strides](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.has_symbolic_sizes_strides.html) - [torch.fx.experimental.symbolic_shapes.hint_int](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.hint_int.html) - [torch.fx.experimental.symbolic_shapes.is_accessor_node](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.is_accessor_node.html) - [torch.fx.experimental.symbolic_shapes.is_concrete_bool](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.is_concrete_bool.html) - [torch.fx.experimental.symbolic_shapes.is_concrete_float](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.is_concrete_float.html) - [torch.fx.experimental.symbolic_shapes.is_concrete_int](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.is_concrete_int.html) - [torch.fx.experimental.symbolic_shapes.is_nested_int](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.is_nested_int.html) - [torch.fx.experimental.symbolic_shapes.is_symbol_binding_fx_node](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.is_symbol_binding_fx_node.html) - [torch.fx.experimental.symbolic_shapes.is_symbolic](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.is_symbolic.html) - [torch.fx.experimental.symbolic_shapes.log_lru_cache_stats](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.log_lru_cache_stats.html) - [torch.fx.experimental.symbolic_shapes.lru_cache](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.lru_cache.html) - [torch.fx.experimental.symbolic_shapes.rebind_unbacked](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.rebind_unbacked.html) - [torch.fx.experimental.symbolic_shapes.resolve_unbacked_bindings](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.resolve_unbacked_bindings.html) - [torch.fx.experimental.symbolic_shapes.size_hint](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.size_hint.html) - [torch.fx.experimental.symbolic_shapes.statically_known_false](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.statically_known_false.html) - [torch.fx.experimental.symbolic_shapes.statically_known_true](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.statically_known_true.html) - [torch.fx.experimental.symbolic_shapes.sym_and](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.sym_and.html) - [torch.fx.experimental.symbolic_shapes.sym_eq](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.sym_eq.html) - [torch.fx.experimental.symbolic_shapes.sym_or](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.symbolic_shapes.sym_or.html) - [torch.fx.experimental.unification.core.reify](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.core.reify.html) - [torch.fx.experimental.unification.unification_tools.assoc](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.assoc.html) - [torch.fx.experimental.unification.unification_tools.assoc_in](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.assoc_in.html) - [torch.fx.experimental.unification.unification_tools.dissoc](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.dissoc.html) - [torch.fx.experimental.unification.unification_tools.first](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.first.html) - [torch.fx.experimental.unification.unification_tools.itemfilter](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.itemfilter.html) - [torch.fx.experimental.unification.unification_tools.itemmap](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.itemmap.html) - [torch.fx.experimental.unification.unification_tools.keyfilter](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.keyfilter.html) - [torch.fx.experimental.unification.unification_tools.keymap](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.keymap.html) - [torch.fx.experimental.unification.unification_tools.merge](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.merge.html) - [torch.fx.experimental.unification.unification_tools.merge_with](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.merge_with.html) - [torch.fx.experimental.unification.unification_tools.update_in](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.update_in.html) - [torch.fx.experimental.unification.unification_tools.valfilter](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.valfilter.html) - [torch.fx.experimental.unification.unification_tools.valmap](https://docs.pytorch.org/docs/stable/generated/torch.fx.experimental.unification.unification_tools.valmap.html) - [torch.gather](https://docs.pytorch.org/docs/stable/generated/torch.gather.html) - [torch.gcd](https://docs.pytorch.org/docs/stable/generated/torch.gcd.html) - [torch.ge](https://docs.pytorch.org/docs/stable/generated/torch.ge.html) - [torch.geqrf](https://docs.pytorch.org/docs/stable/generated/torch.geqrf.html) - [torch.ger](https://docs.pytorch.org/docs/stable/generated/torch.ger.html) - [torch.get_default_device](https://docs.pytorch.org/docs/stable/generated/torch.get_default_device.html) - [torch.get_default_dtype](https://docs.pytorch.org/docs/stable/generated/torch.get_default_dtype.html) - [torch.get_deterministic_debug_mode](https://docs.pytorch.org/docs/stable/generated/torch.get_deterministic_debug_mode.html) - [torch.get_device_module](https://docs.pytorch.org/docs/stable/generated/torch.get_device_module.html) - [torch.get_float32_matmul_precision](https://docs.pytorch.org/docs/stable/generated/torch.get_float32_matmul_precision.html) - [torch.get_num_interop_threads](https://docs.pytorch.org/docs/stable/generated/torch.get_num_interop_threads.html) - [torch.get_num_threads](https://docs.pytorch.org/docs/stable/generated/torch.get_num_threads.html) - [torch.get_rng_state](https://docs.pytorch.org/docs/stable/generated/torch.get_rng_state.html) - [torch.gradient](https://docs.pytorch.org/docs/stable/generated/torch.gradient.html) - [torch.greater](https://docs.pytorch.org/docs/stable/generated/torch.greater.html) - [torch.greater_equal](https://docs.pytorch.org/docs/stable/generated/torch.greater_equal.html) - [torch.gt](https://docs.pytorch.org/docs/stable/generated/torch.gt.html) - [torch.hamming_window](https://docs.pytorch.org/docs/stable/generated/torch.hamming_window.html) - [torch.hann_window](https://docs.pytorch.org/docs/stable/generated/torch.hann_window.html) - [torch.hash_tensor](https://docs.pytorch.org/docs/stable/generated/torch.hash_tensor.html) - [torch.heaviside](https://docs.pytorch.org/docs/stable/generated/torch.heaviside.html) - [torch.histc](https://docs.pytorch.org/docs/stable/generated/torch.histc.html) - [torch.histogram](https://docs.pytorch.org/docs/stable/generated/torch.histogram.html) - [torch.histogramdd](https://docs.pytorch.org/docs/stable/generated/torch.histogramdd.html) - [torch.hsplit](https://docs.pytorch.org/docs/stable/generated/torch.hsplit.html) - [torch.hspmm](https://docs.pytorch.org/docs/stable/generated/torch.hspmm.html) - [torch.hstack](https://docs.pytorch.org/docs/stable/generated/torch.hstack.html) - [torch.hypot](https://docs.pytorch.org/docs/stable/generated/torch.hypot.html) - [torch.i0](https://docs.pytorch.org/docs/stable/generated/torch.i0.html) - [torch.igamma](https://docs.pytorch.org/docs/stable/generated/torch.igamma.html) - [torch.igammac](https://docs.pytorch.org/docs/stable/generated/torch.igammac.html) - [torch.imag](https://docs.pytorch.org/docs/stable/generated/torch.imag.html) - [torch.index_add](https://docs.pytorch.org/docs/stable/generated/torch.index_add.html) - [torch.index_copy](https://docs.pytorch.org/docs/stable/generated/torch.index_copy.html) - [torch.index_reduce](https://docs.pytorch.org/docs/stable/generated/torch.index_reduce.html) - [torch.index_select](https://docs.pytorch.org/docs/stable/generated/torch.index_select.html) - [torch.initial_seed](https://docs.pytorch.org/docs/stable/generated/torch.initial_seed.html) - [torch.inner](https://docs.pytorch.org/docs/stable/generated/torch.inner.html) - [torch.inverse](https://docs.pytorch.org/docs/stable/generated/torch.inverse.html) - [torch.is_complex](https://docs.pytorch.org/docs/stable/generated/torch.is_complex.html) - [torch.is_conj](https://docs.pytorch.org/docs/stable/generated/torch.is_conj.html) - [torch.is_deterministic_algorithms_warn_only_enabled](https://docs.pytorch.org/docs/stable/generated/torch.is_deterministic_algorithms_warn_only_enabled.html) - [torch.is_floating_point](https://docs.pytorch.org/docs/stable/generated/torch.is_floating_point.html) - [torch.is_grad_enabled](https://docs.pytorch.org/docs/stable/generated/torch.is_grad_enabled.html) - [torch.is_inference_mode_enabled](https://docs.pytorch.org/docs/stable/generated/torch.is_inference_mode_enabled.html) - [torch.is_nonzero](https://docs.pytorch.org/docs/stable/generated/torch.is_nonzero.html) - [torch.is_storage](https://docs.pytorch.org/docs/stable/generated/torch.is_storage.html) - [torch.is_tensor](https://docs.pytorch.org/docs/stable/generated/torch.is_tensor.html) - [torch.is_warn_always_enabled](https://docs.pytorch.org/docs/stable/generated/torch.is_warn_always_enabled.html) - [torch.isclose](https://docs.pytorch.org/docs/stable/generated/torch.isclose.html) - [torch.isfinite](https://docs.pytorch.org/docs/stable/generated/torch.isfinite.html) - [torch.isin](https://docs.pytorch.org/docs/stable/generated/torch.isin.html) - [torch.isinf](https://docs.pytorch.org/docs/stable/generated/torch.isinf.html) - [torch.isnan](https://docs.pytorch.org/docs/stable/generated/torch.isnan.html) - [torch.isneginf](https://docs.pytorch.org/docs/stable/generated/torch.isneginf.html) - [torch.isposinf](https://docs.pytorch.org/docs/stable/generated/torch.isposinf.html) - [torch.isreal](https://docs.pytorch.org/docs/stable/generated/torch.isreal.html) - [torch.istft](https://docs.pytorch.org/docs/stable/generated/torch.istft.html) - [torch.kaiser_window](https://docs.pytorch.org/docs/stable/generated/torch.kaiser_window.html) - [torch.kron](https://docs.pytorch.org/docs/stable/generated/torch.kron.html) - [torch.kthvalue](https://docs.pytorch.org/docs/stable/generated/torch.kthvalue.html) - [torch.lcm](https://docs.pytorch.org/docs/stable/generated/torch.lcm.html) - [torch.ldexp](https://docs.pytorch.org/docs/stable/generated/torch.ldexp.html) - [torch.le](https://docs.pytorch.org/docs/stable/generated/torch.le.html) - [torch.lerp](https://docs.pytorch.org/docs/stable/generated/torch.lerp.html) - [torch.less](https://docs.pytorch.org/docs/stable/generated/torch.less.html) - [torch.less_equal](https://docs.pytorch.org/docs/stable/generated/torch.less_equal.html) - [torch.lgamma](https://docs.pytorch.org/docs/stable/generated/torch.lgamma.html) - [torch.linalg.cholesky](https://docs.pytorch.org/docs/stable/generated/torch.linalg.cholesky.html) - [torch.linalg.cholesky_ex](https://docs.pytorch.org/docs/stable/generated/torch.linalg.cholesky_ex.html) - [torch.linalg.cond](https://docs.pytorch.org/docs/stable/generated/torch.linalg.cond.html) - [torch.linalg.cross](https://docs.pytorch.org/docs/stable/generated/torch.linalg.cross.html) - [torch.linalg.det](https://docs.pytorch.org/docs/stable/generated/torch.linalg.det.html) - [torch.linalg.diagonal](https://docs.pytorch.org/docs/stable/generated/torch.linalg.diagonal.html) - [torch.linalg.eig](https://docs.pytorch.org/docs/stable/generated/torch.linalg.eig.html) - [torch.linalg.eigh](https://docs.pytorch.org/docs/stable/generated/torch.linalg.eigh.html) - [torch.linalg.eigvals](https://docs.pytorch.org/docs/stable/generated/torch.linalg.eigvals.html) - [torch.linalg.eigvalsh](https://docs.pytorch.org/docs/stable/generated/torch.linalg.eigvalsh.html) - [torch.linalg.householder_product](https://docs.pytorch.org/docs/stable/generated/torch.linalg.householder_product.html) - [torch.linalg.inv](https://docs.pytorch.org/docs/stable/generated/torch.linalg.inv.html) - [torch.linalg.inv_ex](https://docs.pytorch.org/docs/stable/generated/torch.linalg.inv_ex.html) - [torch.linalg.ldl_factor](https://docs.pytorch.org/docs/stable/generated/torch.linalg.ldl_factor.html) - [torch.linalg.ldl_factor_ex](https://docs.pytorch.org/docs/stable/generated/torch.linalg.ldl_factor_ex.html) - [torch.linalg.ldl_solve](https://docs.pytorch.org/docs/stable/generated/torch.linalg.ldl_solve.html) - [torch.linalg.lstsq](https://docs.pytorch.org/docs/stable/generated/torch.linalg.lstsq.html) - [torch.linalg.lu](https://docs.pytorch.org/docs/stable/generated/torch.linalg.lu.html) - [torch.linalg.lu_factor](https://docs.pytorch.org/docs/stable/generated/torch.linalg.lu_factor.html) - [torch.linalg.lu_factor_ex](https://docs.pytorch.org/docs/stable/generated/torch.linalg.lu_factor_ex.html) - [torch.linalg.lu_solve](https://docs.pytorch.org/docs/stable/generated/torch.linalg.lu_solve.html) - [torch.linalg.matmul](https://docs.pytorch.org/docs/stable/generated/torch.linalg.matmul.html) - [torch.linalg.matrix_exp](https://docs.pytorch.org/docs/stable/generated/torch.linalg.matrix_exp.html) - [torch.linalg.matrix_norm](https://docs.pytorch.org/docs/stable/generated/torch.linalg.matrix_norm.html) - [torch.linalg.matrix_power](https://docs.pytorch.org/docs/stable/generated/torch.linalg.matrix_power.html) - [torch.linalg.matrix_rank](https://docs.pytorch.org/docs/stable/generated/torch.linalg.matrix_rank.html) - [torch.linalg.multi_dot](https://docs.pytorch.org/docs/stable/generated/torch.linalg.multi_dot.html) - [torch.linalg.norm](https://docs.pytorch.org/docs/stable/generated/torch.linalg.norm.html) - [torch.linalg.pinv](https://docs.pytorch.org/docs/stable/generated/torch.linalg.pinv.html) - [torch.linalg.qr](https://docs.pytorch.org/docs/stable/generated/torch.linalg.qr.html) - [torch.linalg.slogdet](https://docs.pytorch.org/docs/stable/generated/torch.linalg.slogdet.html) - [torch.linalg.solve](https://docs.pytorch.org/docs/stable/generated/torch.linalg.solve.html) - [torch.linalg.solve_ex](https://docs.pytorch.org/docs/stable/generated/torch.linalg.solve_ex.html) - [torch.linalg.solve_triangular](https://docs.pytorch.org/docs/stable/generated/torch.linalg.solve_triangular.html) - [torch.linalg.svd](https://docs.pytorch.org/docs/stable/generated/torch.linalg.svd.html) - [torch.linalg.svdvals](https://docs.pytorch.org/docs/stable/generated/torch.linalg.svdvals.html) - [torch.linalg.tensorinv](https://docs.pytorch.org/docs/stable/generated/torch.linalg.tensorinv.html) - [torch.linalg.tensorsolve](https://docs.pytorch.org/docs/stable/generated/torch.linalg.tensorsolve.html) - [torch.linalg.vander](https://docs.pytorch.org/docs/stable/generated/torch.linalg.vander.html) - [torch.linalg.vecdot](https://docs.pytorch.org/docs/stable/generated/torch.linalg.vecdot.html) - [torch.linalg.vector_norm](https://docs.pytorch.org/docs/stable/generated/torch.linalg.vector_norm.html) - [torch.linspace](https://docs.pytorch.org/docs/stable/generated/torch.linspace.html) - [torch.load](https://docs.pytorch.org/docs/stable/generated/torch.load.html) - [torch.lobpcg](https://docs.pytorch.org/docs/stable/generated/torch.lobpcg.html) - [torch.log](https://docs.pytorch.org/docs/stable/generated/torch.log.html) - [torch.log10](https://docs.pytorch.org/docs/stable/generated/torch.log10.html) - [torch.log1p](https://docs.pytorch.org/docs/stable/generated/torch.log1p.html) - [torch.log2](https://docs.pytorch.org/docs/stable/generated/torch.log2.html) - [torch.logaddexp](https://docs.pytorch.org/docs/stable/generated/torch.logaddexp.html) - [torch.logaddexp2](https://docs.pytorch.org/docs/stable/generated/torch.logaddexp2.html) - [torch.logcumsumexp](https://docs.pytorch.org/docs/stable/generated/torch.logcumsumexp.html) - [torch.logdet](https://docs.pytorch.org/docs/stable/generated/torch.logdet.html) - [torch.logical_and](https://docs.pytorch.org/docs/stable/generated/torch.logical_and.html) - [torch.logical_not](https://docs.pytorch.org/docs/stable/generated/torch.logical_not.html) - [torch.logical_or](https://docs.pytorch.org/docs/stable/generated/torch.logical_or.html) - [torch.logical_xor](https://docs.pytorch.org/docs/stable/generated/torch.logical_xor.html) - [torch.logit](https://docs.pytorch.org/docs/stable/generated/torch.logit.html) - [torch.logspace](https://docs.pytorch.org/docs/stable/generated/torch.logspace.html) - [torch.logsumexp](https://docs.pytorch.org/docs/stable/generated/torch.logsumexp.html) - [torch.lt](https://docs.pytorch.org/docs/stable/generated/torch.lt.html) - [torch.lu](https://docs.pytorch.org/docs/stable/generated/torch.lu.html) - [torch.lu_solve](https://docs.pytorch.org/docs/stable/generated/torch.lu_solve.html) - [torch.lu_unpack](https://docs.pytorch.org/docs/stable/generated/torch.lu_unpack.html) - [torch.manual_seed](https://docs.pytorch.org/docs/stable/generated/torch.manual_seed.html) - [torch.masked_select](https://docs.pytorch.org/docs/stable/generated/torch.masked_select.html) - [torch.matmul](https://docs.pytorch.org/docs/stable/generated/torch.matmul.html) - [torch.matrix_exp](https://docs.pytorch.org/docs/stable/generated/torch.matrix_exp.html) - [torch.matrix_power](https://docs.pytorch.org/docs/stable/generated/torch.matrix_power.html) - [torch.max](https://docs.pytorch.org/docs/stable/generated/torch.max.html) - [torch.maximum](https://docs.pytorch.org/docs/stable/generated/torch.maximum.html) - [torch.mean](https://docs.pytorch.org/docs/stable/generated/torch.mean.html) - [torch.median](https://docs.pytorch.org/docs/stable/generated/torch.median.html) - [torch.meshgrid](https://docs.pytorch.org/docs/stable/generated/torch.meshgrid.html) - [torch.min](https://docs.pytorch.org/docs/stable/generated/torch.min.html) - [torch.minimum](https://docs.pytorch.org/docs/stable/generated/torch.minimum.html) - [torch.mm](https://docs.pytorch.org/docs/stable/generated/torch.mm.html) - [torch.mode](https://docs.pytorch.org/docs/stable/generated/torch.mode.html) - [torch.moveaxis](https://docs.pytorch.org/docs/stable/generated/torch.moveaxis.html) - [torch.movedim](https://docs.pytorch.org/docs/stable/generated/torch.movedim.html) - [torch.mps.compile_shader](https://docs.pytorch.org/docs/stable/generated/torch.mps.compile_shader.html) - [torch.mps.current_allocated_memory](https://docs.pytorch.org/docs/stable/generated/torch.mps.current_allocated_memory.html) - [torch.mps.device_count](https://docs.pytorch.org/docs/stable/generated/torch.mps.device_count.html) - [torch.mps.driver_allocated_memory](https://docs.pytorch.org/docs/stable/generated/torch.mps.driver_allocated_memory.html) - [torch.mps.empty_cache](https://docs.pytorch.org/docs/stable/generated/torch.mps.empty_cache.html) - [Event](https://docs.pytorch.org/docs/stable/generated/torch.mps.event.Event.html) - [torch.mps.get_rng_state](https://docs.pytorch.org/docs/stable/generated/torch.mps.get_rng_state.html) - [torch.mps.manual_seed](https://docs.pytorch.org/docs/stable/generated/torch.mps.manual_seed.html) - [torch.mps.profiler.is_capturing_metal](https://docs.pytorch.org/docs/stable/generated/torch.mps.profiler.is_capturing_metal.html) - [torch.mps.profiler.is_metal_capture_enabled](https://docs.pytorch.org/docs/stable/generated/torch.mps.profiler.is_metal_capture_enabled.html) - [torch.mps.profiler.metal_capture](https://docs.pytorch.org/docs/stable/generated/torch.mps.profiler.metal_capture.html) - [torch.mps.profiler.profile](https://docs.pytorch.org/docs/stable/generated/torch.mps.profiler.profile.html) - [torch.mps.profiler.start](https://docs.pytorch.org/docs/stable/generated/torch.mps.profiler.start.html) - [torch.mps.profiler.stop](https://docs.pytorch.org/docs/stable/generated/torch.mps.profiler.stop.html) - [torch.mps.recommended_max_memory](https://docs.pytorch.org/docs/stable/generated/torch.mps.recommended_max_memory.html) - [torch.mps.seed](https://docs.pytorch.org/docs/stable/generated/torch.mps.seed.html) - [torch.mps.set_per_process_memory_fraction](https://docs.pytorch.org/docs/stable/generated/torch.mps.set_per_process_memory_fraction.html) - [torch.mps.set_rng_state](https://docs.pytorch.org/docs/stable/generated/torch.mps.set_rng_state.html) - [torch.mps.synchronize](https://docs.pytorch.org/docs/stable/generated/torch.mps.synchronize.html) - [torch.msort](https://docs.pytorch.org/docs/stable/generated/torch.msort.html) - [torch.mtia.DeferredMtiaCallError](https://docs.pytorch.org/docs/stable/generated/torch.mtia.DeferredMtiaCallError.html) - [Event](https://docs.pytorch.org/docs/stable/generated/torch.mtia.Event.html) - [StreamContext](https://docs.pytorch.org/docs/stable/generated/torch.mtia.StreamContext.html) - [Stream](https://docs.pytorch.org/docs/stable/generated/torch.mtia.Stream_class.html) - [torch.mtia.attach_out_of_memory_observer](https://docs.pytorch.org/docs/stable/generated/torch.mtia.attach_out_of_memory_observer.html) - [torch.mtia.current_device](https://docs.pytorch.org/docs/stable/generated/torch.mtia.current_device.html) - [torch.mtia.current_stream](https://docs.pytorch.org/docs/stable/generated/torch.mtia.current_stream.html) - [torch.mtia.default_stream](https://docs.pytorch.org/docs/stable/generated/torch.mtia.default_stream.html) - [device](https://docs.pytorch.org/docs/stable/generated/torch.mtia.device.html) - [torch.mtia.device_count](https://docs.pytorch.org/docs/stable/generated/torch.mtia.device_count.html) - [torch.mtia.empty_cache](https://docs.pytorch.org/docs/stable/generated/torch.mtia.empty_cache.html) - [torch.mtia.get_device_capability](https://docs.pytorch.org/docs/stable/generated/torch.mtia.get_device_capability.html) - [torch.mtia.get_rng_state](https://docs.pytorch.org/docs/stable/generated/torch.mtia.get_rng_state.html) - [torch.mtia.get_rng_state_all](https://docs.pytorch.org/docs/stable/generated/torch.mtia.get_rng_state_all.html) - [torch.mtia.init](https://docs.pytorch.org/docs/stable/generated/torch.mtia.init.html) - [torch.mtia.initial_seed](https://docs.pytorch.org/docs/stable/generated/torch.mtia.initial_seed.html) - [torch.mtia.is_available](https://docs.pytorch.org/docs/stable/generated/torch.mtia.is_available.html) - [torch.mtia.is_bf16_supported](https://docs.pytorch.org/docs/stable/generated/torch.mtia.is_bf16_supported.html) - [torch.mtia.is_initialized](https://docs.pytorch.org/docs/stable/generated/torch.mtia.is_initialized.html) - [torch.mtia.manual_seed](https://docs.pytorch.org/docs/stable/generated/torch.mtia.manual_seed.html) - [torch.mtia.manual_seed_all](https://docs.pytorch.org/docs/stable/generated/torch.mtia.manual_seed_all.html) - [torch.mtia.memory.memory_allocated](https://docs.pytorch.org/docs/stable/generated/torch.mtia.memory.memory_allocated.html) - [torch.mtia.memory.memory_stats](https://docs.pytorch.org/docs/stable/generated/torch.mtia.memory.memory_stats.html) - [torch.mtia.memory_stats](https://docs.pytorch.org/docs/stable/generated/torch.mtia.memory_stats.html) - [torch.mtia.record_memory_history](https://docs.pytorch.org/docs/stable/generated/torch.mtia.record_memory_history.html) - [torch.mtia.seed](https://docs.pytorch.org/docs/stable/generated/torch.mtia.seed.html) - [torch.mtia.seed_all](https://docs.pytorch.org/docs/stable/generated/torch.mtia.seed_all.html) - [torch.mtia.set_device](https://docs.pytorch.org/docs/stable/generated/torch.mtia.set_device.html) - [torch.mtia.set_rng_state](https://docs.pytorch.org/docs/stable/generated/torch.mtia.set_rng_state.html) - [torch.mtia.set_rng_state_all](https://docs.pytorch.org/docs/stable/generated/torch.mtia.set_rng_state_all.html) - [torch.mtia.set_stream](https://docs.pytorch.org/docs/stable/generated/torch.mtia.set_stream.html) - [torch.mtia.snapshot](https://docs.pytorch.org/docs/stable/generated/torch.mtia.snapshot.html) - [torch.mtia.stream](https://docs.pytorch.org/docs/stable/generated/torch.mtia.stream_function.html) - [torch.mtia.synchronize](https://docs.pytorch.org/docs/stable/generated/torch.mtia.synchronize.html) - [torch.mul](https://docs.pytorch.org/docs/stable/generated/torch.mul.html) - [torch.multinomial](https://docs.pytorch.org/docs/stable/generated/torch.multinomial.html) - [torch.multiply](https://docs.pytorch.org/docs/stable/generated/torch.multiply.html) - [torch.mv](https://docs.pytorch.org/docs/stable/generated/torch.mv.html) - [torch.mvlgamma](https://docs.pytorch.org/docs/stable/generated/torch.mvlgamma.html) - [torch.nan_to_num](https://docs.pytorch.org/docs/stable/generated/torch.nan_to_num.html) - [torch.nanmean](https://docs.pytorch.org/docs/stable/generated/torch.nanmean.html) - [torch.nanmedian](https://docs.pytorch.org/docs/stable/generated/torch.nanmedian.html) - [torch.nanquantile](https://docs.pytorch.org/docs/stable/generated/torch.nanquantile.html) - [torch.nansum](https://docs.pytorch.org/docs/stable/generated/torch.nansum.html) - [torch.narrow](https://docs.pytorch.org/docs/stable/generated/torch.narrow.html) - [torch.narrow_copy](https://docs.pytorch.org/docs/stable/generated/torch.narrow_copy.html) - [torch.ne](https://docs.pytorch.org/docs/stable/generated/torch.ne.html) - [torch.neg](https://docs.pytorch.org/docs/stable/generated/torch.neg.html) - [torch.negative](https://docs.pytorch.org/docs/stable/generated/torch.negative.html) - [torch.nextafter](https://docs.pytorch.org/docs/stable/generated/torch.nextafter.html) - [AdaptiveAvgPool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AdaptiveAvgPool1d.html) - [AdaptiveAvgPool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AdaptiveAvgPool2d.html) - [AdaptiveAvgPool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AdaptiveAvgPool3d.html) - [AdaptiveLogSoftmaxWithLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.AdaptiveLogSoftmaxWithLoss.html) - [AdaptiveMaxPool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AdaptiveMaxPool1d.html) - [AdaptiveMaxPool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AdaptiveMaxPool2d.html) - [AdaptiveMaxPool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AdaptiveMaxPool3d.html) - [AlphaDropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.AlphaDropout.html) - [AvgPool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AvgPool1d.html) - [AvgPool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AvgPool2d.html) - [AvgPool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.AvgPool3d.html) - [BCELoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.BCELoss.html) - [BCEWithLogitsLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html) - [BatchNorm1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.BatchNorm1d.html) - [BatchNorm2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.BatchNorm2d.html) - [BatchNorm3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.BatchNorm3d.html) - [Bilinear](https://docs.pytorch.org/docs/stable/generated/torch.nn.Bilinear.html) - [CELU](https://docs.pytorch.org/docs/stable/generated/torch.nn.CELU.html) - [CTCLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.CTCLoss.html) - [ChannelShuffle](https://docs.pytorch.org/docs/stable/generated/torch.nn.ChannelShuffle.html) - [CircularPad1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.CircularPad1d.html) - [CircularPad2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.CircularPad2d.html) - [CircularPad3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.CircularPad3d.html) - [ConstantPad1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ConstantPad1d.html) - [ConstantPad2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ConstantPad2d.html) - [ConstantPad3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ConstantPad3d.html) - [Conv1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.Conv1d.html) - [Conv2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.Conv2d.html) - [Conv3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.Conv3d.html) - [ConvTranspose1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ConvTranspose1d.html) - [ConvTranspose2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ConvTranspose2d.html) - [ConvTranspose3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ConvTranspose3d.html) - [CosineEmbeddingLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.CosineEmbeddingLoss.html) - [CosineSimilarity](https://docs.pytorch.org/docs/stable/generated/torch.nn.CosineSimilarity.html) - [CrossEntropyLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html) - [DataParallel](https://docs.pytorch.org/docs/stable/generated/torch.nn.DataParallel.html) - [Dropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.Dropout.html) - [Dropout1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.Dropout1d.html) - [Dropout2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.Dropout2d.html) - [Dropout3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.Dropout3d.html) - [ELU](https://docs.pytorch.org/docs/stable/generated/torch.nn.ELU.html) - [Embedding](https://docs.pytorch.org/docs/stable/generated/torch.nn.Embedding.html) - [EmbeddingBag](https://docs.pytorch.org/docs/stable/generated/torch.nn.EmbeddingBag.html) - [FeatureAlphaDropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.FeatureAlphaDropout.html) - [Fold](https://docs.pytorch.org/docs/stable/generated/torch.nn.Fold.html) - [FractionalMaxPool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.FractionalMaxPool2d.html) - [FractionalMaxPool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.FractionalMaxPool3d.html) - [GELU](https://docs.pytorch.org/docs/stable/generated/torch.nn.GELU.html) - [GLU](https://docs.pytorch.org/docs/stable/generated/torch.nn.GLU.html) - [GRU](https://docs.pytorch.org/docs/stable/generated/torch.nn.GRU.html) - [GRUCell](https://docs.pytorch.org/docs/stable/generated/torch.nn.GRUCell.html) - [GaussianNLLLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.GaussianNLLLoss.html) - [GroupNorm](https://docs.pytorch.org/docs/stable/generated/torch.nn.GroupNorm.html) - [Hardshrink](https://docs.pytorch.org/docs/stable/generated/torch.nn.Hardshrink.html) - [Hardsigmoid](https://docs.pytorch.org/docs/stable/generated/torch.nn.Hardsigmoid.html) - [Hardswish](https://docs.pytorch.org/docs/stable/generated/torch.nn.Hardswish.html) - [Hardtanh](https://docs.pytorch.org/docs/stable/generated/torch.nn.Hardtanh.html) - [HingeEmbeddingLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.HingeEmbeddingLoss.html) - [HuberLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.HuberLoss.html) - [Identity](https://docs.pytorch.org/docs/stable/generated/torch.nn.Identity.html) - [InstanceNorm1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.InstanceNorm1d.html) - [InstanceNorm2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.InstanceNorm2d.html) - [InstanceNorm3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.InstanceNorm3d.html) - [KLDivLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.KLDivLoss.html) - [L1Loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.L1Loss.html) - [LPPool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LPPool1d.html) - [LPPool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LPPool2d.html) - [LPPool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LPPool3d.html) - [LSTM](https://docs.pytorch.org/docs/stable/generated/torch.nn.LSTM.html) - [LSTMCell](https://docs.pytorch.org/docs/stable/generated/torch.nn.LSTMCell.html) - [LayerNorm](https://docs.pytorch.org/docs/stable/generated/torch.nn.LayerNorm.html) - [LazyBatchNorm1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyBatchNorm1d.html) - [LazyBatchNorm2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyBatchNorm2d.html) - [LazyBatchNorm3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyBatchNorm3d.html) - [LazyConv1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyConv1d.html) - [LazyConv2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyConv2d.html) - [LazyConv3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyConv3d.html) - [LazyConvTranspose1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyConvTranspose1d.html) - [LazyConvTranspose2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyConvTranspose2d.html) - [LazyConvTranspose3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyConvTranspose3d.html) - [LazyInstanceNorm1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyInstanceNorm1d.html) - [LazyInstanceNorm2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyInstanceNorm2d.html) - [LazyInstanceNorm3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyInstanceNorm3d.html) - [LazyLinear](https://docs.pytorch.org/docs/stable/generated/torch.nn.LazyLinear.html) - [LeakyReLU](https://docs.pytorch.org/docs/stable/generated/torch.nn.LeakyReLU.html) - [Linear](https://docs.pytorch.org/docs/stable/generated/torch.nn.Linear.html) - [LocalResponseNorm](https://docs.pytorch.org/docs/stable/generated/torch.nn.LocalResponseNorm.html) - [LogSigmoid](https://docs.pytorch.org/docs/stable/generated/torch.nn.LogSigmoid.html) - [LogSoftmax](https://docs.pytorch.org/docs/stable/generated/torch.nn.LogSoftmax.html) - [MSELoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.MSELoss.html) - [MarginRankingLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.MarginRankingLoss.html) - [MaxPool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.MaxPool1d.html) - [MaxPool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.MaxPool2d.html) - [MaxPool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.MaxPool3d.html) - [MaxUnpool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.MaxUnpool1d.html) - [MaxUnpool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.MaxUnpool2d.html) - [MaxUnpool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.MaxUnpool3d.html) - [Mish](https://docs.pytorch.org/docs/stable/generated/torch.nn.Mish.html) - [Module](https://docs.pytorch.org/docs/stable/generated/torch.nn.Module.html) - [ModuleDict](https://docs.pytorch.org/docs/stable/generated/torch.nn.ModuleDict.html) - [ModuleList](https://docs.pytorch.org/docs/stable/generated/torch.nn.ModuleList.html) - [MultiLabelMarginLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.MultiLabelMarginLoss.html) - [MultiLabelSoftMarginLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.MultiLabelSoftMarginLoss.html) - [MultiMarginLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.MultiMarginLoss.html) - [MultiheadAttention](https://docs.pytorch.org/docs/stable/generated/torch.nn.MultiheadAttention.html) - [NLLLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.NLLLoss.html) - [PReLU](https://docs.pytorch.org/docs/stable/generated/torch.nn.PReLU.html) - [PairwiseDistance](https://docs.pytorch.org/docs/stable/generated/torch.nn.PairwiseDistance.html) - [ParameterDict](https://docs.pytorch.org/docs/stable/generated/torch.nn.ParameterDict.html) - [ParameterList](https://docs.pytorch.org/docs/stable/generated/torch.nn.ParameterList.html) - [PixelShuffle](https://docs.pytorch.org/docs/stable/generated/torch.nn.PixelShuffle.html) - [PixelUnshuffle](https://docs.pytorch.org/docs/stable/generated/torch.nn.PixelUnshuffle.html) - [PoissonNLLLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.PoissonNLLLoss.html) - [RMSNorm](https://docs.pytorch.org/docs/stable/generated/torch.nn.RMSNorm.html) - [RNN](https://docs.pytorch.org/docs/stable/generated/torch.nn.RNN.html) - [RNNBase](https://docs.pytorch.org/docs/stable/generated/torch.nn.RNNBase.html) - [RNNCell](https://docs.pytorch.org/docs/stable/generated/torch.nn.RNNCell.html) - [RReLU](https://docs.pytorch.org/docs/stable/generated/torch.nn.RReLU.html) - [ReLU](https://docs.pytorch.org/docs/stable/generated/torch.nn.ReLU.html) - [ReLU6](https://docs.pytorch.org/docs/stable/generated/torch.nn.ReLU6.html) - [ReflectionPad1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ReflectionPad1d.html) - [ReflectionPad2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ReflectionPad2d.html) - [ReflectionPad3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ReflectionPad3d.html) - [ReplicationPad1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ReplicationPad1d.html) - [ReplicationPad2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ReplicationPad2d.html) - [ReplicationPad3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ReplicationPad3d.html) - [SELU](https://docs.pytorch.org/docs/stable/generated/torch.nn.SELU.html) - [Sequential](https://docs.pytorch.org/docs/stable/generated/torch.nn.Sequential.html) - [SiLU](https://docs.pytorch.org/docs/stable/generated/torch.nn.SiLU.html) - [Sigmoid](https://docs.pytorch.org/docs/stable/generated/torch.nn.Sigmoid.html) - [SmoothL1Loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.SmoothL1Loss.html) - [SoftMarginLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.SoftMarginLoss.html) - [Softmax](https://docs.pytorch.org/docs/stable/generated/torch.nn.Softmax.html) - [Softmax2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.Softmax2d.html) - [Softmin](https://docs.pytorch.org/docs/stable/generated/torch.nn.Softmin.html) - [Softplus](https://docs.pytorch.org/docs/stable/generated/torch.nn.Softplus.html) - [Softshrink](https://docs.pytorch.org/docs/stable/generated/torch.nn.Softshrink.html) - [Softsign](https://docs.pytorch.org/docs/stable/generated/torch.nn.Softsign.html) - [SyncBatchNorm](https://docs.pytorch.org/docs/stable/generated/torch.nn.SyncBatchNorm.html) - [Tanh](https://docs.pytorch.org/docs/stable/generated/torch.nn.Tanh.html) - [Tanhshrink](https://docs.pytorch.org/docs/stable/generated/torch.nn.Tanhshrink.html) - [Threshold](https://docs.pytorch.org/docs/stable/generated/torch.nn.Threshold.html) - [Transformer](https://docs.pytorch.org/docs/stable/generated/torch.nn.Transformer.html) - [TransformerDecoder](https://docs.pytorch.org/docs/stable/generated/torch.nn.TransformerDecoder.html) - [TransformerDecoderLayer](https://docs.pytorch.org/docs/stable/generated/torch.nn.TransformerDecoderLayer.html) - [TransformerEncoder](https://docs.pytorch.org/docs/stable/generated/torch.nn.TransformerEncoder.html) - [TransformerEncoderLayer](https://docs.pytorch.org/docs/stable/generated/torch.nn.TransformerEncoderLayer.html) - [TripletMarginLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.TripletMarginLoss.html) - [TripletMarginWithDistanceLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.TripletMarginWithDistanceLoss.html) - [Unfold](https://docs.pytorch.org/docs/stable/generated/torch.nn.Unfold.html) - [Upsample](https://docs.pytorch.org/docs/stable/generated/torch.nn.Upsample.html) - [UpsamplingBilinear2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.UpsamplingBilinear2d.html) - [UpsamplingNearest2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.UpsamplingNearest2d.html) - [ZeroPad1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ZeroPad1d.html) - [ZeroPad2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ZeroPad2d.html) - [ZeroPad3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.ZeroPad3d.html) - [SDPBackend](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.SDPBackend.html) - [torch.nn.attention.activate_flash_attention_impl](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.activate_flash_attention_impl.html) - [torch.nn.attention.bias.CausalBias](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.bias.CausalBias.html) - [CausalVariant](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.bias.CausalVariant.html) - [torch.nn.attention.bias.causal_lower_right](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.bias.causal_lower_right.html) - [torch.nn.attention.bias.causal_upper_left](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.bias.causal_upper_left.html) - [torch.nn.attention.current_flash_attention_impl](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.current_flash_attention_impl.html) - [torch.nn.attention.list_flash_attention_impls](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.list_flash_attention_impls.html) - [torch.nn.attention.register_flash_attention_impl](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.register_flash_attention_impl.html) - [torch.nn.attention.restore_flash_attention_impl](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.restore_flash_attention_impl.html) - [torch.nn.attention.sdpa_kernel](https://docs.pytorch.org/docs/stable/generated/torch.nn.attention.sdpa_kernel.html) - [torch.nn.factory_kwargs](https://docs.pytorch.org/docs/stable/generated/torch.nn.factory_kwargs.html) - [ScalingType](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.ScalingType.html) - [SwizzleType](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.SwizzleType.html) - [torch.nn.functional.adaptive_avg_pool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.adaptive_avg_pool1d.html) - [torch.nn.functional.adaptive_avg_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.adaptive_avg_pool2d.html) - [torch.nn.functional.adaptive_avg_pool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.adaptive_avg_pool3d.html) - [torch.nn.functional.adaptive_max_pool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.adaptive_max_pool1d.html) - [torch.nn.functional.adaptive_max_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.adaptive_max_pool2d.html) - [torch.nn.functional.adaptive_max_pool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.adaptive_max_pool3d.html) - [torch.nn.functional.affine_grid](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.affine_grid.html) - [torch.nn.functional.alpha_dropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.alpha_dropout.html) - [torch.nn.functional.avg_pool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.avg_pool1d.html) - [torch.nn.functional.avg_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.avg_pool2d.html) - [torch.nn.functional.avg_pool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.avg_pool3d.html) - [torch.nn.functional.batch_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.batch_norm.html) - [torch.nn.functional.bilinear](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.bilinear.html) - [torch.nn.functional.binary_cross_entropy](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.binary_cross_entropy.html) - [torch.nn.functional.binary_cross_entropy_with_logits](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.binary_cross_entropy_with_logits.html) - [torch.nn.functional.celu](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.celu.html) - [torch.nn.functional.conv1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.conv1d.html) - [torch.nn.functional.conv2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.conv2d.html) - [torch.nn.functional.conv3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.conv3d.html) - [torch.nn.functional.conv_transpose1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.conv_transpose1d.html) - [torch.nn.functional.conv_transpose2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.conv_transpose2d.html) - [torch.nn.functional.conv_transpose3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.conv_transpose3d.html) - [torch.nn.functional.cosine_embedding_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.cosine_embedding_loss.html) - [torch.nn.functional.cosine_similarity](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.cosine_similarity.html) - [torch.nn.functional.cross_entropy](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.cross_entropy.html) - [torch.nn.functional.ctc_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.ctc_loss.html) - [torch.nn.functional.dropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.dropout.html) - [torch.nn.functional.dropout1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.dropout1d.html) - [torch.nn.functional.dropout2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.dropout2d.html) - [torch.nn.functional.dropout3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.dropout3d.html) - [torch.nn.functional.elu](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.elu.html) - [torch.nn.functional.elu_](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.elu_.html) - [torch.nn.functional.embedding](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.embedding.html) - [torch.nn.functional.embedding_bag](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.embedding_bag.html) - [torch.nn.functional.feature_alpha_dropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.feature_alpha_dropout.html) - [torch.nn.functional.fold](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.fold.html) - [torch.nn.functional.fractional_max_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.fractional_max_pool2d.html) - [torch.nn.functional.fractional_max_pool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.fractional_max_pool3d.html) - [torch.nn.functional.gaussian_nll_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.gaussian_nll_loss.html) - [torch.nn.functional.gelu](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.gelu.html) - [torch.nn.functional.glu](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.glu.html) - [torch.nn.functional.grid_sample](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.grid_sample.html) - [torch.nn.functional.group_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.group_norm.html) - [torch.nn.functional.grouped_mm](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.grouped_mm.html) - [torch.nn.functional.gumbel_softmax](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.gumbel_softmax.html) - [torch.nn.functional.hardshrink](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.hardshrink.html) - [torch.nn.functional.hardsigmoid](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.hardsigmoid.html) - [torch.nn.functional.hardswish](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.hardswish.html) - [torch.nn.functional.hardtanh](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.hardtanh.html) - [torch.nn.functional.hardtanh_](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.hardtanh_.html) - [torch.nn.functional.hinge_embedding_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.hinge_embedding_loss.html) - [torch.nn.functional.huber_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.huber_loss.html) - [torch.nn.functional.instance_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.instance_norm.html) - [torch.nn.functional.interpolate](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html) - [torch.nn.functional.kl_div](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.kl_div.html) - [torch.nn.functional.l1_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.l1_loss.html) - [torch.nn.functional.layer_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.layer_norm.html) - [torch.nn.functional.leaky_relu](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.leaky_relu.html) - [torch.nn.functional.leaky_relu_](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.leaky_relu_.html) - [torch.nn.functional.linear](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.linear.html) - [torch.nn.functional.local_response_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.local_response_norm.html) - [torch.nn.functional.log_softmax](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.log_softmax.html) - [torch.nn.functional.logsigmoid](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.logsigmoid.html) - [torch.nn.functional.lp_pool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.lp_pool1d.html) - [torch.nn.functional.lp_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.lp_pool2d.html) - [torch.nn.functional.lp_pool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.lp_pool3d.html) - [torch.nn.functional.margin_ranking_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.margin_ranking_loss.html) - [torch.nn.functional.max_pool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.max_pool1d.html) - [torch.nn.functional.max_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.max_pool2d.html) - [torch.nn.functional.max_pool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.max_pool3d.html) - [torch.nn.functional.max_unpool1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.max_unpool1d.html) - [torch.nn.functional.max_unpool2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.max_unpool2d.html) - [torch.nn.functional.max_unpool3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.max_unpool3d.html) - [torch.nn.functional.mish](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.mish.html) - [torch.nn.functional.mse_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.mse_loss.html) - [torch.nn.functional.multi_margin_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.multi_margin_loss.html) - [torch.nn.functional.multilabel_margin_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.multilabel_margin_loss.html) - 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[torch.nn.functional.softplus](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.softplus.html) - [torch.nn.functional.softshrink](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.softshrink.html) - [torch.nn.functional.softsign](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.softsign.html) - [torch.nn.functional.tanh](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.tanh.html) - [torch.nn.functional.tanhshrink](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.tanhshrink.html) - [torch.nn.functional.threshold](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.threshold.html) - [torch.nn.functional.threshold_](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.threshold_.html) - [torch.nn.functional.torch.nn.parallel.data_parallel](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.torch.nn.parallel.data_parallel.html) - [torch.nn.functional.triplet_margin_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.triplet_margin_loss.html) - [torch.nn.functional.triplet_margin_with_distance_loss](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.triplet_margin_with_distance_loss.html) - [torch.nn.functional.unfold](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.unfold.html) - [torch.nn.functional.upsample](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.upsample.html) - [torch.nn.functional.upsample_bilinear](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.upsample_bilinear.html) - [torch.nn.functional.upsample_nearest](https://docs.pytorch.org/docs/stable/generated/torch.nn.functional.upsample_nearest.html) - [CELU](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.activation.CELU.html) - [ELU](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.activation.ELU.html) - [GELU](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.activation.GELU.html) - [GLU](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.activation.GLU.html) - 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[CosineSimilarity](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.distance.CosineSimilarity.html) - [PairwiseDistance](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.distance.PairwiseDistance.html) - [AlphaDropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.dropout.AlphaDropout.html) - [Dropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.dropout.Dropout.html) - [Dropout1d](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.dropout.Dropout1d.html) - [Dropout2d](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.dropout.Dropout2d.html) - [Dropout3d](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.dropout.Dropout3d.html) - [FeatureAlphaDropout](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.dropout.FeatureAlphaDropout.html) - [Flatten](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.flatten.Flatten.html) - [Unflatten](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.flatten.Unflatten.html) - 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[Bilinear](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.linear.Bilinear.html) - [Identity](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.linear.Identity.html) - [LazyLinear](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.linear.LazyLinear.html) - [Linear](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.linear.Linear.html) - [BCELoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.loss.BCELoss.html) - [BCEWithLogitsLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.loss.BCEWithLogitsLoss.html) - [CTCLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.loss.CTCLoss.html) - [CosineEmbeddingLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.loss.CosineEmbeddingLoss.html) - [CrossEntropyLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.loss.CrossEntropyLoss.html) - [GaussianNLLLoss](https://docs.pytorch.org/docs/stable/generated/torch.nn.modules.loss.GaussianNLLLoss.html) - 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[torch.nn.utils.remove_spectral_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.remove_spectral_norm.html) - [torch.nn.utils.remove_weight_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.remove_weight_norm.html) - [PackedSequence](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.rnn.PackedSequence.html) - [torch.nn.utils.rnn.invert_permutation](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.rnn.invert_permutation.html) - [torch.nn.utils.rnn.pack_padded_sequence](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.rnn.pack_padded_sequence.html) - [torch.nn.utils.rnn.pack_sequence](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.rnn.pack_sequence.html) - [torch.nn.utils.rnn.pad_packed_sequence](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.rnn.pad_packed_sequence.html) - [torch.nn.utils.rnn.pad_sequence](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.rnn.pad_sequence.html) - 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[torch.nn.utils.weight_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.weight_norm.html) - [torch.nn.utils.weight_norm.remove_weight_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.weight_norm.remove_weight_norm.html) - [torch.nn.utils.weight_norm.weight_norm](https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.weight_norm.weight_norm.html) - [no_grad](https://docs.pytorch.org/docs/stable/generated/torch.no_grad.html) - [torch.nonzero](https://docs.pytorch.org/docs/stable/generated/torch.nonzero.html) - [torch.norm](https://docs.pytorch.org/docs/stable/generated/torch.norm.html) - [torch.normal](https://docs.pytorch.org/docs/stable/generated/torch.normal.html) - [torch.not_equal](https://docs.pytorch.org/docs/stable/generated/torch.not_equal.html) - [torch.numel](https://docs.pytorch.org/docs/stable/generated/torch.numel.html) - [torch.ones](https://docs.pytorch.org/docs/stable/generated/torch.ones.html) - [torch.ones_like](https://docs.pytorch.org/docs/stable/generated/torch.ones_like.html) - [ASGD](https://docs.pytorch.org/docs/stable/generated/torch.optim.ASGD.html) - [Adadelta](https://docs.pytorch.org/docs/stable/generated/torch.optim.Adadelta.html) - [Adafactor](https://docs.pytorch.org/docs/stable/generated/torch.optim.Adafactor.html) - [Adagrad](https://docs.pytorch.org/docs/stable/generated/torch.optim.Adagrad.html) - [Adam](https://docs.pytorch.org/docs/stable/generated/torch.optim.Adam.html) - [AdamW](https://docs.pytorch.org/docs/stable/generated/torch.optim.AdamW.html) - [Adamax](https://docs.pytorch.org/docs/stable/generated/torch.optim.Adamax.html) - [LBFGS](https://docs.pytorch.org/docs/stable/generated/torch.optim.LBFGS.html) - [Muon](https://docs.pytorch.org/docs/stable/generated/torch.optim.Muon.html) - [NAdam](https://docs.pytorch.org/docs/stable/generated/torch.optim.NAdam.html) - [torch.optim.Optimizer.add_param_group](https://docs.pytorch.org/docs/stable/generated/torch.optim.Optimizer.add_param_group.html) - [torch.optim.Optimizer.load_state_dict](https://docs.pytorch.org/docs/stable/generated/torch.optim.Optimizer.load_state_dict.html) - 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[torch.optim.Optimizer.step](https://docs.pytorch.org/docs/stable/generated/torch.optim.Optimizer.step.html) - [torch.optim.Optimizer.zero_grad](https://docs.pytorch.org/docs/stable/generated/torch.optim.Optimizer.zero_grad.html) - [RAdam](https://docs.pytorch.org/docs/stable/generated/torch.optim.RAdam.html) - [RMSprop](https://docs.pytorch.org/docs/stable/generated/torch.optim.RMSprop.html) - [Rprop](https://docs.pytorch.org/docs/stable/generated/torch.optim.Rprop.html) - [SGD](https://docs.pytorch.org/docs/stable/generated/torch.optim.SGD.html) - [SparseAdam](https://docs.pytorch.org/docs/stable/generated/torch.optim.SparseAdam.html) - [Adadelta](https://docs.pytorch.org/docs/stable/generated/torch.optim.adadelta.Adadelta_class.html) - [torch.optim.adadelta.adadelta](https://docs.pytorch.org/docs/stable/generated/torch.optim.adadelta.adadelta_function.html) - [Adagrad](https://docs.pytorch.org/docs/stable/generated/torch.optim.adagrad.Adagrad_class.html) - [torch.optim.adagrad.adagrad](https://docs.pytorch.org/docs/stable/generated/torch.optim.adagrad.adagrad_function.html) - [Adam](https://docs.pytorch.org/docs/stable/generated/torch.optim.adam.Adam_class.html) - [torch.optim.adam.adam](https://docs.pytorch.org/docs/stable/generated/torch.optim.adam.adam_function.html) - [Adamax](https://docs.pytorch.org/docs/stable/generated/torch.optim.adamax.Adamax_class.html) - [torch.optim.adamax.adamax](https://docs.pytorch.org/docs/stable/generated/torch.optim.adamax.adamax_function.html) - [AdamW](https://docs.pytorch.org/docs/stable/generated/torch.optim.adamw.AdamW_class.html) - [torch.optim.adamw.adamw](https://docs.pytorch.org/docs/stable/generated/torch.optim.adamw.adamw_function.html) - [ASGD](https://docs.pytorch.org/docs/stable/generated/torch.optim.asgd.ASGD_class.html) - [torch.optim.asgd.asgd](https://docs.pytorch.org/docs/stable/generated/torch.optim.asgd.asgd_function.html) - [LBFGS](https://docs.pytorch.org/docs/stable/generated/torch.optim.lbfgs.LBFGS.html) - [ChainedScheduler](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.ChainedScheduler.html) - [ConstantLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.ConstantLR.html) - [CosineAnnealingLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.CosineAnnealingLR.html) - [CosineAnnealingWarmRestarts](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.CosineAnnealingWarmRestarts.html) - [CyclicLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.CyclicLR.html) - [ExponentialLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.ExponentialLR.html) - [LRScheduler](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.LRScheduler.html) - [LambdaLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.LambdaLR.html) - [LinearLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.LinearLR.html) - [MultiStepLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.MultiStepLR.html) - [MultiplicativeLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.MultiplicativeLR.html) - [OneCycleLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.OneCycleLR.html) - [PolynomialLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.PolynomialLR.html) - [ReduceLROnPlateau](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.ReduceLROnPlateau.html) - [SequentialLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.SequentialLR.html) - [StepLR](https://docs.pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.StepLR.html) - [NAdam](https://docs.pytorch.org/docs/stable/generated/torch.optim.nadam.NAdam_class.html) - [torch.optim.nadam.nadam](https://docs.pytorch.org/docs/stable/generated/torch.optim.nadam.nadam_function.html) - [RAdam](https://docs.pytorch.org/docs/stable/generated/torch.optim.radam.RAdam_class.html) - [torch.optim.radam.radam](https://docs.pytorch.org/docs/stable/generated/torch.optim.radam.radam_function.html) - [RMSprop](https://docs.pytorch.org/docs/stable/generated/torch.optim.rmsprop.RMSprop_class.html) - [torch.optim.rmsprop.rmsprop](https://docs.pytorch.org/docs/stable/generated/torch.optim.rmsprop.rmsprop_function.html) - [Rprop](https://docs.pytorch.org/docs/stable/generated/torch.optim.rprop.Rprop_class.html) - [torch.optim.rprop.rprop](https://docs.pytorch.org/docs/stable/generated/torch.optim.rprop.rprop_function.html) - [SGD](https://docs.pytorch.org/docs/stable/generated/torch.optim.sgd.SGD_class.html) - [torch.optim.sgd.sgd](https://docs.pytorch.org/docs/stable/generated/torch.optim.sgd.sgd_function.html) - [SparseAdam](https://docs.pytorch.org/docs/stable/generated/torch.optim.sparse_adam.SparseAdam.html) - [AveragedModel](https://docs.pytorch.org/docs/stable/generated/torch.optim.swa_utils.AveragedModel.html) - [SWALR](https://docs.pytorch.org/docs/stable/generated/torch.optim.swa_utils.SWALR.html) - [torch.orgqr](https://docs.pytorch.org/docs/stable/generated/torch.orgqr.html) - [torch.ormqr](https://docs.pytorch.org/docs/stable/generated/torch.ormqr.html) - [torch.outer](https://docs.pytorch.org/docs/stable/generated/torch.outer.html) - [torch.pca_lowrank](https://docs.pytorch.org/docs/stable/generated/torch.pca_lowrank.html) - [torch.permute](https://docs.pytorch.org/docs/stable/generated/torch.permute.html) - [torch.pinverse](https://docs.pytorch.org/docs/stable/generated/torch.pinverse.html) - [torch.poisson](https://docs.pytorch.org/docs/stable/generated/torch.poisson.html) - [torch.polar](https://docs.pytorch.org/docs/stable/generated/torch.polar.html) - [torch.polygamma](https://docs.pytorch.org/docs/stable/generated/torch.polygamma.html) - [torch.positive](https://docs.pytorch.org/docs/stable/generated/torch.positive.html) - [torch.pow](https://docs.pytorch.org/docs/stable/generated/torch.pow.html) - [torch.prod](https://docs.pytorch.org/docs/stable/generated/torch.prod.html) - [torch.promote_types](https://docs.pytorch.org/docs/stable/generated/torch.promote_types.html) - [torch.qr](https://docs.pytorch.org/docs/stable/generated/torch.qr.html) - [torch.quantile](https://docs.pytorch.org/docs/stable/generated/torch.quantile.html) - [quantize_per_channel](https://docs.pytorch.org/docs/stable/generated/torch.quantize_per_channel.html) - [quantize_per_tensor](https://docs.pytorch.org/docs/stable/generated/torch.quantize_per_tensor.html) - [torch.quantized_batch_norm](https://docs.pytorch.org/docs/stable/generated/torch.quantized_batch_norm.html) - [torch.quantized_max_pool1d](https://docs.pytorch.org/docs/stable/generated/torch.quantized_max_pool1d.html) - [torch.quantized_max_pool2d](https://docs.pytorch.org/docs/stable/generated/torch.quantized_max_pool2d.html) - [SobolEngine](https://docs.pytorch.org/docs/stable/generated/torch.quasirandom.SobolEngine.html) - [torch.rad2deg](https://docs.pytorch.org/docs/stable/generated/torch.rad2deg.html) - [torch.rand](https://docs.pytorch.org/docs/stable/generated/torch.rand.html) - [torch.rand_like](https://docs.pytorch.org/docs/stable/generated/torch.rand_like.html) - [torch.randint](https://docs.pytorch.org/docs/stable/generated/torch.randint.html) - [torch.randint_like](https://docs.pytorch.org/docs/stable/generated/torch.randint_like.html) - [torch.randn](https://docs.pytorch.org/docs/stable/generated/torch.randn.html) - [torch.randn_like](https://docs.pytorch.org/docs/stable/generated/torch.randn_like.html) - [torch.randperm](https://docs.pytorch.org/docs/stable/generated/torch.randperm.html) - [torch.range](https://docs.pytorch.org/docs/stable/generated/torch.range.html) - [torch.ravel](https://docs.pytorch.org/docs/stable/generated/torch.ravel.html) - [torch.real](https://docs.pytorch.org/docs/stable/generated/torch.real.html) - [torch.reciprocal](https://docs.pytorch.org/docs/stable/generated/torch.reciprocal.html) - [torch.remainder](https://docs.pytorch.org/docs/stable/generated/torch.remainder.html) - [torch.renorm](https://docs.pytorch.org/docs/stable/generated/torch.renorm.html) - [torch.repeat_interleave](https://docs.pytorch.org/docs/stable/generated/torch.repeat_interleave.html) - [torch.reshape](https://docs.pytorch.org/docs/stable/generated/torch.reshape.html) - [torch.resolve_conj](https://docs.pytorch.org/docs/stable/generated/torch.resolve_conj.html) - [torch.resolve_neg](https://docs.pytorch.org/docs/stable/generated/torch.resolve_neg.html) - [torch.result_type](https://docs.pytorch.org/docs/stable/generated/torch.result_type.html) - [torch.roll](https://docs.pytorch.org/docs/stable/generated/torch.roll.html) - [torch.rot90](https://docs.pytorch.org/docs/stable/generated/torch.rot90.html) - [torch.round](https://docs.pytorch.org/docs/stable/generated/torch.round.html) - [torch.row_stack](https://docs.pytorch.org/docs/stable/generated/torch.row_stack.html) - [torch.rsqrt](https://docs.pytorch.org/docs/stable/generated/torch.rsqrt.html) - [torch.save](https://docs.pytorch.org/docs/stable/generated/torch.save.html) - [torch.scatter](https://docs.pytorch.org/docs/stable/generated/torch.scatter.html) - [torch.scatter_add](https://docs.pytorch.org/docs/stable/generated/torch.scatter_add.html) - [torch.scatter_reduce](https://docs.pytorch.org/docs/stable/generated/torch.scatter_reduce.html) - [torch.searchsorted](https://docs.pytorch.org/docs/stable/generated/torch.searchsorted.html) - [torch.seed](https://docs.pytorch.org/docs/stable/generated/torch.seed.html) - [torch.segment_reduce](https://docs.pytorch.org/docs/stable/generated/torch.segment_reduce.html) - [torch.select](https://docs.pytorch.org/docs/stable/generated/torch.select.html) - [torch.select_scatter](https://docs.pytorch.org/docs/stable/generated/torch.select_scatter.html) - [torch.set_default_device](https://docs.pytorch.org/docs/stable/generated/torch.set_default_device.html) - [torch.set_default_dtype](https://docs.pytorch.org/docs/stable/generated/torch.set_default_dtype.html) - [torch.set_default_tensor_type](https://docs.pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html) - [torch.set_deterministic_debug_mode](https://docs.pytorch.org/docs/stable/generated/torch.set_deterministic_debug_mode.html) - [torch.set_float32_matmul_precision](https://docs.pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html) - [torch.set_flush_denormal](https://docs.pytorch.org/docs/stable/generated/torch.set_flush_denormal.html) - [torch.set_num_interop_threads](https://docs.pytorch.org/docs/stable/generated/torch.set_num_interop_threads.html) - [torch.set_num_threads](https://docs.pytorch.org/docs/stable/generated/torch.set_num_threads.html) - [torch.set_printoptions](https://docs.pytorch.org/docs/stable/generated/torch.set_printoptions.html) - [torch.set_rng_state](https://docs.pytorch.org/docs/stable/generated/torch.set_rng_state.html) - [torch.set_warn_always](https://docs.pytorch.org/docs/stable/generated/torch.set_warn_always.html) - [torch.sgn](https://docs.pytorch.org/docs/stable/generated/torch.sgn.html) - [torch.sigmoid](https://docs.pytorch.org/docs/stable/generated/torch.sigmoid.html) - [torch.sign](https://docs.pytorch.org/docs/stable/generated/torch.sign.html) - [torch.signal.windows.bartlett](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.bartlett.html) - [torch.signal.windows.blackman](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.blackman.html) - [torch.signal.windows.cosine](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.cosine.html) - [torch.signal.windows.exponential](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.exponential.html) - [torch.signal.windows.gaussian](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.gaussian.html) - [torch.signal.windows.general_cosine](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.general_cosine.html) - [torch.signal.windows.general_hamming](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.general_hamming.html) - [torch.signal.windows.hamming](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.hamming.html) - [torch.signal.windows.hann](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.hann.html) - [torch.signal.windows.kaiser](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.kaiser.html) - [torch.signal.windows.nuttall](https://docs.pytorch.org/docs/stable/generated/torch.signal.windows.nuttall.html) - [torch.signbit](https://docs.pytorch.org/docs/stable/generated/torch.signbit.html) - [torch.sin](https://docs.pytorch.org/docs/stable/generated/torch.sin.html) - [torch.sinc](https://docs.pytorch.org/docs/stable/generated/torch.sinc.html) - [torch.sinh](https://docs.pytorch.org/docs/stable/generated/torch.sinh.html) - [torch.slice_scatter](https://docs.pytorch.org/docs/stable/generated/torch.slice_scatter.html) - [torch.slogdet](https://docs.pytorch.org/docs/stable/generated/torch.slogdet.html) - [torch.smm](https://docs.pytorch.org/docs/stable/generated/torch.smm.html) - [torch.softmax](https://docs.pytorch.org/docs/stable/generated/torch.softmax.html) - [torch.sort](https://docs.pytorch.org/docs/stable/generated/torch.sort.html) - [torch.sparse.addmm](https://docs.pytorch.org/docs/stable/generated/torch.sparse.addmm.html) - [torch.sparse.as_sparse_gradcheck](https://docs.pytorch.org/docs/stable/generated/torch.sparse.as_sparse_gradcheck.html) - [check_sparse_tensor_invariants](https://docs.pytorch.org/docs/stable/generated/torch.sparse.check_sparse_tensor_invariants.html) - [torch.sparse.log_softmax](https://docs.pytorch.org/docs/stable/generated/torch.sparse.log_softmax.html) - [torch.sparse.mm](https://docs.pytorch.org/docs/stable/generated/torch.sparse.mm.html) - [torch.sparse.sampled_addmm](https://docs.pytorch.org/docs/stable/generated/torch.sparse.sampled_addmm.html) - [torch.sparse.softmax](https://docs.pytorch.org/docs/stable/generated/torch.sparse.softmax.html) - [torch.sparse.spdiags](https://docs.pytorch.org/docs/stable/generated/torch.sparse.spdiags.html) - [torch.sparse.spsolve](https://docs.pytorch.org/docs/stable/generated/torch.sparse.spsolve.html) - [torch.sparse.sum](https://docs.pytorch.org/docs/stable/generated/torch.sparse.sum.html) - [torch.sparse_bsc_tensor](https://docs.pytorch.org/docs/stable/generated/torch.sparse_bsc_tensor.html) - [torch.sparse_bsr_tensor](https://docs.pytorch.org/docs/stable/generated/torch.sparse_bsr_tensor.html) - [torch.sparse_compressed_tensor](https://docs.pytorch.org/docs/stable/generated/torch.sparse_compressed_tensor.html) - [torch.sparse_coo_tensor](https://docs.pytorch.org/docs/stable/generated/torch.sparse_coo_tensor.html) - [torch.sparse_csc_tensor](https://docs.pytorch.org/docs/stable/generated/torch.sparse_csc_tensor.html) - [torch.sparse_csr_tensor](https://docs.pytorch.org/docs/stable/generated/torch.sparse_csr_tensor.html) - [torch.split](https://docs.pytorch.org/docs/stable/generated/torch.split.html) - [torch.sqrt](https://docs.pytorch.org/docs/stable/generated/torch.sqrt.html) - [torch.square](https://docs.pytorch.org/docs/stable/generated/torch.square.html) - [torch.squeeze](https://docs.pytorch.org/docs/stable/generated/torch.squeeze.html) - [torch.sspaddmm](https://docs.pytorch.org/docs/stable/generated/torch.sspaddmm.html) - [torch.stack](https://docs.pytorch.org/docs/stable/generated/torch.stack.html) - [torch.std](https://docs.pytorch.org/docs/stable/generated/torch.std.html) - [torch.std_mean](https://docs.pytorch.org/docs/stable/generated/torch.std_mean.html) - [torch.stft](https://docs.pytorch.org/docs/stable/generated/torch.stft.html) - [torch.sub](https://docs.pytorch.org/docs/stable/generated/torch.sub.html) - [torch.subtract](https://docs.pytorch.org/docs/stable/generated/torch.subtract.html) - [torch.sum](https://docs.pytorch.org/docs/stable/generated/torch.sum.html) - [torch.svd](https://docs.pytorch.org/docs/stable/generated/torch.svd.html) - [torch.svd_lowrank](https://docs.pytorch.org/docs/stable/generated/torch.svd_lowrank.html) - [torch.swapaxes](https://docs.pytorch.org/docs/stable/generated/torch.swapaxes.html) - [torch.swapdims](https://docs.pytorch.org/docs/stable/generated/torch.swapdims.html) - [torch.sym_float](https://docs.pytorch.org/docs/stable/generated/torch.sym_float.html) - [torch.sym_fresh_size](https://docs.pytorch.org/docs/stable/generated/torch.sym_fresh_size.html) - [torch.sym_int](https://docs.pytorch.org/docs/stable/generated/torch.sym_int.html) - [torch.sym_ite](https://docs.pytorch.org/docs/stable/generated/torch.sym_ite.html) - [torch.sym_max](https://docs.pytorch.org/docs/stable/generated/torch.sym_max.html) - [torch.sym_min](https://docs.pytorch.org/docs/stable/generated/torch.sym_min.html) - [torch.sym_not](https://docs.pytorch.org/docs/stable/generated/torch.sym_not.html) - [torch.sym_sum](https://docs.pytorch.org/docs/stable/generated/torch.sym_sum.html) - [torch.t](https://docs.pytorch.org/docs/stable/generated/torch.t.html) - [torch.take](https://docs.pytorch.org/docs/stable/generated/torch.take.html) - [torch.take_along_dim](https://docs.pytorch.org/docs/stable/generated/torch.take_along_dim.html) - [torch.tan](https://docs.pytorch.org/docs/stable/generated/torch.tan.html) - [torch.tanh](https://docs.pytorch.org/docs/stable/generated/torch.tanh.html) - [torch.tensor](https://docs.pytorch.org/docs/stable/generated/torch.tensor.html) - [torch.tensor_split](https://docs.pytorch.org/docs/stable/generated/torch.tensor_split.html) - [torch.tensordot](https://docs.pytorch.org/docs/stable/generated/torch.tensordot.html) - [torch.tile](https://docs.pytorch.org/docs/stable/generated/torch.tile.html) - [torch.topk](https://docs.pytorch.org/docs/stable/generated/torch.topk.html) - [torch.trace](https://docs.pytorch.org/docs/stable/generated/torch.trace.html) - [torch.transpose](https://docs.pytorch.org/docs/stable/generated/torch.transpose.html) - [torch.trapezoid](https://docs.pytorch.org/docs/stable/generated/torch.trapezoid.html) - [torch.trapz](https://docs.pytorch.org/docs/stable/generated/torch.trapz.html) - [torch.triangular_solve](https://docs.pytorch.org/docs/stable/generated/torch.triangular_solve.html) - [torch.tril](https://docs.pytorch.org/docs/stable/generated/torch.tril.html) - [torch.tril_indices](https://docs.pytorch.org/docs/stable/generated/torch.tril_indices.html) - [torch.triu](https://docs.pytorch.org/docs/stable/generated/torch.triu.html) - [torch.triu_indices](https://docs.pytorch.org/docs/stable/generated/torch.triu_indices.html) - [torch.true_divide](https://docs.pytorch.org/docs/stable/generated/torch.true_divide.html) - [torch.trunc](https://docs.pytorch.org/docs/stable/generated/torch.trunc.html) - [torch.unbind](https://docs.pytorch.org/docs/stable/generated/torch.unbind.html) - [torch.unflatten](https://docs.pytorch.org/docs/stable/generated/torch.unflatten.html) - [torch.unique](https://docs.pytorch.org/docs/stable/generated/torch.unique.html) - [torch.unique_consecutive](https://docs.pytorch.org/docs/stable/generated/torch.unique_consecutive.html) - [torch.unravel_index](https://docs.pytorch.org/docs/stable/generated/torch.unravel_index.html) - [torch.unsqueeze](https://docs.pytorch.org/docs/stable/generated/torch.unsqueeze.html) - [torch.use_deterministic_algorithms](https://docs.pytorch.org/docs/stable/generated/torch.use_deterministic_algorithms.html) - [torch.utils.collect_env.check_release_file](https://docs.pytorch.org/docs/stable/generated/torch.utils.collect_env.check_release_file.html) - [torch.utils.collect_env.is_xnnpack_available](https://docs.pytorch.org/docs/stable/generated/torch.utils.collect_env.is_xnnpack_available.html) - [torch.utils.collect_env.pretty_str](https://docs.pytorch.org/docs/stable/generated/torch.utils.collect_env.pretty_str.html) - [torch.utils.flop_counter.baddbmm_flop](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.baddbmm_flop.html) - [torch.utils.flop_counter.bmm_flop](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.bmm_flop.html) - [torch.utils.flop_counter.conv_backward_flop](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.conv_backward_flop.html) - [torch.utils.flop_counter.conv_flop](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.conv_flop.html) - [torch.utils.flop_counter.conv_flop_count](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.conv_flop_count.html) - [torch.utils.flop_counter.register_flop_formula](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.register_flop_formula.html) - [torch.utils.flop_counter.sdpa_backward_flop](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.sdpa_backward_flop.html) - [torch.utils.flop_counter.sdpa_backward_flop_count](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.sdpa_backward_flop_count.html) - [torch.utils.flop_counter.sdpa_flop](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.sdpa_flop.html) - [torch.utils.flop_counter.sdpa_flop_count](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.sdpa_flop_count.html) - [torch.utils.flop_counter.shape_wrapper](https://docs.pytorch.org/docs/stable/generated/torch.utils.flop_counter.shape_wrapper.html) - [torch.utils.generate_methods_for_privateuse1_backend](https://docs.pytorch.org/docs/stable/generated/torch.utils.generate_methods_for_privateuse1_backend.html) - [torch.utils.get_cpp_backtrace](https://docs.pytorch.org/docs/stable/generated/torch.utils.get_cpp_backtrace.html) - [torch.utils.hipify.hipify_python.compute_stats](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.compute_stats.html) - [torch.utils.hipify.hipify_python.extract_arguments](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.extract_arguments.html) - [torch.utils.hipify.hipify_python.file_add_header](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.file_add_header.html) - [torch.utils.hipify.hipify_python.file_specific_replacement](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.file_specific_replacement.html) - [torch.utils.hipify.hipify_python.find_bracket_group](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.find_bracket_group.html) - [torch.utils.hipify.hipify_python.find_closure_group](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.find_closure_group.html) - [torch.utils.hipify.hipify_python.find_parentheses_group](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.find_parentheses_group.html) - [torch.utils.hipify.hipify_python.fix_static_global_kernels](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.fix_static_global_kernels.html) - [torch.utils.hipify.hipify_python.hip_header_magic](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.hip_header_magic.html) - [torch.utils.hipify.hipify_python.hipify](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.hipify.html) - [torch.utils.hipify.hipify_python.is_caffe2_gpu_file](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.is_caffe2_gpu_file.html) - [torch.utils.hipify.hipify_python.is_cusparse_file](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.is_cusparse_file.html) - [torch.utils.hipify.hipify_python.is_out_of_place](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.is_out_of_place.html) - [torch.utils.hipify.hipify_python.is_pytorch_file](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.is_pytorch_file.html) - [torch.utils.hipify.hipify_python.is_special_file](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.is_special_file.html) - [torch.utils.hipify.hipify_python.openf](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.openf.html) - [torch.utils.hipify.hipify_python.preprocess_file_and_save_result](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.preprocess_file_and_save_result.html) - [torch.utils.hipify.hipify_python.preprocessor](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.preprocessor.html) - [torch.utils.hipify.hipify_python.processKernelLaunches](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.processKernelLaunches.html) - [torch.utils.hipify.hipify_python.replace_extern_shared](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.replace_extern_shared.html) - [torch.utils.hipify.hipify_python.replace_math_functions](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.replace_math_functions.html) - [torch.utils.hipify.hipify_python.str2bool](https://docs.pytorch.org/docs/stable/generated/torch.utils.hipify.hipify_python.str2bool.html) - [torch.utils.rename_privateuse1_backend](https://docs.pytorch.org/docs/stable/generated/torch.utils.rename_privateuse1_backend.html) - [torch.utils.set_module](https://docs.pytorch.org/docs/stable/generated/torch.utils.set_module.html) - [torch.utils.swap_tensors](https://docs.pytorch.org/docs/stable/generated/torch.utils.swap_tensors.html) - [torch.vander](https://docs.pytorch.org/docs/stable/generated/torch.vander.html) - [torch.var](https://docs.pytorch.org/docs/stable/generated/torch.var.html) - [torch.var_mean](https://docs.pytorch.org/docs/stable/generated/torch.var_mean.html) - [torch.vdot](https://docs.pytorch.org/docs/stable/generated/torch.vdot.html) - [torch.view_as_complex](https://docs.pytorch.org/docs/stable/generated/torch.view_as_complex.html) - [torch.view_as_real](https://docs.pytorch.org/docs/stable/generated/torch.view_as_real.html) - [torch.vmap](https://docs.pytorch.org/docs/stable/generated/torch.vmap.html) - [torch.vsplit](https://docs.pytorch.org/docs/stable/generated/torch.vsplit.html) - [torch.vstack](https://docs.pytorch.org/docs/stable/generated/torch.vstack.html) - [torch.where](https://docs.pytorch.org/docs/stable/generated/torch.where.html) - [torch.xlogy](https://docs.pytorch.org/docs/stable/generated/torch.xlogy.html) - [Event](https://docs.pytorch.org/docs/stable/generated/torch.xpu.Event.html) - [StreamContext](https://docs.pytorch.org/docs/stable/generated/torch.xpu.StreamContext.html) - [Stream](https://docs.pytorch.org/docs/stable/generated/torch.xpu.Stream_class.html) - [XPUGraph](https://docs.pytorch.org/docs/stable/generated/torch.xpu.XPUGraph.html) - [torch.xpu.can_device_access_peer](https://docs.pytorch.org/docs/stable/generated/torch.xpu.can_device_access_peer.html) - [torch.xpu.current_device](https://docs.pytorch.org/docs/stable/generated/torch.xpu.current_device.html) - [torch.xpu.current_stream](https://docs.pytorch.org/docs/stable/generated/torch.xpu.current_stream.html) - [device](https://docs.pytorch.org/docs/stable/generated/torch.xpu.device.html) - [torch.xpu.device_count](https://docs.pytorch.org/docs/stable/generated/torch.xpu.device_count.html) - [device_of](https://docs.pytorch.org/docs/stable/generated/torch.xpu.device_of.html) - [torch.xpu.get_arch_list](https://docs.pytorch.org/docs/stable/generated/torch.xpu.get_arch_list.html) - [torch.xpu.get_device_capability](https://docs.pytorch.org/docs/stable/generated/torch.xpu.get_device_capability.html) - [torch.xpu.get_device_name](https://docs.pytorch.org/docs/stable/generated/torch.xpu.get_device_name.html) - [torch.xpu.get_device_properties](https://docs.pytorch.org/docs/stable/generated/torch.xpu.get_device_properties.html) - [torch.xpu.get_gencode_flags](https://docs.pytorch.org/docs/stable/generated/torch.xpu.get_gencode_flags.html) - [torch.xpu.get_rng_state](https://docs.pytorch.org/docs/stable/generated/torch.xpu.get_rng_state.html) - [torch.xpu.get_rng_state_all](https://docs.pytorch.org/docs/stable/generated/torch.xpu.get_rng_state_all.html) - [torch.xpu.get_stream_from_external](https://docs.pytorch.org/docs/stable/generated/torch.xpu.get_stream_from_external.html) - [graph](https://docs.pytorch.org/docs/stable/generated/torch.xpu.graph.html) - [torch.xpu.graph_pool_handle](https://docs.pytorch.org/docs/stable/generated/torch.xpu.graph_pool_handle.html) - [XPUGraph](https://docs.pytorch.org/docs/stable/generated/torch.xpu.graphs.XPUGraph.html) - [graph](https://docs.pytorch.org/docs/stable/generated/torch.xpu.graphs.graph.html) - [torch.xpu.graphs.graph_pool_handle](https://docs.pytorch.org/docs/stable/generated/torch.xpu.graphs.graph_pool_handle.html) - [torch.xpu.graphs.is_current_stream_capturing](https://docs.pytorch.org/docs/stable/generated/torch.xpu.graphs.is_current_stream_capturing.html) - [torch.xpu.graphs.make_graphed_callables](https://docs.pytorch.org/docs/stable/generated/torch.xpu.graphs.make_graphed_callables.html) - [torch.xpu.init](https://docs.pytorch.org/docs/stable/generated/torch.xpu.init.html) - [torch.xpu.initial_seed](https://docs.pytorch.org/docs/stable/generated/torch.xpu.initial_seed.html) - [torch.xpu.is_available](https://docs.pytorch.org/docs/stable/generated/torch.xpu.is_available.html) - [torch.xpu.is_bf16_supported](https://docs.pytorch.org/docs/stable/generated/torch.xpu.is_bf16_supported.html) - [torch.xpu.is_current_stream_capturing](https://docs.pytorch.org/docs/stable/generated/torch.xpu.is_current_stream_capturing.html) - [torch.xpu.is_initialized](https://docs.pytorch.org/docs/stable/generated/torch.xpu.is_initialized.html) - [torch.xpu.is_tf32_supported](https://docs.pytorch.org/docs/stable/generated/torch.xpu.is_tf32_supported.html) - [torch.xpu.make_graphed_callables](https://docs.pytorch.org/docs/stable/generated/torch.xpu.make_graphed_callables.html) - [torch.xpu.manual_seed](https://docs.pytorch.org/docs/stable/generated/torch.xpu.manual_seed.html) - [torch.xpu.manual_seed_all](https://docs.pytorch.org/docs/stable/generated/torch.xpu.manual_seed_all.html) - [MemPool](https://docs.pytorch.org/docs/stable/generated/torch.xpu.memory.MemPool.html) - [XPUPluggableAllocator](https://docs.pytorch.org/docs/stable/generated/torch.xpu.memory.XPUPluggableAllocator.html) - [torch.xpu.memory.change_current_allocator](https://docs.pytorch.org/docs/stable/generated/torch.xpu.memory.change_current_allocator.html) - [torch.xpu.memory.empty_cache](https://docs.pytorch.org/docs/stable/generated/torch.xpu.memory.empty_cache.html) - 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[torch](https://docs.pytorch.org/docs/stable/torch.html) - [Aliases in torch](https://docs.pytorch.org/docs/stable/torch.aliases.html) - [torch.compiler API reference](https://docs.pytorch.org/docs/stable/torch.compiler_api.html) - [PyTorch 2.0 Troubleshooting (old)](https://docs.pytorch.org/docs/stable/torch.compiler_troubleshooting_old.html) - [AOTInductor Intermediate Value Debug Printer](https://docs.pytorch.org/docs/stable/torch.intermediate_debug_printer.html) - [torch.overrides](https://docs.pytorch.org/docs/stable/torch.overrides.html) - [Understanding CUDA Memory Usage](https://docs.pytorch.org/docs/stable/torch_cuda_memory.html) - [Torch Environment Variables](https://docs.pytorch.org/docs/stable/torch_environment_variables.html) - [PYTORCH ProcessGroupNCCL Environment Variables](https://docs.pytorch.org/docs/stable/torch_nccl_environment_variables.html) - [Type Info](https://docs.pytorch.org/docs/stable/type_info.html) - [User Guide](https://docs.pytorch.org/docs/stable/user_guide/index.html) - [PyTorch Main Components](https://docs.pytorch.org/docs/stable/user_guide/pytorch_main_components.html) - [Advanced](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/advanced.html) - [Reference/API](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/api_reference.html) - [Advanced Options to Control Dynamic Behavior](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/dynamic_shapes_advanced_control_options.html) - [Backed vs Unbacked Symints](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/dynamic_shapes_backed_unbacked.html) - [Beyond the Basics](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/dynamic_shapes_beyond_the_basics.html) - [Dynamic Shapes Core Concepts](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/dynamic_shapes_core_concepts.html) - [Debugging with tlparse and TORCH_LOGS=dynamic](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/dynamic_shapes_debugging_tlparse_torch_logs.html) - [Troubleshooting Dynamic Shapes](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/dynamic_shapes_troubleshooting.html) - [Troubleshooting GuardOnDataDependentSymNode Errors](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/dynamic_shapes_troubleshooting_guardon_errors.html) - [The Zero-One Specialization Problem](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/dynamic_shapes_zero_one_specialization.html) - [torch.compile Programming Model](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.html) - [Common Graph Breaks](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.common_graph_breaks.html) - [Disabling and Suppressing Errors](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.compiler_disable.html) - [Custom Operators](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.custom_ops.html) - [Dynamo Core Concepts](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.dynamo_core_concepts.html) - [Use torch._dynamo.nonstrict_trace](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.dynamo_nonstrict_trace.html) - [Toggling error_on_graph_break](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.error_on_graph_break.html) - [Working with fullgraph=False](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.fullgraph_false.html) - [Use fullgraph=True to Identify and Eliminate Graph Breaks](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.fullgraph_true.html) - [Working with Graph Breaks](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.graph_breaks_index.html) - [Nested Graph Breaks](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.nested_graph_breaks.html) - [Non-strict Tracing Programming Model](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.non_strict_tracing_model.html) - [tlparse / TORCH_TRACE](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.observability.html) - [Dealing with Recompilations](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.recompilation.html) - [Reporting Issues](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.reporting_issues.html) - [Skipped Functions](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.skipped_functions.html) - [Where to apply torch.compile?](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/compile/programming_model.where_to_apply_compile.html) - [Core Concepts](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/core_concepts.html) - [torch.export](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/export.html) - [torch.export API Reference](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/export/api_reference.html) - [Draft Export](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/export/draft_export.html) - [torch.export IR Specification](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/export/ir_spec.html) - [Joint with descriptors](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/export/joint_with_descriptors.html) - [torch.export Programming Model](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/export/programming_model.html) - [PT2 Archive Spec](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/export/pt2_archive.html) - [Performance](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/performance.html) - [torch.compiler](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler.html) - [torch.compiler.config](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler.config.html) - [AOTInductor: Ahead-Of-Time Compilation for Torch.Export-ed Models](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_aot_inductor.html) - [AOTInductor Debugging Guide](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_aot_inductor_debugging_guide.html) - [AOTInductor Minifier](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_aot_inductor_minifier.html) - [torch.compile has different autograd semantics](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_backward.html) - [CUDAGraph Trees](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_cudagraph_trees.html) - [Custom Backends](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_custom_backends.html) - [Dynamic Shapes](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_dynamic_shapes.html) - [Dynamo Deep-Dive](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_dynamo_deepdive.html) - [Dynamo Overview](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_dynamo_overview.html) - [Fake tensor](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_fake_tensor.html) - [Frequently Asked Questions](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_faq.html) - [TorchDynamo APIs for fine-grained tracing](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_fine_grain_apis.html) - [Getting Started](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_get_started.html) - [TorchInductor GPU Profiling](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_inductor_profiling.html) - [TorchInductor and AOTInductor Provenance Tracking](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_inductor_provenance.html) - [IRs](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_ir.html) - [PyTorch 2.0 NNModule Support](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_nn_module.html) - [PyTorch 2.0 Performance Dashboard](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_performance_dashboard.html) - [Profiling to understand torch.compile performance](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_profiling_torch_compile.html) - [Writing Graph Transformations on ATen IR](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_transformations.html) - [torch.compile Troubleshooting](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/torch.compiler_troubleshooting.html) - [Troubleshooting FAQs](https://docs.pytorch.org/docs/stable/user_guide/torch_compiler/troubleshooting_faqs.html) - [torch.utils](https://docs.pytorch.org/docs/stable/utils.html) - [torch.xpu](https://docs.pytorch.org/docs/stable/xpu.html) - [Aliases in torch.xpu](https://docs.pytorch.org/docs/stable/xpu.aliases.html)