索引 _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Z _ __create_chunk_list__() (torch.distributed.tensor.DTensor method) __getstate__() (torch.distributed.algorithms.ddp_comm_hooks.powerSGD_hook.PowerSGDState method) __init__() (torch.distributed.FileStore method) (torch.distributed.HashStore method) (torch.distributed.PrefixStore method) (torch.distributed.Store method) (torch.distributed.TCPStore method) (torch.fx.Graph method) (torch.fx.GraphModule method) (torch.monitor.Event method) (torch.monitor.Stat method) (torch.monitor.TensorboardEventHandler method) (torch.package.PackageExporter method) (torch.package.PackageImporter method) (torch.Tensor method) (torch.utils.tensorboard.writer.SummaryWriter method) __setstate__() (torch.distributed.algorithms.ddp_comm_hooks.powerSGD_hook.PowerSGDState method) _assert() (in module torch) _assign_worker_ranks() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) _create_jit_fn() (in module torch.cuda.jiterator) _create_multi_output_jit_fn() (in module torch.cuda.jiterator) _dump_snapshot() (in module torch.cuda.memory) _exit_barrier() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) _foreach_abs() (in module torch) _foreach_abs_() (in module torch) _foreach_acos() (in module torch) _foreach_acos_() (in module torch) _foreach_asin() (in module torch) _foreach_asin_() (in module torch) _foreach_atan() (in module torch) _foreach_atan_() (in module torch) _foreach_ceil() (in module torch) _foreach_ceil_() (in module torch) _foreach_cos() (in module torch) _foreach_cos_() (in module torch) _foreach_cosh() (in module torch) _foreach_cosh_() (in module torch) _foreach_erf() (in module torch) _foreach_erf_() (in module torch) _foreach_erfc() (in module torch) _foreach_erfc_() (in module torch) _foreach_exp() (in module torch) _foreach_exp_() (in module torch) _foreach_expm1() (in module torch) _foreach_expm1_() (in module torch) _foreach_floor() (in module torch) _foreach_floor_() (in module torch) _foreach_frac() (in module torch) _foreach_frac_() (in module torch) _foreach_lgamma() (in module torch) _foreach_lgamma_() (in module torch) _foreach_log() (in module torch) _foreach_log10() (in module torch) _foreach_log10_() (in module torch) _foreach_log1p() (in module torch) _foreach_log1p_() (in module torch) _foreach_log2() (in module torch) _foreach_log2_() (in module torch) _foreach_log_() (in module torch) _foreach_neg() (in module torch) _foreach_neg_() (in module torch) _foreach_reciprocal() (in module torch) _foreach_reciprocal_() (in module torch) _foreach_round() (in module torch) _foreach_round_() (in module torch) _foreach_sigmoid() (in module torch) _foreach_sigmoid_() (in module torch) _foreach_sin() (in module torch) _foreach_sin_() (in module torch) _foreach_sinh() (in module torch) _foreach_sinh_() (in module torch) _foreach_sqrt() (in module torch) _foreach_sqrt_() (in module torch) _foreach_tan() (in module torch) _foreach_tan_() (in module torch) _foreach_trunc() (in module torch) _foreach_trunc_() (in module torch) _foreach_zero_() (in module torch) _initialize_workers() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) _KinetoProfile (class in torch.profiler) _monitor_workers() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) _record_memory_history() (in module torch.cuda.memory) _rendezvous() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) _restart_workers() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) _shutdown() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) _snapshot() (in module torch.cuda.memory) _start_workers() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) _stop_workers() (torch.distributed.elastic.agent.server.SimpleElasticAgent method) A abs() (in module torch) (torch.Tensor method) abs_() (torch.Tensor method) absolute() (in module torch) (torch.Tensor method) absolute_() (torch.Tensor method) AbsTransform (class in torch.distributions.transforms) acos() (in module torch) (torch.Tensor method) acos_() (torch.Tensor method) acosh() (in module torch) (torch.Tensor method) acosh_() (torch.Tensor method) acquire() (torch.distributed.elastic.timer.TimerClient method) active_pool() (torch.cuda.MemPoolContext static method) Adadelta (class in torch.optim) Adafactor (class in torch.optim) Adagrad (class in torch.optim) Adam (class in torch.optim) Adamax (class in torch.optim) AdamW (class in torch.optim) adapt() (torch.export.unflatten.FlatArgsAdapter method) adaptive_autorange() (torch.utils.benchmark.Timer method) adaptive_avg_pool1d() (in module torch.nn.functional) adaptive_avg_pool2d (class in torch.ao.nn.quantized.functional) adaptive_avg_pool2d() (in module torch.nn.functional) adaptive_avg_pool3d (class in torch.ao.nn.quantized.functional) adaptive_avg_pool3d() (in module torch.nn.functional) adaptive_max_pool1d() (in module torch.nn.functional) adaptive_max_pool2d() (in module torch.nn.functional) adaptive_max_pool3d() (in module torch.nn.functional) AdaptiveAvgPool1d (class in torch.nn) AdaptiveAvgPool2d (class in torch.nn) AdaptiveAvgPool3d (class in torch.nn) AdaptiveLogSoftmaxWithLoss (class in torch.nn) AdaptiveMaxPool1d (class in torch.nn) AdaptiveMaxPool2d (class in torch.nn) AdaptiveMaxPool3d (class in torch.nn) add() (in module torch) (torch.ao.ns._numeric_suite.Shadow method) (torch.distributed.elastic.rendezvous.etcd_store.EtcdStore method) (torch.distributed.Store method) (torch.fx.experimental.symbolic_shapes.DimConstraints method) (torch.monitor.Stat method) (torch.Tensor method) add_() (torch.Tensor method) add_audio() (torch.utils.tensorboard.writer.SummaryWriter method) add_custom_scalars() (torch.utils.tensorboard.writer.SummaryWriter method) add_dependency() (torch.package.PackageExporter method) add_done_callback() (torch.futures.Future method) add_dtype_config() (torch.ao.quantization.backend_config.BackendPatternConfig method) add_embedding() (torch.utils.tensorboard.writer.SummaryWriter method) add_equality() (torch.fx.experimental.symbolic_shapes.DimConstraints method) add_figure() (torch.utils.tensorboard.writer.SummaryWriter method) add_graph() (torch.utils.tensorboard.writer.SummaryWriter method) add_histogram() (torch.utils.tensorboard.writer.SummaryWriter method) add_hparams() (torch.utils.tensorboard.writer.SummaryWriter method) add_image() (torch.utils.tensorboard.writer.SummaryWriter method) add_images() (torch.utils.tensorboard.writer.SummaryWriter method) add_loggers() (in module torch.ao.ns._numeric_suite_fx) add_mesh() (torch.utils.tensorboard.writer.SummaryWriter method) add_metadata() (torch.profiler._KinetoProfile method) add_metadata_json() (torch.profiler._KinetoProfile method) add_module() (torch.jit.ScriptModule method) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) add_param_group() (torch.distributed.optim.ZeroRedundancyOptimizer method) (torch.optim.Adadelta method) (torch.optim.Adafactor method) (torch.optim.Adagrad method) (torch.optim.Adam method) (torch.optim.Adamax method) (torch.optim.AdamW method) (torch.optim.ASGD method) (torch.optim.LBFGS method) (torch.optim.NAdam method) (torch.optim.Optimizer method) (torch.optim.RAdam method) (torch.optim.RMSprop method) (torch.optim.Rprop method) (torch.optim.SGD method) (torch.optim.SparseAdam method) add_pr_curve() (torch.utils.tensorboard.writer.SummaryWriter method) add_pruning_method() (torch.nn.utils.prune.PruningContainer method) add_quant_dequant (class in torch.ao.quantization) add_relu() (torch.ao.ns._numeric_suite.Shadow method) add_safe_globals() (in module torch.serialization) add_scalar() (torch.ao.ns._numeric_suite.Shadow method) (torch.utils.tensorboard.writer.SummaryWriter method) add_scalars() (torch.utils.tensorboard.writer.SummaryWriter method) add_shadow_loggers() (in module torch.ao.ns._numeric_suite_fx) add_submodule() (torch.fx.GraphModule method) add_text() (torch.utils.tensorboard.writer.SummaryWriter method) add_var_to_val() (torch.fx.experimental.symbolic_shapes.ShapeEnv method) add_video() (torch.utils.tensorboard.writer.SummaryWriter method) addbmm() (in module torch) (torch.Tensor method) addbmm_() (torch.Tensor method) addcdiv() (in module torch) (torch.Tensor method) addcdiv_() (torch.Tensor method) addcmul() (in module torch) (torch.Tensor method) addcmul_() (torch.Tensor method) addmm() (in module torch) (in module torch.sparse) (torch.Tensor method) addmm_() (torch.Tensor method) addmv() (in module torch) (torch.Tensor method) addmv_() (torch.Tensor method) addr() (in module torch) (torch.Tensor method) addr_() (torch.Tensor method) adjoint() (in module torch) (torch.Tensor method) affine_grid() (in module torch.nn.functional) AffineQuantizedObserverBase (class in torch.ao.quantization.observer) AffineTransform (class in torch.distributions.transforms) Aggregation (class in torch.monitor) airy_ai() (in module torch.special) align_as() (torch.Tensor method) align_to() (torch.Tensor method) all() (in module torch) (torch.Tensor method) all_gather() (in module torch.distributed) all_gather_into_tensor() (in module torch.distributed) all_gather_object() (in module torch.distributed) all_input_nodes (torch.fx.Node property) all_paths() (torch.package.PackageExporter method) all_reduce() (in module torch.distributed) all_to_all() (in module torch.distributed) all_to_all_single() (in module torch.distributed) allclose() (in module torch) (torch.Tensor method) allocator (torch.cuda.MemPool property) allow_bf16_reduced_precision_reduction (in module torch.backends.cuda.matmul) allow_fp16_bf16_reduction_math_sdp() (in module torch.backends.cuda) allow_fp16_reduced_precision_reduction (in module torch.backends.cuda.matmul) allow_in_graph() (in module torch.compiler) allow_mutation_on_saved_tensors (class in torch.autograd.graph) allow_tf32 (in module torch.backends.cuda.matmul) (in module torch.backends.cudnn) allreduce_hook() (in module torch.distributed.algorithms.ddp_comm_hooks.default_hooks) alpha_dropout() (in module torch.nn.functional) AlphaDropout (class in torch.nn) amax() (in module torch) (torch.Tensor method) amin() (in module torch) (torch.Tensor method) aminmax() (in module torch) (torch.Tensor method) and_masks() (in module torch.nn.attention.flex_attention) angle() (in module torch) (torch.Tensor method) annotate() (in module torch.jit) any() (in module torch) (torch.Tensor method) aoti_compile_and_package() (in module torch._inductor) aoti_load_package() (in module torch._inductor) append() (torch.distributed.Store method) (torch.fx.Node method) (torch.nn.ModuleList method) (torch.nn.ParameterList method) (torch.nn.Sequential method) apply() (torch.autograd.function.BackwardCFunction method) (torch.distributed.fsdp.FullyShardedDataParallel method) (torch.jit.ScriptModule method) (torch.nn.Module method) (torch.nn.utils.prune.BasePruningMethod class method) (torch.nn.utils.prune.CustomFromMask class method) (torch.nn.utils.prune.Identity class method) (torch.nn.utils.prune.L1Unstructured class method) (torch.nn.utils.prune.LnStructured class method) (torch.nn.utils.prune.PruningContainer class method) (torch.nn.utils.prune.RandomStructured class method) (torch.nn.utils.prune.RandomUnstructured class method) (torch.optim.swa_utils.AveragedModel method) apply_() (torch.Tensor method) apply_jvp() (torch.autograd.function.BackwardCFunction method) apply_mask() (torch.nn.utils.prune.BasePruningMethod method) (torch.nn.utils.prune.CustomFromMask method) (torch.nn.utils.prune.Identity method) (torch.nn.utils.prune.L1Unstructured method) (torch.nn.utils.prune.LnStructured method) (torch.nn.utils.prune.PruningContainer method) (torch.nn.utils.prune.RandomStructured method) (torch.nn.utils.prune.RandomUnstructured method) apply_weights() (torch.onnx.ONNXProgram method) arange() (in module torch) arccos() (in module torch) (torch.Tensor method) arccos_() (torch.Tensor method) arccosh() (in module torch) (torch.Tensor method) arccosh_() (torch.Tensor method) arcsin() (in module torch) (torch.Tensor method) arcsin_() (torch.Tensor method) arcsinh() (in module torch) (torch.Tensor method) arcsinh_() (torch.Tensor method) arctan() (in module torch) (torch.Tensor method) arctan2() (in module torch) (torch.Tensor method) arctan2_() (torch.Tensor method) arctan_() (torch.Tensor method) arctanh() (in module torch) (torch.Tensor method) arctanh_() (torch.Tensor method) are_deterministic_algorithms_enabled() (in module torch) arg_constraints (torch.distributions.bernoulli.Bernoulli attribute) (torch.distributions.beta.Beta attribute) (torch.distributions.binomial.Binomial attribute) (torch.distributions.categorical.Categorical attribute) (torch.distributions.cauchy.Cauchy attribute) (torch.distributions.chi2.Chi2 attribute) (torch.distributions.continuous_bernoulli.ContinuousBernoulli attribute) (torch.distributions.dirichlet.Dirichlet attribute) (torch.distributions.distribution.Distribution property) (torch.distributions.exponential.Exponential attribute) (torch.distributions.fishersnedecor.FisherSnedecor attribute) (torch.distributions.gamma.Gamma attribute) (torch.distributions.geometric.Geometric attribute) (torch.distributions.gumbel.Gumbel attribute) (torch.distributions.half_cauchy.HalfCauchy attribute) (torch.distributions.half_normal.HalfNormal attribute) (torch.distributions.independent.Independent attribute) (torch.distributions.inverse_gamma.InverseGamma attribute) (torch.distributions.kumaraswamy.Kumaraswamy attribute) (torch.distributions.laplace.Laplace attribute) (torch.distributions.lkj_cholesky.LKJCholesky attribute) (torch.distributions.log_normal.LogNormal attribute) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal attribute) (torch.distributions.mixture_same_family.MixtureSameFamily attribute) (torch.distributions.multinomial.Multinomial attribute) (torch.distributions.multivariate_normal.MultivariateNormal attribute) (torch.distributions.negative_binomial.NegativeBinomial attribute) (torch.distributions.normal.Normal attribute) (torch.distributions.one_hot_categorical.OneHotCategorical attribute) (torch.distributions.pareto.Pareto attribute) (torch.distributions.poisson.Poisson attribute) (torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli attribute) (torch.distributions.relaxed_bernoulli.RelaxedBernoulli attribute) (torch.distributions.relaxed_categorical.RelaxedOneHotCategorical attribute) (torch.distributions.studentT.StudentT attribute) (torch.distributions.transformed_distribution.TransformedDistribution attribute) (torch.distributions.uniform.Uniform attribute) (torch.distributions.von_mises.VonMises attribute) (torch.distributions.weibull.Weibull attribute) (torch.distributions.wishart.Wishart attribute) argmax() (in module torch) (torch.Tensor method) argmin() (in module torch) (torch.Tensor method) args (torch.fx.Node property) argsort() (in module torch) (torch.Tensor method) argwhere() (in module torch) (torch.Tensor method) as_integer_ratio() (torch.SymFloat method) (torch.SymInt method) as_nested_tensor() (in module torch.nested) as_sparse_gradcheck() (in module torch.sparse) as_standardized() (torch.utils.benchmark.CallgrindStats method) as_strided() (in module torch) (torch.Tensor method) as_subclass() (torch.Tensor method) as_tensor() (in module torch) as_tuple() (torch.nn.attention.flex_attention.BlockMask method) asarray() (in module torch) ASGD (class in torch.optim) asin() (in module torch) (torch.Tensor method) asin_() (torch.Tensor method) asinh() (in module torch) (torch.Tensor method) asinh_() (torch.Tensor method) assert_allclose() (in module torch.testing) assert_close() (in module torch.testing) assume_constant_result() (in module torch.compiler) async_execution() (in module torch.distributed.rpc.functions) async_save() (in module torch.distributed.checkpoint.state_dict_saver) AsyncCheckpointerType (class in torch.distributed.checkpoint.state_dict_saver) AsyncStager (class in torch.distributed.checkpoint.staging) atan() (in module torch) (torch.Tensor method) atan2() (in module torch) (torch.Tensor method) atan2_() (torch.Tensor method) atan_() (torch.Tensor method) atanh() (in module torch) (torch.Tensor method) atanh_() (torch.Tensor method) atleast_1d() (in module torch) atleast_2d() (in module torch) atleast_3d() (in module torch) Attribute (class in torch.jit) autocast (class in torch) (class in torch.cpu.amp) (class in torch.cuda.amp) AveragedModel (class in torch.optim.swa_utils) avg_pool1d() (in module torch.nn.functional) avg_pool2d (class in torch.ao.nn.quantized.functional) avg_pool2d() (in module torch.nn.functional) avg_pool3d (class in torch.ao.nn.quantized.functional) avg_pool3d() (in module torch.nn.functional) AvgPool1d (class in torch.nn) AvgPool2d (class in torch.nn) AvgPool3d (class in torch.nn) B Backend (class in torch.distributed) BackendConfig (class in torch.ao.quantization.backend_config) BackendPatternConfig (class in torch.ao.quantization.backend_config) BackendType (class in torch.distributed.rpc) backward() (in module torch.autograd) (in module torch.distributed.autograd) (torch.autograd.Function static method) (torch.autograd.function.InplaceFunction static method) (torch.autograd.function.NestedIOFunction method) (torch.distributed.rpc.PyRRef method) (torch.Tensor method) backward_extended() (torch.autograd.function.NestedIOFunction method) BackwardCFunction (class in torch.autograd.function) BackwardPrefetch (class in torch.distributed.fsdp) baddbmm() (in module torch) (torch.Tensor method) baddbmm_() (torch.Tensor method) barrier() (in module torch.distributed) bartlett() (in module torch.signal.windows) bartlett_window() (in module torch) BasePruningMethod (class in torch.nn.utils.prune) batch_isend_irecv() (in module torch.distributed) batch_norm() (in module torch.nn.functional) batch_shape (torch.distributions.distribution.Distribution property) batch_sizes (torch.nn.utils.rnn.PackedSequence attribute) batched_powerSGD_hook() (in module torch.distributed.algorithms.ddp_comm_hooks.powerSGD_hook) BatchNorm1d (class in torch.nn) BatchNorm2d (class in torch.ao.nn.quantized) (class in torch.nn) BatchNorm3d (class in torch.ao.nn.quantized) (class in torch.nn) BatchSampler (class in torch.utils.data) BCELoss (class in torch.nn) BCEWithLogitsLoss (class in torch.nn) benchmark (in module torch.backends.cudnn) benchmark_limit (in module torch.backends.cudnn) Bernoulli (class in torch.distributions.bernoulli) bernoulli() (in module torch) (torch.Tensor method) bernoulli_() (torch.Tensor method) bessel_j0() (in module torch.special) bessel_j1() (in module torch.special) Beta (class in torch.distributions.beta) bf16_compress_hook() (in module torch.distributed.algorithms.ddp_comm_hooks.default_hooks) bf16_compress_wrapper() (in module torch.distributed.algorithms.ddp_comm_hooks.default_hooks) bfloat16() (torch.jit.ScriptModule method) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) BFloat16Storage (class in torch) Bilinear (class in torch.nn) bilinear() (in module torch.nn.functional) binary_cross_entropy() (in module torch.nn.functional) binary_cross_entropy_with_logits() (in module torch.nn.functional) bincount() (in module torch) (torch.Tensor method) bind_symbols() (torch.fx.experimental.symbolic_shapes.ShapeEnv method) Binomial (class in torch.distributions.binomial) bitwise_and() (in module torch) (torch.Tensor method) bitwise_and_() (torch.Tensor method) bitwise_left_shift() (in module torch) (torch.Tensor method) bitwise_left_shift_() (torch.Tensor method) bitwise_not() (in module torch) (torch.Tensor method) bitwise_not_() (torch.Tensor method) bitwise_or() (in module torch) (torch.Tensor method) bitwise_or_() (torch.Tensor method) bitwise_right_shift() (in module torch) (torch.Tensor method) bitwise_right_shift_() (torch.Tensor method) bitwise_xor() (in module torch) (torch.Tensor method) bitwise_xor_() (torch.Tensor method) blackman() (in module torch.signal.windows) blackman_window() (in module torch) block_diag() (in module torch) BLOCK_SIZE (torch.nn.attention.flex_attention.BlockMask attribute) blocked_autorange() (torch.utils.benchmark.Timer method) BlockingAsyncStager (class in torch.distributed.checkpoint.staging) BlockMask (class in torch.nn.attention.flex_attention) bmm() (in module torch) (torch.Tensor method) BNReLU2d (class in torch.ao.nn.intrinsic) (class in torch.ao.nn.intrinsic.quantized) BNReLU3d (class in torch.ao.nn.intrinsic) (class in torch.ao.nn.intrinsic.quantized) bool() (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) BoolStorage (class in torch) bound_sympy() (torch.fx.experimental.symbolic_shapes.ShapeEnv method) boxed() (torch.distributed.Work method) boxed_run() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts method) (torch.fx.Interpreter method) breakpoint() (in module torch.distributed) broadcast() (in module torch.cuda.comm) (in module torch.distributed) broadcast_coalesced() (in module torch.cuda.comm) broadcast_object_list() (in module torch.distributed) broadcast_shapes() (in module torch) broadcast_tensors() (in module torch) broadcast_to() (in module torch) (torch.Tensor method) BroadcastingTorchSaveReader (class in torch.distributed.checkpoint.format_utils) bucketize() (in module torch) Buffer (class in torch.nn.parameter) buffer() (in module torch.distributed.GradBucket) buffers() (torch.export.ExportedProgram method) (torch.jit.ScriptModule method) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) build() (torch.distributed.elastic.rendezvous.api.RendezvousStoreInfo static method) build_stage() (in module torch.distributed.pipelining.stage) BuildExtension() (in module torch.utils.cpp_extension) byte() (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) ByteStorage (class in torch) byteswap() (torch.UntypedStorage method) C C10dRendezvousBackend (class in torch.distributed.elastic.rendezvous.c10d_rendezvous_backend) cached() (in module torch.nn.utils.parametrize) caching_allocator_alloc() (in module torch.cuda) caching_allocator_delete() (in module torch.cuda) caching_allocator_enable() (in module torch.cuda.memory) calculate_gain() (in module torch.nn.init) calculate_qparams() (torch.ao.quantization.observer.AffineQuantizedObserverBase method) (torch.ao.quantization.observer.MinMaxObserver method) call_function() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts method) (torch.fx.Graph method) (torch.fx.Interpreter method) (torch.fx.Transformer method) call_method() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts method) (torch.fx.Graph method) (torch.fx.Interpreter method) call_module() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts method) (torch.fx.Graph method) (torch.fx.Interpreter method) (torch.fx.Tracer method) (torch.fx.Transformer method) CallgrindStats (class in torch.utils.benchmark) CallMethodKey (class in torch.fx.experimental.symbolic_shapes) can_cast() (in module torch) can_device_access_peer() (在模組 torch.cuda 中) can_use_cudnn_attention() (在模組 torch.backends.cuda 中) can_use_efficient_attention() (在模組 torch.backends.cuda 中) can_use_flash_attention() (在模組 torch.backends.cuda 中) canonicalize_bool_expr() (在模組 torch.fx.experimental.symbolic_shapes 中) capture_begin() (torch.cuda.CUDAGraph 方法) capture_end() (torch.cuda.CUDAGraph 方法) cartesian_prod() (在模組 torch 中) cat (在模組 torch.distributions.constraints 中) cat() (在模組 torch 中) (torch.ao.ns._numeric_suite.Shadow method) Categorical (類,在模組 torch.distributions.categorical 中) CatTransform (類,在模組 torch.distributions.transforms 中) Cauchy (類,在模組 torch.distributions.cauchy 中) cauchy_() (torch.Tensor 方法) causal_lower_right() (在模組 torch.nn.attention.bias 中) causal_upper_left() (在模組 torch.nn.attention.bias 中) CausalBias (類,在模組 torch.nn.attention.bias 中) CausalVariant (類,在模組 torch.nn.attention.bias 中) ccol_indices() (torch.Tensor 方法) cdf() (torch.distributions.cauchy.Cauchy 方法) (torch.distributions.continuous_bernoulli.ContinuousBernoulli 方法) (torch.distributions.distribution.Distribution 方法) (torch.distributions.exponential.Exponential 方法) (torch.distributions.gamma.Gamma 方法) (torch.distributions.half_cauchy.HalfCauchy 方法) (torch.distributions.half_normal.HalfNormal 方法) (torch.distributions.laplace.Laplace 方法) (torch.distributions.mixture_same_family.MixtureSameFamily 方法) (torch.distributions.normal.Normal 方法) (torch.distributions.transformed_distribution.TransformedDistribution 方法) (torch.distributions.uniform.Uniform 方法) cdist() (在模組 torch 中) cdouble() (torch.Tensor 方法) ceil() (在模組 torch 中) (torch.Tensor method) ceil_() (torch.Tensor 方法) celu (類,在模組 torch.ao.nn.quantized.functional 中) CELU (類,在模組 torch.nn 中) celu() (在模組 torch.nn.functional 中) cfloat() (torch.Tensor 方法) chain_matmul() (在模組 torch 中) ChainDataset (類,在模組 torch.utils.data 中) ChainedScheduler (類,在模組 torch.optim.lr_scheduler 中) chalf() (torch.Tensor 方法) change_current_allocator() (在模組 torch.cuda 中) ChannelShuffle (類,在模組 torch.nn 中) char() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) CharStorage (類,在模組 torch 中) check() (torch.distributed.elastic.rendezvous.etcd_store.EtcdStore 方法) (torch.distributed.Store method) (torch.distributions.constraints.Constraint 方法) check_consistent() (在模組 torch.fx.experimental.symbolic_shapes 中) check_equal() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) 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torch.ao.nn.quantized.functional 中) clamp() (在模組 torch 中) (torch.Tensor method) clamp_() (torch.Tensor 方法) cleanup() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) clear() (在模組 torch.backends.cuda.cufft_plan_cache 中) (torch.autograd.profiler_util.StringTable 方法) (torch.nn.ModuleDict 方法) (torch.nn.ParameterDict 方法) clear_safe_globals() (在模組 torch.serialization 中) clear_timers() (torch.distributed.elastic.timer.TimerServer 方法) clip() (在模組 torch 中) (torch.Tensor method) clip_() (torch.Tensor 方法) clip_grad_norm() (在模組 torch.nn.utils 中) clip_grad_norm_() (在模組 torch.nn.utils 中) (torch.distributed.fsdp.FullyShardedDataParallel method) clip_grad_value_() (在模組 torch.nn.utils 中) clip_grads_with_norm_() (在模組 torch.nn.utils 中) clock_rate() (在模組 torch.cuda 中) clone() (在模組 torch 中) (torch.autograd.grad_mode.inference_mode 方法) (torch.autograd.grad_mode.set_grad_enabled 方法) (torch.autograd.grad_mode.set_multithreading_enabled 方法) (torch.Tensor method) (torch.TypedStorage method) 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torch.distributions.constraint_registry 中) construct_and_record_rdzv_event() (在模組 torch.distributed.elastic.events 中) context (類,在模組 torch.distributed.autograd 中) context_parallel() (在模組 torch.distributed.tensor.experimental 中) contiguous() (torch.Tensor 方法) ContinuousBernoulli (類,在模組 torch.distributions.continuous_bernoulli 中) Conv1d (類,在模組 torch.ao.nn.quantized 中) conv1d (類,在模組 torch.ao.nn.quantized.functional 中) Conv1d (類,在模組 torch.nn 中) conv1d() (在模組 torch.nn.functional 中) Conv2d (類,在模組 torch.ao.nn.qat 中) (類,在模組 torch.ao.nn.quantized 中) conv2d (類,在模組 torch.ao.nn.quantized.functional 中) Conv2d (類,在模組 torch.nn 中) conv2d() (在模組 torch.nn.functional 中) Conv3d (類,在模組 torch.ao.nn.qat 中) (類,在模組 torch.ao.nn.quantized 中) conv3d (類,在模組 torch.ao.nn.quantized.functional 中) Conv3d (類,在模組 torch.nn 中) conv3d() (在模組 torch.nn.functional 中) conv_transpose1d() (在模組 torch.nn.functional 中) conv_transpose2d() (在模組 torch.nn.functional 中) conv_transpose3d() (在模組 torch.nn.functional 中) ConvBn1d (類,在模組 torch.ao.nn.intrinsic 中) (類,在模組 torch.ao.nn.intrinsic.qat 中) ConvBn2d (類,在模組 torch.ao.nn.intrinsic 中) (類,在模組 torch.ao.nn.intrinsic.qat 中) ConvBn3d (類,在模組 torch.ao.nn.intrinsic 中) (類,在模組 torch.ao.nn.intrinsic.qat 中) ConvBnReLU1d (類,在模組 torch.ao.nn.intrinsic 中) (類,在模組 torch.ao.nn.intrinsic.qat 中) ConvBnReLU2d (類,在模組 torch.ao.nn.intrinsic 中) (類,在模組 torch.ao.nn.intrinsic.qat 中) ConvBnReLU3d (類,在模組 torch.ao.nn.intrinsic 中) (類,在模組 torch.ao.nn.intrinsic.qat 中) convert (類,在模組 torch.ao.quantization 中) convert_conv2d_weight_memory_format() (在模組 torch.nn.utils 中) convert_conv3d_weight_memory_format() (在模組 torch.nn.utils 中) convert_fx (類,在模組 torch.ao.quantization.quantize_fx 中) convert_n_shadows_model() (在模組 torch.ao.ns._numeric_suite_fx 中) convert_sync_batchnorm() (torch.nn.SyncBatchNorm 類方法) ConvertCustomConfig (類,在模組 torch.ao.quantization.fx.custom_config 中) ConvertIntKey (類,在模組 torch.fx.experimental.symbolic_shapes 中) ConvReLU1d (類,在模組 torch.ao.nn.intrinsic 中) (class in 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create_nested_block_mask() (在模組 torch.nn.attention.flex_attention 中) create_node() (torch.fx.Graph 方法) (torch.fx.Tracer method) create_proxy() (torch.fx.Tracer 方法) create_selective_checkpoint_contexts() (在模組 torch.utils.checkpoint 中) create_symbol() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_symbolic_sizes_strides_storage_offset() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_symboolnode() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_symfloatnode() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_symintnode() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_unbacked_symbool() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_unbacked_symfloat() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_unbacked_symint() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_unspecified_symbol() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) create_unspecified_symint_and_symbol() 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torch.export.graph_signature 中) CustomOpDef (類,在模組 torch._library.custom_ops 中) CyclicLR (類,在模組 torch.optim.lr_scheduler 中) D data (torch.monitor.Event 屬性) (torch.nn.utils.rnn.PackedSequence 屬性) data_parallel() (在模組 torch.nn.parallel 中) data_ptr() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) data_value_t (類,在模組 torch.monitor 中) DataLoader (類,在模組 torch.utils.data 中) DataParallel (類,在模組 torch.nn 中) Dataset (類,在模組 torch.utils.data 中) dcp_to_torch_save() (在模組 torch.distributed.checkpoint.format_utils 中) debug_dump() (torch.cuda.CUDAGraph 方法) debug_unwrap() (在模組 torch.func 中) default_activation_only_qconfig (在模組 torch.ao.quantization.qconfig 中) default_collate() (在模組 torch.utils.data 中) default_convert() (在模組 torch.utils.data 中) default_debug_observer (在模組 torch.ao.quantization.observer 中) default_debug_qconfig (在模組 torch.ao.quantization.qconfig 中) default_decompositions() (在模組 torch.export.exported_program 中) default_dynamic_qconfig (在模組 torch.ao.quantization.qconfig 中) default_dynamic_quant_observer (在模組 torch.ao.quantization.observer 中) default_eval_fn (類,在模組 torch.ao.quantization 中) default_factory (torch.autograd.profiler_util.StringTable 屬性) default_fake_quant (在模組 torch.ao.quantization.fake_quantize 中) default_float_qparams_observer (在模組 torch.ao.quantization.observer 中) default_fused_act_fake_quant (在模組 torch.ao.quantization.fake_quantize 中) default_fused_per_channel_wt_fake_quant (在模組 torch.ao.quantization.fake_quantize 中) default_fused_wt_fake_quant (在模組 torch.ao.quantization.fake_quantize 中) default_generator (torch.torch 屬性) default_histogram_fake_quant (在模組 torch.ao.quantization.fake_quantize 中) default_histogram_observer (在模組 torch.ao.quantization.observer 中) default_observer (在模組 torch.ao.quantization.observer 中) default_per_channel_qconfig (在模組 torch.ao.quantization.qconfig 中) default_per_channel_weight_fake_quant (在模組 torch.ao.quantization.fake_quantize 中) default_per_channel_weight_observer (在模組 torch.ao.quantization.observer 中) default_placeholder_observer (在模組 torch.ao.quantization.observer 中) default_qat_qconfig (在模組 torch.ao.quantization.qconfig 中) default_qat_qconfig_v2 (在模組 torch.ao.quantization.qconfig 中) default_qconfig (在模組 torch.ao.quantization.qconfig 中) default_stream() (在模組 torch.cuda 中) (在模組 torch.mtia 中) default_weight_fake_quant (在模組 torch.ao.quantization.fake_quantize 中) default_weight_observer (在模組 torch.ao.quantization.observer 中) default_weight_only_qconfig (在模組 torch.ao.quantization.qconfig 中) DefaultLoadPlanner (類,在模組 torch.distributed.checkpoint 中) DefaultLogsSpecs (類,在模組 torch.distributed.elastic.multiprocessing.api 中) DefaultSavePlanner (類,在模組 torch.distributed.checkpoint 中) defer_runtime_assert() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) DeferredMtiaCallError define() (在模組 torch.library 中) (torch.library.Library 方法) definitely_false() (在模組 torch.fx.experimental.symbolic_shapes 中) definitely_true() (在模組 torch.fx.experimental.symbolic_shapes 中) deg2rad() (在模組 torch 中) (torch.Tensor method) delete_all_unused_submodules() (torch.fx.GraphModule 方法) delete_key() (torch.distributed.Store 方法) delete_submodule() (torch.fx.GraphModule 方法) delta() (torch.utils.benchmark.CallgrindStats 方法) denied_modules() (torch.package.PackageExporter 方法) denoise() (torch.utils.benchmark.FunctionCounts 方法) dense_dim() (torch.Tensor 方法) deny() (torch.package.PackageExporter 方法) dependency_graph_string() (torch.package.PackageExporter 方法) dependent_property (在模組 torch.distributions.constraints 中) dequantize() (在模組 torch 中) (torch.ao.nn.quantizable.MultiheadAttention 方法) (torch.Tensor method) DeQuantStub (類,在模組 torch.ao.quantization 中) deregister_handle() (torch.cuda.gds.GdsFile 方法) deserialize_symexpr() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) det() (在模組 torch 中) (在模組 torch.linalg 中) (torch.Tensor method) detach() (torch.Tensor 方法) detach_() (torch.Tensor 方法) detect_anomaly (類,在模組 torch.autograd 中) deterministic (在模組 torch.backends.cudnn 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(torch.Tensor method) diff() (在模組 torch 中) (torch.Tensor method) digamma() (在模組 torch 中) (在模組 torch.special 中) (torch.Tensor method) digamma_() (torch.Tensor 方法) dim (torch.distributed.tensor.placement_types.Shard 屬性) Dim() (在模組 torch.export.dynamic_shapes 中) dim() (torch.Tensor 方法) dim_order() (torch.Tensor 方法) DimConstraints (類,在模組 torch.fx.experimental.symbolic_shapes 中) DimDynamic (類,在模組 torch.fx.experimental.symbolic_shapes 中) dims() (在模組 torch.export 中) dirac_() (在模組 torch.nn.init 中) Directory (類,在模組 torch.package 中) Dirichlet (類,在模組 torch.distributions.dirichlet 中) disable() (在模組 torch.compiler 中) (torch.sparse.check_sparse_tensor_invariants 靜態方法) disable_fake_quant (類,在模組 torch.ao.quantization.fake_quantize 中) disable_observer (類,在模組 torch.ao.quantization.fake_quantize 中) disable_saved_tensors_hooks (類,在模組 torch.autograd.graph 中) dist() (在模組 torch 中) (torch.Tensor method) DistBackendError (類,在模組 torch.distributed 中) DistError (類,在模組 torch.distributed 中) DistNetworkError (類,在模組 torch.distributed 中) distribute_module() (在模組 torch.distributed.tensor 中) distribute_tensor() (在模組 torch.distributed.tensor 中) DistributedDataParallel (類,在模組 torch.nn.parallel 中) DistributedOptimizer (類,在模組 torch.distributed.optim 中) DistributedSampler (類,在模組 torch.utils.data.distributed 中) Distribution (類,在模組 torch.distributions.distribution 中) DistStoreError (類,在模組 torch.distributed 中) div() (在模組 torch 中) (torch.Tensor method) div_() (torch.Tensor 方法) divide() (在模組 torch 中) (torch.Tensor method) divide_() (torch.Tensor 方法) DivideByKey (類,在模組 torch.fx.experimental.symbolic_shapes 中) done() (torch.futures.Future 方法) dot() (在模組 torch 中) (torch.Tensor method) double() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) DoubleStorage (類,在模組 torch 中) download_url_to_file() (在模組 torch.hub 中) draw() (torch.quasirandom.SobolEngine 方法) draw_base2() (torch.quasirandom.SobolEngine 方法) driver_allocated_memory() (在模組 torch.mps 中) Dropout (類,在模組 torch.nn 中) dropout() (在模組 torch.nn.functional 中) Dropout1d (類,在模組 torch.nn 中) dropout1d() (在模組 torch.nn.functional 中) Dropout2d (類,在模組 torch.nn 中) dropout2d() (在模組 torch.nn.functional 中) Dropout3d (類,在模組 torch.nn 中) dropout3d() (在模組 torch.nn.functional 中) dsplit() (在模組 torch 中) (torch.Tensor method) dstack() (在模組 torch 中) DTensor (類,在模組 torch.distributed.tensor 中) dtype (類,在模組 torch 中) (torch.BFloat16Storage 屬性) (torch.BoolStorage 屬性) (torch.ByteStorage 屬性) (torch.CharStorage 屬性) (torch.ComplexDoubleStorage 屬性) (torch.ComplexFloatStorage 屬性) (torch.DoubleStorage 屬性) (torch.FloatStorage 屬性) (torch.HalfStorage 屬性) (torch.IntStorage 屬性) (torch.LongStorage 屬性) (torch.QInt32Storage 屬性) (torch.QInt8Storage 屬性) (torch.QUInt2x4Storage 屬性) (torch.QUInt4x2Storage 屬性) (torch.QUInt8Storage 屬性) (torch.ShortStorage 屬性) (torch.TypedStorage 屬性) dtype() (torch.onnx.JitScalarType 方法) DTypeConfig (類,在模組 torch.ao.quantization.backend_config 中) DTypeWithConstraints (類,在模組 torch.ao.quantization.backend_config 中) dual_level (類,在模組 torch.autograd.forward_ad 中) duration (torch.autograd.profiler_util.Kernel 屬性) dynamic_shapes() (torch.export.dynamic_shapes.ShapesCollection 方法) DynamicMetaLoadPlanner (類,在模組 torch.distributed.checkpoint.format_utils 中) DynamicRendezvousHandler (類,在模組 torch.distributed.elastic.rendezvous.dynamic_rendezvous 中) dynamo_export() (在模組 torch.onnx 中) E eig() (在模組 torch.linalg 中) eigh() (在模組 torch.linalg 中) eigvals() (在模組 torch.linalg 中) eigvalsh() (在模組 torch.linalg 中) einsum() (在模組 torch 中) elapsed_time() (torch.cuda.Event 方法) (torch.Event 方法) (torch.mps.event.Event 方法) (torch.mtia.Event 方法) (torch.xpu.Event 方法) elapsed_us() (torch.autograd.profiler_util.Interval 方法) ElasticAgent (類,在模組 torch.distributed.elastic.agent.server 中) element_size() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) eliminate_dead_code() (torch.fx.Graph 方法) ELU (類,在模組 torch.ao.nn.quantized 中) elu (類,在模組 torch.ao.nn.quantized.functional 中) ELU (類,在模組 torch.nn 中) elu() (在模組 torch.nn.functional 中) elu_() (在模組 torch.nn.functional 中) Embedding (類,在模組 torch.ao.nn.quantized 中) (class in torch.nn) embedding() (在模組 torch.nn.functional 中) embedding_bag() (在模組 torch.nn.functional 中) EmbeddingBag (類,在模組 torch.ao.nn.quantized 中) (class in torch.nn) emit_itt (類,在模組 torch.autograd.profiler 中) emit_nvtx (類,在模組 torch.autograd.profiler 中) empty() (在模組 torch 中) (在模組 torch.distributed.tensor 中) empty_cache() (在模組 torch.cuda 中) (在模組 torch.mps 中) (在模組 torch.mtia 中) (在模組 torch.xpu 中) empty_like() (在模組 torch 中) empty_strided() (在模組 torch 中) EmptyMatchError (類,在模組 torch.package 中) enable() (在模組 torch.cuda.tunable 中) (torch.sparse.check_sparse_tensor_invariants 靜態方法) enable_cuda_sanitizer() (在模組 torch.cuda._sanitizer 中) enable_cudnn_sdp() (在模組 torch.backends.cuda 中) enable_debug_mode() (torch.cuda.CUDAGraph 方法) enable_fake_mode() (在模組 torch.onnx 中) enable_fake_quant (類,在模組 torch.ao.quantization.fake_quantize 中) enable_flash_sdp() (在模組 torch.backends.cuda 中) enable_grad (類,在模組 torch 中) enable_math_sdp() (在模組 torch.backends.cuda 中) enable_mem_efficient_sdp() (在模組 torch.backends.cuda 中) enable_observer (類,在模組 torch.ao.quantization.fake_quantize 中) enable_onednn_fusion() (在模組 torch.jit 中) enabled (在模組 torch.backends.cudnn 中) (在模組 torch.backends.opt_einsum 中) EnforceUnique (類,在模組 torch.autograd.profiler 中) enter_dual_level() (在模組 torch.autograd.forward_ad 中) entr() (在模組 torch.special 中) entropy() (torch.distributions.bernoulli.Bernoulli 方法) (torch.distributions.beta.Beta 方法) (torch.distributions.binomial.Binomial 方法) (torch.distributions.categorical.Categorical 方法) (torch.distributions.cauchy.Cauchy 方法) (torch.distributions.continuous_bernoulli.ContinuousBernoulli 方法) (torch.distributions.dirichlet.Dirichlet 方法) (torch.distributions.distribution.Distribution 方法) (torch.distributions.exp_family.ExponentialFamily 方法) (torch.distributions.exponential.Exponential 方法) (torch.distributions.gamma.Gamma 方法) (torch.distributions.geometric.Geometric 方法) (torch.distributions.gumbel.Gumbel 方法) (torch.distributions.half_cauchy.HalfCauchy 方法) (torch.distributions.half_normal.HalfNormal 方法) (torch.distributions.independent.Independent 方法) (torch.distributions.inverse_gamma.InverseGamma 方法) (torch.distributions.kumaraswamy.Kumaraswamy 方法) (torch.distributions.laplace.Laplace 方法) (torch.distributions.log_normal.LogNormal 方法) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal 方法) (torch.distributions.multinomial.Multinomial 方法) (torch.distributions.multivariate_normal.MultivariateNormal 方法) (torch.distributions.normal.Normal 方法) (torch.distributions.one_hot_categorical.OneHotCategorical 方法) (torch.distributions.pareto.Pareto 方法) (torch.distributions.studentT.StudentT 方法) (torch.distributions.uniform.Uniform 方法) (torch.distributions.weibull.Weibull 方法) (torch.distributions.wishart.Wishart 方法) enumerate_support() (torch.distributions.bernoulli.Bernoulli 方法) (torch.distributions.binomial.Binomial 方法) (torch.distributions.categorical.Categorical 方法) (torch.distributions.distribution.Distribution 方法) (torch.distributions.independent.Independent 方法) (torch.distributions.one_hot_categorical.OneHotCategorical 方法) 環境變數 PYTORCH_JIT TORCH_COMPILE_JOB_ID eq() (在模組 torch 中) (torch.Tensor method) eq_() (torch.Tensor 方法) equal() (在模組 torch 中) (torch.Tensor method) EqualityConstraint (類,在模組 torch.fx.experimental.symbolic_shapes 中) erase_node() (torch.fx.Graph 方法) erase_step_count() (torch.autograd.profiler.KinetoStepTracker 類方法) erf() (在模組 torch 中) (在模組 torch.special 中) (torch.Tensor method) erf_() (torch.Tensor 方法) erfc() (在模組 torch 中) (在模組 torch.special 中) (torch.Tensor method) erfc_() (torch.Tensor 方法) erfcx() (在模組 torch.special 中) erfinv() (在模組 torch 中) (在模組 torch.special 中) (torch.Tensor method) erfinv_() (torch.Tensor 方法) ErrorHandler (類,在模組 torch.distributed.elastic.multiprocessing.errors 中) EtcdRendezvousBackend (類,在模組 torch.distributed.elastic.rendezvous.etcd_rendezvous_backend 中) EtcdRendezvousHandler (類,在模組 torch.distributed.elastic.rendezvous.etcd_rendezvous 中) EtcdServer (類,在模組 torch.distributed.elastic.rendezvous.etcd_server 中) EtcdStore (類,在模組 torch.distributed.elastic.rendezvous.etcd_store 中) eval() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) evaluate_guards_expression() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) evaluate_guards_for_args() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) evaluate_sym_node() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) evaluate_symexpr() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) Event (類,在模組 torch 中) (類,在模組 torch.cuda 中) (類,在模組 torch.distributed.elastic.events.api 中) (類,在模組 torch.monitor 中) (類,在模組 torch.mps.event 中) (類,在模組 torch.mtia 中) (類,在模組 torch.xpu 中) event_shape (torch.distributions.distribution.Distribution 屬性) EventHandlerHandle (類,在模組 torch.monitor 中) EventMetadataValue (在模組 torch.distributed.elastic.events.api 中) events() (torch.profiler._KinetoProfile 方法) EventSource (類,在模組 torch.distributed.elastic.events.api 中) exception() (torch.distributed.Work 方法) exit_dual_level() (在模組 torch.autograd.forward_ad 中) exp() (在模組 torch 中) (torch.Tensor method) exp2() (在模組 torch 中) (在模組 torch.special 中) exp_() (torch.Tensor 方法) expand() (torch.distributions.bernoulli.Bernoulli 方法) (torch.distributions.beta.Beta 方法) (torch.distributions.binomial.Binomial 方法) (torch.distributions.categorical.Categorical 方法) (torch.distributions.cauchy.Cauchy 方法) (torch.distributions.chi2.Chi2 方法) (torch.distributions.continuous_bernoulli.ContinuousBernoulli 方法) (torch.distributions.dirichlet.Dirichlet 方法) (torch.distributions.distribution.Distribution 方法) (torch.distributions.exponential.Exponential 方法) (torch.distributions.fishersnedecor.FisherSnedecor 方法) (torch.distributions.gamma.Gamma 方法) (torch.distributions.geometric.Geometric 方法) (torch.distributions.gumbel.Gumbel 方法) (torch.distributions.half_cauchy.HalfCauchy 方法) (torch.distributions.half_normal.HalfNormal 方法) (torch.distributions.independent.Independent 方法) (torch.distributions.inverse_gamma.InverseGamma 方法) (torch.distributions.kumaraswamy.Kumaraswamy 方法) (torch.distributions.laplace.Laplace 方法) (torch.distributions.lkj_cholesky.LKJCholesky 方法) (torch.distributions.log_normal.LogNormal 方法) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal 方法) (torch.distributions.mixture_same_family.MixtureSameFamily 方法) (torch.distributions.multinomial.Multinomial 方法) (torch.distributions.multivariate_normal.MultivariateNormal 方法) (torch.distributions.negative_binomial.NegativeBinomial 方法) (torch.distributions.normal.Normal 方法) (torch.distributions.one_hot_categorical.OneHotCategorical 方法) (torch.distributions.pareto.Pareto 方法) (torch.distributions.poisson.Poisson 方法) (torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli 方法) (torch.distributions.relaxed_bernoulli.RelaxedBernoulli 方法) (torch.distributions.relaxed_categorical.RelaxedOneHotCategorical 方法) (torch.distributions.studentT.StudentT 方法) (torch.distributions.transformed_distribution.TransformedDistribution 方法) (torch.distributions.uniform.Uniform 方法) (torch.distributions.von_mises.VonMises 方法) (torch.distributions.weibull.Weibull 方法) (torch.distributions.wishart.Wishart 方法) (torch.Tensor method) expand_as() (torch.Tensor 方法) expires() (在模組 torch.distributed.elastic.timer 中) expit() (在模組 torch.special 中) expm1() (在模組 torch 中) (在模組 torch.special 中) (torch.Tensor method) expm1_() (torch.Tensor 方法) Exponential (類,在模組 torch.distributions.exponential 中) exponential() (在模組 torch.signal.windows 中) exponential_() (torch.Tensor 方法) ExponentialFamily (類,在模組 torch.distributions.exp_family 中) ExponentialLR (類,在模組 torch.optim.lr_scheduler 中) export() (在模組 torch.export 中) (在模組 torch.jit 中) (在模組 torch.onnx 中) export_chrome_trace() (torch.autograd.profiler.profile 方法) (torch.profiler._KinetoProfile 方法) export_memory_timeline() (torch.profiler._KinetoProfile 方法) export_stacks() (torch.profiler._KinetoProfile 方法) ExportBackwardSignature (類,在模組 torch.export 中) ExportedProgram (類,在模組 torch.export 中) ExportGraphSignature (類,在模組 torch.export 中) (類,在模組 torch.export.graph_signature 中) ExportOptions (類,在模組 torch.onnx 中) ExpTransform (類,在模組 torch.distributions.transforms 中) extend() (torch.nn.ModuleList 方法) (torch.nn.ParameterList method) extend_logger_results_with_comparison() (在模組 torch.ao.ns._numeric_suite_fx 中) extend_results() (torch.utils.benchmark.Compare 方法) extern() (torch.package.PackageExporter 方法) ExternalStream (類,在模組 torch.cuda 中) externed_modules() (torch.package.PackageExporter 方法) extra_repr() (torch.ao.quantization.fake_quantize.FixedQParamsFakeQuantize 方法) (torch.jit.ScriptModule method) (torch.nn.Module method) (torch.nn.modules.normalization.RMSNorm 方法) (torch.nn.RMSNorm 方法) (torch.optim.swa_utils.AveragedModel method) extract_logger_info() (在模組 torch.ao.ns._numeric_suite_fx 中) extract_results_from_loggers (類,在模組 torch.ao.quantization 中) extract_results_n_shadows_model() (在 torch.ao.ns._numeric_suite_fx 模組中) extract_shadow_logger_info() (在 torch.ao.ns._numeric_suite_fx 模組中) extract_weights() (在 torch.ao.ns._numeric_suite_fx 模組中) eye() (在 torch 模組中) eye_() (在 torch.nn.init 模組中) F fake_quantize_per_channel_affine() (在 torch 模組中) fake_quantize_per_tensor_affine() (在 torch 模組中) FakeQuantize (在 torch.ao.quantization.fake_quantize 中的類) FakeQuantizeBase (在 torch.ao.quantization.fake_quantize 中的類) fallback() (torch.library.Library 方法) fallthrough_kernel() (在 torch.library 模組中) fast_forward() (torch.quasirandom.SobolEngine 方法) feature_alpha_dropout() (在 torch.nn.functional 模組中) FeatureAlphaDropout (在 torch.nn 中的類) fetch_args_kwargs_from_env() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts 方法) (torch.fx.Interpreter method) fetch_attr() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts 方法) (torch.fx.Interpreter method) fft() (在 torch.fft 模組中) fft2() (在 torch.fft 模組中) fftfreq() (在 torch.fft 模組中) fftn() (在 torch.fft 模組中) fftshift() (在 torch.fft 模組中) file_structure() (torch.package.PackageImporter 方法) filename (torch.TypedStorage 屬性) (torch.UntypedStorage 屬性) FileStore (在 torch.distributed 中的類) FileSystemReader (在 torch.distributed.checkpoint 中的類) FileSystemWriter (在 torch.distributed.checkpoint 中的類) FileTimerClient (在 torch.distributed.elastic.timer 中的類) FileTimerServer (在 torch.distributed.elastic.timer 中的類) fill_() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) fill_diagonal_() (torch.Tensor 方法) fill_uninitialized_memory (在 torch.utils.deterministic 模組中) filter() (torch.utils.benchmark.FunctionCounts 方法) find_mismatch() (在 torch.onnx.verification 模組中) find_nodes() (torch.fx.Graph 方法) finish() (torch.distributed.checkpoint.StorageWriter 方法) finish_plan() (torch.distributed.checkpoint.LoadPlanner 方法) (torch.distributed.checkpoint.SavePlanner 方法) FisherSnedecor (在 torch.distributions.fishersnedecor 中的類) fix() (在 torch 模組中) (torch.Tensor method) fix_() (torch.Tensor 方法) FixedQParamsFakeQuantize (在 torch.ao.quantization.fake_quantize 中的類) flags() (在 torch.backends.nnpack 模組中) flash_sdp_enabled() (在 torch.backends.cuda 模組中) FlatArgsAdapter (在 torch.export.unflatten 中的類) Flatten (在 torch.nn 中的類) flatten() (在 torch 模組中) (torch.Tensor method) flatten_parameters() (torch.nn.RNNBase 方法) flatten_sharded_optim_state_dict() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) flex_attention() (在 torch.nn.attention.flex_attention 模組中) flip() (在 torch 模組中) (torch.Tensor method) fliplr() (在 torch 模組中) (torch.Tensor method) flipud() (在 torch 模組中) (torch.Tensor method) float() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) float16_dynamic_qconfig (在 torch.ao.quantization.qconfig 模組中) float16_static_qconfig (在 torch.ao.quantization.qconfig 模組中) float8_e4m3fn() (torch.TypedStorage 方法) (torch.UntypedStorage method) float8_e4m3fnuz() (torch.TypedStorage 方法) (torch.UntypedStorage method) float8_e5m2() (torch.TypedStorage 方法) (torch.UntypedStorage method) float8_e5m2fnuz() (torch.TypedStorage 方法) (torch.UntypedStorage method) float_power() (在 torch 模組中) (torch.Tensor method) float_power_() (torch.Tensor 方法) float_qparams_weight_only_qconfig (在 torch.ao.quantization.qconfig 模組中) FloatFunctional (在 torch.ao.nn.quantized 中的類) FloatStorage (在 torch 中的類) floor() (在 torch 模組中) (torch.Tensor method) floor_() (torch.Tensor 方法) floor_divide() (在 torch 模組中) (torch.Tensor method) floor_divide_() (torch.Tensor 方法) flush() (torch.utils.tensorboard.writer.SummaryWriter 方法) fmax() (在 torch 模組中) (torch.Tensor method) fmin() (在 torch 模組中) (torch.Tensor method) fmod() (在 torch 模組中) (torch.Tensor method) fmod_() (torch.Tensor 方法) Fold (在 torch.nn 中的類) fold() (在 torch.nn.functional 模組中) forced_specializations() (torch.fx.experimental.symbolic_shapes.DimConstraints 方法) fork() (在 torch.jit 模組中) fork_rng() (在 torch.random 模組中) format_guards() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) format_node() (torch.fx.Node 方法) forward() (torch.ao.nn.quantizable.MultiheadAttention 方法) (torch.ao.ns._numeric_suite.Logger 方法) (torch.ao.ns._numeric_suite.OutputLogger 方法) (torch.ao.ns._numeric_suite.Shadow method) (torch.ao.ns._numeric_suite.ShadowLogger 方法) (torch.ao.ns._numeric_suite_fx.OutputComparisonLogger 方法) (torch.ao.ns._numeric_suite_fx.OutputLogger 方法) (torch.ao.quantization.observer.AffineQuantizedObserverBase 方法) (torch.ao.quantization.observer.MinMaxObserver method) (torch.autograd.Function static method) (torch.autograd.function.InplaceFunction static method) (torch.autograd.function.NestedIOFunction method) (torch.distributed.fsdp.FullyShardedDataParallel method) (torch.nn.EmbeddingBag 方法) (torch.nn.Module method) (torch.nn.modules.normalization.RMSNorm 方法) (torch.nn.MultiheadAttention 方法) (torch.nn.RMSNorm 方法) (torch.nn.Transformer 方法) (torch.nn.TransformerDecoder 方法) (torch.nn.TransformerDecoderLayer 方法) (torch.nn.TransformerEncoder 方法) (torch.nn.TransformerEncoderLayer 方法) (torch.optim.swa_utils.AveragedModel method) forward_extended() (torch.autograd.function.NestedIOFunction 方法) forward_shape() (torch.distributions.transforms.Transform 方法) fp16_bf16_reduction_math_sdp_allowed() (在 torch.backends.cuda 模組中) fp16_compress_hook() (在 torch.distributed.algorithms.ddp_comm_hooks.default_hooks 模組中) fp16_compress_wrapper() (在 torch.distributed.algorithms.ddp_comm_hooks.default_hooks 模組中) frac() (在 torch 模組中) (torch.Tensor method) frac_() (torch.Tensor 方法) fractional_max_pool2d() (在 torch.nn.functional 模組中) fractional_max_pool3d() (在 torch.nn.functional 模組中) FractionalMaxPool2d (在 torch.nn 中的類) FractionalMaxPool3d (在 torch.nn 中的類) freeze() (在 torch.jit 模組中) (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) freeze_bn_stats (在 torch.ao.nn.intrinsic.qat 中的類) freeze_runtime_asserts() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) frexp() (在 torch 模組中) (torch.Tensor method) from_backend() (torch.distributed.elastic.rendezvous.dynamic_rendezvous.DynamicRendezvousHandler 類方法) from_buffer() (torch.TypedStorage 類方法) (torch.UntypedStorage 靜態方法) from_dict() (torch.ao.quantization.backend_config.BackendConfig 類方法) (torch.ao.quantization.backend_config.BackendPatternConfig 類方法) (torch.ao.quantization.backend_config.DTypeConfig 類方法) (torch.ao.quantization.fx.custom_config.ConvertCustomConfig 類方法) (torch.ao.quantization.fx.custom_config.FuseCustomConfig 類方法) (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 類方法) (torch.ao.quantization.qconfig_mapping.QConfigMapping 類方法) from_dlpack() (在 torch 模組中) (在 torch.utils.dlpack 模組中) from_dtype() (torch.onnx.JitScalarType 類方法) from_file() (在 torch 模組中) (torch.TypedStorage 類方法) (torch.UntypedStorage 靜態方法) from_float() (torch.ao.nn.qat.Linear 類方法) (torch.ao.nn.quantized.Conv1d 類方法) (torch.ao.nn.quantized.Conv2d 類方法) (torch.ao.nn.quantized.Conv3d 類方法) (torch.ao.nn.quantized.dynamic.Linear 類方法) (torch.ao.nn.quantized.Embedding 類方法) (torch.ao.nn.quantized.EmbeddingBag 類方法) (torch.ao.nn.quantized.Linear 類方法) from_group() (torch.distributed.device_mesh.DeviceMesh 靜態方法) from_ipc_handle() (torch.cuda.Event 類方法) from_kv_blocks() (torch.nn.attention.flex_attention.BlockMask 類方法) from_local() (torch.distributed.tensor.DTensor 靜態方法) from_numpy() (在 torch 模組中) from_onnx_type() (torch.onnx.JitScalarType 類方法) from_pretrained() (torch.nn.Embedding 類方法) (torch.nn.EmbeddingBag 類方法) from_reference() (torch.ao.nn.quantized.dynamic.Linear 類方法) (torch.ao.nn.quantized.Linear 類方法) from_tensors() (torch.onnx.verification.VerificationInfo 類方法) from_value() (torch.onnx.JitScalarType 類方法) frombuffer() (在 torch 模組中) fromkeys() (torch.autograd.profiler_util.StringTable 方法) (torch.nn.ParameterDict 方法) fsdp_modules() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) FSDPModule (在 torch.distributed.fsdp 中的類) full() (在 torch 模組中) (在模組 torch.distributed.tensor 中) full_kv_indices (torch.nn.attention.flex_attention.BlockMask 屬性) full_kv_num_blocks (torch.nn.attention.flex_attention.BlockMask 屬性) full_like() (在 torch 模組中) full_optim_state_dict() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) full_q_indices (torch.nn.attention.flex_attention.BlockMask 屬性) full_q_num_blocks (torch.nn.attention.flex_attention.BlockMask 屬性) full_tensor() (torch.distributed.tensor.DTensor 方法) FullOptimStateDictConfig (在 torch.distributed.fsdp 中的類) FullStateDictConfig (在 torch.distributed.fsdp 中的類) fully_shard() (在 torch.distributed.fsdp 模組中) FullyShardedDataParallel (在 torch.distributed.fsdp 中的類) Function (在 torch.autograd 中的類) functional_call() (在 torch.func 模組中) (在 torch.nn.utils.stateless 模組中) functionalize() (在 torch.func 模組中) FunctionCounts (在 torch.utils.benchmark 中的類) fuse_conv_bn_eval() (在 torch.nn.utils 模組中) fuse_conv_bn_weights() (在 torch.nn.utils 模組中) fuse_fx (在 torch.ao.quantization.quantize_fx 中的類) fuse_linear_bn_eval() (在 torch.nn.utils 模組中) fuse_linear_bn_weights() (在 torch.nn.utils 模組中) fuse_modules (在 torch.ao.quantization.fuse_modules 中的類) FuseCustomConfig (在 torch.ao.quantization.fx.custom_config 中的類) FusedMovingAvgObsFakeQuantize (在 torch.ao.quantization.fake_quantize 中的類) Future (在 torch.futures 中的類) FXFloatFunctional (在 torch.ao.nn.quantized 中的類) G Gamma (在 torch.distributions.gamma 中的類) gammainc() (在 torch.special 模組中) gammaincc() (在 torch.special 模組中) gammaln() (在 torch.special 模組中) gather() (在 torch 模組中) (在 torch.cuda.comm 模組中) (in module torch.distributed) (torch.Tensor method) gather_object() (在 torch.distributed 模組中) gaussian() (在 torch.signal.windows 模組中) gaussian_nll_loss() (在 torch.nn.functional 模組中) GaussianNLLLoss (在 torch.nn 中的類) gcd() (在 torch 模組中) (torch.Tensor method) gcd_() (torch.Tensor 方法) gds_deregister_buffer() (在 torch.cuda.gds 模組中) gds_register_buffer() (在 torch.cuda.gds 模組中) GdsFile (在 torch.cuda.gds 中的類) ge() (在 torch 模組中) (torch.Tensor method) ge_() (torch.Tensor 方法) GELU (在 torch.nn 中的類) gelu() (在 torch.nn.functional 模組中) general_cosine() (在 torch.signal.windows 模組中) general_hamming() (在 torch.signal.windows 模組中) generate_comm_debug_tracing_table() (torch.distributed.tensor.debug.CommDebugMode 方法) generate_json_dump() (torch.distributed.tensor.debug.CommDebugMode 方法) generate_methods_for_privateuse1_backend() (在 torch.utils 模組中) generate_numeric_debug_handle (在 torch.ao.quantization 中的類) generate_square_subsequent_mask() (torch.nn.Transformer 靜態方法) Generator (在 torch 中的類) Geometric (在 torch.distributions.geometric 中的類) geometric_() (torch.Tensor 方法) geqrf() (在 torch 模組中) (torch.Tensor method) ger() (在 torch 模組中) (torch.Tensor method) get() (torch.autograd.profiler_util.StringTable 方法) (torch.distributed.elastic.rendezvous.etcd_store.EtcdStore method) (torch.distributed.elastic.rendezvous.RendezvousParameters 方法) (torch.distributed.Store method) (torch.fx.experimental.symbolic_shapes.CallMethodKey 方法) (torch.fx.experimental.symbolic_shapes.ConvertIntKey 方法) (torch.fx.experimental.symbolic_shapes.DivideByKey 方法) (torch.fx.experimental.symbolic_shapes.InnerTensorKey 方法) (torch.monitor.Stat method) (torch.nn.ParameterDict 方法) get_all_groups() (torch.distributed.device_mesh.DeviceMesh 方法) get_all_sharing_strategies() (在 torch.multiprocessing 模組中) get_allocator_backend() (在 torch.cuda 模組中) get_arch_list() (在 torch.cuda 模組中) (在模組 torch.xpu 中) get_as_bool() (torch.distributed.elastic.rendezvous.RendezvousParameters 方法) get_as_int() (torch.distributed.elastic.rendezvous.RendezvousParameters 方法) get_attr() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts 方法) (torch.fx.Graph method) (torch.fx.Interpreter method) (torch.fx.Transformer method) get_axioms() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) get_backend() (在 torch.distributed 模組中) (torch.distributed.elastic.rendezvous.RendezvousHandler 方法) get_block_size (在 torch.ao.quantization.observer 中的類) get_buffer() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) get_comm_counts() (torch.distributed.tensor.debug.CommDebugMode 方法) get_compiler_abi_compatibility_and_version() (在 torch.utils.cpp_extension 模組中) get_coordinate() (torch.distributed.device_mesh.DeviceMesh 方法) get_cpp_backtrace() (在 torch.utils 模組中) get_cpu_capability() (在 torch.backends.cpu 模組中) get_crc32_options() (在 torch.serialization 模組中) get_ctx() (在 torch.library 模組中) get_debug_state() (torch.jit.ScriptFunction 方法) get_default_device() (在 torch 模組中) get_default_dtype() (在 torch 模組中) get_default_load_endianness() (在 torch.serialization 模組中) get_default_mmap_options() (在 torch.serialization 模組中) get_default_qat_qconfig_mapping (在 torch.ao.quantization.qconfig_mapping 中的類) get_default_qconfig_mapping (在 torch.ao.quantization.qconfig_mapping 中的類) get_deterministic_debug_mode() (在 torch 模組中) get_device() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) get_device_capability() (在 torch.cuda 模組中) (在模組 torch.mtia 中) (在模組 torch.xpu 中) get_device_module() (在 torch 模組中) get_device_name() (在 torch.cuda 模組中) (在模組 torch.xpu 中) get_device_properties() (在 torch.cuda 模組中) (在模組 torch.xpu 中) get_dir() (在 torch.hub 模組中) get_ema_multi_avg_fn() (在 torch.optim.swa_utils 模組中) get_entrypoint_name() (torch.distributed.elastic.agent.server.WorkerSpec 方法) get_expired_timers() (torch.distributed.elastic.timer.TimerServer 方法) get_extra_state() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) get_fastpath_enabled() (在 torch.backends.mha 模組中) get_filename() (在 torch.cuda.tunable 模組中) get_float32_matmul_precision() (在 torch 模組中) get_fresh_qualname() (torch.fx.Tracer 方法) get_future() (torch.distributed.Work 方法) get_future_result() (torch.distributed.Work 方法) get_gencode_flags() (在 torch.cuda 模組中) (在模組 torch.xpu 中) get_global_rank() (在 torch.distributed 模組中) get_gradient_edge() (在 torch.autograd.graph 模組中) get_gradients() (在 torch.distributed.autograd 模組中) get_group() (torch.distributed.device_mesh.DeviceMesh 方法) get_group_rank() (在 torch.distributed 模組中) get_ignored_functions() (在 torch.overrides 模組中) get_implications() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) get_last_lr() (torch.optim.lr_scheduler.ChainedScheduler 方法) (torch.optim.lr_scheduler.ConstantLR 方法) (torch.optim.lr_scheduler.CosineAnnealingLR 方法) (torch.optim.lr_scheduler.CosineAnnealingWarmRestarts 方法) (torch.optim.lr_scheduler.CyclicLR 方法) (torch.optim.lr_scheduler.ExponentialLR 方法) (torch.optim.lr_scheduler.LambdaLR 方法) (torch.optim.lr_scheduler.LinearLR 方法) (torch.optim.lr_scheduler.LRScheduler 方法) (torch.optim.lr_scheduler.MultiplicativeLR 方法) (torch.optim.lr_scheduler.MultiStepLR 方法) (torch.optim.lr_scheduler.OneCycleLR 方法) (torch.optim.lr_scheduler.PolynomialLR 方法) (torch.optim.lr_scheduler.ReduceLROnPlateau 方法) (torch.optim.lr_scheduler.SequentialLR 方法) (torch.optim.lr_scheduler.StepLR 方法) (torch.optim.swa_utils.SWALR 方法) get_local_rank() (torch.distributed.device_mesh.DeviceMesh 方法) get_logger_dict() (在 torch.ao.ns._numeric_suite 模組中) get_logging_handler() (在 torch.distributed.elastic.events 模組中) get_lr() (torch.optim.lr_scheduler.ChainedScheduler 方法) (torch.optim.lr_scheduler.ConstantLR 方法) (torch.optim.lr_scheduler.CosineAnnealingLR 方法) (torch.optim.lr_scheduler.CosineAnnealingWarmRestarts 方法) (torch.optim.lr_scheduler.CyclicLR 方法) (torch.optim.lr_scheduler.ExponentialLR 方法) (torch.optim.lr_scheduler.LambdaLR 方法) (torch.optim.lr_scheduler.LinearLR 方法) (torch.optim.lr_scheduler.LRScheduler 方法) (torch.optim.lr_scheduler.MultiplicativeLR 方法) (torch.optim.lr_scheduler.MultiStepLR 方法) (torch.optim.lr_scheduler.OneCycleLR 方法) (torch.optim.lr_scheduler.PolynomialLR 方法) (torch.optim.lr_scheduler.ReduceLROnPlateau 方法) (torch.optim.lr_scheduler.SequentialLR 方法) (torch.optim.lr_scheduler.StepLR 方法) (torch.optim.swa_utils.SWALR 方法) get_matching_activations() (在 torch.ao.ns._numeric_suite 模組中) get_max_tuning_duration() (在 torch.cuda.tunable 模組中) get_max_tuning_iterations() (在 torch.cuda.tunable 模組中) get_model_state_dict() (在 torch.distributed.checkpoint.state_dict 模組中) get_module_rref() (torch.distributed.nn.api.remote_module.RemoteModule 方法) get_nontrivial_guards() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) get_num_interop_threads() (在 torch 模組中) get_num_threads() (在 torch 模組中) get_observer_state_dict (在 torch.ao.quantization.observer 中的類) get_op_functions() (torch.onnx.OnnxRegistry 方法) get_opt_einsum() (在 torch.backends.opt_einsum 模組中) get_optimizer_state_dict() (在 torch.distributed.checkpoint.state_dict 模組中) get_overridable_functions() (在 torch.overrides 模組中) get_overwrite_module_params_on_conversion() (在 torch.__future__ 模組中) get_parameter() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) get_parameter_info() (torch.distributed.tensor.debug.CommDebugMode 方法) get_per_process_memory_fraction() (在 torch.cuda 模組中) get_process_group_ranks() (在 torch.distributed 模組中) get_proxy_mode() (在 torch.fx.experimental.proxy_tensor 模組中) get_pruned_guards() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) get_rank() (在 torch.distributed 模組中) (torch.distributed.device_mesh.DeviceMesh 方法) get_rdeps() (torch.package.PackageExporter 方法) get_replace_hook() (torch.export.graph_signature.ExportGraphSignature 方法) get_results() (在 torch.cuda.tunable 模組中) get_rng_state() (在 torch 模組中) (在模組 torch.cuda 中) (在模組 torch.mps 中) (在模組 torch.mtia 中) (在 torch.random 模組中) (在模組 torch.xpu 中) get_rng_state_all() (在 torch.cuda 模組中) (在模組 torch.xpu 中) get_rotating_buffer_size() (在 torch.cuda.tunable 模組中) get_run_id() (torch.distributed.elastic.rendezvous.RendezvousHandler 方法) get_safe_globals() (在 torch.serialization 模組中) get_sharding_info() (torch.distributed.tensor.debug.CommDebugMode 方法) get_sharing_strategy() (在 torch.multiprocessing 模組中) get_state() (torch.distributed.elastic.rendezvous.c10d_rendezvous_backend.C10dRendezvousBackend 方法) (torch.distributed.elastic.rendezvous.dynamic_rendezvous.RendezvousBackend 方法) (torch.distributed.elastic.rendezvous.etcd_rendezvous_backend.EtcdRendezvousBackend 方法) (torch.Generator 方法) get_state_dict() (在 torch.distributed.checkpoint.state_dict 模組中) get_state_dict_type() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) get_stream_from_external() (在 torch.cuda 模組中) (在模組 torch.xpu 中) get_submodule() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) get_subprocess_handler() (在 torch.distributed.elastic.multiprocessing.subprocess_handler.handlers 模組中) get_swap_module_params_on_conversion() (在 torch.__future__ 模組中) get_sync_debug_mode() (在 torch.cuda 模組中) get_testing_overrides() (在 torch.overrides 模組中) get_total_counts() (torch.distributed.tensor.debug.CommDebugMode 方法) get_total_norm() (在 torch.nn.utils 模組中) get_trace_id() (torch.profiler.profile 方法) get_unique_id() (torch.package.PackageExporter 方法) get_unsafe_globals_in_checkpoint() (在 torch.serialization 模組中) get_validators() (在 torch.cuda.tunable 模組中) get_worker_group() (torch.distributed.elastic.agent.server.ElasticAgent 方法) get_worker_info() (在 torch.distributed.rpc 模組中) (在 torch.utils.data 模組中) get_world_size() (在 torch.distributed 模組中) getattr() (torch.fx.Tracer 方法) global_unstructured() (在 torch.nn.utils.prune 模組中) GLU (在 torch.nn 中的類) glu() (在 torch.nn.functional 模組中) grad (torch.Tensor 屬性) grad() (在 torch.autograd 模組中) (在 torch.func 模組中) grad_and_value() (在 torch.func 模組中) GradBucket (在 torch.distributed 中的類) gradcheck() (在 torch.autograd.gradcheck 模組中) GradcheckError gradgradcheck() (在 torch.autograd.gradcheck 模組中) gradient() (在 torch 模組中) GradientEdge (在 torch.autograd.graph 中的類) gradients() (在 torch.distributed.GradBucket 模組中) GradScaler (在 torch.cpu.amp 中的類) (class in torch.cuda.amp) Granularity (在 torch.ao.quantization.observer 中的類) graph (在 torch.cuda 中的類) Graph (在 torch.fx 中的類) graph (torch.fx.GraphModule 屬性) (torch.jit.ScriptModule 屬性) graph_copy() (torch.fx.Graph 方法) graph_pool_handle() (在 torch.cuda 模組中) GraphInfo (在 torch.onnx.verification 中的類) GraphInfoPrettyPrinter (在 torch.onnx.verification 中的類) GraphModule (在 torch.fx 中的類) graphsafe_get_state() (torch.Generator 方法) graphsafe_set_state() (torch.Generator 方法) greater() (在 torch 模組中) (torch.Tensor method) greater_() (torch.Tensor 方法) greater_equal() (在 torch 模組中) (torch.Tensor method) greater_equal_() (torch.Tensor 方法) greater_than (在 torch.distributions.constraints 模組中) greater_than_eq (在 torch.distributions.constraints 模組中) grid_sample() (在 torch.nn.functional 模組中) group_norm() (在 torch.nn.functional 模組中) GroupNorm (在 torch.ao.nn.quantized 中的類) (class in torch.nn) GRU (在 torch.ao.nn.quantized.dynamic 中的類) (class in torch.nn) GRUCell (在 torch.ao.nn.quantized.dynamic 中的類) (class in torch.nn) gt() (在 torch 模組中) (torch.Tensor method) gt_() (torch.Tensor 方法) guard_size_oblivious() (在 torch.fx.experimental.symbolic_shapes 模組中) Gumbel (在 torch.distributions.gumbel 中的類) gumbel_softmax() (在 torch.nn.functional 模組中) H H (torch.Tensor 屬性) half() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) half_open_interval (在 torch.distributions.constraints 模組中) HalfCauchy (在 torch.distributions.half_cauchy 中的類) HalfNormal (在 torch.distributions.half_normal 中的類) HalfStorage (在 torch 中的類) hamming() (在 torch.signal.windows 模組中) hamming_window() (在 torch 模組中) handle_sym_dispatch() (在 torch.fx.experimental.proxy_tensor 模組中) handle_torch_function() (在 torch.overrides 模組中) hann() (在 torch.signal.windows 模組中) hann_window() (在 torch 模組中) Hardshrink (在 torch.nn 中的類) hardshrink() (在 torch.nn.functional 模組中) (torch.Tensor method) hardsigmoid (在 torch.ao.nn.quantized.functional 中的類) Hardsigmoid (在 torch.nn 中的類) hardsigmoid() (在 torch.nn.functional 模組中) Hardswish (在 torch.ao.nn.quantized 中的類) hardswish (在 torch.ao.nn.quantized.functional 中的類) Hardswish (在 torch.nn 中的類) hardswish() (在 torch.nn.functional 模組中) hardtanh (在 torch.ao.nn.quantized.functional 中的類) Hardtanh (在 torch.nn 中的類) hardtanh() (在 torch.nn.functional 模組中) hardtanh_() (在 torch.nn.functional 模組中) has_enumerate_support (torch.distributions.bernoulli.Bernoulli 屬性) (torch.distributions.binomial.Binomial attribute) (torch.distributions.categorical.Categorical attribute) (torch.distributions.independent.Independent 屬性) (torch.distributions.one_hot_categorical.OneHotCategorical attribute) has_extended_api() (torch.distributed.Store 方法) has_file() (torch.package.Directory 方法) has_free_symbols() (在 torch.fx.experimental.symbolic_shapes 模組中) has_free_unbacked_symbols() (在 torch.fx.experimental.symbolic_shapes 模組中) has_rsample (torch.distributions.beta.Beta 屬性) (torch.distributions.cauchy.Cauchy attribute) (torch.distributions.continuous_bernoulli.ContinuousBernoulli attribute) (torch.distributions.dirichlet.Dirichlet attribute) (torch.distributions.exponential.Exponential attribute) (torch.distributions.fishersnedecor.FisherSnedecor attribute) (torch.distributions.gamma.Gamma attribute) (torch.distributions.half_cauchy.HalfCauchy attribute) (torch.distributions.half_normal.HalfNormal attribute) (torch.distributions.independent.Independent 屬性) (torch.distributions.inverse_gamma.InverseGamma attribute) (torch.distributions.kumaraswamy.Kumaraswamy attribute) (torch.distributions.laplace.Laplace attribute) (torch.distributions.log_normal.LogNormal attribute) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal attribute) (torch.distributions.mixture_same_family.MixtureSameFamily attribute) (torch.distributions.multivariate_normal.MultivariateNormal attribute) (torch.distributions.normal.Normal attribute) (torch.distributions.relaxed_bernoulli.RelaxedBernoulli attribute) (torch.distributions.relaxed_categorical.RelaxedOneHotCategorical attribute) (torch.distributions.studentT.StudentT attribute) (torch.distributions.transformed_distribution.TransformedDistribution 屬性) (torch.distributions.uniform.Uniform attribute) (torch.distributions.von_mises.VonMises attribute) (torch.distributions.wishart.Wishart attribute) has_torch_function() (在 torch.overrides 模組中) has_uninitialized_params() (torch.nn.modules.lazy.LazyModuleMixin 方法) HashStore (在 torch.distributed 中的類) HealthCheckServer (在 torch.distributed.elastic.agent.server.health_check_server 中的類) heartbeat (torch.distributed.elastic.rendezvous.dynamic_rendezvous.RendezvousTimeout 屬性) heaviside() (在 torch 模組中) (torch.Tensor method) help() (在 torch.hub 模組中) hessian() (在 torch.autograd.functional 模組中) (在 torch.func 模組中) hex() (torch.SymFloat 方法) hfft() (在 torch.fft 模組中) hfft2() (在 torch.fft 模組中) hfftn() (在 torch.fft 模組中) highlight_warnings() (torch.utils.benchmark.Compare 方法) hinge_embedding_loss() (在 torch.nn.functional 模組中) HingeEmbeddingLoss (在 torch.nn 中的類) hint_int() (在 torch.fx.experimental.symbolic_shapes 模組中) histc() (在 torch 模組中) (torch.Tensor method) histogram() (在 torch 模組中) (torch.Tensor method) histogramdd() (在 torch 模組中) HistogramObserver (在 torch.ao.quantization.observer 中的類) host (torch.distributed.TCPStore 屬性) host_memory_stats() (在 torch.cuda 模組中) householder_product() (在 torch.linalg 模組中) hpu() (torch.TypedStorage 方法) (torch.UntypedStorage method) hsplit() (在 torch 模組中) (torch.Tensor method) hspmm() (在 torch 模組中) hstack() (在 torch 模組中) huber_loss() (在 torch.nn.functional 模組中) HuberLoss (在 torch.nn 中的類) hvp() (在 torch.autograd.functional 模組中) hypot() (在 torch 模組中) (torch.Tensor method) hypot_() (torch.Tensor 方法) I i0() (在 torch 模組中) (在模組 torch.special 中) (torch.Tensor method) i0_() (torch.Tensor 方法) i0e() (在 torch.special 模組中) i1() (在 torch.special 模組中) i1e() (在 torch.special 模組中) icdf() (torch.distributions.cauchy.Cauchy 方法) (torch.distributions.continuous_bernoulli.ContinuousBernoulli 方法) (torch.distributions.distribution.Distribution 方法) (torch.distributions.exponential.Exponential 方法) (torch.distributions.half_cauchy.HalfCauchy 方法) (torch.distributions.half_normal.HalfNormal 方法) (torch.distributions.laplace.Laplace 方法) (torch.distributions.normal.Normal 方法) (torch.distributions.transformed_distribution.TransformedDistribution 方法) (torch.distributions.uniform.Uniform 方法) id (torch.cuda.MemPool 屬性) (torch.distributed.rpc.WorkerInfo 屬性) id() (torch.package.PackageImporter 方法) Identity (在 torch.nn 中的類) (在 torch.nn.utils.prune 中的類) identity() (在 torch.nn.utils.prune 模組中) ifft() (在 torch.fft 模組中) ifft2() (在 torch.fft 模組中) ifftn() (在 torch.fft 模組中) ifftshift() (在 torch.fft 模組中) igamma() (在 torch 模組中) (torch.Tensor method) igamma_() (torch.Tensor 方法) igammac() (在 torch 模組中) (torch.Tensor method) igammac_() (torch.Tensor 方法) ignore() (在 torch.jit 模組中) ignore_fresh_unbacked_symbols() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) ihfft() (在 torch.fft 模組中) ihfft2() (在 torch.fft 模組中) ihfftn() (在 torch.fft 模組中) imag (torch.Tensor 屬性) imag() (在 torch 模組中) impl() (在 torch.library 模組中) (torch.library.Library 方法) impl_abstract() (在 torch.library 模組中) import_module() (torch.package.PackageImporter 方法) in_interval() (torch.autograd.profiler_util.MemRecordsAcc 方法) include_paths() (在 torch.utils.cpp_extension 模組中) increment_step() (torch.autograd.profiler.KinetoStepTracker 類方法) increment_version() (在 torch.autograd.graph 模組中) Independent (在 torch.distributions.independent 中的類) independent (在 torch.distributions.constraints 模組中) IndependentTransform (在 torch.distributions.transforms 中的類) index() (在 torch.distributed.GradBucket 模組中) (torch.autograd.forward_ad.UnpackedDualTensor 方法) (torch.autograd.profiler_util.Kernel 方法) (torch.jit.Attribute 方法) (torch.nn.utils.rnn.PackedSequence 方法) (torch.Size 方法) index_add() (在 torch 模組中) (torch.Tensor method) index_add_() (torch.Tensor 方法) index_copy() (在 torch 模組中) (torch.Tensor method) index_copy_() (torch.Tensor 方法) index_fill() (torch.Tensor 方法) index_fill_() (torch.Tensor 方法) index_put() (torch.Tensor 方法) index_put_() (torch.Tensor 方法) index_reduce() (在 torch 模組中) (torch.Tensor method) index_reduce_() (torch.Tensor 方法) index_select() (在 torch 模組中) (torch.Tensor method) indices() (torch.Tensor 方法) infer_schema() (在 torch.library 模組中) inference_mode (在 torch.autograd.grad_mode 中的類) init() (在 torch.cuda 模組中) (在模組 torch.mtia 中) (在模組 torch.xpu 中) init_device_mesh() (在 torch.distributed.device_mesh 模組中) init_method (torch.distributed.rpc.RpcBackendOptions 屬性) (torch.distributed.rpc.TensorPipeRpcBackendOptions 屬性) init_process_group() (在 torch.distributed 模組中) init_rpc() (在 torch.distributed.rpc 模組中) init_step_count() (torch.autograd.profiler.KinetoStepTracker 類方法) initial_seed() (在 torch 模組中) (在模組 torch.cuda 中) (在 torch.random 模組中) (在模組 torch.xpu 中) (torch.Generator 方法) initialize_inference_session() (torch.onnx.ONNXProgram 方法) initialize_parameters() (torch.nn.modules.lazy.LazyModuleMixin 方法) inlined_graph (torch.jit.ScriptModule 屬性) inner() (在 torch 模組中) (torch.Tensor method) InnerTensorKey (在 torch.fx.experimental.symbolic_shapes 中的類) InplaceFunction (在 torch.autograd.function 中的類) INPUT_OUTPUT_NOT_OBSERVED (torch.ao.quantization.backend_config.ObservationType 屬性) InputKind (在 torch.export.graph_signature 中的類) InputSpec (在 torch.export.graph_signature 中的類) insert() (torch.nn.ModuleList 方法) insert_arg() (torch.fx.Node 方法) inserting_after() (torch.fx.Graph 方法) inserting_before() (torch.fx.Graph 方法) instance_norm() (在 torch.nn.functional 模組中) InstanceNorm1d (在 torch.ao.nn.quantized 中的類) (class in torch.nn) InstanceNorm2d (在 torch.ao.nn.quantized 中的類) (class in torch.nn) InstanceNorm3d (在 torch.ao.nn.quantized 中的類) (class in torch.nn) int() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) int_repr() (torch.Tensor 方法) integer_interval (在 torch.distributions.constraints 模組中) interface() (在 torch.jit 模組中) intern() (torch.package.PackageExporter 方法) interned_modules() (torch.package.PackageExporter 方法) interpolate (在 torch.ao.nn.quantized.functional 中的類) interpolate() (在 torch.nn.functional 模組中) Interpreter (在 torch.fx 中的類) InterpreterModule (在 torch.export.unflatten 中的類) InterpreterModuleDispatcher (在 torch.export.unflatten 中的類) Interval (在 torch.autograd.profiler_util 中的類) interval (在 torch.distributions.constraints 模組中) IntStorage (在 torch 中的類) inv (torch.distributions.transforms.Transform 屬性) inv() (在 torch.linalg 模組中) inv_ex() (在 torch.linalg 模組中) inverse() (在 torch 模組中) (torch.Tensor method) inverse_shape() (torch.distributions.transforms.Transform 方法) InverseGamma (在 torch.distributions.inverse_gamma 中的類) ipc_collect() (在 torch.cuda 模組中) ipc_handle() (torch.cuda.Event 方法) ipu() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) irecv() (在 torch.distributed 模組中) irfft() (在 torch.fft 模組中) irfft2() (在 torch.fft 模組中) irfftn() (在 torch.fft 模組中) is_accessor_node() (在 torch.fx.experimental.symbolic_shapes 模組中) is_autocast_available() (在 torch.amp.autocast_mode 模組中) is_available() (在 torch.accelerator 模組中) (in module torch.backends.cudnn) (在 torch.backends.cusparselt 模組中) (在 torch.backends.mkl 模組中) (在 torch.backends.mkldnn 模組中) (在 torch.backends.mps 模組中) (在 torch.backends.nnpack 模組中) (在 torch.backends.openmp 模組中) (在模組 torch.backends.opt_einsum 中) (在模組 torch.cpu 中) (在模組 torch.cuda 中) (in module torch.distributed) (在模組 torch.mtia 中) (在 torch.profiler.itt 模組中) (在模組 torch.xpu 中) is_built() (在 torch.backends.cuda 模組中) (在 torch.backends.mps 模組中) is_capturing_metal() (在 torch.mps.profiler 模組中) is_closed() (torch.distributed.elastic.rendezvous.RendezvousHandler 方法) is_coalesced() (torch.Tensor 方法) is_compiling() (在 torch.compiler 模組中) is_completed() (torch.distributed.Work 方法) is_complex() (在 torch 模組中) (torch.Tensor method) is_concrete_bool() (在 torch.fx.experimental.symbolic_shapes 模組中) is_concrete_float() (在 torch.fx.experimental.symbolic_shapes 模組中) is_concrete_int() (在 torch.fx.experimental.symbolic_shapes 模組中) is_conj() (在 torch 模組中) (torch.Tensor method) is_contiguous() (torch.Tensor 方法) is_cuda (torch.nn.utils.rnn.PackedSequence 屬性) (torch.Tensor 屬性) (torch.TypedStorage 屬性) (torch.UntypedStorage 屬性) is_current_stream_capturing() (在 torch.cuda 模組中) is_dependent() (在 torch.distributions.constraints 模組中) is_deterministic_algorithms_warn_only_enabled() (在 torch 模組中) is_dynamo_compiling() (在 torch.compiler 模組中) is_enabled() (在 torch.cuda.tunable 模組中) (torch.sparse.check_sparse_tensor_invariants 靜態方法) is_exporting() (在 torch.compiler 模組中) is_flash_attention_available() (在 torch.backends.cuda 模組中) is_floating_point() (在 torch 模組中) (torch.Tensor method) is_gloo_available() (在 torch.distributed 模組中) is_grad_enabled() (在 torch 模組中) is_hpu (torch.TypedStorage 屬性) (torch.UntypedStorage 屬性) is_impure() (torch.fx.Node 方法) is_in_onnx_export() (在 torch.onnx 模組中) is_inference() (torch.Tensor 方法) is_inference_mode_enabled() (在 torch 模組中) is_initialized() (在 torch.cuda 模組中) (in module torch.distributed) (在模組 torch.mtia 中) (在模組 torch.xpu 中) is_integer() (torch.SymFloat 方法) is_last() (在 torch.distributed.GradBucket 模組中) is_leaf (torch.Tensor 屬性) is_leaf_module() (torch.ao.ns._numeric_suite_fx.NSTracer 方法) (torch.fx.Tracer method) is_meta (torch.Tensor 屬性) is_metal_capture_enabled() (在 torch.mps.profiler 模組中) is_mpi_available() (在 torch.distributed 模組中) is_nccl_available() (在 torch.distributed 模組中) is_ninja_available() (在 torch.utils.cpp_extension 模組中) is_nonzero() (在 torch 模組中) is_onnxrt_backend_supported() (在 torch.onnx 模組中) is_owner() (torch.distributed.rpc.PyRRef 方法) is_parametrized() (在 torch.nn.utils.parametrize 模組中) is_partial() (torch.distributed.tensor.placement_types.Placement 方法) is_pinned() (torch.nn.utils.rnn.PackedSequence 方法) (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) is_pruned() (在 torch.nn.utils.prune 模組中) is_quantized (torch.Tensor 屬性) is_registered_op() (torch.onnx.OnnxRegistry 方法) is_replicate() (torch.distributed.tensor.placement_types.Placement 方法) is_running() (torch.distributed.elastic.agent.server.WorkerState 靜態方法) is_scripting() (在 torch.jit 模組中) is_set_to() (torch.Tensor 方法) is_shard() (torch.distributed.tensor.placement_types.Placement 方法) is_shared() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) is_signed() (torch.Tensor 方法) is_sparse (torch.Tensor 屬性) (torch.TypedStorage 屬性) (torch.UntypedStorage 屬性) is_sparse_csr (torch.Tensor 屬性) (torch.UntypedStorage 屬性) is_storage() (在 torch 模組中) is_success() (torch.distributed.Work 方法) is_tensor() (在 torch 模組中) is_tensor_like() (在 torch.overrides 模組中) is_tensor_method_or_property() (在模組 torch.overrides 中) is_tf32_supported() (在模組 torch.cuda 中) is_torchelastic_launched() (在模組 torch.distributed 中) is_tracing() (在模組 torch.jit 中) is_unbacked_symint() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) is_warn_always_enabled() (在模組 torch 中) is_xccl_available() (在模組 torch.distributed.distributed_c10d 中) isclose() (在模組 torch 中) (torch.Tensor method) isend() (在模組 torch.distributed 中) isfinite() (在模組 torch 中) (torch.Tensor method) isin() (在模組 torch 中) isinf() (在模組 torch 中) (torch.Tensor method) isinstance() (在模組 torch.jit 中) isnan() (在模組 torch 中) (torch.Tensor method) isneginf() (在模組 torch 中) (torch.Tensor method) isposinf() (在模組 torch 中) (torch.Tensor method) isreal() (在模組 torch 中) (torch.Tensor method) istft() (在模組 torch 中) (torch.Tensor method) item() (torch.Tensor 方法) items() (torch.autograd.profiler_util.StringTable 方法) (torch.export.decomp_utils.CustomDecompTable 方法) (torch.nn.ModuleDict 方法) (torch.nn.ParameterDict 方法) itemsize (torch.Tensor 屬性) iter() (torch.fx.Tracer 方法) IterableDataset (在模組 torch.utils.data 中的類) J jacfwd() (在模組 torch.func 中) jacobian() (在模組 torch.autograd.functional 中) jacrev() (在模組 torch.func 中) JitScalarType (在模組 torch.onnx 中的類) job_id (在模組 torch.compiler.config 中) Join (在模組 torch.distributed.algorithms 中的類) join (torch.distributed.elastic.rendezvous.dynamic_rendezvous.RendezvousTimeout 屬性) join() (torch.multiprocessing.SpawnContext 方法) (torch.nn.parallel.DistributedDataParallel 方法) join_device (torch.distributed.algorithms.Joinable 屬性) (torch.distributed.optim.ZeroRedundancyOptimizer 屬性) join_hook() (torch.distributed.algorithms.Joinable 方法) (torch.distributed.optim.ZeroRedundancyOptimizer 方法) (torch.nn.parallel.DistributedDataParallel 方法) join_process_group (torch.distributed.algorithms.Joinable 屬性) (torch.distributed.optim.ZeroRedundancyOptimizer 屬性) Joinable (在模組 torch.distributed.algorithms 中的類) JoinHook (在模組 torch.distributed.algorithms 中的類) jvp() (在模組 torch.autograd.functional 中) (在 torch.func 模組中) (torch.autograd.Function static method) (torch.autograd.function.InplaceFunction static method) (torch.autograd.function.NestedIOFunction 靜態方法) K kaiming_normal_() (在模組 torch.nn.init 中) kaiming_uniform_() (在模組 torch.nn.init 中) kaiser() (在模組 torch.signal.windows 中) kaiser_window() (在模組 torch 中) Kernel (在模組 torch.autograd.profiler_util 中的類) key_averages() (torch.autograd.profiler.profile 方法) (torch.profiler._KinetoProfile 方法) keys() (torch.autograd.profiler_util.StringTable 方法) (torch.export.decomp_utils.CustomDecompTable 方法) (torch.fx.Tracer method) (torch.nn.ModuleDict 方法) (torch.nn.ParameterDict 方法) KinetoStepTracker (在模組 torch.autograd.profiler 中的類) kl_div() (在模組 torch.nn.functional 中) kl_divergence() (在模組 torch.distributions.kl 中) KLDivLoss (在模組 torch.nn 中的類) kron() (在模組 torch 中) kthvalue() (在模組 torch 中) (torch.Tensor method) Kumaraswamy (在模組 torch.distributions.kumaraswamy 中的類) kv_indices (torch.nn.attention.flex_attention.BlockMask 屬性) kv_num_blocks (torch.nn.attention.flex_attention.BlockMask 屬性) kwargs (torch.fx.Node 屬性) L l1_loss() (在模組 torch.nn.functional 中) l1_unstructured() (在模組 torch.nn.utils.prune 中) L1Loss (在模組 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(在模組 torch 中) (torch.Tensor method) logaddexp2() (在模組 torch 中) (torch.Tensor method) logcumsumexp() (在模組 torch 中) (torch.Tensor method) logdet() (在模組 torch 中) (torch.Tensor method) Logger (在模組 torch.ao.ns._numeric_suite 中的類) loggers_set_enabled() (在模組 torch.ao.ns._numeric_suite_fx 中) loggers_set_save_activations() (在模組 torch.ao.ns._numeric_suite_fx 中) logical_and() (在模組 torch 中) (torch.Tensor method) logical_and_() (torch.Tensor 方法) logical_not() (在模組 torch 中) (torch.Tensor method) logical_not_() (torch.Tensor 方法) logical_or() (在模組 torch 中) (torch.Tensor method) logical_or_() (torch.Tensor 方法) logical_xor() (在模組 torch 中) (torch.Tensor method) logical_xor_() (torch.Tensor 方法) logit() (在模組 torch 中) (在模組 torch.special 中) (torch.Tensor method) logit_() (torch.Tensor 方法) LogitRelaxedBernoulli (在模組 torch.distributions.relaxed_bernoulli 中的類) logits (torch.distributions.bernoulli.Bernoulli 屬性) (torch.distributions.binomial.Binomial 屬性) (torch.distributions.categorical.Categorical 屬性) 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lu_factor_ex() (在模組 torch.linalg 中) lu_solve() (在模組 torch 中) (在模組 torch.linalg 中) (torch.Tensor method) lu_unpack() (在模組 torch 中) M main_hook() (torch.distributed.algorithms.JoinHook 方法) make_dual() (在模組 torch.autograd.forward_ad 中) make_fx() (在模組 torch.fx.experimental.proxy_tensor 中) make_graphed_callables() (在模組 torch.cuda 中) make_tensor() (在模組 torch.testing 中) manual_seed() (在模組 torch 中) (在模組 torch.cuda 中) (在模組 torch.mps 中) (在 torch.random 模組中) (在模組 torch.xpu 中) (torch.Generator 方法) manual_seed_all() (在模組 torch.cuda 中) (在模組 torch.xpu 中) map_() (torch.Tensor 方法) map_nodes_to_values() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts 方法) (torch.fx.Interpreter method) MappingType (在模組 torch.ao.quantization.observer 中的類) margin_ranking_loss() (在模組 torch.nn.functional 中) MarginRankingLoss (在模組 torch.nn 中的類) mark() (在模組 torch.cuda.nvtx 中) (在 torch.profiler.itt 模組中) mark_dirty() (torch.autograd.function.BackwardCFunction 方法) (torch.autograd.function.FunctionCtx 方法) (torch.autograd.function.InplaceFunction 方法) (torch.autograd.function.NestedIOFunction method) mark_non_differentiable() (torch.autograd.function.BackwardCFunction 方法) (torch.autograd.function.FunctionCtx 方法) (torch.autograd.function.InplaceFunction 方法) (torch.autograd.function.NestedIOFunction method) mask_mod (torch.nn.attention.flex_attention.BlockMask 屬性) masked_fill() (torch.Tensor 方法) masked_fill_() (torch.Tensor 方法) masked_scatter() (torch.Tensor 方法) masked_scatter_() (torch.Tensor 方法) masked_select() (在模組 torch 中) (在模組 torch.nested 中) (torch.Tensor method) materialize() (torch.export.decomp_utils.CustomDecompTable 方法) math_sdp_enabled() (在模組 torch.backends.cuda 中) matmul() (在模組 torch 中) (在模組 torch.linalg 中) (torch.Tensor method) matrix_exp() (在模組 torch 中) (在模組 torch.linalg 中) (torch.Tensor method) matrix_norm() (在模組 torch.linalg 中) matrix_power() (在模組 torch 中) (在模組 torch.linalg 中) (torch.Tensor method) matrix_rank() (在模組 torch.linalg 中) max() (在模組 torch 中) (torch.Tensor method) max_memory_allocated() (在模組 torch.cuda 中) (在模組 torch.xpu 中) max_memory_cached() (在模組 torch.cuda 中) max_memory_reserved() (在模組 torch.cuda 中) (在模組 torch.xpu 中) max_pool1d (在模組 torch.ao.nn.quantized.functional 中的類) max_pool1d() (在模組 torch.nn.functional 中) max_pool2d (在模組 torch.ao.nn.quantized.functional 中的類) max_pool2d() (在模組 torch.nn.functional 中) max_pool3d() (在模組 torch.nn.functional 中) max_size (在模組 torch.backends.cuda.cufft_plan_cache 中) max_unpool1d() (在模組 torch.nn.functional 中) max_unpool2d() (在模組 torch.nn.functional 中) max_unpool3d() (在模組 torch.nn.functional 中) maximum() (在模組 torch 中) (torch.Tensor method) MaxPool1d (在模組 torch.nn 中的類) MaxPool2d (在模組 torch.nn 中的類) MaxPool3d (在模組 torch.nn 中的類) MaxUnpool1d (在模組 torch.nn 中的類) MaxUnpool2d (在模組 torch.nn 中的類) MaxUnpool3d (在模組 torch.nn 中的類) maybe_disable_thunkify() (在模組 torch.fx.experimental.proxy_tensor 中) maybe_enable_thunkify() (在模組 torch.fx.experimental.proxy_tensor 中) mean (torch.distributions.bernoulli.Bernoulli 屬性) (torch.distributions.beta.Beta 屬性) (torch.distributions.binomial.Binomial 屬性) (torch.distributions.categorical.Categorical 屬性) (torch.distributions.cauchy.Cauchy 屬性) (torch.distributions.continuous_bernoulli.ContinuousBernoulli 屬性) (torch.distributions.dirichlet.Dirichlet 屬性) (torch.distributions.distribution.Distribution property) (torch.distributions.exponential.Exponential 屬性) (torch.distributions.fishersnedecor.FisherSnedecor 屬性) (torch.distributions.gamma.Gamma 屬性) (torch.distributions.geometric.Geometric 屬性) (torch.distributions.gumbel.Gumbel 屬性) (torch.distributions.half_cauchy.HalfCauchy 屬性) (torch.distributions.half_normal.HalfNormal 屬性) (torch.distributions.independent.Independent 屬性) (torch.distributions.inverse_gamma.InverseGamma 屬性) (torch.distributions.kumaraswamy.Kumaraswamy 屬性) (torch.distributions.laplace.Laplace 屬性) (torch.distributions.log_normal.LogNormal 屬性) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal 屬性) (torch.distributions.mixture_same_family.MixtureSameFamily 屬性) (torch.distributions.multinomial.Multinomial 屬性) (torch.distributions.multivariate_normal.MultivariateNormal 屬性) (torch.distributions.negative_binomial.NegativeBinomial 屬性) (torch.distributions.normal.Normal 屬性) (torch.distributions.one_hot_categorical.OneHotCategorical 屬性) (torch.distributions.pareto.Pareto 屬性) (torch.distributions.poisson.Poisson 屬性) (torch.distributions.studentT.StudentT 屬性) (torch.distributions.uniform.Uniform 屬性) (torch.distributions.von_mises.VonMises 屬性) (torch.distributions.weibull.Weibull 屬性) (torch.distributions.wishart.Wishart 屬性) mean() (在模組 torch 中) (torch.Tensor method) Measurement (在模組 torch.utils.benchmark 中的類) median() (在模組 torch 中) (torch.Tensor method) mem_efficient_sdp_enabled() (在模組 torch.backends.cuda 中) mem_get_info() (在模組 torch.cuda 中) (在模組 torch.xpu 中) memory_allocated() (在模組 torch.cuda 中) (在模組 torch.xpu 中) memory_cached() (在模組 torch.cuda 中) memory_format (在模組 torch 中的類) memory_reserved() (在模組 torch.cuda 中) (在模組 torch.xpu 中) memory_snapshot() (在模組 torch.cuda 中) memory_stats() (在模組 torch.cuda 中) (在模組 torch.mtia 中) (在模組 torch.mtia.memory 中) (在模組 torch.xpu 中) memory_stats_as_nested_dict() (在模組 torch.xpu 中) memory_summary() (在模組 torch.cuda 中) memory_usage() (在模組 torch.cuda 中) MemPool (在模組 torch.cuda 中的類) MemPoolContext (在模組 torch.cuda 中的類) MemRecordsAcc (在模組 torch.autograd.profiler_util 中的類) merge() (torch.utils.benchmark.Measurement 靜態方法) merge_chunks() (在模組 torch.distributed.pipelining.microbatch 中) merge_masks() (torch.nn.MultiheadAttention 方法) meshgrid() (在模組 torch 中) metadata() (torch.autograd.graph.Node 方法) metal_capture() (在模組 torch.mps.profiler 中) MetricHandler (在模組 torch.distributed.elastic.metrics.api 中的類) mgpu_tune_gemm_in_file() (在模組 torch.cuda.tunable 中) mH (torch.Tensor 屬性) min() (在模組 torch 中) (torch.Tensor method) minimum() (在模組 torch 中) (torch.Tensor method) MinMaxObserver (在模組 torch.ao.quantization.observer 中的類) Mish (在模組 torch.nn 中的類) mish() (在模組 torch.nn.functional 中) MixedPrecision (在模組 torch.distributed.fsdp 中的類) MixedPrecisionPolicy (在模組 torch.distributed.fsdp 中的類) mixture_distribution (torch.distributions.mixture_same_family.MixtureSameFamily 屬性) MixtureSameFamily (在模組 torch.distributions.mixture_same_family 中的類) mm() (在模組 torch 中) (in module torch.sparse) (torch.Tensor method) mock() (torch.package.PackageExporter 方法) mocked_modules() (torch.package.PackageExporter 方法) mode (torch.distributions.bernoulli.Bernoulli 屬性) (torch.distributions.beta.Beta 屬性) (torch.distributions.binomial.Binomial 屬性) (torch.distributions.categorical.Categorical 屬性) (torch.distributions.cauchy.Cauchy 屬性) (torch.distributions.dirichlet.Dirichlet 屬性) (torch.distributions.distribution.Distribution property) (torch.distributions.exponential.Exponential 屬性) (torch.distributions.fishersnedecor.FisherSnedecor 屬性) (torch.distributions.gamma.Gamma 屬性) (torch.distributions.geometric.Geometric 屬性) (torch.distributions.gumbel.Gumbel 屬性) (torch.distributions.half_cauchy.HalfCauchy 屬性) (torch.distributions.half_normal.HalfNormal 屬性) (torch.distributions.independent.Independent 屬性) (torch.distributions.inverse_gamma.InverseGamma 屬性) (torch.distributions.kumaraswamy.Kumaraswamy 屬性) (torch.distributions.laplace.Laplace 屬性) (torch.distributions.log_normal.LogNormal 屬性) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal 屬性) (torch.distributions.multivariate_normal.MultivariateNormal 屬性) (torch.distributions.negative_binomial.NegativeBinomial 屬性) (torch.distributions.normal.Normal 屬性) (torch.distributions.one_hot_categorical.OneHotCategorical 屬性) (torch.distributions.pareto.Pareto 屬性) (torch.distributions.poisson.Poisson 屬性) (torch.distributions.studentT.StudentT 屬性) (torch.distributions.uniform.Uniform 屬性) (torch.distributions.von_mises.VonMises 屬性) (torch.distributions.weibull.Weibull 屬性) (torch.distributions.wishart.Wishart 屬性) mode() (在模組 torch 中) (torch.Tensor method) model_is_exported (在模組 torch.ao.quantization.pt2e.export_utils 中的類) model_proto (torch.onnx.ONNXProgram 屬性) module torch torch.__config__ torch.__future__ torch._logging torch.accelerator torch.amp torch.amp.autocast_mode torch.amp.grad_scaler torch.ao torch.ao.nn torch.ao.nn.intrinsic torch.ao.nn.intrinsic.modules torch.ao.nn.intrinsic.modules.fused torch.ao.nn.intrinsic.qat torch.ao.nn.intrinsic.qat.modules torch.ao.nn.intrinsic.qat.modules.conv_fused torch.ao.nn.intrinsic.qat.modules.linear_fused torch.ao.nn.intrinsic.qat.modules.linear_relu torch.ao.nn.intrinsic.quantized torch.ao.nn.intrinsic.quantized.dynamic torch.ao.nn.intrinsic.quantized.dynamic.modules torch.ao.nn.intrinsic.quantized.dynamic.modules.linear_relu torch.ao.nn.intrinsic.quantized.modules torch.ao.nn.intrinsic.quantized.modules.bn_relu torch.ao.nn.intrinsic.quantized.modules.conv_add torch.ao.nn.intrinsic.quantized.modules.conv_relu torch.ao.nn.intrinsic.quantized.modules.linear_relu torch.ao.nn.qat torch.ao.nn.qat.dynamic torch.ao.nn.qat.dynamic.modules torch.ao.nn.qat.dynamic.modules.linear torch.ao.nn.qat.modules torch.ao.nn.qat.modules.conv torch.ao.nn.qat.modules.embedding_ops torch.ao.nn.qat.modules.linear torch.ao.nn.quantizable torch.ao.nn.quantizable.modules torch.ao.nn.quantizable.modules.activation torch.ao.nn.quantizable.modules.rnn torch.ao.nn.quantized torch.ao.nn.quantized.dynamic torch.ao.nn.quantized.dynamic.modules torch.ao.nn.quantized.dynamic.modules.conv torch.ao.nn.quantized.dynamic.modules.linear torch.ao.nn.quantized.dynamic.modules.rnn torch.ao.nn.quantized.functional torch.ao.nn.quantized.modules torch.ao.nn.quantized.modules.activation torch.ao.nn.quantized.modules.batchnorm torch.ao.nn.quantized.modules.conv torch.ao.nn.quantized.modules.dropout torch.ao.nn.quantized.modules.embedding_ops torch.ao.nn.quantized.modules.functional_modules torch.ao.nn.quantized.modules.linear torch.ao.nn.quantized.modules.normalization torch.ao.nn.quantized.modules.rnn torch.ao.nn.quantized.modules.utils torch.ao.nn.quantized.reference torch.ao.nn.quantized.reference.modules torch.ao.nn.quantized.reference.modules.conv torch.ao.nn.quantized.reference.modules.linear torch.ao.nn.quantized.reference.modules.rnn torch.ao.nn.quantized.reference.modules.sparse torch.ao.nn.quantized.reference.modules.utils torch.ao.nn.sparse torch.ao.nn.sparse.quantized torch.ao.nn.sparse.quantized.dynamic torch.ao.nn.sparse.quantized.dynamic.linear torch.ao.nn.sparse.quantized.linear torch.ao.nn.sparse.quantized.utils torch.ao.ns torch.ao.ns._numeric_suite torch.ao.ns._numeric_suite_fx torch.ao.ns.fx torch.ao.ns.fx.graph_matcher torch.ao.ns.fx.graph_passes torch.ao.ns.fx.mappings torch.ao.ns.fx.n_shadows_utils torch.ao.ns.fx.ns_types torch.ao.ns.fx.pattern_utils torch.ao.ns.fx.qconfig_multi_mapping torch.ao.ns.fx.utils torch.ao.ns.fx.weight_utils torch.ao.pruning torch.ao.pruning.scheduler torch.ao.pruning.scheduler.base_scheduler torch.ao.pruning.scheduler.cubic_scheduler torch.ao.pruning.scheduler.lambda_scheduler torch.ao.pruning.sparsifier torch.ao.pruning.sparsifier.base_sparsifier torch.ao.pruning.sparsifier.nearly_diagonal_sparsifier torch.ao.pruning.sparsifier.utils torch.ao.pruning.sparsifier.weight_norm_sparsifier torch.ao.quantization torch.ao.quantization.backend_config torch.ao.quantization.backend_config.backend_config torch.ao.quantization.backend_config.executorch torch.ao.quantization.backend_config.fbgemm torch.ao.quantization.backend_config.native torch.ao.quantization.backend_config.observation_type torch.ao.quantization.backend_config.onednn torch.ao.quantization.backend_config.qnnpack torch.ao.quantization.backend_config.tensorrt torch.ao.quantization.backend_config.utils torch.ao.quantization.backend_config.x86 torch.ao.quantization.fake_quantize torch.ao.quantization.fuse_modules torch.ao.quantization.fuser_method_mappings torch.ao.quantization.fx torch.ao.quantization.fx.convert torch.ao.quantization.fx.custom_config torch.ao.quantization.fx.fuse torch.ao.quantization.fx.fuse_handler torch.ao.quantization.fx.graph_module torch.ao.quantization.fx.lower_to_fbgemm torch.ao.quantization.fx.lower_to_qnnpack torch.ao.quantization.fx.lstm_utils torch.ao.quantization.fx.match_utils torch.ao.quantization.fx.pattern_utils torch.ao.quantization.fx.prepare torch.ao.quantization.fx.qconfig_mapping_utils torch.ao.quantization.fx.quantize_handler torch.ao.quantization.fx.tracer torch.ao.quantization.fx.utils torch.ao.quantization.observer torch.ao.quantization.pt2e torch.ao.quantization.pt2e.duplicate_dq_pass torch.ao.quantization.pt2e.export_utils torch.ao.quantization.pt2e.graph_utils torch.ao.quantization.pt2e.port_metadata_pass torch.ao.quantization.pt2e.prepare torch.ao.quantization.pt2e.qat_utils torch.ao.quantization.pt2e.representation torch.ao.quantization.pt2e.representation.rewrite torch.ao.quantization.pt2e.utils torch.ao.quantization.qconfig torch.ao.quantization.qconfig_mapping torch.ao.quantization.quant_type torch.ao.quantization.quantization_mappings torch.ao.quantization.quantize_fx torch.ao.quantization.quantize_jit torch.ao.quantization.quantize_pt2e torch.ao.quantization.quantizer torch.ao.quantization.quantizer.composable_quantizer torch.ao.quantization.quantizer.embedding_quantizer torch.ao.quantization.quantizer.quantizer torch.ao.quantization.quantizer.utils torch.ao.quantization.quantizer.x86_inductor_quantizer torch.ao.quantization.quantizer.xnnpack_quantizer torch.ao.quantization.quantizer.xnnpack_quantizer_utils torch.ao.quantization.quantizer.xpu_inductor_quantizer torch.ao.quantization.stubs torch.ao.quantization.utils torch.autograd torch.autograd.anomaly_mode torch.autograd.forward_ad torch.autograd.function torch.autograd.functional torch.autograd.grad_mode torch.autograd.gradcheck torch.autograd.graph torch.autograd.profiler torch.autograd.profiler_legacy torch.autograd.profiler_util torch.autograd.variable torch.backends torch.backends.cpu torch.backends.cuda torch.backends.cudnn torch.backends.cudnn.rnn torch.backends.cusparselt torch.backends.kleidiai torch.backends.mha torch.backends.mkl torch.backends.mkldnn torch.backends.mps torch.backends.nnpack torch.backends.openmp torch.backends.opt_einsum torch.backends.quantized torch.backends.xeon torch.backends.xeon.run_cpu torch.backends.xnnpack torch.compiler torch.compiler.config torch.contrib torch.cpu torch.cpu.amp torch.cpu.amp.autocast_mode torch.cpu.amp.grad_scaler torch.cuda torch.cuda._sanitizer torch.cuda.amp torch.cuda.amp.autocast_mode torch.cuda.amp.common torch.cuda.amp.grad_scaler torch.cuda.comm torch.cuda.error torch.cuda.gds torch.cuda.graphs torch.cuda.jiterator torch.cuda.memory torch.cuda.nccl torch.cuda.nvtx torch.cuda.profiler torch.cuda.random torch.cuda.sparse torch.cuda.streams torch.cuda.tunable torch.distributed torch.distributed.algorithms torch.distributed.algorithms.ddp_comm_hooks torch.distributed.algorithms.ddp_comm_hooks.ddp_zero_hook torch.distributed.algorithms.ddp_comm_hooks.debugging_hooks torch.distributed.algorithms.ddp_comm_hooks.default_hooks torch.distributed.algorithms.ddp_comm_hooks.mixed_precision_hooks torch.distributed.algorithms.ddp_comm_hooks.optimizer_overlap_hooks torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook torch.distributed.algorithms.ddp_comm_hooks.powerSGD_hook torch.distributed.algorithms.ddp_comm_hooks.quantization_hooks torch.distributed.algorithms.join torch.distributed.algorithms.model_averaging torch.distributed.algorithms.model_averaging.averagers torch.distributed.algorithms.model_averaging.hierarchical_model_averager torch.distributed.algorithms.model_averaging.utils torch.distributed.argparse_util torch.distributed.autograd torch.distributed.c10d_logger torch.distributed.checkpoint torch.distributed.checkpoint.api torch.distributed.checkpoint.default_planner torch.distributed.checkpoint.filesystem torch.distributed.checkpoint.format_utils torch.distributed.checkpoint.logger torch.distributed.checkpoint.logging_handlers torch.distributed.checkpoint.metadata torch.distributed.checkpoint.optimizer torch.distributed.checkpoint.planner torch.distributed.checkpoint.planner_helpers torch.distributed.checkpoint.resharding torch.distributed.checkpoint.staging torch.distributed.checkpoint.state_dict torch.distributed.checkpoint.state_dict_loader torch.distributed.checkpoint.state_dict_saver torch.distributed.checkpoint.stateful torch.distributed.checkpoint.storage torch.distributed.checkpoint.utils torch.distributed.collective_utils torch.distributed.constants torch.distributed.device_mesh torch.distributed.distributed_c10d torch.distributed.elastic torch.distributed.elastic.agent torch.distributed.elastic.agent.server torch.distributed.elastic.agent.server.api torch.distributed.elastic.agent.server.health_check_server torch.distributed.elastic.agent.server.local_elastic_agent torch.distributed.elastic.control_plane torch.distributed.elastic.events torch.distributed.elastic.events.api torch.distributed.elastic.events.handlers torch.distributed.elastic.metrics torch.distributed.elastic.metrics.api torch.distributed.elastic.multiprocessing torch.distributed.elastic.multiprocessing.api torch.distributed.elastic.multiprocessing.errors torch.distributed.elastic.multiprocessing.errors.error_handler torch.distributed.elastic.multiprocessing.errors.handlers torch.distributed.elastic.multiprocessing.redirects torch.distributed.elastic.multiprocessing.subprocess_handler torch.distributed.elastic.multiprocessing.subprocess_handler.handlers torch.distributed.elastic.multiprocessing.subprocess_handler.subprocess_handler torch.distributed.elastic.multiprocessing.tail_log torch.distributed.elastic.rendezvous torch.distributed.elastic.rendezvous.api torch.distributed.elastic.rendezvous.c10d_rendezvous_backend torch.distributed.elastic.rendezvous.dynamic_rendezvous torch.distributed.elastic.rendezvous.etcd_rendezvous torch.distributed.elastic.rendezvous.etcd_rendezvous_backend torch.distributed.elastic.rendezvous.etcd_server torch.distributed.elastic.rendezvous.etcd_store torch.distributed.elastic.rendezvous.registry torch.distributed.elastic.rendezvous.static_tcp_rendezvous torch.distributed.elastic.rendezvous.utils torch.distributed.elastic.timer torch.distributed.elastic.timer.api torch.distributed.elastic.timer.debug_info_logging torch.distributed.elastic.timer.file_based_local_timer torch.distributed.elastic.timer.local_timer torch.distributed.elastic.utils torch.distributed.elastic.utils.api torch.distributed.elastic.utils.data torch.distributed.elastic.utils.data.cycling_iterator torch.distributed.elastic.utils.data.elastic_distributed_sampler torch.distributed.elastic.utils.distributed torch.distributed.elastic.utils.log_level torch.distributed.elastic.utils.logging torch.distributed.elastic.utils.store torch.distributed.fsdp torch.distributed.fsdp.api torch.distributed.fsdp.fully_sharded_data_parallel torch.distributed.fsdp.sharded_grad_scaler torch.distributed.fsdp.wrap torch.distributed.launch torch.distributed.launcher torch.distributed.launcher.api torch.distributed.logging_handlers torch.distributed.nn torch.distributed.nn.api torch.distributed.nn.api.remote_module torch.distributed.nn.functional torch.distributed.nn.jit torch.distributed.nn.jit.instantiator torch.distributed.nn.jit.templates torch.distributed.nn.jit.templates.remote_module_template torch.distributed.optim torch.distributed.optim.apply_optimizer_in_backward torch.distributed.optim.functional_adadelta torch.distributed.optim.functional_adagrad torch.distributed.optim.functional_adam torch.distributed.optim.functional_adamax torch.distributed.optim.functional_adamw torch.distributed.optim.functional_rmsprop torch.distributed.optim.functional_rprop torch.distributed.optim.functional_sgd torch.distributed.optim.named_optimizer torch.distributed.optim.optimizer torch.distributed.optim.post_localSGD_optimizer torch.distributed.optim.utils torch.distributed.optim.zero_redundancy_optimizer torch.distributed.pipelining torch.distributed.pipelining.microbatch torch.distributed.pipelining.schedules torch.distributed.pipelining.stage torch.distributed.remote_device torch.distributed.rendezvous torch.distributed.rpc torch.distributed.rpc.api torch.distributed.rpc.backend_registry torch.distributed.rpc.constants torch.distributed.rpc.functions torch.distributed.rpc.internal torch.distributed.rpc.options torch.distributed.rpc.rref_proxy torch.distributed.rpc.server_process_global_profiler torch.distributed.run torch.distributed.tensor torch.distributed.tensor.debug torch.distributed.tensor.device_mesh torch.distributed.tensor.experimental torch.distributed.tensor.parallel torch.distributed.tensor.parallel.api torch.distributed.tensor.parallel.ddp torch.distributed.tensor.parallel.fsdp torch.distributed.tensor.parallel.input_reshard torch.distributed.tensor.parallel.loss torch.distributed.tensor.parallel.style torch.distributed.tensor.placement_types torch.distributed.utils torch.distributions torch.distributions.bernoulli torch.distributions.beta torch.distributions.binomial torch.distributions.categorical torch.distributions.cauchy torch.distributions.chi2 torch.distributions.constraint_registry torch.distributions.constraints torch.distributions.continuous_bernoulli torch.distributions.dirichlet torch.distributions.distribution torch.distributions.exp_family torch.distributions.exponential torch.distributions.fishersnedecor torch.distributions.gamma torch.distributions.geometric torch.distributions.gumbel torch.distributions.half_cauchy torch.distributions.half_normal torch.distributions.independent torch.distributions.inverse_gamma torch.distributions.kl torch.distributions.kumaraswamy torch.distributions.laplace torch.distributions.lkj_cholesky torch.distributions.log_normal torch.distributions.logistic_normal torch.distributions.lowrank_multivariate_normal torch.distributions.mixture_same_family torch.distributions.multinomial torch.distributions.multivariate_normal torch.distributions.negative_binomial torch.distributions.normal torch.distributions.one_hot_categorical torch.distributions.pareto torch.distributions.poisson torch.distributions.relaxed_bernoulli torch.distributions.relaxed_categorical torch.distributions.studentT torch.distributions.transformed_distribution torch.distributions.transforms torch.distributions.uniform torch.distributions.utils torch.distributions.von_mises torch.distributions.weibull torch.distributions.wishart torch.export torch.export.custom_obj torch.export.custom_ops torch.export.decomp_utils torch.export.dynamic_shapes torch.export.experimental torch.export.exported_program torch.export.graph_signature torch.export.passes torch.export.unflatten torch.fft torch.func torch.functional torch.futures torch.fx torch.fx.annotate torch.fx.config torch.fx.experimental torch.fx.experimental.accelerator_partitioner torch.fx.experimental.const_fold torch.fx.experimental.debug torch.fx.experimental.graph_gradual_typechecker torch.fx.experimental.merge_matmul torch.fx.experimental.meta_tracer torch.fx.experimental.migrate_gradual_types torch.fx.experimental.migrate_gradual_types.constraint torch.fx.experimental.migrate_gradual_types.constraint_generator torch.fx.experimental.migrate_gradual_types.constraint_transformation torch.fx.experimental.migrate_gradual_types.operation torch.fx.experimental.migrate_gradual_types.transform_to_z3 torch.fx.experimental.migrate_gradual_types.util torch.fx.experimental.migrate_gradual_types.z3_types torch.fx.experimental.normalize torch.fx.experimental.optimization torch.fx.experimental.partitioner_utils torch.fx.experimental.proxy_tensor torch.fx.experimental.recording torch.fx.experimental.refinement_types torch.fx.experimental.rewriter torch.fx.experimental.schema_type_annotation torch.fx.experimental.sym_node torch.fx.experimental.symbolic_shapes torch.fx.experimental.unification torch.fx.experimental.unification.core torch.fx.experimental.unification.dispatch torch.fx.experimental.unification.match torch.fx.experimental.unification.more torch.fx.experimental.unification.multipledispatch torch.fx.experimental.unification.multipledispatch.conflict torch.fx.experimental.unification.multipledispatch.core torch.fx.experimental.unification.multipledispatch.dispatcher torch.fx.experimental.unification.multipledispatch.utils torch.fx.experimental.unification.multipledispatch.variadic torch.fx.experimental.unification.unification_tools torch.fx.experimental.unification.utils torch.fx.experimental.unification.variable torch.fx.experimental.unify_refinements torch.fx.experimental.validator torch.fx.graph torch.fx.graph_module torch.fx.immutable_collections torch.fx.interpreter torch.fx.node torch.fx.operator_schemas torch.fx.passes torch.fx.passes.annotate_getitem_nodes torch.fx.passes.backends torch.fx.passes.backends.cudagraphs torch.fx.passes.dialect torch.fx.passes.dialect.common torch.fx.passes.dialect.common.cse_pass torch.fx.passes.fake_tensor_prop torch.fx.passes.graph_drawer torch.fx.passes.graph_manipulation torch.fx.passes.graph_transform_observer torch.fx.passes.infra torch.fx.passes.infra.partitioner torch.fx.passes.infra.pass_base torch.fx.passes.infra.pass_manager torch.fx.passes.net_min_base torch.fx.passes.operator_support torch.fx.passes.param_fetch torch.fx.passes.pass_manager torch.fx.passes.reinplace torch.fx.passes.runtime_assert torch.fx.passes.shape_prop torch.fx.passes.split_module torch.fx.passes.split_utils torch.fx.passes.splitter_base torch.fx.passes.tests torch.fx.passes.tests.test_pass_manager torch.fx.passes.tools_common torch.fx.passes.utils torch.fx.passes.utils.common torch.fx.passes.utils.fuser_utils torch.fx.passes.utils.matcher_utils torch.fx.passes.utils.matcher_with_name_node_map_utils torch.fx.passes.utils.source_matcher_utils torch.fx.proxy torch.fx.subgraph_rewriter torch.fx.tensor_type torch.fx.traceback torch.hub torch.jit torch.jit.annotations torch.jit.frontend torch.jit.generate_bytecode torch.jit.mobile torch.jit.quantized torch.jit.supported_ops torch.jit.unsupported_tensor_ops torch.library torch.linalg torch.masked torch.masked.maskedtensor torch.masked.maskedtensor.binary torch.masked.maskedtensor.core torch.masked.maskedtensor.creation torch.masked.maskedtensor.passthrough torch.masked.maskedtensor.reductions torch.masked.maskedtensor.unary torch.monitor torch.mps torch.mps.event torch.mps.profiler torch.mtia torch.mtia.memory torch.multiprocessing torch.multiprocessing.pool torch.multiprocessing.queue torch.multiprocessing.reductions torch.multiprocessing.spawn torch.nested torch.nn torch.nn.attention torch.nn.attention.bias torch.nn.attention.experimental torch.nn.attention.flex_attention 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torch.nn.quantized.dynamic.modules.conv torch.nn.quantized.dynamic.modules.linear torch.nn.quantized.dynamic.modules.rnn torch.nn.quantized.functional torch.nn.quantized.modules torch.nn.quantized.modules.activation torch.nn.quantized.modules.batchnorm torch.nn.quantized.modules.conv torch.nn.quantized.modules.dropout torch.nn.quantized.modules.embedding_ops torch.nn.quantized.modules.functional_modules torch.nn.quantized.modules.linear torch.nn.quantized.modules.normalization torch.nn.quantized.modules.rnn torch.nn.quantized.modules.utils torch.nn.utils torch.nn.utils.clip_grad torch.nn.utils.convert_parameters torch.nn.utils.fusion torch.nn.utils.init torch.nn.utils.memory_format torch.nn.utils.parametrizations torch.nn.utils.parametrize torch.nn.utils.prune torch.nn.utils.rnn torch.nn.utils.stateless torch.onnx torch.onnx.errors torch.onnx.operators torch.onnx.symbolic_caffe2 torch.onnx.symbolic_helper torch.onnx.symbolic_opset10 torch.onnx.symbolic_opset11 torch.onnx.symbolic_opset12 torch.onnx.symbolic_opset13 torch.onnx.symbolic_opset14 torch.onnx.symbolic_opset15 torch.onnx.symbolic_opset16 torch.onnx.symbolic_opset17 torch.onnx.symbolic_opset18 torch.onnx.symbolic_opset19 torch.onnx.symbolic_opset20 torch.onnx.symbolic_opset7 torch.onnx.symbolic_opset8 torch.onnx.symbolic_opset9 torch.onnx.utils torch.onnx.verification torch.optim torch.optim.adadelta torch.optim.adagrad torch.optim.adam torch.optim.adamax torch.optim.adamw torch.optim.asgd torch.optim.lbfgs torch.optim.lr_scheduler torch.optim.nadam torch.optim.optimizer torch.optim.radam torch.optim.rmsprop torch.optim.rprop torch.optim.sgd torch.optim.sparse_adam torch.optim.swa_utils torch.overrides torch.package torch.package.analyze torch.package.analyze.find_first_use_of_broken_modules torch.package.analyze.is_from_package torch.package.analyze.trace_dependencies torch.package.file_structure_representation torch.package.find_file_dependencies torch.package.glob_group torch.package.importer torch.package.package_exporter torch.package.package_importer torch.profiler torch.profiler.itt torch.profiler.profiler torch.profiler.python_tracer torch.quantization torch.quantization.fake_quantize torch.quantization.fuse_modules torch.quantization.fuser_method_mappings torch.quantization.fx torch.quantization.fx.convert torch.quantization.fx.fuse torch.quantization.fx.fusion_patterns torch.quantization.fx.graph_module torch.quantization.fx.match_utils torch.quantization.fx.pattern_utils torch.quantization.fx.prepare torch.quantization.fx.quantization_patterns torch.quantization.fx.quantization_types torch.quantization.fx.utils torch.quantization.observer torch.quantization.qconfig torch.quantization.quant_type torch.quantization.quantization_mappings torch.quantization.quantize torch.quantization.quantize_fx torch.quantization.quantize_jit torch.quantization.stubs torch.quantization.utils torch.quasirandom torch.random torch.return_types torch.serialization torch.signal torch.signal.windows torch.signal.windows.windows torch.sparse torch.sparse.semi_structured torch.special torch.storage torch.testing torch.torch_version torch.types torch.utils torch.utils.backcompat torch.utils.backend_registration torch.utils.benchmark torch.utils.benchmark.examples torch.utils.benchmark.examples.blas_compare_setup torch.utils.benchmark.examples.compare torch.utils.benchmark.examples.fuzzer torch.utils.benchmark.examples.op_benchmark torch.utils.benchmark.examples.simple_timeit torch.utils.benchmark.examples.spectral_ops_fuzz_test torch.utils.benchmark.op_fuzzers torch.utils.benchmark.op_fuzzers.binary torch.utils.benchmark.op_fuzzers.sparse_binary torch.utils.benchmark.op_fuzzers.sparse_unary torch.utils.benchmark.op_fuzzers.spectral torch.utils.benchmark.op_fuzzers.unary torch.utils.benchmark.utils torch.utils.benchmark.utils.common torch.utils.benchmark.utils.compare torch.utils.benchmark.utils.compile torch.utils.benchmark.utils.cpp_jit torch.utils.benchmark.utils.fuzzer torch.utils.benchmark.utils.sparse_fuzzer torch.utils.benchmark.utils.timer torch.utils.benchmark.utils.valgrind_wrapper torch.utils.benchmark.utils.valgrind_wrapper.timer_interface torch.utils.bottleneck torch.utils.bundled_inputs torch.utils.checkpoint torch.utils.collect_env torch.utils.cpp_backtrace torch.utils.cpp_extension torch.utils.data torch.utils.data.backward_compatibility torch.utils.data.dataloader torch.utils.data.datapipes torch.utils.data.datapipes.dataframe torch.utils.data.datapipes.dataframe.dataframe_wrapper torch.utils.data.datapipes.dataframe.dataframes torch.utils.data.datapipes.dataframe.datapipes torch.utils.data.datapipes.dataframe.structures torch.utils.data.datapipes.datapipe torch.utils.data.datapipes.gen_pyi torch.utils.data.datapipes.iter torch.utils.data.datapipes.iter.callable torch.utils.data.datapipes.iter.combinatorics torch.utils.data.datapipes.iter.combining torch.utils.data.datapipes.iter.filelister torch.utils.data.datapipes.iter.fileopener torch.utils.data.datapipes.iter.grouping torch.utils.data.datapipes.iter.routeddecoder torch.utils.data.datapipes.iter.selecting torch.utils.data.datapipes.iter.sharding torch.utils.data.datapipes.iter.streamreader torch.utils.data.datapipes.iter.utils torch.utils.data.datapipes.map torch.utils.data.datapipes.map.callable torch.utils.data.datapipes.map.combinatorics torch.utils.data.datapipes.map.combining torch.utils.data.datapipes.map.grouping torch.utils.data.datapipes.map.utils torch.utils.data.datapipes.utils torch.utils.data.datapipes.utils.common torch.utils.data.datapipes.utils.decoder torch.utils.data.datapipes.utils.snapshot torch.utils.data.dataset torch.utils.data.distributed torch.utils.data.graph torch.utils.data.graph_settings torch.utils.data.sampler torch.utils.deterministic torch.utils.dlpack torch.utils.file_baton torch.utils.flop_counter torch.utils.hipify torch.utils.hipify.constants torch.utils.hipify.cuda_to_hip_mappings 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(torch.package.PackageExporter 方法) register_kernel() (在 torch.library 模組中) register_kl() (在 torch.distributions.kl 模組中) register_load_state_dict_post_hook() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.Adadelta method) (torch.optim.Adafactor method) (torch.optim.Adagrad method) (torch.optim.Adam method) (torch.optim.Adamax method) (torch.optim.AdamW method) (torch.optim.ASGD method) (torch.optim.LBFGS method) (torch.optim.NAdam method) (torch.optim.Optimizer method) (torch.optim.RAdam method) (torch.optim.RMSprop method) (torch.optim.Rprop method) (torch.optim.SGD method) (torch.optim.SparseAdam method) (torch.optim.swa_utils.AveragedModel method) register_load_state_dict_pre_hook() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.Adadelta method) (torch.optim.Adafactor method) (torch.optim.Adagrad method) (torch.optim.Adam method) (torch.optim.Adamax method) (torch.optim.AdamW method) (torch.optim.ASGD method) (torch.optim.LBFGS method) (torch.optim.NAdam method) (torch.optim.Optimizer method) (torch.optim.RAdam method) (torch.optim.RMSprop method) (torch.optim.Rprop method) (torch.optim.SGD method) (torch.optim.SparseAdam method) (torch.optim.swa_utils.AveragedModel method) register_mock_hook() (torch.package.PackageExporter 方法) register_module() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) register_module_backward_hook() (在 torch.nn.modules.module 模組中) register_module_buffer_registration_hook() (在 torch.nn.modules.module 模組中) register_module_forward_hook() (在 torch.nn.modules.module 模組中) register_module_forward_pre_hook() (在 torch.nn.modules.module 模組中) register_module_full_backward_hook() (在 torch.nn.modules.module 模組中) register_module_full_backward_pre_hook() (在 torch.nn.modules.module 模組中) register_module_module_registration_hook() (在 torch.nn.modules.module 模組中) register_module_parameter_registration_hook() (在 torch.nn.modules.module 模組中) register_multi_grad_hook (torch.autograd.graph 模組中的類) register_op() (torch.onnx.OnnxRegistry 方法) register_package() (在 torch.serialization 模組中) register_parameter() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) register_parametrization() (在 torch.nn.utils.parametrize 模組中) register_post_accumulate_grad_hook() (torch.Tensor 方法) register_prehook() (torch.autograd.graph.Node 方法) register_sharding() (在 torch.distributed.tensor.experimental 模組中) register_state_dict_post_hook() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.Adadelta method) (torch.optim.Adafactor method) (torch.optim.Adagrad method) (torch.optim.Adam method) (torch.optim.Adamax method) (torch.optim.AdamW method) (torch.optim.ASGD method) (torch.optim.LBFGS method) (torch.optim.NAdam method) (torch.optim.Optimizer method) (torch.optim.RAdam method) (torch.optim.RMSprop method) (torch.optim.Rprop method) (torch.optim.SGD method) (torch.optim.SparseAdam method) (torch.optim.swa_utils.AveragedModel method) register_state_dict_pre_hook() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.Adadelta method) (torch.optim.Adafactor method) (torch.optim.Adagrad method) (torch.optim.Adam method) (torch.optim.Adamax method) (torch.optim.AdamW method) (torch.optim.ASGD method) (torch.optim.LBFGS method) (torch.optim.NAdam method) (torch.optim.Optimizer method) (torch.optim.RAdam method) (torch.optim.RMSprop method) (torch.optim.Rprop method) (torch.optim.SGD method) (torch.optim.SparseAdam method) (torch.optim.swa_utils.AveragedModel method) register_step_post_hook() (torch.optim.Adadelta 方法) (torch.optim.Adafactor method) (torch.optim.Adagrad method) (torch.optim.Adam method) (torch.optim.Adamax method) (torch.optim.AdamW method) (torch.optim.ASGD method) (torch.optim.LBFGS method) (torch.optim.NAdam method) (torch.optim.Optimizer method) (torch.optim.RAdam method) (torch.optim.RMSprop method) (torch.optim.Rprop method) 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模組中的類) RelaxedUnspecConstraint (torch.fx.experimental.symbolic_shapes 模組中的類) release() (torch.distributed.elastic.timer.TimerClient 方法) (torch.onnx.ONNXProgram 方法) ReLU (torch.nn 模組中的類) relu() (在 torch.nn.functional 模組中) ReLU6 (torch.ao.nn.quantized 模組中的類) (class in torch.nn) relu6() (在 torch.nn.functional 模組中) relu_() (在 torch.nn.functional 模組中) remainder() (在 torch 模組中) (torch.Tensor method) remainder_() (torch.Tensor 方法) remote() (在 torch.distributed.rpc 模組中) (torch.distributed.rpc.PyRRef method) remote_parameters() (torch.distributed.nn.api.remote_module.RemoteModule 方法) RemoteModule (torch.distributed.nn.api.remote_module 模組中的類) remove() (在 torch.nn.utils.prune 模組中) (torch.nn.utils.prune.BasePruningMethod 方法) (torch.nn.utils.prune.CustomFromMask method) (torch.nn.utils.prune.Identity method) (torch.nn.utils.prune.L1Unstructured method) (torch.nn.utils.prune.LnStructured method) (torch.nn.utils.prune.PruningContainer method) (torch.nn.utils.prune.RandomStructured method) (torch.nn.utils.prune.RandomUnstructured method) remove_parametrizations() (在 torch.nn.utils.parametrize 模組中) remove_spectral_norm() (在 torch.nn.utils 模組中) remove_weight_norm() (在 torch.nn.utils 模組中) rename() (torch.Tensor 方法) rename_() (torch.Tensor 方法) rename_privateuse1_backend() (在 torch.utils 模組中) render() (torch.fx.experimental.symbolic_shapes.StrictMinMaxConstraint 方法) RendezvousBackend (torch.distributed.elastic.rendezvous.dynamic_rendezvous 模組中的類) RendezvousClosedError (torch.distributed.elastic.rendezvous.api 模組中的類) RendezvousConnectionError (torch.distributed.elastic.rendezvous.api 模組中的類) RendezvousError (torch.distributed.elastic.rendezvous.api 模組中的類) RendezvousGracefulExitError (torch.distributed.elastic.rendezvous.api 模組中的類) RendezvousHandler (torch.distributed.elastic.rendezvous 模組中的類) RendezvousHandlerRegistry (torch.distributed.elastic.rendezvous 模組中的類) RendezvousInfo (torch.distributed.elastic.rendezvous 模組中的類) RendezvousParameters (torch.distributed.elastic.rendezvous 模組中的類) RendezvousStateError (torch.distributed.elastic.rendezvous.api 模組中的類) RendezvousStoreInfo (在 torch.distributed.elastic.rendezvous.api 中的類) RendezvousTimeout (在 torch.distributed.elastic.rendezvous.dynamic_rendezvous 中的類) RendezvousTimeoutError (在 torch.distributed.elastic.rendezvous.api 中的類) renorm() (在 torch 模組中) (torch.Tensor method) renorm_() (torch.Tensor 方法) repeat() (torch.Tensor 方法) repeat_interleave() (在 torch 模組中) (torch.Tensor method) replace() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) replace_all_batch_norm_modules_() (在 torch.func 模組中) replace_all_uses() (torch.export.graph_signature.ExportGraphSignature 方法) replace_all_uses_with() (torch.fx.Node 方法) replace_input_with() (torch.fx.Node 方法) replace_pattern() (在 torch.fx 模組中) replay() (torch.cuda.CUDAGraph 方法) Replicate (在 torch.distributed.tensor.placement_types 中的類) ReplicationPad1d (在 torch.nn 中的類) ReplicationPad2d (在 torch.nn 中的類) ReplicationPad3d (在 torch.nn 中的類) requires_grad (torch.Tensor 屬性) requires_grad_() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) (torch.Tensor method) reset() (在 torch.compiler 模組中) (torch.cuda.CUDAGraph 方法) (torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader 方法) (torch.distributed.checkpoint.StorageReader 方法) (torch.distributed.checkpoint.StorageWriter 方法) (torch.quasirandom.SobolEngine 方法) reset_accumulated_memory_stats() (在 torch.xpu 模組中) reset_max_memory_allocated() (在 torch.cuda 模組中) reset_max_memory_cached() (在 torch.cuda 模組中) reset_min_max_vals() (torch.ao.quantization.observer.MinMaxObserver 方法) (torch.ao.quantization.observer.PerChannelMinMaxObserver 方法) reset_parameters() (torch.nn.modules.normalization.RMSNorm 方法) (torch.nn.RMSNorm 方法) reset_peak_host_memory_stats() (在 torch.cuda 模組中) reset_peak_memory_stats() (在 torch.cuda 模組中) (在模組 torch.xpu 中) reshape() (在 torch 模組中) (torch.Tensor method) reshape_as() (torch.Tensor 方法) ReshapeTransform (在 torch.distributions.transforms 中的類) reshard() (torch.distributed.fsdp.FSDPModule 方法) resizable() (torch.TypedStorage 方法) (torch.UntypedStorage method) resize_() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) resize_as_() (torch.Tensor 方法) resolve_bytes() (torch.distributed.checkpoint.LoadPlanner 方法) resolve_conj() (在 torch 模組中) (torch.Tensor method) resolve_data() (torch.distributed.checkpoint.SavePlanner 方法) resolve_name() (在 torch.overrides 模組中) resolve_neg() (在 torch 模組中) (torch.Tensor method) resolve_tensor() (torch.distributed.checkpoint.LoadPlanner 方法) resolve_unbacked_bindings() (在 torch.fx.experimental.symbolic_shapes 模組中) result() (torch.distributed.Work 方法) result_type() (在 torch 模組中) retain_grad() (torch.Tensor 方法) retains_grad (torch.Tensor 屬性) rewrite_with_congruences() (torch.fx.experimental.symbolic_shapes.DimConstraints 方法) rfft() (在 torch.fft 模組中) rfft2() (在 torch.fft 模組中) rfftfreq() (在 torch.fft 模組中) rfftn() (在 torch.fft 模組中) right_inverse() (torch.nn.utils.parametrize.ParametrizationList 方法) rms_norm() (在 torch.nn.functional 模組中) RMSNorm (在 torch.nn 中的類) (在 torch.nn.modules.normalization 中的類) RMSprop (在 torch.optim 中的類) RNN (在 torch.nn 中的類) RNNBase (在 torch.nn 中的類) RNNCell (在 torch.ao.nn.quantized.dynamic 中的類) (class in torch.nn) roll() (在 torch 模組中) (torch.Tensor method) rot90() (在 torch 模組中) (torch.Tensor method) round() (在 torch 模組中) (在模組 torch.special 中) (torch.Tensor method) round_() (torch.Tensor 方法) row_indices() (torch.Tensor 方法) row_stack() (在 torch 模組中) RowwiseParallel (在 torch.distributed.tensor.parallel 中的類) rpc_async() (在 torch.distributed.rpc 模組中) (torch.distributed.rpc.PyRRef method) rpc_sync() (在 torch.distributed.rpc 模組中) (torch.distributed.rpc.PyRRef method) rpc_timeout (torch.distributed.rpc.RpcBackendOptions 屬性) (torch.distributed.rpc.TensorPipeRpcBackendOptions 屬性) RpcBackendOptions (在 torch.distributed.rpc 中的類) Rprop (在 torch.optim 中的類) RReLU (在 torch.nn 中的類) rrelu() (在 torch.nn.functional 模組中) rrelu_() (在 torch.nn.functional 模組中) rsample() (torch.distributions.beta.Beta 方法) (torch.distributions.cauchy.Cauchy 方法) (torch.distributions.continuous_bernoulli.ContinuousBernoulli 方法) (torch.distributions.dirichlet.Dirichlet 方法) (torch.distributions.distribution.Distribution 方法) (torch.distributions.exponential.Exponential 方法) (torch.distributions.fishersnedecor.FisherSnedecor 方法) (torch.distributions.gamma.Gamma 方法) (torch.distributions.independent.Independent 方法) (torch.distributions.laplace.Laplace 方法) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal 方法) (torch.distributions.multivariate_normal.MultivariateNormal 方法) (torch.distributions.normal.Normal 方法) (torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli 方法) (torch.distributions.studentT.StudentT 方法) (torch.distributions.transformed_distribution.TransformedDistribution 方法) (torch.distributions.uniform.Uniform 方法) (torch.distributions.wishart.Wishart 方法) rsqrt() (在 torch 模組中) (torch.Tensor method) rsqrt_() (torch.Tensor 方法) run() (torch.distributed.elastic.agent.server.ElasticAgent 方法) (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts 方法) (torch.fx.Interpreter method) run_decompositions() (torch.export.ExportedProgram 方法) run_node() (torch.fx.experimental.symbolic_shapes.PropagateUnbackedSymInts 方法) (torch.fx.Interpreter method) RunProcsResult (在 torch.distributed.elastic.multiprocessing.api 中的類) RunResult (在 torch.distributed.elastic.agent.server.api 中的類) S safe_globals (在 torch.serialization 中的類) sample() (torch.distributions.bernoulli.Bernoulli 方法) (torch.distributions.binomial.Binomial 方法) (torch.distributions.categorical.Categorical 方法) (torch.distributions.continuous_bernoulli.ContinuousBernoulli 方法) (torch.distributions.distribution.Distribution 方法) (torch.distributions.geometric.Geometric 方法) (torch.distributions.independent.Independent 方法) (torch.distributions.lkj_cholesky.LKJCholesky 方法) (torch.distributions.mixture_same_family.MixtureSameFamily 方法) (torch.distributions.multinomial.Multinomial 方法) (torch.distributions.negative_binomial.NegativeBinomial 方法) (torch.distributions.normal.Normal 方法) (torch.distributions.one_hot_categorical.OneHotCategorical 方法) (torch.distributions.poisson.Poisson 方法) (torch.distributions.transformed_distribution.TransformedDistribution 方法) (torch.distributions.von_mises.VonMises 方法) sample_n() (torch.distributions.distribution.Distribution 方法) sampled_addmm() (在 torch.sparse 模組中) Sampler (在 torch.utils.data 中的類) save() (在 torch 模組中) (在 torch.distributed.checkpoint.state_dict_saver 模組中) (在模組 torch.export 中) (在模組 torch.jit 中) (torch.jit.ScriptFunction 方法) (torch.jit.ScriptModule method) (torch.onnx.ONNXProgram 方法) save_binary() (torch.package.PackageExporter 方法) save_for_backward() (torch.autograd.function.BackwardCFunction 方法) (torch.autograd.function.FunctionCtx 方法) (torch.autograd.function.InplaceFunction 方法) (torch.autograd.function.NestedIOFunction method) save_for_forward() (torch.autograd.function.BackwardCFunction 方法) (torch.autograd.function.InplaceFunction 方法) (torch.autograd.function.NestedIOFunction method) save_module() (torch.package.PackageExporter 方法) save_on_cpu (在 torch.autograd.graph 中的類) save_pickle() (torch.package.PackageExporter 方法) save_source_file() (torch.package.PackageExporter 方法) save_source_string() (torch.package.PackageExporter 方法) save_state_dict() (在 torch.distributed.checkpoint.state_dict_saver 模組中) save_storage() (torch.cuda.gds.GdsFile 方法) save_text() (torch.package.PackageExporter 方法) save_to_buffer() (torch.jit.ScriptFunction 方法) saved_tensors (torch.autograd.function.NestedIOFunction 屬性) saved_tensors_hooks (在 torch.autograd.graph 中的類) SavePlan (在 torch.distributed.checkpoint 中的類) SavePlanner (在 torch.distributed.checkpoint 中的類) scalar_name() (torch.onnx.JitScalarType 方法) scale (torch.distributions.half_cauchy.HalfCauchy 屬性) (torch.distributions.half_normal.HalfNormal 屬性) (torch.distributions.log_normal.LogNormal 屬性) scale_fn() (torch.optim.lr_scheduler.CyclicLR 方法) scale_tril (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal 屬性) (torch.distributions.multivariate_normal.MultivariateNormal 屬性) (torch.distributions.wishart.Wishart 屬性) scaled_dot_product_attention() (在 torch.nn.functional 模組中) scaled_modified_bessel_k0() (在 torch.special 模組中) scaled_modified_bessel_k1() (在 torch.special 模組中) scatter() (在 torch 模組中) (在 torch.cuda.comm 模組中) (in module torch.distributed) (torch.Tensor method) scatter_() (torch.Tensor 方法) scatter_add() (在 torch 模組中) (torch.Tensor method) scatter_add_() (torch.Tensor 方法) scatter_full_optim_state_dict() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) scatter_object_list() (在 torch.distributed 模組中) scatter_reduce() (在 torch 模組中) (torch.Tensor method) scatter_reduce_() (torch.Tensor 方法) schedule() (在 torch.profiler 模組中) Schedule1F1B (在 torch.distributed.pipelining.schedules 中的類) ScheduleGPipe (在 torch.distributed.pipelining.schedules 中的類) ScheduleInterleaved1F1B (在 torch.distributed.pipelining.schedules 中的類) ScheduleInterleavedZeroBubble (在 torch.distributed.pipelining.schedules 中的類) ScheduleLoopedBFS (在 torch.distributed.pipelining.schedules 中的類) ScheduleZBVZeroBubble (在 torch.distributed.pipelining.schedules 中的類) script() (在 torch.jit 模組中) script_if_tracing() (在 torch.jit 模組中) ScriptFunction (在 torch.jit 中的類) ScriptModule (在 torch.jit 中的類) sdp_kernel() (在 torch.backends.cuda 模組中) sdpa_kernel() (在 torch.nn.attention 模組中) SDPAParams (在 torch.backends.cuda 中的類) SDPBackend (在 torch.nn.attention 中的類) searchsorted() (在 torch 模組中) see() (torch.autograd.profiler.EnforceUnique 方法) seed() (在 torch 模組中) (在模組 torch.cuda 中) (在模組 torch.mps 中) (在 torch.random 模組中) (在模組 torch.xpu 中) (torch.Generator 方法) seed_all() (在 torch.cuda 模組中) (在模組 torch.xpu 中) select() (在 torch 模組中) (torch.Tensor method) select_model_mode_for_export() (在 torch.onnx 模組中) select_scatter() (在 torch 模組中) (torch.Tensor method) SelectiveCheckpointContext (在 torch.utils.checkpoint 中的類) self_cpu_time_total (torch.autograd.profiler.profile 屬性) SELU (在 torch.nn 中的類) selu() (在 torch.nn.functional 模組中) send() (在 torch.distributed 模組中) send_object_list() (在 torch.distributed 模組中) seq_lengths (torch.nn.attention.flex_attention.BlockMask 屬性) SequenceParallel (在 torch.distributed.tensor.parallel 中的類) Sequential (在 torch.nn 中的類) SequentialLR (在 torch.optim.lr_scheduler 中的類) SequentialSampler (在 torch.utils.data 中的類) set() (torch.distributed.elastic.rendezvous.etcd_store.EtcdStore 方法) (torch.distributed.Store method) set_() (torch.Tensor 方法) set_all_reduce_hook() (torch.distributed.fsdp.FSDPModule 方法) set_backend_pattern_config() (torch.ao.quantization.backend_config.BackendConfig 方法) set_backend_pattern_configs() (torch.ao.quantization.backend_config.BackendConfig 方法) set_buffer() (在 torch.distributed.GradBucket 模組中) set_checkpoint_debug_enabled() (在 torch.utils.checkpoint 模組中) set_closed() (torch.distributed.elastic.rendezvous.RendezvousHandler 方法) set_codegen() (torch.fx.Graph 方法) set_crc32_options() (在 torch.serialization 模組中) set_custom_trace_id_callback() (torch.profiler.profile 方法) set_default_device() (在 torch 模組中) set_default_dtype() (在 torch 模組中) set_default_load_endianness() (在 torch.serialization 模組中) set_default_mmap_options() (在 torch.serialization 模組中) set_default_tensor_type() (在 torch 模組中) set_default_validate_args() (torch.distributions.distribution.Distribution 靜態方法) set_detect_anomaly (在 torch.autograd 中的類) set_deterministic_debug_mode() (在 torch 模組中) set_device() (在 torch.cpu 模組中) (在模組 torch.cuda 中) (在模組 torch.mtia 中) (在模組 torch.xpu 中) set_device_idx() (在 torch.accelerator 模組中) set_device_index() (在 torch.accelerator 模組中) set_device_map() (torch.distributed.rpc.TensorPipeRpcBackendOptions 方法) set_devices() (torch.distributed.rpc.TensorPipeRpcBackendOptions 方法) set_dir() (在 torch.hub 模組中) set_dtype_configs() (torch.ao.quantization.backend_config.BackendPatternConfig 方法) set_exception() (torch.futures.Future 方法) set_extra_state() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) set_fastpath_enabled() (在 torch.backends.mha 模組中) set_filename() (在 torch.cuda.tunable 模組中) set_flags() (在 torch.backends.nnpack 模組中) set_float32_matmul_precision() (在 torch 模組中) set_float_to_observed_mapping() (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) set_flush_denormal() (在 torch 模組中) set_fused_module() (torch.ao.quantization.backend_config.BackendPatternConfig 方法) set_fuser_method() (torch.ao.quantization.backend_config.BackendPatternConfig 方法) set_fusion_strategy() (在 torch.jit 模組中) set_global() (torch.ao.quantization.qconfig_mapping.QConfigMapping 方法) set_grad_enabled (在 torch.autograd.grad_mode 中的類) set_input_quantized_indexes() (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) set_is_last_backward() (torch.distributed.fsdp.FSDPModule 方法) set_kernel_enabled() (torch._library.custom_ops.CustomOpDef 方法) set_logs() (在 torch._logging 模組中) set_materialize_grads() (torch.autograd.function.BackwardCFunction 方法) (torch.autograd.function.FunctionCtx 方法) (torch.autograd.function.InplaceFunction 方法) (torch.autograd.function.NestedIOFunction method) set_max_tuning_duration() (在 torch.cuda.tunable 模組中) set_max_tuning_iterations() (在 torch.cuda.tunable 模組中) set_model_state_dict() (在 torch.distributed.checkpoint.state_dict 模組中) set_module() (在 torch.utils 模組中) set_module_name() (torch.ao.quantization.qconfig_mapping.QConfigMapping 方法) set_module_name_object_type_order() (torch.ao.quantization.qconfig_mapping.QConfigMapping 方法) set_module_name_regex() (torch.ao.quantization.qconfig_mapping.QConfigMapping 方法) set_modules_to_backward_prefetch() (torch.distributed.fsdp.FSDPModule 方法) set_modules_to_forward_prefetch() (torch.distributed.fsdp.FSDPModule 方法) set_multithreading_enabled (在 torch.autograd.grad_mode 中的類) set_name() (torch.ao.quantization.backend_config.BackendConfig 方法) set_non_traceable_module_classes() (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) set_non_traceable_module_names() (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) set_num_interop_threads() (在 torch 模組中) set_num_threads() (在 torch 模組中) set_object_type() (torch.ao.quantization.qconfig_mapping.QConfigMapping 方法) set_observation_type() (torch.ao.quantization.backend_config.BackendPatternConfig 方法) set_observed_to_quantized_mapping() (torch.ao.quantization.fx.custom_config.ConvertCustomConfig 方法) set_optimizer_state_dict() (在 torch.distributed.checkpoint.state_dict 模組中) set_output_quantized_indexes() (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) set_overwrite_module_params_on_conversion() (在 torch.__future__ 模組中) set_pattern() (torch.ao.quantization.backend_config.BackendPatternConfig 方法) set_per_process_memory_fraction() (在 torch.cuda 模組中) (在模組 torch.mps 中) set_post_optim_event() (torch.distributed.fsdp.FSDPModule 方法) set_preserved_attributes() (torch.ao.quantization.fx.custom_config.ConvertCustomConfig 方法) (torch.ao.quantization.fx.custom_config.FuseCustomConfig 方法) (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) set_printoptions() (在 torch 模組中) set_qat_module() (torch.ao.quantization.backend_config.BackendPatternConfig 方法) set_reduce_scatter_divide_factor() (torch.distributed.fsdp.FSDPModule 方法) set_reference_quantized_module() (torch.ao.quantization.backend_config.BackendPatternConfig 方法) set_requires_all_reduce() (torch.distributed.fsdp.FSDPModule 方法) set_requires_gradient_sync() (torch.distributed.fsdp.FSDPModule 方法) set_reshard_after_backward() (torch.distributed.fsdp.FSDPModule 方法) set_result() (torch.futures.Future 方法) set_rng_state() (在 torch 模組中) (在模組 torch.cuda 中) (在模組 torch.mps 中) (在模組 torch.mtia 中) (在 torch.random 模組中) (在模組 torch.xpu 中) set_rng_state_all() (在 torch.cuda 模組中) (在模組 torch.xpu 中) set_root_module() (torch.ao.quantization.backend_config.BackendPatternConfig 方法) set_rotating_buffer_size() (在 torch.cuda.tunable 模組中) set_sharing_strategy() (在 torch.multiprocessing 模組中) set_stance() (在 torch.compiler 模組中) set_standalone_module_class() (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) set_standalone_module_name() (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) set_state() (torch.distributed.elastic.rendezvous.c10d_rendezvous_backend.C10dRendezvousBackend 方法) (torch.distributed.elastic.rendezvous.dynamic_rendezvous.RendezvousBackend 方法) (torch.distributed.elastic.rendezvous.etcd_rendezvous_backend.EtcdRendezvousBackend 方法) (torch.Generator 方法) set_state_dict() (在 torch.distributed.checkpoint.state_dict 模組中) set_state_dict_type() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) set_stream() (在 torch.accelerator 模組中) (在模組 torch.cuda 中) (在模組 torch.mtia 中) (在模組 torch.xpu 中) set_submodule() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) set_swap_module_params_on_conversion() (在 torch.__future__ 模組中) set_sync_debug_mode() (在 torch.cuda 模組中) set_timeout() (torch.distributed.Store 方法) set_unbacked_var_to_val() (torch.fx.experimental.symbolic_shapes.ShapeEnv 方法) set_unshard_in_backward() (torch.distributed.fsdp.FSDPModule 方法) set_up_planner() (torch.distributed.checkpoint.format_utils.DynamicMetaLoadPlanner 方法) (torch.distributed.checkpoint.LoadPlanner 方法) (torch.distributed.checkpoint.SavePlanner 方法) set_up_storage_reader() (torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader 方法) (torch.distributed.checkpoint.StorageReader 方法) set_up_storage_writer() (torch.distributed.checkpoint.StorageWriter 方法) set_warn_always() (在 torch 模組中) setdefault() (torch.autograd.profiler_util.StringTable 方法) (torch.nn.ParameterDict 方法) setup_context() (torch.autograd.function.InplaceFunction 靜態方法) (torch.autograd.function.NestedIOFunction 靜態方法) SGD (在 torch.optim 中的類) sgn() (在 torch 模組中) (torch.Tensor method) sgn_() (torch.Tensor 方法) Shadow (在 torch.ao.ns._numeric_suite 中的類) ShadowLogger (在 torch.ao.ns._numeric_suite 中的類) shape (torch.nn.attention.flex_attention.BlockMask 屬性) (torch.Tensor 屬性) ShapeEnv (在 torch.fx.experimental.symbolic_shapes 中的類) ShapeEnvSettings (在 torch.fx.experimental.symbolic_shapes 中的類) ShapesCollection (在 torch.export.dynamic_shapes 中的類) Shard (在 torch.distributed.tensor.placement_types 中的類) shard_full_optim_state_dict() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) sharded_optim_state_dict() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) ShardedOptimStateDictConfig (在 torch.distributed.fsdp 中的類) ShardedStateDictConfig (在 torch.distributed.fsdp 中的類) ShardingStrategy (在 torch.distributed.fsdp 中的類) share_memory() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) share_memory_() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) short() 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(torch.optim.lr_scheduler.PolynomialLR 方法) (torch.optim.lr_scheduler.ReduceLROnPlateau 方法) (torch.optim.lr_scheduler.SequentialLR 方法) (torch.optim.lr_scheduler.StepLR 方法) (torch.optim.NAdam method) (torch.optim.Optimizer method) (torch.optim.RAdam method) (torch.optim.RMSprop method) (torch.optim.Rprop method) (torch.optim.SGD method) (torch.optim.SparseAdam method) (torch.optim.swa_utils.SWALR 方法) (torch.profiler.profile 方法) StepLR (在 torch.optim.lr_scheduler 中的類) stft() (在 torch 模組中) (torch.Tensor method) StickBreakingTransform (在 torch.distributions.transforms 中的類) stop() (在 torch.mps.profiler 模組中) (torch.distributed.elastic.agent.server.health_check_server.HealthCheckServer 方法) storage() (torch.Tensor 方法) storage_meta() (torch.distributed.checkpoint.StorageWriter 方法) storage_offset() (torch.Tensor 方法) storage_type() (torch.Tensor 方法) StorageReader (在 torch.distributed.checkpoint 中的類) StorageWriter (在 torch.distributed.checkpoint 中的類) Store (在 torch.distributed 中的類) strategy (在 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(torch.Tensor method) subtract_() (torch.Tensor 方法) sum() (在 torch 模組中) (in module torch.sparse) (torch.Tensor method) sum_to_size() (torch.Tensor 方法) SummaryWriter (在 torch.utils.tensorboard.writer 中的類) summon_full_params() (torch.distributed.fsdp.FullyShardedDataParallel 靜態方法) support (torch.distributions.bernoulli.Bernoulli 屬性) (torch.distributions.beta.Beta attribute) (torch.distributions.binomial.Binomial 屬性) (torch.distributions.categorical.Categorical 屬性) (torch.distributions.cauchy.Cauchy attribute) (torch.distributions.continuous_bernoulli.ContinuousBernoulli attribute) (torch.distributions.dirichlet.Dirichlet attribute) (torch.distributions.distribution.Distribution property) (torch.distributions.exponential.Exponential attribute) (torch.distributions.fishersnedecor.FisherSnedecor attribute) (torch.distributions.gamma.Gamma attribute) (torch.distributions.geometric.Geometric attribute) (torch.distributions.gumbel.Gumbel attribute) (torch.distributions.half_cauchy.HalfCauchy attribute) (torch.distributions.half_normal.HalfNormal attribute) (torch.distributions.independent.Independent 屬性) (torch.distributions.inverse_gamma.InverseGamma attribute) (torch.distributions.kumaraswamy.Kumaraswamy attribute) (torch.distributions.laplace.Laplace attribute) (torch.distributions.lkj_cholesky.LKJCholesky attribute) (torch.distributions.log_normal.LogNormal attribute) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal attribute) (torch.distributions.mixture_same_family.MixtureSameFamily 屬性) (torch.distributions.multinomial.Multinomial 屬性) (torch.distributions.multivariate_normal.MultivariateNormal attribute) (torch.distributions.negative_binomial.NegativeBinomial attribute) (torch.distributions.normal.Normal attribute) (torch.distributions.one_hot_categorical.OneHotCategorical attribute) (torch.distributions.pareto.Pareto 屬性) (torch.distributions.poisson.Poisson attribute) (torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli attribute) 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sym_fresh_size() (在 torch 模組中) sym_int() (在 torch 模組中) sym_ite() (在 torch 模組中) sym_max() (在 torch 模組中) sym_min() (在 torch 模組中) sym_not() (在 torch 模組中) sym_sum() (在 torch 模組中) symbolic_trace() (在 torch.fx 模組中) SymbolicContext (在 torch.fx.experimental.symbolic_shapes 中的類) SymBool (在 torch 中的類) SymBoolArgument (在 torch.export.graph_signature 中的類) SymFloat (在 torch 中的類) SymFloatArgument (在 torch.export.graph_signature 中的類) SymInt (在 torch 中的類) SymIntArgument (在 torch.export.graph_signature 中的類) SyncBatchNorm (在 torch.nn 中的類) synchronize() (在 torch.accelerator 模組中) (在模組 torch.cpu 中) (在模組 torch.cuda 中) (在模組 torch.mps 中) (在模組 torch.mtia 中) (在模組 torch.xpu 中) (torch.cuda.Event 方法) (torch.cuda.ExternalStream 方法) (torch.cuda.Stream 方法) (torch.distributed.Work 方法) (torch.Event 方法) (torch.mps.event.Event 方法) (torch.mtia.Event 方法) (torch.mtia.Stream 方法) (torch.Stream 方法) (torch.xpu.Event 方法) (torch.xpu.Stream 方法) synchronize_staging() (torch.distributed.checkpoint.staging.AsyncStager 方法) (torch.distributed.checkpoint.staging.BlockingAsyncStager 方法) T T (torch.Tensor 屬性) t() (在 torch 模組中) (torch.Tensor method) t_() (torch.Tensor 方法) Tag (在 torch 中的類) take() (在 torch 模組中) (torch.Tensor method) take_along_dim() (在 torch 模組中) (torch.Tensor method) tan() (在 torch 模組中) (torch.Tensor method) tan_() (torch.Tensor 方法) tangent (torch.autograd.forward_ad.UnpackedDualTensor 屬性) Tanh (在 torch.nn 中的類) tanh() (在 torch 模組中) (在 torch.nn.functional 模組中) (torch.Tensor method) tanh_() (torch.Tensor 方法) Tanhshrink (在 torch.nn 中的類) tanhshrink() (在 torch.nn.functional 模組中) TanhTransform (在 torch.distributions.transforms 中的類) TCPStore (在 torch.distributed 中的類) temperature (torch.distributions.relaxed_bernoulli.RelaxedBernoulli 屬性) (torch.distributions.relaxed_categorical.RelaxedOneHotCategorical 屬性) temperature() (在 torch.cuda 模組中) Tensor (在 torch 中的類) tensor() (在 torch 模組中) tensor_split() (在 torch 模組中) (torch.Tensor method) tensor_storage_size() 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(torch.nn.attention.flex_attention.BlockMask 方法) (torch.nn.Module method) (torch.nn.utils.rnn.PackedSequence 方法) (torch.optim.swa_utils.AveragedModel method) (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) to_bool() (torch.fx.Tracer 方法) to_dense() (torch.nn.attention.flex_attention.BlockMask 方法) (torch.Tensor method) to_dict() (torch.ao.quantization.backend_config.BackendConfig 方法) (torch.ao.quantization.backend_config.BackendPatternConfig 方法) (torch.ao.quantization.backend_config.DTypeConfig 方法) (torch.ao.quantization.fx.custom_config.ConvertCustomConfig 方法) (torch.ao.quantization.fx.custom_config.FuseCustomConfig 方法) (torch.ao.quantization.fx.custom_config.PrepareCustomConfig 方法) (torch.ao.quantization.qconfig_mapping.QConfigMapping 方法) to_dlpack() (在 torch.utils.dlpack 模組中) to_empty() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) to_folder() (torch.fx.GraphModule 方法) to_here() (torch.distributed.rpc.PyRRef 方法) to_local() (torch.distributed.tensor.DTensor 方法) to_mkldnn() (torch.Tensor 方法) to_padded_tensor() (在 torch.nested 模組中) to_sparse() (torch.Tensor 方法) to_sparse_bsc() (torch.Tensor 方法) to_sparse_bsr() (torch.Tensor 方法) to_sparse_coo() (torch.Tensor 方法) to_sparse_csc() (torch.Tensor 方法) to_sparse_csr() (torch.Tensor 方法) to_string() (torch.nn.attention.flex_attention.BlockMask 方法) toggle_collection_dynamic() (torch.profiler._KinetoProfile 方法) tolist() (torch.Tensor 方法) (torch.TypedStorage method) (torch.UntypedStorage method) topk() (在 torch 模組中) (torch.Tensor method) torch module torch.__config__ module torch.__future__ module torch._logging module torch.accelerator module torch.amp module torch.amp.autocast_mode module torch.amp.grad_scaler module torch.ao module torch.ao.nn module torch.ao.nn.intrinsic module torch.ao.nn.intrinsic.modules module torch.ao.nn.intrinsic.modules.fused module torch.ao.nn.intrinsic.qat module torch.ao.nn.intrinsic.qat.modules module torch.ao.nn.intrinsic.qat.modules.conv_fused module torch.ao.nn.intrinsic.qat.modules.linear_fused module torch.ao.nn.intrinsic.qat.modules.linear_relu module torch.ao.nn.intrinsic.quantized module torch.ao.nn.intrinsic.quantized.dynamic module torch.ao.nn.intrinsic.quantized.dynamic.modules module torch.ao.nn.intrinsic.quantized.dynamic.modules.linear_relu module torch.ao.nn.intrinsic.quantized.modules module torch.ao.nn.intrinsic.quantized.modules.bn_relu module torch.ao.nn.intrinsic.quantized.modules.conv_add module torch.ao.nn.intrinsic.quantized.modules.conv_relu module torch.ao.nn.intrinsic.quantized.modules.linear_relu module torch.ao.nn.qat module torch.ao.nn.qat.dynamic module torch.ao.nn.qat.dynamic.modules module torch.ao.nn.qat.dynamic.modules.linear module torch.ao.nn.qat.modules module torch.ao.nn.qat.modules.conv module torch.ao.nn.qat.modules.embedding_ops module torch.ao.nn.qat.modules.linear module torch.ao.nn.quantizable module torch.ao.nn.quantizable.modules module torch.ao.nn.quantizable.modules.activation module torch.ao.nn.quantizable.modules.rnn module torch.ao.nn.quantized module torch.ao.nn.quantized.dynamic module torch.ao.nn.quantized.dynamic.modules module torch.ao.nn.quantized.dynamic.modules.conv module torch.ao.nn.quantized.dynamic.modules.linear module torch.ao.nn.quantized.dynamic.modules.rnn module torch.ao.nn.quantized.functional module torch.ao.nn.quantized.modules module torch.ao.nn.quantized.modules.activation module torch.ao.nn.quantized.modules.batchnorm module torch.ao.nn.quantized.modules.conv module torch.ao.nn.quantized.modules.dropout module torch.ao.nn.quantized.modules.embedding_ops module torch.ao.nn.quantized.modules.functional_modules module torch.ao.nn.quantized.modules.linear module torch.ao.nn.quantized.modules.normalization module torch.ao.nn.quantized.modules.rnn module torch.ao.nn.quantized.modules.utils module torch.ao.nn.quantized.reference module torch.ao.nn.quantized.reference.modules module torch.ao.nn.quantized.reference.modules.conv module torch.ao.nn.quantized.reference.modules.linear module torch.ao.nn.quantized.reference.modules.rnn module torch.ao.nn.quantized.reference.modules.sparse module torch.ao.nn.quantized.reference.modules.utils module torch.ao.nn.sparse module torch.ao.nn.sparse.quantized module torch.ao.nn.sparse.quantized.dynamic module torch.ao.nn.sparse.quantized.dynamic.linear module torch.ao.nn.sparse.quantized.linear module torch.ao.nn.sparse.quantized.utils module torch.ao.ns module torch.ao.ns._numeric_suite module torch.ao.ns._numeric_suite_fx module torch.ao.ns.fx module torch.ao.ns.fx.graph_matcher module torch.ao.ns.fx.graph_passes module torch.ao.ns.fx.mappings module torch.ao.ns.fx.n_shadows_utils module torch.ao.ns.fx.ns_types module torch.ao.ns.fx.pattern_utils module torch.ao.ns.fx.qconfig_multi_mapping module torch.ao.ns.fx.utils module torch.ao.ns.fx.weight_utils module torch.ao.pruning module torch.ao.pruning.scheduler module torch.ao.pruning.scheduler.base_scheduler module torch.ao.pruning.scheduler.cubic_scheduler module torch.ao.pruning.scheduler.lambda_scheduler module torch.ao.pruning.sparsifier module torch.ao.pruning.sparsifier.base_sparsifier module torch.ao.pruning.sparsifier.nearly_diagonal_sparsifier module torch.ao.pruning.sparsifier.utils module torch.ao.pruning.sparsifier.weight_norm_sparsifier module torch.ao.quantization module torch.ao.quantization.backend_config module torch.ao.quantization.backend_config.backend_config module torch.ao.quantization.backend_config.executorch module torch.ao.quantization.backend_config.fbgemm module torch.ao.quantization.backend_config.native module torch.ao.quantization.backend_config.observation_type module torch.ao.quantization.backend_config.onednn module torch.ao.quantization.backend_config.qnnpack module torch.ao.quantization.backend_config.tensorrt module torch.ao.quantization.backend_config.utils module torch.ao.quantization.backend_config.x86 module torch.ao.quantization.fake_quantize module torch.ao.quantization.fuse_modules module torch.ao.quantization.fuser_method_mappings module torch.ao.quantization.fx module torch.ao.quantization.fx.convert module torch.ao.quantization.fx.custom_config module torch.ao.quantization.fx.fuse module torch.ao.quantization.fx.fuse_handler module torch.ao.quantization.fx.graph_module module torch.ao.quantization.fx.lower_to_fbgemm module torch.ao.quantization.fx.lower_to_qnnpack module torch.ao.quantization.fx.lstm_utils module torch.ao.quantization.fx.match_utils module torch.ao.quantization.fx.pattern_utils module torch.ao.quantization.fx.prepare module torch.ao.quantization.fx.qconfig_mapping_utils module torch.ao.quantization.fx.quantize_handler module torch.ao.quantization.fx.tracer module torch.ao.quantization.fx.utils module torch.ao.quantization.observer module torch.ao.quantization.pt2e module torch.ao.quantization.pt2e.duplicate_dq_pass module torch.ao.quantization.pt2e.export_utils module torch.ao.quantization.pt2e.graph_utils module torch.ao.quantization.pt2e.port_metadata_pass module torch.ao.quantization.pt2e.prepare module torch.ao.quantization.pt2e.qat_utils module torch.ao.quantization.pt2e.representation module torch.ao.quantization.pt2e.representation.rewrite module torch.ao.quantization.pt2e.utils module torch.ao.quantization.qconfig module torch.ao.quantization.qconfig_mapping module torch.ao.quantization.quant_type module torch.ao.quantization.quantization_mappings module torch.ao.quantization.quantize_fx module torch.ao.quantization.quantize_jit module torch.ao.quantization.quantize_pt2e module torch.ao.quantization.quantizer module torch.ao.quantization.quantizer.composable_quantizer module torch.ao.quantization.quantizer.embedding_quantizer module torch.ao.quantization.quantizer.quantizer module torch.ao.quantization.quantizer.utils module torch.ao.quantization.quantizer.x86_inductor_quantizer module torch.ao.quantization.quantizer.xnnpack_quantizer module torch.ao.quantization.quantizer.xnnpack_quantizer_utils module torch.ao.quantization.quantizer.xpu_inductor_quantizer module torch.ao.quantization.stubs module torch.ao.quantization.utils module torch.autograd module torch.autograd.anomaly_mode module torch.autograd.forward_ad module torch.autograd.function module torch.autograd.functional module torch.autograd.grad_mode module torch.autograd.gradcheck module torch.autograd.graph module torch.autograd.profiler module torch.autograd.profiler_legacy module torch.autograd.profiler_util module torch.autograd.variable module torch.backends module torch.backends.cpu module torch.backends.cuda module torch.backends.cudnn module torch.backends.cudnn.rnn module torch.backends.cusparselt module torch.backends.kleidiai module torch.backends.mha module torch.backends.mkl module torch.backends.mkldnn module torch.backends.mps module torch.backends.nnpack module torch.backends.openmp module torch.backends.opt_einsum module torch.backends.quantized module torch.backends.xeon module torch.backends.xeon.run_cpu module torch.backends.xnnpack module torch.compiler module torch.compiler.config module torch.contrib module torch.cpu module torch.cpu.amp module torch.cpu.amp.autocast_mode module torch.cpu.amp.grad_scaler module torch.cuda module torch.cuda._sanitizer module torch.cuda.amp module torch.cuda.amp.autocast_mode module torch.cuda.amp.common module torch.cuda.amp.grad_scaler module torch.cuda.comm module torch.cuda.error module torch.cuda.gds module torch.cuda.graphs module torch.cuda.jiterator module torch.cuda.memory module torch.cuda.nccl module torch.cuda.nvtx module torch.cuda.profiler module torch.cuda.random module torch.cuda.sparse module torch.cuda.streams module torch.cuda.tunable module torch.distributed module torch.distributed.algorithms module torch.distributed.algorithms.ddp_comm_hooks module torch.distributed.algorithms.ddp_comm_hooks.ddp_zero_hook module torch.distributed.algorithms.ddp_comm_hooks.debugging_hooks module torch.distributed.algorithms.ddp_comm_hooks.default_hooks module torch.distributed.algorithms.ddp_comm_hooks.mixed_precision_hooks module torch.distributed.algorithms.ddp_comm_hooks.optimizer_overlap_hooks module torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook module torch.distributed.algorithms.ddp_comm_hooks.powerSGD_hook module torch.distributed.algorithms.ddp_comm_hooks.quantization_hooks module torch.distributed.algorithms.join module torch.distributed.algorithms.model_averaging module torch.distributed.algorithms.model_averaging.averagers module torch.distributed.algorithms.model_averaging.hierarchical_model_averager module torch.distributed.algorithms.model_averaging.utils module torch.distributed.argparse_util module torch.distributed.autograd module torch.distributed.c10d_logger module torch.distributed.checkpoint module torch.distributed.checkpoint.api module torch.distributed.checkpoint.default_planner module torch.distributed.checkpoint.filesystem module torch.distributed.checkpoint.format_utils module torch.distributed.checkpoint.logger module torch.distributed.checkpoint.logging_handlers module torch.distributed.checkpoint.metadata module torch.distributed.checkpoint.optimizer module torch.distributed.checkpoint.planner module torch.distributed.checkpoint.planner_helpers module torch.distributed.checkpoint.resharding module torch.distributed.checkpoint.staging module torch.distributed.checkpoint.state_dict module torch.distributed.checkpoint.state_dict_loader module torch.distributed.checkpoint.state_dict_saver module torch.distributed.checkpoint.stateful module torch.distributed.checkpoint.storage module torch.distributed.checkpoint.utils module torch.distributed.collective_utils module torch.distributed.constants module torch.distributed.device_mesh module torch.distributed.distributed_c10d module torch.distributed.elastic module torch.distributed.elastic.agent module torch.distributed.elastic.agent.server module torch.distributed.elastic.agent.server.api module torch.distributed.elastic.agent.server.health_check_server module torch.distributed.elastic.agent.server.local_elastic_agent module torch.distributed.elastic.control_plane module torch.distributed.elastic.events module torch.distributed.elastic.events.api module torch.distributed.elastic.events.handlers module torch.distributed.elastic.metrics module torch.distributed.elastic.metrics.api module torch.distributed.elastic.multiprocessing module torch.distributed.elastic.multiprocessing.api module torch.distributed.elastic.multiprocessing.errors module torch.distributed.elastic.multiprocessing.errors.error_handler module torch.distributed.elastic.multiprocessing.errors.handlers module torch.distributed.elastic.multiprocessing.redirects module torch.distributed.elastic.multiprocessing.subprocess_handler module torch.distributed.elastic.multiprocessing.subprocess_handler.handlers module torch.distributed.elastic.multiprocessing.subprocess_handler.subprocess_handler module torch.distributed.elastic.multiprocessing.tail_log module torch.distributed.elastic.rendezvous module torch.distributed.elastic.rendezvous.api module torch.distributed.elastic.rendezvous.c10d_rendezvous_backend module torch.distributed.elastic.rendezvous.dynamic_rendezvous module torch.distributed.elastic.rendezvous.etcd_rendezvous module torch.distributed.elastic.rendezvous.etcd_rendezvous_backend module torch.distributed.elastic.rendezvous.etcd_server module torch.distributed.elastic.rendezvous.etcd_store module torch.distributed.elastic.rendezvous.registry module torch.distributed.elastic.rendezvous.static_tcp_rendezvous module torch.distributed.elastic.rendezvous.utils module torch.distributed.elastic.timer module torch.distributed.elastic.timer.api module torch.distributed.elastic.timer.debug_info_logging module torch.distributed.elastic.timer.file_based_local_timer module torch.distributed.elastic.timer.local_timer module torch.distributed.elastic.utils module torch.distributed.elastic.utils.api module torch.distributed.elastic.utils.data module torch.distributed.elastic.utils.data.cycling_iterator module torch.distributed.elastic.utils.data.elastic_distributed_sampler module torch.distributed.elastic.utils.distributed module torch.distributed.elastic.utils.log_level module torch.distributed.elastic.utils.logging module torch.distributed.elastic.utils.store module torch.distributed.fsdp module torch.distributed.fsdp.api module torch.distributed.fsdp.fully_sharded_data_parallel module torch.distributed.fsdp.sharded_grad_scaler module torch.distributed.fsdp.wrap module torch.distributed.launch module torch.distributed.launcher module torch.distributed.launcher.api module torch.distributed.logging_handlers module torch.distributed.nn module torch.distributed.nn.api module torch.distributed.nn.api.remote_module module torch.distributed.nn.functional module torch.distributed.nn.jit module torch.distributed.nn.jit.instantiator module torch.distributed.nn.jit.templates module torch.distributed.nn.jit.templates.remote_module_template module torch.distributed.optim module torch.distributed.optim.apply_optimizer_in_backward module torch.distributed.optim.functional_adadelta module torch.distributed.optim.functional_adagrad module torch.distributed.optim.functional_adam module torch.distributed.optim.functional_adamax module torch.distributed.optim.functional_adamw module torch.distributed.optim.functional_rmsprop module torch.distributed.optim.functional_rprop module torch.distributed.optim.functional_sgd module torch.distributed.optim.named_optimizer module torch.distributed.optim.optimizer module torch.distributed.optim.post_localSGD_optimizer module torch.distributed.optim.utils module torch.distributed.optim.zero_redundancy_optimizer module torch.distributed.pipelining module torch.distributed.pipelining.microbatch module torch.distributed.pipelining.schedules module torch.distributed.pipelining.stage module torch.distributed.remote_device module torch.distributed.rendezvous module torch.distributed.rpc module torch.distributed.rpc.api module torch.distributed.rpc.backend_registry module torch.distributed.rpc.constants module torch.distributed.rpc.functions module torch.distributed.rpc.internal module torch.distributed.rpc.options module torch.distributed.rpc.rref_proxy module torch.distributed.rpc.server_process_global_profiler module torch.distributed.run module torch.distributed.tensor module torch.distributed.tensor.debug module torch.distributed.tensor.device_mesh module torch.distributed.tensor.experimental module torch.distributed.tensor.parallel module torch.distributed.tensor.parallel.api module torch.distributed.tensor.parallel.ddp module torch.distributed.tensor.parallel.fsdp module torch.distributed.tensor.parallel.input_reshard module torch.distributed.tensor.parallel.loss module torch.distributed.tensor.parallel.style module torch.distributed.tensor.placement_types module torch.distributed.utils module torch.distributions module torch.distributions.bernoulli module torch.distributions.beta module torch.distributions.binomial module torch.distributions.categorical module torch.distributions.cauchy module torch.distributions.chi2 module torch.distributions.constraint_registry module torch.distributions.constraints module torch.distributions.continuous_bernoulli module torch.distributions.dirichlet module torch.distributions.distribution module torch.distributions.exp_family module torch.distributions.exponential module torch.distributions.fishersnedecor module torch.distributions.gamma module torch.distributions.geometric module torch.distributions.gumbel module torch.distributions.half_cauchy module torch.distributions.half_normal module torch.distributions.independent module torch.distributions.inverse_gamma module torch.distributions.kl module torch.distributions.kumaraswamy module torch.distributions.laplace module torch.distributions.lkj_cholesky module torch.distributions.log_normal module torch.distributions.logistic_normal module torch.distributions.lowrank_multivariate_normal module torch.distributions.mixture_same_family module torch.distributions.multinomial module torch.distributions.multivariate_normal module torch.distributions.negative_binomial module torch.distributions.normal module torch.distributions.one_hot_categorical module torch.distributions.pareto module torch.distributions.poisson module torch.distributions.relaxed_bernoulli module torch.distributions.relaxed_categorical module torch.distributions.studentT module torch.distributions.transformed_distribution module torch.distributions.transforms module torch.distributions.uniform module torch.distributions.utils module torch.distributions.von_mises module torch.distributions.weibull module torch.distributions.wishart module torch.export module torch.export.custom_obj module torch.export.custom_ops module torch.export.decomp_utils module torch.export.dynamic_shapes module torch.export.experimental module torch.export.exported_program module torch.export.graph_signature module torch.export.passes module torch.export.unflatten module torch.fft module torch.finfo (在 torch 中的類) torch.func module torch.functional module torch.futures module torch.fx module torch.fx.annotate module torch.fx.config module torch.fx.experimental module torch.fx.experimental.accelerator_partitioner module torch.fx.experimental.const_fold module torch.fx.experimental.debug module torch.fx.experimental.graph_gradual_typechecker module torch.fx.experimental.merge_matmul module torch.fx.experimental.meta_tracer module torch.fx.experimental.migrate_gradual_types module torch.fx.experimental.migrate_gradual_types.constraint module torch.fx.experimental.migrate_gradual_types.constraint_generator module torch.fx.experimental.migrate_gradual_types.constraint_transformation module torch.fx.experimental.migrate_gradual_types.operation module torch.fx.experimental.migrate_gradual_types.transform_to_z3 module torch.fx.experimental.migrate_gradual_types.util module torch.fx.experimental.migrate_gradual_types.z3_types module torch.fx.experimental.normalize module torch.fx.experimental.optimization module torch.fx.experimental.partitioner_utils module torch.fx.experimental.proxy_tensor module torch.fx.experimental.recording module torch.fx.experimental.refinement_types module torch.fx.experimental.rewriter module torch.fx.experimental.schema_type_annotation module torch.fx.experimental.sym_node module torch.fx.experimental.symbolic_shapes module torch.fx.experimental.unification module torch.fx.experimental.unification.core module torch.fx.experimental.unification.dispatch module torch.fx.experimental.unification.match module torch.fx.experimental.unification.more module torch.fx.experimental.unification.multipledispatch module torch.fx.experimental.unification.multipledispatch.conflict module torch.fx.experimental.unification.multipledispatch.core module torch.fx.experimental.unification.multipledispatch.dispatcher module torch.fx.experimental.unification.multipledispatch.utils module torch.fx.experimental.unification.multipledispatch.variadic module torch.fx.experimental.unification.unification_tools module torch.fx.experimental.unification.utils module torch.fx.experimental.unification.variable module torch.fx.experimental.unify_refinements module torch.fx.experimental.validator module torch.fx.graph module torch.fx.graph_module module torch.fx.immutable_collections module torch.fx.interpreter module torch.fx.node module torch.fx.operator_schemas module torch.fx.passes module torch.fx.passes.annotate_getitem_nodes module torch.fx.passes.backends module torch.fx.passes.backends.cudagraphs module torch.fx.passes.dialect module torch.fx.passes.dialect.common module torch.fx.passes.dialect.common.cse_pass module torch.fx.passes.fake_tensor_prop module torch.fx.passes.graph_drawer module torch.fx.passes.graph_manipulation module torch.fx.passes.graph_transform_observer module torch.fx.passes.infra module torch.fx.passes.infra.partitioner module torch.fx.passes.infra.pass_base module torch.fx.passes.infra.pass_manager module torch.fx.passes.net_min_base module torch.fx.passes.operator_support module torch.fx.passes.param_fetch module torch.fx.passes.pass_manager module torch.fx.passes.reinplace module torch.fx.passes.runtime_assert module torch.fx.passes.shape_prop module torch.fx.passes.split_module module torch.fx.passes.split_utils module torch.fx.passes.splitter_base module torch.fx.passes.tests module torch.fx.passes.tests.test_pass_manager module torch.fx.passes.tools_common module torch.fx.passes.utils module torch.fx.passes.utils.common module torch.fx.passes.utils.fuser_utils module torch.fx.passes.utils.matcher_utils module torch.fx.passes.utils.matcher_with_name_node_map_utils module torch.fx.passes.utils.source_matcher_utils module torch.fx.proxy module torch.fx.subgraph_rewriter module torch.fx.tensor_type module torch.fx.traceback module torch.hub module torch.iinfo (在 torch 中的類) torch.jit module torch.jit.annotations module torch.jit.frontend module torch.jit.generate_bytecode module torch.jit.mobile module torch.jit.quantized module torch.jit.supported_ops module torch.jit.unsupported_tensor_ops module torch.library module torch.linalg module torch.masked module torch.masked.maskedtensor module torch.masked.maskedtensor.binary module torch.masked.maskedtensor.core module torch.masked.maskedtensor.creation module torch.masked.maskedtensor.passthrough module torch.masked.maskedtensor.reductions module torch.masked.maskedtensor.unary module torch.monitor module torch.mps module torch.mps.event module torch.mps.profiler module torch.mtia module torch.mtia.memory module torch.multiprocessing module torch.multiprocessing.pool module torch.multiprocessing.queue module torch.multiprocessing.reductions module torch.multiprocessing.spawn module torch.nested module torch.nn module torch.nn.attention module torch.nn.attention.bias module torch.nn.attention.experimental module torch.nn.attention.flex_attention module torch.nn.backends module torch.nn.backends.thnn module torch.nn.common_types module torch.nn.cpp module torch.nn.functional module torch.nn.grad module torch.nn.init module torch.nn.intrinsic module torch.nn.intrinsic.modules module torch.nn.intrinsic.modules.fused module torch.nn.intrinsic.qat module torch.nn.intrinsic.qat.modules module torch.nn.intrinsic.qat.modules.conv_fused module torch.nn.intrinsic.qat.modules.linear_fused module torch.nn.intrinsic.qat.modules.linear_relu module torch.nn.intrinsic.quantized module torch.nn.intrinsic.quantized.dynamic module torch.nn.intrinsic.quantized.dynamic.modules module torch.nn.intrinsic.quantized.dynamic.modules.linear_relu module torch.nn.intrinsic.quantized.modules module torch.nn.intrinsic.quantized.modules.bn_relu module torch.nn.intrinsic.quantized.modules.conv_relu module torch.nn.intrinsic.quantized.modules.linear_relu module torch.nn.modules module torch.nn.modules.activation module torch.nn.modules.adaptive module torch.nn.modules.batchnorm module torch.nn.modules.channelshuffle module torch.nn.modules.container module torch.nn.modules.conv module torch.nn.modules.distance module torch.nn.modules.dropout module torch.nn.modules.flatten module torch.nn.modules.fold module torch.nn.modules.instancenorm module torch.nn.modules.lazy module torch.nn.modules.linear module torch.nn.modules.loss module torch.nn.modules.module module torch.nn.modules.normalization module torch.nn.modules.padding module torch.nn.modules.pixelshuffle module torch.nn.modules.pooling module torch.nn.modules.rnn module torch.nn.modules.sparse module torch.nn.modules.transformer module torch.nn.modules.upsampling module torch.nn.modules.utils module torch.nn.parallel module torch.nn.parallel.comm module torch.nn.parallel.distributed module torch.nn.parallel.parallel_apply module torch.nn.parallel.replicate module torch.nn.parallel.scatter_gather module torch.nn.parameter module torch.nn.qat module torch.nn.qat.dynamic module torch.nn.qat.dynamic.modules module torch.nn.qat.dynamic.modules.linear module torch.nn.qat.modules module torch.nn.qat.modules.conv module torch.nn.qat.modules.embedding_ops module torch.nn.qat.modules.linear module torch.nn.quantizable module torch.nn.quantizable.modules module torch.nn.quantizable.modules.activation module torch.nn.quantizable.modules.rnn module torch.nn.quantized module torch.nn.quantized.dynamic module torch.nn.quantized.dynamic.modules module torch.nn.quantized.dynamic.modules.conv module torch.nn.quantized.dynamic.modules.linear module torch.nn.quantized.dynamic.modules.rnn module torch.nn.quantized.functional module torch.nn.quantized.modules module torch.nn.quantized.modules.activation module torch.nn.quantized.modules.batchnorm module torch.nn.quantized.modules.conv module torch.nn.quantized.modules.dropout module torch.nn.quantized.modules.embedding_ops module torch.nn.quantized.modules.functional_modules module torch.nn.quantized.modules.linear module torch.nn.quantized.modules.normalization module torch.nn.quantized.modules.rnn module torch.nn.quantized.modules.utils module torch.nn.utils module torch.nn.utils.clip_grad module torch.nn.utils.convert_parameters module torch.nn.utils.fusion module torch.nn.utils.init module torch.nn.utils.memory_format module torch.nn.utils.parametrizations module torch.nn.utils.parametrize module torch.nn.utils.prune module torch.nn.utils.rnn module torch.nn.utils.stateless module torch.onnx module torch.onnx.errors module torch.onnx.operators module torch.onnx.symbolic_caffe2 module torch.onnx.symbolic_helper module torch.onnx.symbolic_opset10 module torch.onnx.symbolic_opset11 module torch.onnx.symbolic_opset12 module torch.onnx.symbolic_opset13 module torch.onnx.symbolic_opset14 module torch.onnx.symbolic_opset15 module torch.onnx.symbolic_opset16 module torch.onnx.symbolic_opset17 module torch.onnx.symbolic_opset18 module torch.onnx.symbolic_opset19 module torch.onnx.symbolic_opset20 module torch.onnx.symbolic_opset7 module torch.onnx.symbolic_opset8 module torch.onnx.symbolic_opset9 module torch.onnx.utils module torch.onnx.verification module torch.optim module torch.optim.adadelta module torch.optim.adagrad module torch.optim.adam module torch.optim.adamax module torch.optim.adamw module torch.optim.asgd module torch.optim.lbfgs module torch.optim.lr_scheduler module torch.optim.nadam module torch.optim.optimizer module torch.optim.radam module torch.optim.rmsprop module torch.optim.rprop module torch.optim.sgd module torch.optim.sparse_adam module torch.optim.swa_utils module torch.overrides module torch.package module torch.package.analyze module torch.package.analyze.find_first_use_of_broken_modules module torch.package.analyze.is_from_package module torch.package.analyze.trace_dependencies module torch.package.file_structure_representation module torch.package.find_file_dependencies module torch.package.glob_group module torch.package.importer module torch.package.package_exporter module torch.package.package_importer module torch.profiler module torch.profiler.itt module torch.profiler.profiler module torch.profiler.python_tracer module torch.quantization module torch.quantization.fake_quantize module torch.quantization.fuse_modules module torch.quantization.fuser_method_mappings module torch.quantization.fx module torch.quantization.fx.convert module torch.quantization.fx.fuse module torch.quantization.fx.fusion_patterns module torch.quantization.fx.graph_module module torch.quantization.fx.match_utils module torch.quantization.fx.pattern_utils module torch.quantization.fx.prepare module torch.quantization.fx.quantization_patterns module torch.quantization.fx.quantization_types module torch.quantization.fx.utils module torch.quantization.observer module torch.quantization.qconfig module torch.quantization.quant_type module torch.quantization.quantization_mappings module torch.quantization.quantize module torch.quantization.quantize_fx module torch.quantization.quantize_jit module torch.quantization.stubs module torch.quantization.utils module torch.quasirandom module torch.random module torch.return_types module torch.serialization module torch.signal module torch.signal.windows module torch.signal.windows.windows module torch.sparse module torch.sparse.semi_structured module torch.special module torch.storage module torch.testing module torch.torch_version module torch.types module torch.utils module torch.utils.backcompat module torch.utils.backend_registration module torch.utils.benchmark module torch.utils.benchmark.examples module torch.utils.benchmark.examples.blas_compare_setup module torch.utils.benchmark.examples.compare module torch.utils.benchmark.examples.fuzzer module torch.utils.benchmark.examples.op_benchmark module torch.utils.benchmark.examples.simple_timeit module torch.utils.benchmark.examples.spectral_ops_fuzz_test module torch.utils.benchmark.op_fuzzers module torch.utils.benchmark.op_fuzzers.binary module torch.utils.benchmark.op_fuzzers.sparse_binary module torch.utils.benchmark.op_fuzzers.sparse_unary module torch.utils.benchmark.op_fuzzers.spectral module torch.utils.benchmark.op_fuzzers.unary module torch.utils.benchmark.utils module torch.utils.benchmark.utils.common module torch.utils.benchmark.utils.compare module torch.utils.benchmark.utils.compile module torch.utils.benchmark.utils.cpp_jit module torch.utils.benchmark.utils.fuzzer module torch.utils.benchmark.utils.sparse_fuzzer module torch.utils.benchmark.utils.timer module torch.utils.benchmark.utils.valgrind_wrapper module torch.utils.benchmark.utils.valgrind_wrapper.timer_interface module torch.utils.bottleneck module torch.utils.bundled_inputs module torch.utils.checkpoint module torch.utils.collect_env module torch.utils.cpp_backtrace module torch.utils.cpp_extension module torch.utils.data module torch.utils.data.backward_compatibility module torch.utils.data.dataloader module torch.utils.data.datapipes module torch.utils.data.datapipes.dataframe module torch.utils.data.datapipes.dataframe.dataframe_wrapper module torch.utils.data.datapipes.dataframe.dataframes module torch.utils.data.datapipes.dataframe.datapipes module torch.utils.data.datapipes.dataframe.structures module torch.utils.data.datapipes.datapipe module torch.utils.data.datapipes.gen_pyi module torch.utils.data.datapipes.iter module torch.utils.data.datapipes.iter.callable module torch.utils.data.datapipes.iter.combinatorics module torch.utils.data.datapipes.iter.combining module torch.utils.data.datapipes.iter.filelister module torch.utils.data.datapipes.iter.fileopener module torch.utils.data.datapipes.iter.grouping module torch.utils.data.datapipes.iter.routeddecoder module torch.utils.data.datapipes.iter.selecting module torch.utils.data.datapipes.iter.sharding module torch.utils.data.datapipes.iter.streamreader module torch.utils.data.datapipes.iter.utils module torch.utils.data.datapipes.map module torch.utils.data.datapipes.map.callable module torch.utils.data.datapipes.map.combinatorics module torch.utils.data.datapipes.map.combining module torch.utils.data.datapipes.map.grouping module torch.utils.data.datapipes.map.utils module torch.utils.data.datapipes.utils module torch.utils.data.datapipes.utils.common module torch.utils.data.datapipes.utils.decoder module torch.utils.data.datapipes.utils.snapshot module torch.utils.data.dataset module torch.utils.data.distributed module torch.utils.data.graph module torch.utils.data.graph_settings module torch.utils.data.sampler module torch.utils.deterministic module torch.utils.dlpack module torch.utils.file_baton module torch.utils.flop_counter module torch.utils.hipify module torch.utils.hipify.constants module torch.utils.hipify.cuda_to_hip_mappings module torch.utils.hipify.hipify_python module torch.utils.hipify.version module torch.utils.hooks module torch.utils.jit module torch.utils.jit.log_extract module torch.utils.mkldnn module torch.utils.mobile_optimizer module torch.utils.model_dump module torch.utils.model_zoo module torch.utils.module_tracker module torch.utils.serialization module torch.utils.serialization.config module torch.utils.show_pickle module torch.utils.tensorboard module torch.utils.tensorboard.summary module torch.utils.tensorboard.writer module torch.utils.throughput_benchmark module torch.utils.viz module torch.utils.weak module torch.version module torch.xpu module torch.xpu.memory module torch.xpu.random module torch.xpu.streams module TORCH_COMPILE_JOB_ID torch_name() (torch.onnx.JitScalarType 方法) torch_save_to_dcp() (在 torch.distributed.checkpoint.format_utils 模組中) TorchAODType (在 torch.ao.quantization.observer 中的類) total_average() (torch.autograd.profiler.profile 方法) total_count (torch.distributions.multinomial.Multinomial 屬性) trace() (在 torch 模組中) (在模組 torch.jit 中) (torch.fx.Tracer method) (torch.Tensor method) trace_module() (在 torch.jit 模組中) Tracer (在 torch.fx 中的類) train() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) Transform (在 torch.distributions.transforms 中的類) transform() (torch.fx.Transformer 方法) (torch.utils.benchmark.FunctionCounts 方法) transform_object() (torch.distributed.checkpoint.DefaultSavePlanner 方法) transform_tensor() (torch.distributed.checkpoint.DefaultLoadPlanner 方法) TransformedDistribution (在 torch.distributions.transformed_distribution 中的類) Transformer (在 torch.fx 中的類) (class in torch.nn) TransformerDecoder (在 torch.nn 中的類) TransformerDecoderLayer (在 torch.nn 中的類) TransformerEncoder (在 torch.nn 中的類) TransformerEncoderLayer (在 torch.nn 中的類) transpose() (在 torch 模組中) (torch.Tensor method) transpose_() (torch.Tensor 方法) trapezoid() (在 torch 模組中) trapz() (在 torch 模組中) triangular_solve() (在 torch 模組中) (torch.Tensor method) tril() (在 torch 模組中) (torch.Tensor method) tril_() (torch.Tensor 方法) tril_indices() (在 torch 模組中) trim_significant_figures() (torch.utils.benchmark.Compare 方法) triplet_margin_loss() (在 torch.nn.functional 模組中) triplet_margin_with_distance_loss() (在 torch.nn.functional 模組中) TripletMarginLoss (在 torch.nn 中的類) TripletMarginWithDistanceLoss (在 torch.nn 中的類) triton_op() (在 torch.library 模組中) triu() (在 torch 模組中) (torch.Tensor method) triu_() (torch.Tensor 方法) triu_indices() (在 torch 模組中) true_divide() (在 torch 模組中) (torch.Tensor method) true_divide_() (torch.Tensor 方法) trunc() (在 torch 模組中) (torch.Tensor method) trunc_() (torch.Tensor 方法) trunc_normal_() (在 torch.nn.init 模組中) tune_gemm_in_file() (在 torch.cuda.tunable 模組中) tuning_enable() (在 torch.cuda.tunable 模組中) tuning_is_enabled() (在 torch.cuda.tunable 模組中) type (torch.jit.Attribute 屬性) type() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) (torch.Tensor method) (torch.TypedStorage method) (torch.UntypedStorage method) type_as() (torch.Tensor 方法) TypedStorage (在 torch 中的類) U unbind() (在 torch 模組中) (torch.Tensor method) unbox() (torch.distributed.Work 靜態方法) underlying_store (torch.distributed.PrefixStore 屬性) Unflatten (在 torch.nn 中的類) unflatten() (在 torch 模組中) (在 torch.export.unflatten 模組中) (torch.Tensor method) Unfold (在 torch.nn 中的類) unfold() (在 torch.nn.functional 模組中) (torch.Tensor method) Uniform (在 torch.distributions.uniform 中的類) uniform_() (在 torch.nn.init 模組中) (torch.Tensor method) UninitializedBuffer (在 torch.nn.parameter 中的類) UninitializedParameter (在 torch.nn.parameter 中的類) unique() (在 torch 模組中) (torch.Tensor method) unique_consecutive() (在 torch 模組中) (torch.Tensor method) unpack_dual() (在 torch.autograd.forward_ad 模組中) unpack_sequence() (在 torch.nn.utils.rnn 模組中) UnpackedDualTensor (在 torch.autograd.forward_ad 中的類) unpad_sequence() (在 torch.nn.utils.rnn 模組中) unravel_index() (在 torch 模組中) unregister_custom_op_symbolic() (在 torch.onnx 模組中) unregister_event_handler() (在 torch.monitor 模組中) unshard() (torch.distributed.fsdp.FSDPModule 方法) UnshardHandle (在 torch.distributed.fsdp 中的類) unsorted_indices (torch.nn.utils.rnn.PackedSequence 屬性) unsqueeze() (在 torch 模組中) (torch.Tensor method) unsqueeze_() (torch.Tensor 方法) untyped() (torch.TypedStorage 方法) (torch.UntypedStorage method) untyped_storage() (torch.Tensor 方法) UntypedStorage (在 torch 中的類) unused() (在 torch.jit 模組中) update() (torch.autograd.profiler_util.StringTable 方法) (torch.export.decomp_utils.CustomDecompTable 方法) (torch.nn.ModuleDict 方法) (torch.nn.ParameterDict 方法) update_arg() (torch.fx.Node 方法) update_bn() (在 torch.optim.swa_utils 模組中) update_bn_stats (在 torch.ao.nn.intrinsic.qat 中的類) update_kwarg() (torch.fx.Node 方法) update_parameters() (torch.optim.swa_utils.AveragedModel 方法) upsample (在 torch.ao.nn.quantized.functional 中的類) Upsample (在 torch.nn 中的類) upsample() (在 torch.nn.functional 模組中) upsample_bilinear (在 torch.ao.nn.quantized.functional 中的類) upsample_bilinear() (在 torch.nn.functional 模組中) upsample_nearest (在 torch.ao.nn.quantized.functional 中的類) upsample_nearest() (在 torch.nn.functional 模組中) UpsamplingBilinear2d (在 torch.nn 中的類) UpsamplingNearest2d (在 torch.nn 中的類) use_agent_store (torch.distributed.elastic.rendezvous.RendezvousHandler 屬性) use_count() (torch.cuda.MemPool 方法) use_deterministic_algorithms() (在 torch 模組中) use_mem_pool (在 torch.cuda 中的類) utilization() (在 torch.cuda 模組中) V validate_checkpoint_id() (torch.distributed.checkpoint.format_utils.BroadcastingTorchSaveReader 類方法) (torch.distributed.checkpoint.StorageReader 類方法) (torch.distributed.checkpoint.StorageWriter 類方法) value (torch.jit.Attribute 屬性) value() (torch.futures.Future 方法) values() (torch.autograd.profiler_util.StringTable 方法) (torch.nn.ModuleDict 方法) (torch.nn.ParameterDict 方法) (torch.Tensor method) vander() (在 torch 模組中) (在模組 torch.linalg 中) var() (在 torch 模組中) (torch.Tensor method) var_mean() (在 torch 模組中) variance (torch.distributions.bernoulli.Bernoulli 屬性) (torch.distributions.beta.Beta 屬性) (torch.distributions.binomial.Binomial 屬性) (torch.distributions.categorical.Categorical 屬性) (torch.distributions.cauchy.Cauchy 屬性) (torch.distributions.continuous_bernoulli.ContinuousBernoulli 屬性) (torch.distributions.dirichlet.Dirichlet 屬性) (torch.distributions.distribution.Distribution property) (torch.distributions.exponential.Exponential 屬性) (torch.distributions.fishersnedecor.FisherSnedecor 屬性) (torch.distributions.gamma.Gamma 屬性) (torch.distributions.geometric.Geometric 屬性) (torch.distributions.gumbel.Gumbel 屬性) (torch.distributions.half_cauchy.HalfCauchy 屬性) (torch.distributions.half_normal.HalfNormal 屬性) (torch.distributions.independent.Independent 屬性) (torch.distributions.inverse_gamma.InverseGamma 屬性) (torch.distributions.kumaraswamy.Kumaraswamy 屬性) (torch.distributions.laplace.Laplace 屬性) (torch.distributions.log_normal.LogNormal 屬性) (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal 屬性) (torch.distributions.mixture_same_family.MixtureSameFamily 屬性) (torch.distributions.multinomial.Multinomial 屬性) (torch.distributions.multivariate_normal.MultivariateNormal 屬性) (torch.distributions.negative_binomial.NegativeBinomial 屬性) (torch.distributions.normal.Normal 屬性) (torch.distributions.one_hot_categorical.OneHotCategorical 屬性) (torch.distributions.pareto.Pareto 屬性) (torch.distributions.poisson.Poisson 屬性) (torch.distributions.studentT.StudentT 屬性) (torch.distributions.uniform.Uniform 屬性) (torch.distributions.von_mises.VonMises 屬性) (torch.distributions.weibull.Weibull 屬性) (torch.distributions.wishart.Wishart 屬性) vdot() (在 torch 模組中) (torch.Tensor method) vecdot() (在 torch.linalg 模組中) vector_norm() (在 torch.linalg 模組中) vector_to_parameters() (在 torch.nn.utils 模組中) verbose (在 torch.backends.mkl 中的類) (在 torch.backends.mkldnn 中的類) VerificationInfo (在 torch.onnx.verification 中的類) VerificationOptions (在 torch.onnx.verification 中的類) verify() (在 torch.onnx.verification 模組中) verify_aten_graph() (在 torch.onnx.verification 模組中) verify_ninja_availability() (在 torch.utils.cpp_extension 模組中) verify_onnx_program() (在 torch.onnx.verification 模組中) version() (在 torch.backends.cudnn 模組中) (在 torch.backends.cusparselt 模組中) vhp() (在 torch.autograd.functional 模組中) view() (torch.Tensor 方法) view_as() (torch.Tensor 方法) view_as_complex() (在 torch 模組中) view_as_real() (在 torch 模組中) visualize_sharding() (在 torch.distributed.tensor.debug 模組中) vjp() (在 torch.autograd.functional 模組中) (在 torch.func 模組中) (torch.autograd.function.InplaceFunction static method) (torch.autograd.function.NestedIOFunction 靜態方法) vmap() (在 torch 模組中) (在 torch.func 模組中) (torch.autograd.Function static method) (torch.autograd.function.InplaceFunction static method) (torch.autograd.function.NestedIOFunction 靜態方法) VonMises (在 torch.distributions.von_mises 中的類) vsplit() (在 torch 模組中) (torch.Tensor method) vstack() (在 torch 模組中) W wait() (在 torch.jit 模組中) (torch.cuda.Event 方法) (torch.distributed.elastic.rendezvous.etcd_store.EtcdStore method) (torch.distributed.fsdp.UnshardHandle 方法) (torch.distributed.Store method) (torch.distributed.Work 方法) (torch.Event 方法) (torch.futures.Future 方法) (torch.mps.event.Event 方法) (torch.mtia.Event 方法) (torch.xpu.Event 方法) wait_all() (在 torch.futures 模組中) wait_event() (torch.cuda.ExternalStream 方法) (torch.cuda.Stream 方法) (torch.mtia.Stream 方法) (torch.Stream 方法) (torch.xpu.Stream 方法) wait_stream() (torch.cuda.ExternalStream 方法) (torch.cuda.Stream 方法) (torch.mtia.Stream 方法) (torch.Stream 方法) (torch.xpu.Stream 方法) Weibull (在 torch.distributions.weibull 中的類) weight_norm() (在 torch.nn.utils 模組中) (在 torch.nn.utils.parametrizations 模組中) WeightedRandomSampler (在 torch.utils.data 中的類) where() (在 torch 模組中) (torch.Tensor method) Wishart (在 torch.distributions.wishart 中的類) with_args() (torch.ao.quantization.observer.AffineQuantizedObserverBase 類方法) (torch.ao.quantization.observer.ObserverBase 類方法) with_callable_args() (torch.ao.quantization.observer.ObserverBase 類方法) Work (在 torch.distributed 中的類) Worker (在 torch.distributed.elastic.agent.server 中的類) worker_main() (在 torch.distributed.elastic.control_plane 模組中) WorkerGroup (在 torch.distributed.elastic.agent.server 中的類) WorkerInfo (在 torch.distributed.rpc 中的類) WorkerSpec (在 torch.distributed.elastic.agent.server 中的類) WorkerState (在 torch.distributed.elastic.agent.server 中的類) wrap() (在 torch.fx 模組中) wrap_torch_function() (在 torch.overrides 模組中) wrap_triton() (在 torch.library 模組中) write_data() (torch.distributed.checkpoint.StorageWriter 方法) write_file() (在 torch.cuda.tunable 模組中) write_file_on_exit() (在 torch.cuda.tunable 模組中) WriteItem (在 torch.distributed.checkpoint.planner 中的類) X xavier_normal_() (在 torch.nn.init 模組中) xavier_uniform_() (在 torch.nn.init 模組中) xlog1py() (在 torch.special 模組中) xlogy() (在 torch 模組中) (在模組 torch.special 中) (torch.Tensor method) xlogy_() (torch.Tensor 方法) xpu() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.swa_utils.AveragedModel method) (torch.Tensor method) Z zero_() (torch.Tensor 方法) zero_grad() (torch.jit.ScriptModule 方法) (torch.nn.Module method) (torch.optim.Adadelta method) (torch.optim.Adafactor method) (torch.optim.Adagrad method) (torch.optim.Adam method) (torch.optim.Adamax method) (torch.optim.AdamW method) (torch.optim.ASGD method) (torch.optim.LBFGS method) (torch.optim.NAdam method) (torch.optim.Optimizer method) (torch.optim.RAdam method) (torch.optim.RMSprop method) (torch.optim.Rprop method) (torch.optim.SGD method) (torch.optim.SparseAdam method) (torch.optim.swa_utils.AveragedModel method) ZeroPad1d (torch.nn 中的類) ZeroPad2d (torch.nn 中的類) ZeroPad3d (torch.nn 中的類) ZeroPointDomain (torch.ao.quantization.observer 中的類) ZeroRedundancyOptimizer (torch.distributed.optim 中的類) zeros() (torch 模組中) (在模組 torch.distributed.tensor 中) zeros_() (torch.nn.init 模組中) zeros_like() (torch 模組中) zeta() (torch.special 模組中)