Supported.md

This file is auto-generated and should reflect the current state.

This is a list of supported PyTorch modules and functions. See also what is unsupported (on a higher level).

• torch.nn.parameter (module)
• torch.nn.grad (module)
• torch.nn.functional (module)
• torch.nn.init (module)
• torch.nn.common_types (module)
• torch.nn.utils (module)
• torch.nn.modules (module)
• torch.nn.Module (torch.nn.Module)
• torch.nn.Identity (torch.nn.Module)
• torch.nn.Linear (torch.nn.Module)
• torch.nn.Conv1d (torch.nn.Module)
• torch.nn.Conv2d (torch.nn.Module)
• torch.nn.Conv3d (torch.nn.Module)
• torch.nn.ConvTranspose1d (torch.nn.Module)
• torch.nn.ConvTranspose2d (torch.nn.Module)
• torch.nn.ConvTranspose3d (torch.nn.Module)
• torch.nn.Threshold (torch.nn.Module)
• torch.nn.ReLU (torch.nn.Module)
• torch.nn.Hardtanh (torch.nn.Module)
• torch.nn.ReLU6 (torch.nn.Module)
• torch.nn.Sigmoid (torch.nn.Module)
• torch.nn.Tanh (torch.nn.Module)
• torch.nn.Softmax (torch.nn.Module)
• torch.nn.Softmax2d (torch.nn.Module)
• torch.nn.LogSoftmax (torch.nn.Module)
• torch.nn.ELU (torch.nn.Module)
• torch.nn.SELU (torch.nn.Module)
• torch.nn.CELU (torch.nn.Module)
• torch.nn.GLU (torch.nn.Module)
• torch.nn.GELU (torch.nn.Module)
• torch.nn.Hardshrink (torch.nn.Module)
• torch.nn.LeakyReLU (torch.nn.Module)
• torch.nn.LogSigmoid (torch.nn.Module)
• torch.nn.Softplus (torch.nn.Module)
• torch.nn.Softshrink (torch.nn.Module)
• torch.nn.MultiheadAttention (torch.nn.Module)
• torch.nn.PReLU (torch.nn.Module)
• torch.nn.Softsign (torch.nn.Module)
• torch.nn.Softmin (torch.nn.Module)
• torch.nn.Tanhshrink (torch.nn.Module)
• torch.nn.RReLU (torch.nn.Module)
• torch.nn.L1Loss (torch.nn.Module)
• torch.nn.NLLLoss (torch.nn.Module)
• torch.nn.KLDivLoss (torch.nn.Module)
• torch.nn.MSELoss (torch.nn.Module)
• torch.nn.BCELoss (torch.nn.Module)
• torch.nn.BCEWithLogitsLoss (torch.nn.Module)
• torch.nn.NLLLoss2d (torch.nn.Module)
• torch.nn.PoissonNLLLoss (torch.nn.Module)
• torch.nn.CosineEmbeddingLoss (torch.nn.Module)
• torch.nn.CTCLoss (torch.nn.Module)
• torch.nn.HingeEmbeddingLoss (torch.nn.Module)
• torch.nn.MarginRankingLoss (torch.nn.Module)
• torch.nn.MultiLabelMarginLoss (torch.nn.Module)
• torch.nn.MultiLabelSoftMarginLoss (torch.nn.Module)
• torch.nn.MultiMarginLoss (torch.nn.Module)
• torch.nn.SmoothL1Loss (torch.nn.Module)
• torch.nn.SoftMarginLoss (torch.nn.Module)
• torch.nn.CrossEntropyLoss (torch.nn.Module)
• torch.nn.Container (torch.nn.Module)
• torch.nn.Sequential (torch.nn.Module)
• torch.nn.ModuleList (torch.nn.Module)
• torch.nn.ModuleDict (torch.nn.Module)
• torch.nn.ParameterList (torch.nn.Module)
• torch.nn.ParameterDict (torch.nn.Module)
• torch.nn.AvgPool1d (torch.nn.Module)
• torch.nn.AvgPool2d (torch.nn.Module)
• torch.nn.AvgPool3d (torch.nn.Module)
• torch.nn.MaxPool1d (torch.nn.Module)
• torch.nn.MaxPool2d (torch.nn.Module)
• torch.nn.MaxPool3d (torch.nn.Module)
• torch.nn.MaxUnpool1d (torch.nn.Module)
• torch.nn.MaxUnpool2d (torch.nn.Module)
• torch.nn.MaxUnpool3d (torch.nn.Module)
• torch.nn.FractionalMaxPool2d (torch.nn.Module)
• torch.nn.FractionalMaxPool3d (torch.nn.Module)
• torch.nn.LPPool1d (torch.nn.Module)
• torch.nn.LPPool2d (torch.nn.Module)
• torch.nn.LocalResponseNorm (torch.nn.Module)
• torch.nn.BatchNorm1d (torch.nn.Module)
• torch.nn.BatchNorm2d (torch.nn.Module)
• torch.nn.BatchNorm3d (torch.nn.Module)
• torch.nn.InstanceNorm1d (torch.nn.Module)
• torch.nn.InstanceNorm2d (torch.nn.Module)
• torch.nn.InstanceNorm3d (torch.nn.Module)
• torch.nn.LayerNorm (torch.nn.Module)
• torch.nn.GroupNorm (torch.nn.Module)
• torch.nn.SyncBatchNorm (torch.nn.Module)
• torch.nn.Dropout (torch.nn.Module)
• torch.nn.Dropout2d (torch.nn.Module)
• torch.nn.Dropout3d (torch.nn.Module)
• torch.nn.AlphaDropout (torch.nn.Module)
• torch.nn.FeatureAlphaDropout (torch.nn.Module)
• torch.nn.ReflectionPad1d (torch.nn.Module)
• torch.nn.ReflectionPad2d (torch.nn.Module)
• torch.nn.ReplicationPad2d (torch.nn.Module)
• torch.nn.ReplicationPad1d (torch.nn.Module)
• torch.nn.ReplicationPad3d (torch.nn.Module)
• torch.nn.CrossMapLRN2d (torch.nn.Module)
• torch.nn.Embedding (torch.nn.Module)
• torch.nn.EmbeddingBag (torch.nn.Module)
• torch.nn.RNNBase (torch.nn.Module)
• torch.nn.RNN (torch.nn.Module)
• torch.nn.LSTM (torch.nn.Module)
• torch.nn.GRU (torch.nn.Module)
• torch.nn.RNNCellBase (torch.nn.Module)
• torch.nn.RNNCell (torch.nn.Module)
• torch.nn.LSTMCell (torch.nn.Module)
• torch.nn.GRUCell (torch.nn.Module)
• torch.nn.PixelShuffle (torch.nn.Module)
• torch.nn.Upsample (torch.nn.Module)
• torch.nn.UpsamplingNearest2d (torch.nn.Module)
• torch.nn.UpsamplingBilinear2d (torch.nn.Module)
• torch.nn.PairwiseDistance (torch.nn.Module)
• torch.nn.AdaptiveMaxPool1d (torch.nn.Module)
• torch.nn.AdaptiveMaxPool2d (torch.nn.Module)
• torch.nn.AdaptiveMaxPool3d (torch.nn.Module)
• torch.nn.AdaptiveAvgPool1d (torch.nn.Module)
• torch.nn.AdaptiveAvgPool2d (torch.nn.Module)
• torch.nn.AdaptiveAvgPool3d (torch.nn.Module)
• torch.nn.TripletMarginLoss (torch.nn.Module)
• torch.nn.ZeroPad2d (torch.nn.Module)
• torch.nn.ConstantPad1d (torch.nn.Module)
• torch.nn.ConstantPad2d (torch.nn.Module)
• torch.nn.ConstantPad3d (torch.nn.Module)
• torch.nn.Bilinear (torch.nn.Module)
• torch.nn.CosineSimilarity (torch.nn.Module)
• torch.nn.Unfold (torch.nn.Module)
• torch.nn.Fold (torch.nn.Module)
• torch.nn.AdaptiveLogSoftmaxWithLoss (torch.nn.Module)
• torch.nn.TransformerEncoder (torch.nn.Module)
• torch.nn.TransformerDecoder (torch.nn.Module)
• torch.nn.TransformerEncoderLayer (torch.nn.Module)
• torch.nn.TransformerDecoderLayer (torch.nn.Module)
• torch.nn.Transformer (torch.nn.Module)
• torch.nn.Flatten (torch.nn.Module)
• torch.nn.Unflatten (torch.nn.Module)
• torch.nn.Hardsigmoid (torch.nn.Module)
• torch.nn.Hardswish (torch.nn.Module)
• torch.nn.SiLU (torch.nn.Module)
• torch.nn.TripletMarginWithDistanceLoss (torch.nn.Module)
• torch.nn.Parameter (class)
• torch.nn.parallel (module)
• torch.nn.DataParallel (torch.nn.Module)
• torch.nn.intrinsic (module)
• torch.nn.qat (module)
• torch.nn.quantized (module)
• torch.nn.functional.utils (module)
• torch.nn.functional.grad (module)
• torch.nn.functional.boolean_dispatch (function)
• torch.nn.functional.has_torch_function (function)
• torch.nn.functional.handle_torch_function (function)
• torch.nn.functional.Tensor (class)
• torch.nn.functional.conv1d (function)
• torch.nn.functional.conv2d (function)
• torch.nn.functional.conv3d (function)
• torch.nn.functional.conv_transpose1d (function)
• torch.nn.functional.conv_transpose2d (function)
• torch.nn.functional.conv_transpose3d (function)
• torch.nn.functional.conv_tbc (function)
• torch.nn.functional.avg_pool1d (function)
• torch.nn.functional.avg_pool2d (function)
• torch.nn.functional.avg_pool3d (function)
• torch.nn.functional.fractional_max_pool2d_with_indices (function)
• torch.nn.functional.fractional_max_pool2d (function)
• torch.nn.functional.fractional_max_pool3d_with_indices (function)
• torch.nn.functional.fractional_max_pool3d (function)
• torch.nn.functional.max_pool1d_with_indices (function)
• torch.nn.functional.max_pool1d (function)
• torch.nn.functional.max_pool2d_with_indices (function)
• torch.nn.functional.max_pool2d (function)
• torch.nn.functional.max_pool3d_with_indices (function)
• torch.nn.functional.max_pool3d (function)
• torch.nn.functional.max_unpool1d (function)
• torch.nn.functional.max_unpool2d (function)
• torch.nn.functional.max_unpool3d (function)
• torch.nn.functional.lp_pool2d (function)
• torch.nn.functional.lp_pool1d (function)
• torch.nn.functional.adaptive_max_pool1d_with_indices (function)
• torch.nn.functional.adaptive_max_pool1d (function)
• torch.nn.functional.adaptive_max_pool2d_with_indices (function)
• torch.nn.functional.adaptive_max_pool2d (function)
• torch.nn.functional.adaptive_max_pool3d_with_indices (function)
• torch.nn.functional.adaptive_max_pool3d (function)
• torch.nn.functional.adaptive_avg_pool1d (function)
• torch.nn.functional.adaptive_avg_pool2d (function)
• torch.nn.functional.adaptive_avg_pool3d (function)
• torch.nn.functional.dropout (function)
• torch.nn.functional.alpha_dropout (function)
• torch.nn.functional.dropout2d (function)
• torch.nn.functional.dropout3d (function)
• torch.nn.functional.feature_alpha_dropout (function)
• torch.nn.functional.threshold (function)
• torch.nn.functional.threshold_ (function)
• torch.nn.functional.relu (function)
• torch.nn.functional.relu_ (function)
• torch.nn.functional.glu (function)
• torch.nn.functional.hardtanh (function)
• torch.nn.functional.hardtanh_ (function)
• torch.nn.functional.relu6 (function)
• torch.nn.functional.elu (function)
• torch.nn.functional.elu_ (function)
• torch.nn.functional.selu (function)
• torch.nn.functional.selu_ (function)
• torch.nn.functional.celu (function)
• torch.nn.functional.celu_ (function)
• torch.nn.functional.leaky_relu (function)
• torch.nn.functional.leaky_relu_ (function)
• torch.nn.functional.prelu (function)
• torch.nn.functional.rrelu (function)
• torch.nn.functional.rrelu_ (function)
• torch.nn.functional.logsigmoid (function)
• torch.nn.functional.gelu (function)
• torch.nn.functional.hardshrink (function)
• torch.nn.functional.tanhshrink (function)
• torch.nn.functional.softsign (function)
• torch.nn.functional.softplus (function)
• torch.nn.functional.softmin (function)
• torch.nn.functional.softmax (function)
• torch.nn.functional.gumbel_softmax (function)
• torch.nn.functional.log_softmax (function)
• torch.nn.functional.softshrink (function)
• torch.nn.functional.tanh (function)
• torch.nn.functional.sigmoid (function)
• torch.nn.functional.hardsigmoid (function)
• torch.nn.functional.linear (function)
• torch.nn.functional.bilinear (function)
• torch.nn.functional.silu (function)
• torch.nn.functional.hardswish (function)
• torch.nn.functional.embedding (function)
• torch.nn.functional.embedding_bag (function)
• torch.nn.functional.batch_norm (function)
• torch.nn.functional.instance_norm (function)
• torch.nn.functional.layer_norm (function)
• torch.nn.functional.group_norm (function)
• torch.nn.functional.local_response_norm (function)
• torch.nn.functional.ctc_loss (function)
• torch.nn.functional.nll_loss (function)
• torch.nn.functional.poisson_nll_loss (function)
• torch.nn.functional.kl_div (function)
• torch.nn.functional.cross_entropy (function)
• torch.nn.functional.binary_cross_entropy (function)
• torch.nn.functional.binary_cross_entropy_with_logits (function)
• torch.nn.functional.smooth_l1_loss (function)
• torch.nn.functional.l1_loss (function)
• torch.nn.functional.mse_loss (function)
• torch.nn.functional.margin_ranking_loss (function)
• torch.nn.functional.hinge_embedding_loss (function)
• torch.nn.functional.multilabel_margin_loss (function)
• torch.nn.functional.soft_margin_loss (function)
• torch.nn.functional.multilabel_soft_margin_loss (function)
• torch.nn.functional.cosine_embedding_loss (function)
• torch.nn.functional.multi_margin_loss (function)
• torch.nn.functional.pixel_shuffle (function)
• torch.nn.functional.channel_shuffle (function)
• torch.nn.functional.upsample (function)
• torch.nn.functional.interpolate (function)
• torch.nn.functional.upsample_nearest (function)
• torch.nn.functional.upsample_bilinear (function)
• torch.nn.functional.GRID_SAMPLE_INTERPOLATION_MODES (dict)
• torch.nn.functional.GRID_SAMPLE_PADDING_MODES (dict)
• torch.nn.functional.grid_sample (function)
• torch.nn.functional.affine_grid (function)
• torch.nn.functional.pad (function)
• torch.nn.functional.pairwise_distance (function)
• torch.nn.functional.pdist (function)
• torch.nn.functional.cosine_similarity (function)
• torch.nn.functional.one_hot (function)
• torch.nn.functional.triplet_margin_loss (function)
• torch.nn.functional.triplet_margin_with_distance_loss (function)
• torch.nn.functional.normalize (function)
• torch.nn.functional.assert_int_or_pair (function)
• torch.nn.functional.unfold (function)
• torch.nn.functional.fold (function)
• torch.nn.functional.multi_head_attention_forward (function)
• torch.platform (module)
• torch.textwrap (module)
• torch.ctypes (module)
• torch.get_file_path (function)
• torch.prepare_multiprocessing_environment (function)
• torch.USE_RTLD_GLOBAL_WITH_LIBTORCH (bool)
• torch.USE_GLOBAL_DEPS (bool)
• torch.version (module)
• torch.Set (_GenericAlias)
• torch.Type (class)
• torch.get_num_threads (function)
• torch.set_num_threads (function)
• torch.get_num_interop_threads (function)
• torch.set_num_interop_threads (function)
• torch.set_flush_denormal (function)
• torch.get_default_dtype (function)
• torch.is_grad_enabled (function)
• torch.set_autocast_enabled (function)
• torch.is_autocast_enabled (function)
• torch.clear_autocast_cache (function)
• torch.autocast_increment_nesting (function)
• torch.autocast_decrement_nesting (function)
• torch.set_anomaly_enabled (function)
• torch.is_anomaly_enabled (function)
• torch.Generator (class)
• torch.FatalError (class)
• torch.Size (class)
• torch.dtype (class)
• torch.finfo (class)
• torch.iinfo (class)
• torch.layout (class)
• torch.memory_format (class)
• torch.qscheme (class)
• torch.device (class)
• torch.JITException (class)
• torch.IODescriptor (class)
• torch.CompleteArgumentSpec (class)
• torch.ArgumentSpec (class)
• torch.Code (class)
• torch.ExecutionPlan (class)
• torch.Gradient (class)
• torch.GraphExecutorState (class)
• torch.PyTorchFileWriter (class)
• torch.MobileOptimizerType (class)
• torch.CONV_BN_FUSION (MobileOptimizerType)
• torch.INSERT_FOLD_PREPACK_OPS (MobileOptimizerType)
• torch.REMOVE_DROPOUT (MobileOptimizerType)
• torch.FUSE_ADD_RELU (MobileOptimizerType)
• torch.HOIST_CONV_PACKED_PARAMS (MobileOptimizerType)
• torch.PyTorchFileReader (class)
• torch.parse_ir (function)
• torch.parse_schema (function)
• torch.unify_type_list (function)
• torch.FunctionSchema (class)
• torch.Argument (class)
• torch.Future (class)
• torch.fork (function)
• torch.wait (function)
• torch.ScriptClass (class)
• torch.Graph (class)
• torch.Value (class)
• torch.Block (class)
• torch.Node (class)
• torch.AnyType (class)
• torch.NumberType (class)
• torch.IntType (class)
• torch.FloatType (class)
• torch.TensorType (class)
• torch.BoolType (class)
• torch.StringType (class)
• torch.DeviceObjType (class)
• torch.PyObjectType (class)
• torch.NoneType (class)
• torch.TupleType (class)
• torch.ListType (class)
• torch.DictType (class)
• torch.OptionalType (class)
• torch.RRefType (class)
• torch.FutureType (class)
• torch.ClassType (class)
• torch.EnumType (class)
• torch.InterfaceType (class)
• torch.Use (class)
• torch.TracingState (class)
• torch.Capsule (class)
• torch.ScriptObject (class)
• torch.DeepCopyMemoTable (class)
• torch.ScriptModule (class)
• torch.LiteScriptModule (class)
• torch.ParameterDict (class)
• torch.BufferDict (class)
• torch.ModuleDict (class)
• torch.ErrorReport (class)
• torch.CompilationUnit (class)
• torch.ScriptFunction (class)
• torch.ScriptMethod (class)
• torch.CallStack (class)
• torch.parse_type_comment (function)
• torch.merge_type_from_type_comment (function)
• torch.import_ir_module (function)
• torch.import_ir_module_from_buffer (function)
• torch.FileCheck (class)
• torch.ConcreteModuleTypeBuilder (class)
• torch.ConcreteModuleType (class)
• torch.LoggerBase (class)
• torch.AggregationType (class)
• torch.SUM (AggregationType)
• torch.AVG (AggregationType)
• torch.LockingLogger (class)
• torch.NoopLogger (class)
• torch.StaticRuntime (class)
• torch.BenchmarkConfig (class)
• torch.BenchmarkExecutionStats (class)
• torch.ThroughputBenchmark (class)
• torch.cpp (module)
• torch.HalfStorageBase (class)
• torch.QInt8StorageBase (class)
• torch.QInt32StorageBase (class)
• torch.CudaDoubleStorageBase (class)
• torch.CudaFloatStorageBase (class)
• torch.CudaHalfStorageBase (class)
• torch.CudaLongStorageBase (class)
• torch.CudaIntStorageBase (class)
• torch.CudaShortStorageBase (class)
• torch.CudaCharStorageBase (class)
• torch.CudaByteStorageBase (class)
• torch.CudaBoolStorageBase (class)
• torch.CudaBFloat16StorageBase (class)
• torch.CudaComplexDoubleStorageBase (class)
• torch.CudaComplexFloatStorageBase (class)
• torch.has_cudnn (bool)
• torch.init_num_threads (function)
• torch.has_openmp (bool)
• torch.has_mkl (bool)
• torch.has_lapack (bool)
• torch.has_cuda (bool)
• torch.has_mkldnn (bool)
• torch.default_generator (Generator)
• torch.DisableTorchFunction (class)
• torch.typename (function)
• torch.is_tensor (function)
• torch.is_storage (function)
• torch.set_default_tensor_type (function)
• torch.set_default_dtype (function)
• torch.set_deterministic (function)
• torch.is_deterministic (function)
• torch.utils (module)
• torch.tensor (function)
• torch.Tensor (class)
• torch.storage (module)
• torch.DoubleStorage (class)
• torch.FloatStorage (class)
• torch.HalfStorage (class)
• torch.LongStorage (class)
• torch.IntStorage (class)
• torch.ShortStorage (class)
• torch.CharStorage (class)
• torch.ByteStorage (class)
• torch.BoolStorage (class)
• torch.BFloat16Storage (class)
• torch.ComplexDoubleStorage (class)
• torch.ComplexFloatStorage (class)
• torch.QUInt8Storage (class)
• torch.QInt8Storage (class)
• torch.QInt32Storage (class)
• torch.random (module)
• torch.set_rng_state (function)
• torch.get_rng_state (function)
• torch.manual_seed (function)
• torch.initial_seed (function)
• torch.seed (function)
• torch.types (module)
• torch.serialization (module)
• torch.save (function)
• torch.load (function)
• torch.set_printoptions (function)
• torch.strided (layout)
• torch.sparse_coo (layout)
• torch.preserve_format (memory_format)
• torch.contiguous_format (memory_format)
• torch.channels_last (memory_format)
• torch.channels_last_3d (memory_format)
• torch.per_tensor_affine (qscheme)
• torch.per_channel_affine (qscheme)
• torch.per_tensor_symmetric (qscheme)
• torch.per_channel_symmetric (qscheme)
• torch.per_channel_affine_float_qparams (qscheme)
• torch.uint8 (dtype)
• torch.int8 (dtype)
• torch.int16 (dtype)
• torch.short (dtype)
• torch.int32 (dtype)
• torch.int (dtype)
• torch.int64 (dtype)
• torch.long (dtype)
• torch.float16 (dtype)
• torch.half (dtype)
• torch.float32 (dtype)
• torch.float (dtype)
• torch.float64 (dtype)
• torch.double (dtype)
• torch.complex32 (dtype)
• torch.complex64 (dtype)
• torch.cfloat (dtype)
• torch.complex128 (dtype)
• torch.cdouble (dtype)
• torch.bool (dtype)
• torch.qint8 (dtype)
• torch.quint8 (dtype)
• torch.qint32 (dtype)
• torch.bfloat16 (dtype)
• torch.Storage (class)
• torch.ByteTensor (class)
• torch.CharTensor (class)
• torch.DoubleTensor (class)
• torch.FloatTensor (class)
• torch.IntTensor (class)
• torch.LongTensor (class)
• torch.ShortTensor (class)
• torch.HalfTensor (class)
• torch.BoolTensor (class)
• torch.BFloat16Tensor (class)
• torch.cuda (module)
• torch.sparse (module)
• torch.name (str)
• torch.abs (function)
• torch.abs_ (function)
• torch.absolute (function)
• torch.acos (function)
• torch.acos_ (function)
• torch.acosh (function)
• torch.acosh_ (function)
• torch.adaptive_avg_pool1d (function)
• torch.adaptive_max_pool1d (function)
• torch.add (function)
• torch.addbmm (function)
• torch.addcdiv (function)
• torch.addcmul (function)
• torch.addmm (function)
• torch.addmv (function)
• torch.addmv_ (function)
• torch.addr (function)
• torch.affine_grid_generator (function)
• torch.align_tensors (function)
• torch.all (function)
• torch.allclose (function)
• torch.alpha_dropout (function)
• torch.alpha_dropout_ (function)
• torch.amax (function)
• torch.amin (function)
• torch.angle (function)
• torch.any (function)
• torch.arange (function)
• torch.arccos (function)
• torch.arccos_ (function)
• torch.arccosh (function)
• torch.arccosh_ (function)
• torch.arcsin (function)
• torch.arcsin_ (function)
• torch.arcsinh (function)
• torch.arcsinh_ (function)
• torch.arctan (function)
• torch.arctan_ (function)
• torch.arctanh (function)
• torch.arctanh_ (function)
• torch.argmax (function)
• torch.argmin (function)
• torch.argsort (function)
• torch.as_strided (function)
• torch.as_strided_ (function)
• torch.as_tensor (function)
• torch.asin (function)
• torch.asin_ (function)
• torch.asinh (function)
• torch.asinh_ (function)
• torch.atan (function)
• torch.atan2 (function)
• torch.atan_ (function)
• torch.atanh (function)
• torch.atanh_ (function)
• torch.atleast_1d (function)
• torch.atleast_2d (function)
• torch.atleast_3d (function)
• torch.avg_pool1d (function)
• torch.baddbmm (function)
• torch.bartlett_window (function)
• torch.batch_norm (function)
• torch.batch_norm_backward_elemt (function)
• torch.batch_norm_backward_reduce (function)
• torch.batch_norm_elemt (function)
• torch.batch_norm_gather_stats (function)
• torch.batch_norm_gather_stats_with_counts (function)
• torch.batch_norm_stats (function)
• torch.batch_norm_update_stats (function)
• torch.bernoulli (function)
• torch.bilinear (function)
• torch.binary_cross_entropy_with_logits (function)
• torch.bincount (function)
• torch.binomial (function)
• torch.bitwise_and (function)
• torch.bitwise_not (function)
• torch.bitwise_or (function)
• torch.bitwise_xor (function)
• torch.blackman_window (function)
• torch.block_diag (function)
• torch.bmm (function)
• torch.broadcast_tensors (function)
• torch.bucketize (function)
• torch.can_cast (function)
• torch.cartesian_prod (function)
• torch.cat (function)
• torch.cdist (function)
• torch.ceil (function)
• torch.ceil_ (function)
• torch.celu (function)
• torch.celu_ (function)
• torch.chain_matmul (function)
• torch.channel_shuffle (function)
• torch.cholesky (function)
• torch.cholesky_inverse (function)
• torch.cholesky_solve (function)
• torch.choose_qparams_optimized (function)
• torch.chunk (function)
• torch.clamp (function)
• torch.clamp_ (function)
• torch.clamp_max (function)
• torch.clamp_max_ (function)
• torch.clamp_min (function)
• torch.clamp_min_ (function)
• torch.clip (function)
• torch.clip_ (function)
• torch.clone (function)
• torch.combinations (function)
• torch.complex (function)
• torch.conj (function)
• torch.constant_pad_nd (function)
• torch.conv1d (function)
• torch.conv2d (function)
• torch.conv3d (function)
• torch.conv_tbc (function)
• torch.conv_transpose1d (function)
• torch.conv_transpose2d (function)
• torch.conv_transpose3d (function)
• torch.convolution (function)
• torch.cos (function)
• torch.cos_ (function)
• torch.cosh (function)
• torch.cosh_ (function)
• torch.cosine_embedding_loss (function)
• torch.cosine_similarity (function)
• torch.count_nonzero (function)
• torch.cross (function)
• torch.ctc_loss (function)
• torch.cudnn_affine_grid_generator (function)
• torch.cudnn_batch_norm (function)
• torch.cudnn_convolution (function)
• torch.cudnn_convolution_transpose (function)
• torch.cudnn_grid_sampler (function)
• torch.cudnn_is_acceptable (function)
• torch.cummax (function)
• torch.cummin (function)
• torch.cumprod (function)
• torch.cumsum (function)
• torch.deg2rad (function)
• torch.deg2rad_ (function)
• torch.dequantize (function)
• torch.det (function)
• torch.detach (function)
• torch.detach_ (function)
• torch.diag (function)
• torch.diag_embed (function)
• torch.diagflat (function)
• torch.diagonal (function)
• torch.digamma (function)
• torch.dist (function)
• torch.div (function)
• torch.divide (function)
• torch.dot (function)
• torch.dropout (function)
• torch.dropout_ (function)
• torch.dsmm (function)
• torch.dstack (function)
• torch.eig (function)
• torch.einsum (function)
• torch.embedding (function)
• torch.embedding_bag (function)
• torch.embedding_renorm_ (function)
• torch.empty (function)
• torch.empty_like (function)
• torch.empty_meta (function)
• torch.empty_quantized (function)
• torch.empty_strided (function)
• torch.eq (function)
• torch.equal (function)
• torch.erf (function)
• torch.erf_ (function)
• torch.erfc (function)
• torch.erfc_ (function)
• torch.erfinv (function)
• torch.exp (function)
• torch.exp2 (function)
• torch.exp2_ (function)
• torch.exp_ (function)
• torch.expm1 (function)
• torch.expm1_ (function)
• torch.eye (function)
• torch.fake_quantize_per_channel_affine (function)
• torch.fake_quantize_per_tensor_affine (function)
• torch.fbgemm_linear_fp16_weight (function)
• torch.fbgemm_linear_fp16_weight_fp32_activation (function)
• torch.fbgemm_linear_int8_weight (function)
• torch.fbgemm_linear_int8_weight_fp32_activation (function)
• torch.fbgemm_linear_quantize_weight (function)
• torch.fbgemm_pack_gemm_matrix_fp16 (function)
• torch.fbgemm_pack_quantized_matrix (function)
• torch.feature_alpha_dropout (function)
• torch.feature_alpha_dropout_ (function)
• torch.feature_dropout (function)
• torch.feature_dropout_ (function)
• torch.fft (function)
• torch.fill_ (function)
• torch.fix (function)
• torch.fix_ (function)
• torch.flatten (function)
• torch.flip (function)
• torch.fliplr (function)
• torch.flipud (function)
• torch.floor (function)
• torch.floor_ (function)
• torch.floor_divide (function)
• torch.fmod (function)
• torch.frac (function)
• torch.frac_ (function)
• torch.frobenius_norm (function)
• torch.from_file (function)
• torch.from_numpy (function)
• torch.full (function)
• torch.full_like (function)
• torch.gather (function)
• torch.gcd (function)
• torch.gcd_ (function)
• torch.ge (function)
• torch.geqrf (function)
• torch.ger (function)
• torch.get_device (function)
• torch.greater (function)
• torch.greater_equal (function)
• torch.grid_sampler (function)
• torch.grid_sampler_2d (function)
• torch.grid_sampler_3d (function)
• torch.group_norm (function)
• torch.gru (function)
• torch.gru_cell (function)
• torch.gt (function)
• torch.hamming_window (function)
• torch.hann_window (function)
• torch.hardshrink (function)
• torch.heaviside (function)
• torch.hinge_embedding_loss (function)
• torch.histc (function)
• torch.hsmm (function)
• torch.hspmm (function)
• torch.hstack (function)
• torch.hypot (function)
• torch.i0 (function)
• torch.i0_ (function)
• torch.ifft (function)
• torch.imag (function)
• torch.index_add (function)
• torch.index_copy (function)
• torch.index_fill (function)
• torch.index_put (function)
• torch.index_put_ (function)
• torch.index_select (function)
• torch.instance_norm (function)
• torch.int_repr (function)
• torch.inverse (function)
• torch.irfft (function)
• torch.is_complex (function)
• torch.is_distributed (function)
• torch.is_floating_point (function)
• torch.is_nonzero (function)
• torch.is_same_size (function)
• torch.is_signed (function)
• torch.is_vulkan_available (function)
• torch.isclose (function)
• torch.isfinite (function)
• torch.isinf (function)
• torch.isnan (function)
• torch.isneginf (function)
• torch.isposinf (function)
• torch.isreal (function)
• torch.istft (function)
• torch.kaiser_window (function)
• torch.kl_div (function)
• torch.kthvalue (function)
• torch.layer_norm (function)
• torch.lcm (function)
• torch.lcm_ (function)
• torch.le (function)
• torch.lerp (function)
• torch.less (function)
• torch.less_equal (function)
• torch.lgamma (function)
• torch.linspace (function)
• torch.log (function)
• torch.log10 (function)
• torch.log10_ (function)
• torch.log1p (function)
• torch.log1p_ (function)
• torch.log2 (function)
• torch.log2_ (function)
• torch.log_ (function)
• torch.log_softmax (function)
• torch.logaddexp (function)
• torch.logaddexp2 (function)
• torch.logcumsumexp (function)
• torch.logdet (function)
• torch.logical_and (function)
• torch.logical_not (function)
• torch.logical_or (function)
• torch.logical_xor (function)
• torch.logit (function)
• torch.logit_ (function)
• torch.logspace (function)
• torch.logsumexp (function)
• torch.lstm (function)
• torch.lstm_cell (function)
• torch.lstsq (function)
• torch.lt (function)
• torch.lu_solve (function)
• torch.margin_ranking_loss (function)
• torch.masked_fill (function)
• torch.masked_scatter (function)
• torch.masked_select (function)
• torch.matmul (function)
• torch.matrix_exp (function)
• torch.matrix_power (function)
• torch.matrix_rank (function)
• torch.max (function)
• torch.max_pool1d (function)
• torch.max_pool1d_with_indices (function)
• torch.max_pool2d (function)
• torch.max_pool3d (function)
• torch.maximum (function)
• torch.mean (function)
• torch.median (function)
• torch.meshgrid (function)
• torch.min (function)
• torch.minimum (function)
• torch.miopen_batch_norm (function)
• torch.miopen_convolution (function)
• torch.miopen_convolution_transpose (function)
• torch.miopen_depthwise_convolution (function)
• torch.miopen_rnn (function)
• torch.mkldnn_adaptive_avg_pool2d (function)
• torch.mkldnn_convolution (function)
• torch.mkldnn_convolution_backward_weights (function)
• torch.mkldnn_max_pool2d (function)
• torch.mkldnn_max_pool3d (function)
• torch.mm (function)
• torch.mode (function)
• torch.movedim (function)
• torch.mul (function)
• torch.multinomial (function)
• torch.multiply (function)
• torch.mv (function)
• torch.mvlgamma (function)
• torch.nanquantile (function)
• torch.nansum (function)
• torch.narrow (function)
• torch.native_batch_norm (function)
• torch.native_group_norm (function)
• torch.native_layer_norm (function)
• torch.native_norm (function)
• torch.ne (function)
• torch.neg (function)
• torch.neg_ (function)
• torch.negative (function)
• torch.negative_ (function)
• torch.nextafter (function)
• torch.nonzero (function)
• torch.norm (function)
• torch.norm_except_dim (function)
• torch.normal (function)
• torch.not_equal (function)
• torch.nuclear_norm (function)
• torch.numel (function)
• torch.ones (function)
• torch.ones_like (function)
• torch.orgqr (function)
• torch.ormqr (function)
• torch.outer (function)
• torch.pairwise_distance (function)
• torch.pdist (function)
• torch.pinverse (function)
• torch.pixel_shuffle (function)
• torch.poisson (function)
• torch.poisson_nll_loss (function)
• torch.polar (function)
• torch.polygamma (function)
• torch.pow (function)
• torch.prelu (function)
• torch.prod (function)
• torch.promote_types (function)
• torch.q_per_channel_axis (function)
• torch.q_per_channel_scales (function)
• torch.q_per_channel_zero_points (function)
• torch.q_scale (function)
• torch.q_zero_point (function)
• torch.qr (function)
• torch.quantile (function)
• torch.quantize_per_channel (function)
• torch.quantize_per_tensor (function)
• torch.quantized_batch_norm (function)
• torch.quantized_gru_cell (function)
• torch.quantized_lstm_cell (function)
• torch.quantized_max_pool1d (function)
• torch.quantized_max_pool2d (function)
• torch.quantized_rnn_relu_cell (function)
• torch.quantized_rnn_tanh_cell (function)
• torch.rad2deg (function)
• torch.rad2deg_ (function)
• torch.rand (function)
• torch.rand_like (function)
• torch.randint (function)
• torch.randint_like (function)
• torch.randn (function)
• torch.randn_like (function)
• torch.randperm (function)
• torch.range (function)
• torch.real (function)
• torch.reciprocal (function)
• torch.reciprocal_ (function)
• torch.relu (function)
• torch.relu_ (function)
• torch.remainder (function)
• torch.renorm (function)
• torch.repeat_interleave (function)
• torch.reshape (function)
• torch.resize_as_ (function)
• torch.result_type (function)
• torch.rfft (function)
• torch.rnn_relu (function)
• torch.rnn_relu_cell (function)
• torch.rnn_tanh (function)
• torch.rnn_tanh_cell (function)
• torch.roll (function)
• torch.rot90 (function)
• torch.round (function)
• torch.round_ (function)
• torch.rrelu (function)
• torch.rrelu_ (function)
• torch.rsqrt (function)
• torch.rsqrt_ (function)
• torch.rsub (function)
• torch.saddmm (function)
• torch.scalar_tensor (function)
• torch.scatter (function)
• torch.scatter_add (function)
• torch.searchsorted (function)
• torch.select (function)
• torch.selu (function)
• torch.selu_ (function)
• torch.sgn (function)
• torch.sigmoid (function)
• torch.sigmoid_ (function)
• torch.sign (function)
• torch.signbit (function)
• torch.sin (function)
• torch.sin_ (function)
• torch.sinh (function)
• torch.sinh_ (function)
• torch.slogdet (function)
• torch.smm (function)
• torch.softmax (function)
• torch.solve (function)
• torch.sort (function)
• torch.sparse_coo_tensor (function)
• torch.split (function)
• torch.split_with_sizes (function)
• torch.spmm (function)
• torch.sqrt (function)
• torch.sqrt_ (function)
• torch.square (function)
• torch.square_ (function)
• torch.squeeze (function)
• torch.sspaddmm (function)
• torch.stack (function)
• torch.std (function)
• torch.std_mean (function)
• torch.stft (function)
• torch.sub (function)
• torch.subtract (function)
• torch.sum (function)
• torch.svd (function)
• torch.symeig (function)
• torch.t (function)
• torch.take (function)
• torch.tan (function)
• torch.tan_ (function)
• torch.tanh (function)
• torch.tanh_ (function)
• torch.tensordot (function)
• torch.threshold (function)
• torch.threshold_ (function)
• torch.topk (function)
• torch.trace (function)
• torch.transpose (function)
• torch.trapz (function)
• torch.triangular_solve (function)
• torch.tril (function)
• torch.tril_indices (function)
• torch.triplet_margin_loss (function)
• torch.triu (function)
• torch.triu_indices (function)
• torch.true_divide (function)
• torch.trunc (function)
• torch.trunc_ (function)
• torch.unbind (function)
• torch.unique_consecutive (function)
• torch.unsafe_chunk (function)
• torch.unsafe_split (function)
• torch.unsafe_split_with_sizes (function)
• torch.unsqueeze (function)
• torch.vander (function)
• torch.var (function)
• torch.var_mean (function)
• torch.vdot (function)
• torch.view_as_complex (function)
• torch.view_as_real (function)
• torch.vstack (function)
• torch.where (function)
• torch.zero_ (function)
• torch.zeros (function)
• torch.zeros_like (function)
• torch.distributed (module)
• torch.testing (module)
• torch.overrides (module)
• torch.futures (module)
• torch.autograd (module)
• torch.nn (module)
• torch.functional (module)
• torch.lu (function)
• torch.lu_unpack (function)
• torch.pca_lowrank (function)
• torch.svd_lowrank (function)
• torch.unique (function)
• torch.no_grad (class)
• torch.enable_grad (class)
• torch.set_grad_enabled (class)
• torch.backends (module)
• torch.jit (module)
• torch.optim (module)
• torch.multiprocessing (module)
• torch.onnx (module)
• torch.linalg (module)
• torch.hub (module)
• torch.distributions (module)
• torch.quantization (module)
• torch.compiled_with_cxx11_abi (function)
• torch.ops (_Ops)
• torch.classes (_Classes)
• torch.quasirandom (module)
• torch.legacy_contiguous_format (memory_format)
• torch.lobpcg (function)
• torch.quantized_lstm (function)
• torch.quantized_gru (function)
• torch.Assert (function)