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allowlist_for_publicAPI.json
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{
"being_migrated": {
"torch.nn.intrinsic": "torch.ao.nn.intrinsic",
"torch.nn.intrinsic.modules": "torch.ao.nn.intrinsic.modules",
"torch.nn.intrinsic.modules.fused": "torch.ao.nn.intrinsic.modules.fused",
"torch.nn.intrinsic.qat": "torch.ao.nn.intrinsic.qat",
"torch.nn.intrinsic.qat.modules": "torch.ao.nn.intrinsic.qat.modules",
"torch.nn.intrinsic.qat.modules.conv_fused": "torch.ao.nn.intrinsic.qat.modules.conv_fused",
"torch.nn.intrinsic.qat.modules.linear_fused": "torch.ao.nn.intrinsic.qat.modules.linear_fused",
"torch.nn.intrinsic.qat.modules.linear_relu": "torch.ao.nn.intrinsic.qat.modules.linear_relu",
"torch.nn.intrinsic.quantized": "torch.ao.nn.intrinsic.quantized",
"torch.nn.intrinsic.quantized.modules": "torch.ao.nn.intrinsic.quantized.modules",
"torch.nn.intrinsic.quantized.modules.bn_relu": "torch.ao.nn.intrinsic.quantized.modules.bn_relu",
"torch.nn.intrinsic.quantized.modules.conv_relu": "torch.ao.nn.intrinsic.quantized.modules.conv_relu",
"torch.nn.intrinsic.quantized.modules.linear_relu": "torch.ao.nn.intrinsic.quantized.modules.linear_relu",
"torch.nn.intrinsic.quantized.dynamic": "torch.ao.nn.intrinsic.quantized.dynamic",
"torch.nn.intrinsic.quantized.dynamic.modules": "torch.ao.nn.intrinsic.quantized.dynamic.modules",
"torch.nn.intrinsic.quantized.dynamic.modules.linear_relu": "torch.ao.nn.intrinsic.quantized.dynamic.modules.linear_relu",
"torch.nn.qat": "torch.ao.nn.qat",
"torch.nn.qat.dynamic": "torch.ao.nn.qat.dynamic",
"torch.nn.qat.dynamic.modules": "torch.ao.nn.qat.dynamic.modules",
"torch.nn.qat.dynamic.modules.linear": "torch.ao.nn.qat.dynamic.modules.linear",
"torch.nn.qat.modules": "torch.ao.nn.qat.modules",
"torch.nn.qat.modules.conv": "torch.ao.nn.qat.modules.conv",
"torch.nn.qat.modules.embedding_ops": "torch.ao.nn.qat.modules.embedding_ops",
"torch.nn.qat.modules.linear": "torch.ao.nn.qat.modules.linear",
"torch.nn.quantized.functional": "torch.ao.nn.quantized.functional",
"torch.nn.quantized": "torch.ao.nn.quantized",
"torch.nn.quantized.modules": "torch.ao.nn.quantized.modules",
"torch.nn.quantized.dynamic": "torch.ao.nn.quantized.dynamic",
"torch.nn.quantized.dynamic.modules": "torch.ao.nn.quantized.dynamic.modules",
"torch.nn.quantized.dynamic.modules.rnn": "torch.ao.nn.quantized.dynamic.modules.rnn",
"torch.nn.quantizable": "torch.ao.nn.quantizable",
"torch.nn.quantizable.modules": "torch.ao.nn.quantizable.modules",
"torch.nn.quantizable.modules.activation": "torch.ao.nn.quantizable.modules.activation",
"torch.nn.quantizable.modules.rnn": "torch.ao.nn.quantizable.modules.rnn"
},
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"detect_anomaly",
"enable_grad",
"grad",
"gradcheck",
"gradgradcheck",
"inference_mode",
"no_grad",
"set_detect_anomaly",
"set_grad_enabled",
"set_multithreading_enabled",
"variable"
],
"torch.backends": [
"contextmanager"
],
"torch.cuda.comm": [
"broadcast",
"broadcast_coalesced",
"reduce_add",
"reduce_add_coalesced",
"scatter",
"gather"
],
"torch.cuda.nccl": [
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"is_available",
"unique_id",
"version"
],
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"AllreduceCoalescedOptions",
"AllreduceOptions",
"BarrierOptions",
"BroadcastOptions",
"BuiltinCommHookType",
"Callable",
"DebugLevel",
"Dict",
"Enum",
"FileStore",
"GatherOptions",
"GradBucket",
"HashStore",
"Logger",
"namedtuple",
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"ProcessGroupGloo",
"ReduceOp",
"ReduceOptions",
"ReduceScatterOptions",
"Reducer",
"ScatterOptions",
"Store",
"TCPStore",
"Tuple",
"Union",
"get_debug_level",
"set_debug_level",
"set_debug_level_from_env",
"timedelta",
"ProcessGroupMPI",
"ProcessGroupNCCL"
],
"torch.distributed.autograd": [
"DistAutogradContext",
"backward",
"get_gradients"
],
"torch.distributed.elastic.events": [
"Dict",
"Enum",
"EventMetadataValue",
"Optional"
],
"torch.distributed.elastic.events.handlers": [
"Dict"
],
"torch.distributed.elastic.metrics": [
"Optional"
],
"torch.distributed.elastic.multiprocessing": [
"Callable",
"Dict",
"Tuple",
"Union",
"get_logger"
],
"torch.distributed.elastic.multiprocessing.redirects": [
"contextmanager",
"partial",
"redirect_stderr",
"redirect_stdout"
],
"torch.distributed.elastic.rendezvous": [
"RendezvousHandlerCreator"
],
"torch.distributed.elastic.rendezvous.api": [
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"Any",
"Callable",
"Dict",
"Optional",
"RendezvousHandlerCreator",
"Store",
"Tuple",
"abstractmethod"
],
"torch.distributed.elastic.rendezvous.dynamic_rendezvous": [
"get_method_name"
],
"torch.distributed.elastic.utils.api": [
"Any",
"List",
"Template"
],
"torch.distributed.elastic.utils.data.elastic_distributed_sampler": [
"DistributedSampler"
],
"torch.distributed.elastic.utils.logging": [
"Optional",
"get_log_level"
],
"torch.distributed.elastic.utils.store": [
"List",
"timedelta"
],
"torch.distributed.nn": [
"Function",
"ReduceOp",
"group"
],
"torch.distributed.nn.functional": [
"Function",
"ReduceOp",
"group"
],
"torch.distributed.nn.jit.instantiator": [
"Optional",
"get_remote_module_template"
],
"torch.distributed.optim.utils": [
"Type"
],
"torch.distributed.pipeline.sync.pipe": [
"Pipeline"
],
"torch.distributed.pipeline.sync.skip.layout": [
"SkipLayout",
"inspect_skip_layout"
],
"torch.distributed.pipeline.sync.skip.portal": [
"Context",
"Portal",
"PortalBlue",
"PortalCopy",
"PortalOrange"
],
"torch.distributed.pipeline.sync.skip.skippable": [
"Skippable"
],
"torch.distributed.pipeline.sync.skip.tracker": [
"SkipTracker",
"SkipTrackerThroughPotals",
"ThreadLocal",
"current_skip_tracker",
"use_skip_tracker"
],
"torch.distributed.remote_device": [
"Optional",
"Union"
],
"torch.distributed.rendezvous": [
"Dict",
"FileStore",
"Iterable",
"Optional",
"PrefixStore",
"Store",
"TCPStore",
"Tuple",
"Union",
"cast",
"timedelta",
"urlparse",
"urlunparse"
],
"torch.distributed.rpc": [
],
"torch.fft": [
"Tensor",
"fft",
"fft2",
"fftfreq",
"fftn",
"fftshift",
"hfft",
"ifft",
"ifft2",
"ifftn",
"ifftshift",
"ihfft",
"irfft",
"irfft2",
"irfftn",
"rfft",
"rfft2",
"rfftfreq",
"rfftn"
],
"torch.functional": [
"istft",
"pca_lowrank",
"svd_lowrank"
],
"torch.futures": [
"Future"
],
"torch.fx": [
"ProxyableClassMeta",
"Tracer",
"symbolic_trace",
"wrap"
],
"torch.fx.experimental.unification.core": [
"Iterator",
"assoc",
"dispatch",
"isvar",
"partial",
"unify",
"walk"
],
"torch.fx.experimental.unification.dispatch": [
"dispatch",
"partial"
],
"torch.fx.experimental.unification.more": [
"dispatch",
"reify",
"unify"
],
"torch.fx.experimental.unification.unification_tools": [
"first",
"getter",
"groupby"
],
"torch.fx.experimental.unification.variable": [
"contextmanager",
"dispatch",
"hashable",
"isvar"
],
"torch.fx.proxy": [
"assert_fn"
],
"torch.hub": [
"HTTPError",
"Path",
"Request",
"tqdm",
"urlopen",
"urlparse"
],
"torch.jit": [
"Attribute",
"Final",
"Iterator",
"ONNXTracedModule",
"RecursiveScriptClass",
"RecursiveScriptModule",
"ScriptModule",
"ScriptWarning",
"TopLevelTracedModule",
"TracedModule",
"TracerWarning",
"TracingCheckError",
"contextmanager",
"export",
"fork",
"freeze",
"fuser",
"ignore",
"interface",
"is_scripting",
"is_tracing",
"jit_module_from_flatbuffer",
"last_executed_optimized_graph",
"load",
"optimize_for_inference",
"optimized_execution",
"run_frozen_optimizations",
"save",
"save_jit_module_to_flatbuffer",
"script",
"script_method",
"set_fusion_strategy",
"set_module",
"trace",
"trace_module",
"unused",
"wait"
],
"torch.jit.annotations": [
"Any",
"AnyType",
"ComplexType",
"Dict",
"DictType",
"EvalEnv",
"FloatType",
"IntType",
"List",
"ListType",
"StringType",
"TensorType",
"Tuple",
"TupleType",
"get_enum_value_type",
"is_dict",
"is_function_or_method",
"is_list",
"is_optional",
"is_tensor",
"is_tuple",
"is_union",
"is_vararg"
],
"torch.jit.frontend": [
"Apply",
"Assert",
"Assign",
"Attribute",
"AugAssign",
"BinOp",
"Break",
"ClassDef",
"Const",
"Continue",
"Decl",
"Def",
"Delete",
"DictComp",
"DictLiteral",
"Dots",
"EmptyTypeAnnotation",
"ExprStmt",
"FalseLiteral",
"For",
"FunctionModifiers",
"Ident",
"If",
"List",
"ListComp",
"ListLiteral",
"NoneLiteral",
"Param",
"Pass",
"Property",
"Raise",
"Return",
"Select",
"SliceExpr",
"Starred",
"Stmt",
"StringLiteral",
"Subscript",
"TernaryIf",
"TrueLiteral",
"Tuple",
"TupleLiteral",
"UnaryOp",
"Var",
"While",
"With",
"WithItem",
"dedent",
"get_qualified_name",
"get_source_lines_and_file",
"is_static_fn",
"make_source_context",
"namedtuple",
"parse_def",
"should_drop",
"monkeytype_trace"
],
"torch.linalg": [
"LinAlgError",
"Tensor",
"cholesky",
"cholesky_ex",
"cond",
"cross",
"det",
"diagonal",
"eig",
"eigh",
"eigvals",
"eigvalsh",
"householder_product",
"inv",
"inv_ex",
"ldl_factor",
"ldl_factor_ex",
"ldl_solve",
"lstsq",
"lu",
"lu_factor",
"lu_factor_ex",
"lu_solve",
"matmul",
"matrix_exp",
"matrix_norm",
"matrix_power",
"matrix_rank",
"multi_dot",
"norm",
"pinv",
"qr",
"slogdet",
"solve",
"solve_ex",
"solve_triangular",
"svd",
"svdvals",
"tensorinv",
"tensorsolve",
"vander",
"vecdot",
"vector_norm"
],
"torch.multiprocessing": [
"Array",
"AuthenticationError",
"Barrier",
"BoundedSemaphore",
"BufferTooShort",
"Condition",
"Event",
"JoinableQueue",
"Lock",
"Manager",
"Pipe",
"Pool",
"Process",
"ProcessContext",
"ProcessError",
"ProcessExitedException",
"ProcessRaisedException",
"Queue",
"RLock",
"RawArray",
"RawValue",
"Semaphore",
"SimpleQueue",
"SpawnContext",
"TimeoutError",
"Value",
"active_children",
"allow_connection_pickling",
"cpu_count",
"current_process",
"freeze_support",
"get_all_start_methods",
"get_context",
"get_logger",
"get_start_method",
"init_reductions",
"log_to_stderr",
"set_executable",
"set_forkserver_preload",
"set_start_method",
"spawn",
"start_processes",
"parent_process"
],
"torch.multiprocessing.reductions": [
"ForkingPickler",
"Union",
"check_serializing_named_tensor",
"register_after_fork"
],
"torch.multiprocessing.spawn": [
"Optional"
],
"torch.nested": [
"to_padded_tensor"
],
"torch.nn.common_types": [
"Optional",
"Tensor",
"Tuple",
"TypeVar",
"Union"
],
"torch.nn.functional": [
"Callable",
"DType",
"List",
"Optional",
"Tensor",
"Tuple",
"Union",
"adaptive_avg_pool1d",
"avg_pool1d",
"avg_pool2d",
"avg_pool3d",
"bilinear",
"boolean_dispatch",
"celu_",
"channel_shuffle",
"conv1d",
"conv2d",
"conv3d",
"conv_tbc",
"conv_transpose1d",
"conv_transpose2d",
"conv_transpose3d",
"cosine_similarity",
"elu_",
"gelu",
"handle_torch_function",
"hardshrink",
"hardtanh_",
"has_torch_function",
"has_torch_function_unary",
"has_torch_function_variadic",
"leaky_relu_",
"linear",
"logsigmoid",
"native_channel_shuffle",
"one_hot",
"pairwise_distance",
"pdist",
"pixel_shuffle",
"pixel_unshuffle",
"prelu",
"relu_",
"rrelu_",
"selu_",
"softplus",
"softshrink",
"threshold_"
],
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