allowlist_for_publicAPI.json

{
  "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",
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  ],
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    "broadcast_coalesced",
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    "reduce_add_coalesced",
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    "AllreduceOptions",
    "BarrierOptions",
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    "BuiltinCommHookType",
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    "DebugLevel",
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    "FileStore",
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    "set_debug_level",
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    "timedelta",
    "ProcessGroupMPI",
    "ProcessGroupNCCL"
  ],
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    "DictValueType",
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    "FSDP",
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    "asdict",
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    "chain",
    "dataclass",
    "field",
    "no_type_check"
  ],
  "torch.distributed.autograd": [
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    "get_gradients"
  ],
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    "Enum",
    "EventMetadataValue",
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  ],
  "torch.distributed.elastic.events.handlers": [
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    "Optional",
    "ScubaLogHandler",
    "ScubaRdzvLogHandler"
  ],
  "torch.distributed.elastic.metrics": [
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    "get_logger",
    "TorchElasticService"
  ],
  "torch.distributed.elastic.multiprocessing": [
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    "Dict",
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    "partial",
    "redirect_stderr",
    "redirect_stdout"
  ],
  "torch.distributed.elastic.rendezvous": [
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  ],
  "torch.distributed.elastic.rendezvous.api": [
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    "Callable",
    "Dict",
    "Optional",
    "RendezvousHandlerCreator",
    "Store",
    "Tuple",
    "abstractmethod"
  ],
  "torch.distributed.elastic.rendezvous.dynamic_rendezvous": [
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  ],
  "torch.distributed.elastic.utils.api": [
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    "List",
    "Template"
  ],
  "torch.distributed.elastic.utils.data.elastic_distributed_sampler": [
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  "torch.distributed.elastic.utils.logging": [
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    "get_log_level"
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  "torch.distributed.elastic.utils.store": [
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    "timedelta"
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    "ReduceOp",
    "group"
  ],
  "torch.distributed.nn.functional": [
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    "ReduceOp",
    "group"
  ],
  "torch.distributed.nn.jit.instantiator": [
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    "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"
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  "torch.distributed.pipeline.sync.skip.tracker": [
    "SkipTracker",
    "SkipTrackerThroughPotals",
    "ThreadLocal",
    "current_skip_tracker",
    "use_skip_tracker"
  ],
  "torch.distributed.remote_device": [
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    "Union"
  ],
  "torch.distributed.rendezvous": [
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    "FileStore",
    "Iterable",
    "Optional",
    "PrefixStore",
    "Store",
    "TCPStore",
    "Tuple",
    "Union",
    "cast",
    "timedelta",
    "urlparse",
    "urlunparse"
  ],
  "torch.distributed.rpc": [],
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    "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.migrate_gradual_types.z3_types": [
    "D"
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  "torch.fx.experimental.unification.core": [
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    "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": [
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    "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": [
    "nested_tensor",
    "to_padded_tensor"
  ],
  "torch.nn.common_types": [
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    "Tensor",
    "Tuple",
    "TypeVar",
    "Union"
  ],
  "torch.nn.functional": [
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    "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_",
    "scaled_dot_product_attention",
    "selu_",
    "softplus",
    "softshrink",
    "threshold_"
  ],
  "torch.nn.init": [
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  "torch.nn.intrinsic.modules": [
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  ],
  "torch.nn.modules.linear": [
    "NonDynamicallyQuantizableLinear"
  ],
  "torch.nn.modules.rnn": [
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  "torch.nn.parallel": [
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  "torch.nn.parallel.comm": [
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  "torch.nn.parallel.parallel_apply": [
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    "autocast"
  ],
  "torch.nn.parallel.replicate": [
    "OrderedDict"
  ],
  "torch.nn.parallel.scatter_gather": [
    "is_namedtuple"
  ],
  "torch.nn.parameter": [
    "OrderedDict"
  ],
  "torch.nn.utils.rnn": [
    "bind",
    "PackedSequence_"
  ],
  "torch.nn.utils.convert_parameters": [
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    "Optional"
  ],
  "torch.onnx": [
    "Dict",
    "OperatorExportTypes",
    "Optional",
    "TensorProtoDataType",
    "TrainingMode"
  ],
  "torch.overrides": [
    "BaseTorchFunctionMode",
    "TorchFunctionMode",
    "TorchFunctionModeMeta",
    "enable_torch_function_mode",
    "get_default_nowrap_functions",
    "has_torch_function"
  ],
  "torch.package.analyze.is_from_package": [
    "Any",
    "ModuleType",
    "is_mangled"
  ],
  "torch.package.find_file_dependencies": [
    "List",
    "Optional",
    "Tuple"
  ],
  "torch.package.glob_group": [
    "GlobPattern",
    "Iterable",
    "Union"
  ],
  "torch.profiler": [
    "DeviceType",
    "ProfilerActivity",
    "kineto_available",
    "record_function"
  ],
  "torch.quantization": [
    "ABC",
    "DeQuantStub",
    "FakeQuantize",
    "FakeQuantizeBase",
    "FixedQParamsFakeQuantize",
    "FusedMovingAvgObsFakeQuantize",
    "HistogramObserver",
    "MinMaxObserver",
    "MovingAverageMinMaxObserver",
    "MovingAveragePerChannelMinMaxObserver",
    "NoopObserver",
    "ObserverBase",
    "PerChannelMinMaxObserver",
    "PlaceholderObserver",
    "QConfig",
    "QConfigAny",
    "QConfigDynamic",
    "QuantStub",
    "QuantType",
    "QuantWrapper",
    "RecordingObserver",
    "_add_module_to_qconfig_obs_ctr",
    "add_quant_dequant",
    "_assert_valid_qconfig",
    "convert",
    "convert_dynamic_jit",
    "convert_jit",
    "default_fixed_qparams_range_0to1_fake_quant",
    "default_affine_fixed_qparams_fake_quant",
    "default_debug_observer",
    "default_dynamic_quant_observer",
    "default_fake_quant",
    "default_float_qparams_observer",
    "default_fused_act_fake_quant",
    "default_fused_per_channel_wt_fake_quant",
    "default_fused_wt_fake_quant",
    "default_histogram_fake_quant",
    "default_histogram_observer",
    "default_observer",
    "default_per_channel_weight_fake_quant",
    "default_per_channel_weight_observer",
    "default_placeholder_observer",
    "default_fixed_qparams_range_neg1to1_fake_quant",
    "default_symmetric_fixed_qparams_fake_quant",
    "default_weight_fake_quant",
    "default_weight_observer",
    "disable_fake_quant",
    "disable_observer",
    "enable_fake_quant",
    "enable_observer",
    "fuse_conv_bn",
    "fuse_conv_bn_jit",
    "fuse_conv_bn_relu",
    "fuse_linear_bn",
    "fuse_modules",
    "get_default_compare_output_module_list",
    "get_default_dynamic_quant_module_mappings",
    "get_default_float_to_quantized_operator_mappings",
    "get_default_qat_module_mappings",
    "get_default_qat_qconfig",
    "get_default_qconfig",
    "get_default_qconfig_propagation_list",
    "get_default_static_quant_module_mappings",
    "get_dynamic_quant_module_class",
    "get_fuser_method",
    "get_observer_state_dict",
    "get_quantized_operator",
    "get_static_quant_module_class",
    "load_observer_state_dict",
    "no_observer_set",
    "prepare",
    "prepare_dynamic_jit",
    "prepare_jit",
    "prepare_qat",
    "propagate_qconfig_",
    "qconfig_equals",
    "_get_quant_type_to_str",
    "quantize",
    "quantize_dynamic",
    "quantize_dynamic_jit",
    "quantize_jit",
    "quantize_qat",
    "script_qconfig",
    "script_qconfig_dict",
    "swap_module"
  ],
  "torch.quantization.fake_quantize": [
    "FakeQuantize",
    "FakeQuantizeBase",
    "FixedQParamsFakeQuantize",
    "FusedMovingAvgObsFakeQuantize",
    "default_fixed_qparams_range_0to1_fake_quant",
    "default_affine_fixed_qparams_fake_quant",
    "default_fake_quant",
    "default_fused_act_fake_quant",
    "default_fused_per_channel_wt_fake_quant",
    "default_fused_wt_fake_quant",
    "default_histogram_fake_quant",
    "default_per_channel_weight_fake_quant",
    "default_fixed_qparams_range_neg1to1_fake_quant",
    "default_symmetric_fixed_qparams_fake_quant",
    "default_weight_fake_quant",
    "disable_fake_quant",
    "disable_observer",
    "enable_fake_quant",
    "enable_observer"
  ],
  "torch.quantization.fuse_modules": [
    "fuse_conv_bn",
    "fuse_conv_bn_relu",
    "fuse_known_modules",
    "fuse_modules",
    "get_fuser_method"
  ],
  "torch.quantization.fuser_method_mappings": [
    "fuse_conv_bn",
    "fuse_conv_bn_relu",
    "fuse_linear_bn",
    "get_fuser_method"
  ],
  "torch.quantization.observer": [
    "ABC",
    "HistogramObserver",
    "MinMaxObserver",
    "MovingAverageMinMaxObserver",
    "MovingAveragePerChannelMinMaxObserver",
    "NoopObserver",
    "ObserverBase",
    "PerChannelMinMaxObserver",
    "PlaceholderObserver",
    "RecordingObserver",
    "default_debug_observer",
    "default_dynamic_quant_observer",
    "default_float_qparams_observer",
    "default_histogram_observer",
    "default_observer",
    "default_per_channel_weight_observer",
    "default_placeholder_observer",
    "default_weight_observer",
    "get_observer_state_dict",
    "load_observer_state_dict"
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    "get_default_dynamic_quant_module_mappings",
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    "get_native_backend_config",
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    "QuantizationAnnotation"
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    "RendezvousParameters"
  ],
  "torch.distributed.logging_handlers": [
    "C10D_CATEGORY",
    "Dict",
    "LogCategory",
    "Optional",
    "Sample",
    "ScubaData",
    "signpost",
    "SignpostType"
  ],
  "torch.utils.benchmark.examples.sparse.op_benchmark": [
    "BinaryOpSparseFuzzer",
    "Timer",
    "UnaryOpSparseFuzzer"
  ],
  "torch.version": [
    "get_file_path"
  ]
}