| from torch.testing._internal.common_utils import run_tests |
| |
| import torch |
| import unittest |
| |
| class TestPublicBindings(unittest.TestCase): |
| def test_no_new_bindings(self): |
| """ |
| This test aims to stop the introduction of new JIT bindings into torch._C |
| whose names do not start with _. Such bindings are made available as |
| torch.XXX, which may not be desirable. |
| |
| If your change causes this test to fail, add your new binding to a relevant |
| submodule of torch._C, such as torch._C._jit (or other relevant submodule of |
| torch._C). If your binding really needs to be available as torch.XXX, add it |
| to torch._C and add it to the allowlist below. |
| |
| If you have removed a binding, remove it from the allowlist as well. |
| """ |
| # This allowlist contains every binding in torch._C that is copied into torch at |
| # the time of writing. It was generated with |
| # |
| # {elem for elem in dir(torch._C) if not elem.startswith("_")} |
| # |
| torch_C_allowlist = { |
| "AVG", |
| "AggregationType", |
| "AnyType", |
| "Argument", |
| "ArgumentSpec", |
| "BFloat16StorageBase", |
| "BenchmarkConfig", |
| "BenchmarkExecutionStats", |
| "Block", |
| "BoolStorageBase", |
| "BoolType", |
| "BufferDict", |
| "ByteStorageBase", |
| "CONV_BN_FUSION", |
| "CallStack", |
| "Capsule", |
| "CharStorageBase", |
| "ClassType", |
| "Code", |
| "CompilationUnit", |
| "CompleteArgumentSpec", |
| "ComplexDoubleStorageBase", |
| "ComplexFloatStorageBase", |
| "ComplexType", |
| "ConcreteModuleType", |
| "ConcreteModuleTypeBuilder", |
| "CudaBFloat16StorageBase", |
| "CudaBFloat16TensorBase", |
| "CudaBoolStorageBase", |
| "CudaBoolTensorBase", |
| "CudaByteStorageBase", |
| "CudaByteTensorBase", |
| "CudaCharStorageBase", |
| "CudaCharTensorBase", |
| "CudaComplexDoubleStorageBase", |
| "CudaComplexDoubleTensorBase", |
| "CudaComplexFloatStorageBase", |
| "CudaComplexFloatTensorBase", |
| "CudaDoubleStorageBase", |
| "CudaDoubleTensorBase", |
| "CudaFloatStorageBase", |
| "CudaFloatTensorBase", |
| "CudaHalfStorageBase", |
| "CudaHalfTensorBase", |
| "CudaIntStorageBase", |
| "CudaIntTensorBase", |
| "CudaLongStorageBase", |
| "CudaLongTensorBase", |
| "CudaShortStorageBase", |
| "CudaShortTensorBase", |
| "DeepCopyMemoTable", |
| "DeviceObjType", |
| "DictType", |
| "DisableTorchFunction", |
| "DoubleStorageBase", |
| "EnumType", |
| "ErrorReport", |
| "ExecutionPlan", |
| "FUSE_ADD_RELU", |
| "FatalError", |
| "FileCheck", |
| "FloatStorageBase", |
| "FloatType", |
| "FunctionSchema", |
| "Future", |
| "FutureType", |
| "Generator", |
| "Gradient", |
| "Graph", |
| "GraphExecutorState", |
| "HOIST_CONV_PACKED_PARAMS", |
| "HalfStorageBase", |
| "INSERT_FOLD_PREPACK_OPS", |
| "IODescriptor", |
| "InferredType", |
| "IntStorageBase", |
| "IntType", |
| "InterfaceType", |
| "JITException", |
| "ListType", |
| "LiteScriptModule", |
| "LockingLogger", |
| "LoggerBase", |
| "LongStorageBase", |
| "MobileOptimizerType", |
| "ModuleDict", |
| "Node", |
| "NoneType", |
| "NoopLogger", |
| "NumberType", |
| "OptionalType", |
| "ParameterDict", |
| "PyObjectType", |
| "PyTorchFileReader", |
| "PyTorchFileWriter", |
| "QInt32StorageBase", |
| "QInt8StorageBase", |
| "QUInt4x2StorageBase", |
| "QUInt8StorageBase", |
| "REMOVE_DROPOUT", |
| "RRefType", |
| "SUM", |
| "ScriptClass", |
| "ScriptClassFunction", |
| "ScriptFunction", |
| "ScriptMethod", |
| "ScriptModule", |
| "ScriptObject", |
| "ShortStorageBase", |
| "Size", |
| "StaticRuntime", |
| "Stream", |
| "StreamObjType", |
| "StringType", |
| "TensorType", |
| "ThroughputBenchmark", |
| "TracingState", |
| "TupleType", |
| "Type", |
| "Use", |
| "Value", |
| "autocast_decrement_nesting", |
| "autocast_increment_nesting", |
| "clear_autocast_cache", |
| "cpp", |
| "default_generator", |
| "device", |
| "dtype", |
| "finfo", |
| "fork", |
| "get_default_dtype", |
| "get_num_interop_threads", |
| "get_num_threads", |
| "has_cuda", |
| "has_cudnn", |
| "has_lapack", |
| "has_mkl", |
| "has_mkldnn", |
| "has_mlc", |
| "has_openmp", |
| "iinfo", |
| "import_ir_module", |
| "import_ir_module_from_buffer", |
| "init_num_threads", |
| "is_anomaly_enabled", |
| "is_autocast_enabled", |
| "is_grad_enabled", |
| "layout", |
| "memory_format", |
| "merge_type_from_type_comment", |
| "parse_ir", |
| "parse_schema", |
| "parse_type_comment", |
| "qscheme", |
| "set_anomaly_enabled", |
| "set_autocast_enabled", |
| "set_flush_denormal", |
| "set_num_interop_threads", |
| "set_num_threads", |
| "unify_type_list", |
| "wait", |
| } |
| torch_C_bindings = {elem for elem in dir(torch._C) if not elem.startswith("_")} |
| |
| # Check that both sets above have the same elements as each other. |
| self.assertSetEqual(torch_C_bindings.symmetric_difference(torch_C_bindings), set()) |
| |
| |
| if __name__ == '__main__': |
| run_tests() |
