#include #include #include #include #include #include #include #ifdef WITH_CUDNN #include "cudnn/Module.h" #endif #include "TensorDocstrings.h" #define WITH_NUMPY_IMPORT_ARRAY #include "THP.h" PyObject* module; PyObject* tensor_classes; PyObject *THPDefaultTensorClass = NULL; THPGenerator *THPDefaultGenerator = NULL; static bool THPModule_loadClasses(PyObject *self) { #define ASSERT_NOT_NULL(ptr) if (!(ptr)) { THPUtils_setError("couldn't load classes"); return false; } PyObject *torch_module = PyImport_ImportModule("torch"); if (!torch_module) { THPUtils_setError("class loader couldn't access torch module"); return false; } PyObject* module_dict = PyModule_GetDict(torch_module); ASSERT_NOT_NULL(tensor_classes = PyMapping_GetItemString(module_dict, (char*)"_tensor_classes")); ASSERT_NOT_NULL(THPDoubleStorageClass = PyMapping_GetItemString(module_dict,(char*)"DoubleStorage")); ASSERT_NOT_NULL(THPFloatStorageClass = PyMapping_GetItemString(module_dict,(char*)"FloatStorage")); ASSERT_NOT_NULL(THPLongStorageClass = PyMapping_GetItemString(module_dict,(char*)"LongStorage")); ASSERT_NOT_NULL(THPIntStorageClass = PyMapping_GetItemString(module_dict,(char*)"IntStorage")); ASSERT_NOT_NULL(THPShortStorageClass = PyMapping_GetItemString(module_dict,(char*)"ShortStorage")); ASSERT_NOT_NULL(THPCharStorageClass = PyMapping_GetItemString(module_dict,(char*)"CharStorage")); ASSERT_NOT_NULL(THPByteStorageClass = PyMapping_GetItemString(module_dict,(char*)"ByteStorage")); ASSERT_NOT_NULL(THPDoubleTensorClass = PyMapping_GetItemString(module_dict,(char*)"DoubleTensor")); ASSERT_NOT_NULL(THPFloatTensorClass = PyMapping_GetItemString(module_dict,(char*)"FloatTensor")); ASSERT_NOT_NULL(THPLongTensorClass = PyMapping_GetItemString(module_dict,(char*)"LongTensor")); ASSERT_NOT_NULL(THPIntTensorClass = PyMapping_GetItemString(module_dict,(char*)"IntTensor")); ASSERT_NOT_NULL(THPShortTensorClass = PyMapping_GetItemString(module_dict,(char*)"ShortTensor")); ASSERT_NOT_NULL(THPCharTensorClass = PyMapping_GetItemString(module_dict,(char*)"CharTensor")); ASSERT_NOT_NULL(THPByteTensorClass = PyMapping_GetItemString(module_dict,(char*)"ByteTensor")); return true; #undef ASSERT_NOT_NULL } //////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////// static bool THPModule_assignStateless(PyObject *self) { #define INIT_STATELESS(type) \ stateless = PyObject_Call((PyObject*)&TH_CONCAT_2(type, TensorStatelessType), arg, NULL); \ if (!stateless) { \ THPUtils_setError("stateless method initialization error"); \ return false; \ } \ if (PyObject_SetAttrString(TH_CONCAT_3(THP,type,TensorClass), THP_STATELESS_ATTRIBUTE_NAME, stateless) == -1) { \ THPUtils_setError("stateless method initialization error (on assignment)");\ } PyObject *arg = PyTuple_New(0); PyObject *stateless; INIT_STATELESS(Double); INIT_STATELESS(Float); INIT_STATELESS(Long); INIT_STATELESS(Int); INIT_STATELESS(Short); INIT_STATELESS(Char); INIT_STATELESS(Byte); Py_DECREF(arg); return true; #undef INIT_STATELESS } // Callback for python part. Used for additional initialization of python classes static PyObject * THPModule_initExtension(PyObject *self, PyObject *shm_manager_path) { if (!THPUtils_checkBytes(shm_manager_path)) { THPUtils_setError("initialization error - expected bytes/string object as shm_manager_path!"); return NULL; } libshm_init(THPUtils_bytesAsString(shm_manager_path)); if (!THPModule_loadClasses(self)) return NULL; if (!THPModule_assignStateless(self)) return NULL; return PyBool_FromLong(true); } static PyObject * THPModule_getNumThreads(PyObject *module) { return PyLong_FromLong(THGetNumThreads()); } static PyObject * THPModule_setNumThreads(PyObject *module, PyObject *arg) { THPUtils_assert(THPUtils_checkLong(arg), "set_num_threads expects an int, " "but got %s", THPUtils_typename(arg)); THSetNumThreads((int)THPUtils_unpackLong(arg)); Py_RETURN_NONE; } bool THPModule_isTensor(PyObject *obj) { int result = PySet_Contains(tensor_classes, (PyObject*)Py_TYPE(obj)); if (result == -1) throw std::logic_error("FATAL: tensor_classes isn't a set!"); return result; } PyObject * THPModule_setDefaultTensorType(PyObject *_unused, PyObject *type) { THPDefaultTensorClass = type; Py_RETURN_NONE; } PyObject * THPModule_fromNumpy(PyObject *_unused, PyObject *array) { #ifndef WITH_NUMPY THPUtils_setError("torch was compiled without numpy support"); return NULL; #else THPUtils_assert(PyArray_Check(array), "from_numpy expects an np.ndarray " "but got %s", THPUtils_typename(array)); int type = PyArray_TYPE((PyArrayObject*)array); if (type == NPY_DOUBLE) { return PyObject_CallFunctionObjArgs(THPDoubleTensorClass, array, NULL); } else if (type == NPY_FLOAT) { return PyObject_CallFunctionObjArgs(THPFloatTensorClass, array, NULL); } else if (type == NPY_INT64) { return PyObject_CallFunctionObjArgs(THPLongTensorClass, array, NULL); } else if (type == NPY_INT32) { return PyObject_CallFunctionObjArgs(THPIntTensorClass, array, NULL); } else if (type == NPY_UINT8) { return PyObject_CallFunctionObjArgs(THPByteTensorClass, array, NULL); } THPUtils_setError("can't convert a given np.ndarray to a tensor - it has an " "invalid type. The only supported types are: double, float, int64, " "int32, and uint8."); return NULL; #endif } #define IMPLEMENT_STATELESS(name) \ static PyObject * TH_CONCAT_2(THPModule_, name)(PyObject *_unused, PyObject *args, PyObject *kwargs) \ { \ PyObject *tensor = THPDefaultTensorClass; \ PyObject *key, *value; \ Py_ssize_t pos = 0; \ for (int i = 0; i < PyTuple_Size(args); i++) { \ PyObject *item = PyTuple_GET_ITEM(args, i); \ if (THPModule_isTensor(item) || THPVariable_Check(item)) { \ tensor = item; \ goto dispatch; \ } \ } \ if (kwargs) { \ while (PyDict_Next(kwargs, &pos, &key, &value)) { \ if (THPModule_isTensor(value) || THPVariable_Check(value)) { \ tensor = value; \ goto dispatch; \ } \ } \ } \ \ dispatch: \ THPObjectPtr methods = PyObject_GetAttrString(tensor, THP_STATELESS_ATTRIBUTE_NAME); \ THPUtils_assert(methods, "Type %s doesn't implement stateless methods", \ tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); \ THPObjectPtr method = PyObject_GetAttrString(methods, #name); \ THPUtils_assert(method, "Type %s doesn't implement stateless method " #name, \ tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); \ return PyObject_Call(method, args, kwargs); \ } IMPLEMENT_STATELESS(sigmoid) IMPLEMENT_STATELESS(log) IMPLEMENT_STATELESS(log1p) IMPLEMENT_STATELESS(exp) IMPLEMENT_STATELESS(cos) IMPLEMENT_STATELESS(acos) IMPLEMENT_STATELESS(cosh) IMPLEMENT_STATELESS(sin) IMPLEMENT_STATELESS(asin) IMPLEMENT_STATELESS(sinh) IMPLEMENT_STATELESS(tan) IMPLEMENT_STATELESS(atan) IMPLEMENT_STATELESS(tanh) IMPLEMENT_STATELESS(sqrt) IMPLEMENT_STATELESS(rsqrt) IMPLEMENT_STATELESS(ceil) IMPLEMENT_STATELESS(floor) IMPLEMENT_STATELESS(round) IMPLEMENT_STATELESS(abs) IMPLEMENT_STATELESS(trunc) IMPLEMENT_STATELESS(frac) IMPLEMENT_STATELESS(mean) IMPLEMENT_STATELESS(std) IMPLEMENT_STATELESS(var) IMPLEMENT_STATELESS(norm) IMPLEMENT_STATELESS(cinv) IMPLEMENT_STATELESS(neg) IMPLEMENT_STATELESS(add) IMPLEMENT_STATELESS(csub) IMPLEMENT_STATELESS(mul) IMPLEMENT_STATELESS(div) IMPLEMENT_STATELESS(fmod) IMPLEMENT_STATELESS(cmul) IMPLEMENT_STATELESS(cdiv) IMPLEMENT_STATELESS(cfmod) IMPLEMENT_STATELESS(min) IMPLEMENT_STATELESS(max) IMPLEMENT_STATELESS(cmax) IMPLEMENT_STATELESS(cmin) IMPLEMENT_STATELESS(cpow) IMPLEMENT_STATELESS(dot) IMPLEMENT_STATELESS(sum) IMPLEMENT_STATELESS(prod) IMPLEMENT_STATELESS(remainder) IMPLEMENT_STATELESS(cremainder) IMPLEMENT_STATELESS(cumsum) IMPLEMENT_STATELESS(cumprod) IMPLEMENT_STATELESS(clamp) IMPLEMENT_STATELESS(equal) IMPLEMENT_STATELESS(eye) IMPLEMENT_STATELESS(fill) IMPLEMENT_STATELESS(diag) IMPLEMENT_STATELESS(numel) IMPLEMENT_STATELESS(sign) IMPLEMENT_STATELESS(trace) IMPLEMENT_STATELESS(tril) IMPLEMENT_STATELESS(triu) IMPLEMENT_STATELESS(zero) IMPLEMENT_STATELESS(kthvalue) IMPLEMENT_STATELESS(mode) IMPLEMENT_STATELESS(median) IMPLEMENT_STATELESS(cross) IMPLEMENT_STATELESS(sort) IMPLEMENT_STATELESS(topk) IMPLEMENT_STATELESS(t) IMPLEMENT_STATELESS(transpose) IMPLEMENT_STATELESS(squeeze) IMPLEMENT_STATELESS(renorm) IMPLEMENT_STATELESS(dist) IMPLEMENT_STATELESS(linspace) IMPLEMENT_STATELESS(logspace) IMPLEMENT_STATELESS(histc) IMPLEMENT_STATELESS(atan2) IMPLEMENT_STATELESS(pow) IMPLEMENT_STATELESS(lerp) IMPLEMENT_STATELESS(reshape) IMPLEMENT_STATELESS(zeros) IMPLEMENT_STATELESS(ones) IMPLEMENT_STATELESS(index_select) IMPLEMENT_STATELESS(addmm) IMPLEMENT_STATELESS(addmv) IMPLEMENT_STATELESS(addr) IMPLEMENT_STATELESS(ger) IMPLEMENT_STATELESS(mv) IMPLEMENT_STATELESS(addbmm) IMPLEMENT_STATELESS(baddbmm) IMPLEMENT_STATELESS(addcmul) IMPLEMENT_STATELESS(addcdiv) IMPLEMENT_STATELESS(mm) IMPLEMENT_STATELESS(bmm) // TODO: this doesn't implement options that return numbers! IMPLEMENT_STATELESS(multinomial) IMPLEMENT_STATELESS(uniform) IMPLEMENT_STATELESS(normal) IMPLEMENT_STATELESS(cauchy) IMPLEMENT_STATELESS(log_normal) IMPLEMENT_STATELESS(exponential) IMPLEMENT_STATELESS(random) IMPLEMENT_STATELESS(geometric) IMPLEMENT_STATELESS(bernoulli) IMPLEMENT_STATELESS(unfold) IMPLEMENT_STATELESS(range) IMPLEMENT_STATELESS(gather) IMPLEMENT_STATELESS(scatter) IMPLEMENT_STATELESS(rand) IMPLEMENT_STATELESS(randn) IMPLEMENT_STATELESS(all) IMPLEMENT_STATELESS(any) IMPLEMENT_STATELESS(masked_select) IMPLEMENT_STATELESS(gesv) IMPLEMENT_STATELESS(gels) IMPLEMENT_STATELESS(trtrs) IMPLEMENT_STATELESS(symeig) IMPLEMENT_STATELESS(eig) IMPLEMENT_STATELESS(svd) IMPLEMENT_STATELESS(inverse) IMPLEMENT_STATELESS(potrf) IMPLEMENT_STATELESS(potrs) IMPLEMENT_STATELESS(potri) IMPLEMENT_STATELESS(pstrf) IMPLEMENT_STATELESS(qr) IMPLEMENT_STATELESS(geqrf) IMPLEMENT_STATELESS(orgqr) IMPLEMENT_STATELESS(ormqr) #undef IMPLEMENT_STATELESS // For logical functions a reverse type search is required (if the first argument // is a ByteTensor (result), it shouldn't pick it's version). #define IMPLEMENT_STATELESS_REVERSED(name) \ static PyObject * TH_CONCAT_2(THPModule_, name)(PyObject *_unused, PyObject *args, PyObject *kwargs) \ { \ PyObject *tensor = THPDefaultTensorClass; \ PyObject *key, *value; \ Py_ssize_t pos = 0; \ for (int i = PyTuple_Size(args)-1; i >= 0; i--) { \ PyObject *item = PyTuple_GET_ITEM(args, i); \ if (THPModule_isTensor(item) || THPVariable_Check(item)) { \ tensor = item; \ goto dispatch; \ } \ } \ if (kwargs) { \ while (PyDict_Next(kwargs, &pos, &key, &value)) { \ if (THPModule_isTensor(value) || THPVariable_Check(value)) { \ tensor = value; \ goto dispatch; \ } \ } \ } \ \ dispatch: \ THPObjectPtr methods = PyObject_GetAttrString(tensor, THP_STATELESS_ATTRIBUTE_NAME); \ THPUtils_assert(methods, "Type %s doesn't implement stateless methods", \ tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); \ THPObjectPtr method = PyObject_GetAttrString(methods, #name); \ THPUtils_assert(method, "Type %s doesn't implement stateless method " #name, \ tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); \ return PyObject_Call(method, args, kwargs); \ } IMPLEMENT_STATELESS_REVERSED(gt) IMPLEMENT_STATELESS_REVERSED(lt) IMPLEMENT_STATELESS_REVERSED(ge) IMPLEMENT_STATELESS_REVERSED(le) IMPLEMENT_STATELESS_REVERSED(eq) IMPLEMENT_STATELESS_REVERSED(ne) #undef IMPLEMENT_STATELESS // In nonzero, the first argument might be a LongTensor that will be used // for indices output, so we should pick a function based on second // tensor's type. static PyObject * THPModule_nonzero(PyObject *_unused, PyObject *args) { PyObject *tensor = THPDefaultTensorClass; if (PyTuple_Size(args) == 1) tensor = PyTuple_GET_ITEM(args, 0); else if (PyTuple_Size(args) == 2) tensor = PyTuple_GET_ITEM(args, 1); THPObjectPtr methods = PyObject_GetAttrString(tensor, THP_STATELESS_ATTRIBUTE_NAME); THPUtils_assert(methods, "Type %s doesn't implement stateless methods", tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); THPObjectPtr method = PyObject_GetAttrString(methods, "nonzero"); THPUtils_assert(method, "Type %s doesn't implement stateless method nonzero", tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); return PyObject_Call(method, args, NULL); } static PyObject * THPModule_randperm(PyObject *_unused, PyObject *args) { PyObject *tensor = THPLongTensorClass; THPObjectPtr methods = PyObject_GetAttrString(tensor, THP_STATELESS_ATTRIBUTE_NAME); THPUtils_assert(methods, "Type %s doesn't implement stateless methods", tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); THPObjectPtr method = PyObject_GetAttrString(methods, "randperm"); THPUtils_assert(method, "Type %s doesn't implement stateless method randperm", tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); return PyObject_Call(method, args, NULL); } static PyObject * THPModule_cat(PyObject *_unused, PyObject *args) { PyObject *tensor = THPDefaultTensorClass; THPObjectPtr iterator; THPObjectPtr item; if (args && PyTuple_Size(args) > 0) { PyObject *first_arg = PyTuple_GET_ITEM(args, 0); if (THPModule_isTensor(first_arg)) { tensor = first_arg; } else if ((iterator = PyObject_GetIter(first_arg))) { item = PyIter_Next(iterator); if (item && (THPModule_isTensor(item) || THPVariable_Check(item))) { tensor = item; } } PyErr_Clear(); } THPObjectPtr methods = PyObject_GetAttrString(tensor, THP_STATELESS_ATTRIBUTE_NAME); THPUtils_assert(methods, "Type %s doesn't implement statless methods", tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); THPObjectPtr method = PyObject_GetAttrString(methods, "cat"); THPUtils_assert(method, "Type %s doesn't implement stateless method cat", tensor == THPDefaultTensorClass ? THPUtils_classname(tensor) : THPUtils_typename(tensor)); return PyObject_Call(method, args, NULL); } PyObject *THPModule_safeCall(PyObject *_unused, PyObject *args, PyObject *kwargs) { PyObject *result = NULL; PyObject *args_slice = NULL; PyThreadState *thread_state = PyThreadState_Get(); Py_ssize_t num_args = args ? PyTuple_Size(args) : 0; THPUtils_assert(num_args > 0, "expected at least one argument"); try { args_slice = PyTuple_GetSlice(args, 1, num_args); result = PyObject_Call(PyTuple_GET_ITEM(args, 0), args_slice, kwargs); } catch (std::exception &e) { PyEval_RestoreThread(thread_state); Py_DECREF(args_slice); PyErr_SetString(THPException_FatalError, e.what()); Py_LeaveRecursiveCall(); } Py_DECREF(args_slice); return result; } PyObject *THPModule_addDocStr(PyObject *_unused, PyObject *args) { // adds a __doc__ string to a function, similar to numpy's arr_add_docstring PyObject *obj; PyObject *doc; if (!PyArg_ParseTuple(args, "OO!", &obj, &THPUtils_stringType, &doc)) { return NULL; } if (Py_TYPE(obj) == &PyCFunction_Type) { PyCFunctionObject* f = (PyCFunctionObject *)obj; if (f->m_ml->ml_doc) { return PyErr_Format(PyExc_RuntimeError, "function '%s' already has a docstring", f->m_ml->ml_name); } f->m_ml->ml_doc = THPUtils_stringAsString(doc); Py_INCREF(doc); } else { return PyErr_Format(PyExc_TypeError, "don't know how to add docstring to type '%s'", Py_TYPE(obj)->tp_name); } Py_RETURN_NONE; } #ifdef WITH_CUDA extern PyObject * THCPModule_initExtension(PyObject *self); extern PyObject * THCPModule_setDevice_wrap(PyObject *self, PyObject *arg); extern PyObject * THCPModule_getDevice_wrap(PyObject *self); extern PyObject * THCPModule_getDeviceCount_wrap(PyObject *self); extern PyObject * THCPModule_getCurrentStream_wrap(PyObject *self); extern PyObject * THCPModule_setStream_wrap(PyObject *self, PyObject *stream); extern PyObject * THCPModule_getDriverVersion(PyObject *self); extern PyObject * THCPModule_isDriverSufficient(PyObject *self); extern PyObject * THCPModule_getRNGState(PyObject *_unused); extern PyObject * THCPModule_setRNGState(PyObject *_unused, PyObject *_new_rng_state); extern PyObject * THCPModule_manualSeed(PyObject *_unused, PyObject *seed); extern PyObject * THCPModule_manualSeedAll(PyObject *_unused, PyObject *seed); extern PyObject * THCPModule_seed(PyObject *_unused); extern PyObject * THCPModule_seedAll(PyObject *_unused); extern PyObject * THCPModule_initialSeed(PyObject *_unused); extern PyObject * THCPModule_cudaHostAllocator(PyObject *_unused); extern PyObject * THCPModule_cudaSynchronize(PyObject *_unused); extern PyObject * THCPModule_getLibPath(PyObject *_unused); extern PyObject * THCPModule_cudaSleep(PyObject *_unused, PyObject *cycles); #endif static PyMethodDef TorchMethods[] = { {"_initExtension", (PyCFunction)THPModule_initExtension, METH_O, NULL}, {"_autograd_init", (PyCFunction)THPAutograd_initExtension, METH_NOARGS, NULL}, {"_add_docstr", (PyCFunction)THPModule_addDocStr, METH_VARARGS, NULL}, #ifdef WITH_CUDA {"_cuda_init", (PyCFunction)THCPModule_initExtension, METH_NOARGS, NULL}, {"_cuda_setDevice", (PyCFunction)THCPModule_setDevice_wrap, METH_O, NULL}, {"_cuda_getDevice", (PyCFunction)THCPModule_getDevice_wrap, METH_NOARGS, NULL}, {"_cuda_getDeviceCount", (PyCFunction)THCPModule_getDeviceCount_wrap, METH_NOARGS, NULL}, {"_cuda_getCurrentStream", (PyCFunction)THCPModule_getCurrentStream_wrap, METH_NOARGS, NULL}, {"_cuda_setStream", (PyCFunction)THCPModule_setStream_wrap, METH_O, NULL}, {"_cuda_isDriverSufficient", (PyCFunction)THCPModule_isDriverSufficient, METH_NOARGS, NULL}, {"_cuda_getDriverVersion", (PyCFunction)THCPModule_getDriverVersion, METH_NOARGS, NULL}, {"_cuda_getRNGState", (PyCFunction)THCPModule_getRNGState, METH_NOARGS, NULL}, {"_cuda_setRNGState", (PyCFunction)THCPModule_setRNGState, METH_O, NULL}, {"_cuda_manualSeed", (PyCFunction)THCPModule_manualSeed, METH_O, NULL}, {"_cuda_manualSeedAll", (PyCFunction)THCPModule_manualSeedAll, METH_O, NULL}, {"_cuda_seed", (PyCFunction)THCPModule_seed, METH_NOARGS, NULL}, {"_cuda_seedAll", (PyCFunction)THCPModule_seedAll, METH_NOARGS, NULL}, {"_cuda_initialSeed", (PyCFunction)THCPModule_initialSeed, METH_NOARGS, NULL}, {"_cuda_cudaHostAllocator", (PyCFunction)THCPModule_cudaHostAllocator, METH_NOARGS, NULL}, {"_cuda_synchronize", (PyCFunction)THCPModule_cudaSynchronize, METH_NOARGS, NULL}, {"_cuda_getLibPath", (PyCFunction)THCPModule_getLibPath, METH_NOARGS, NULL}, {"_cuda_sleep", (PyCFunction)THCPModule_cudaSleep, METH_O, NULL}, #endif {"_safe_call", (PyCFunction)THPModule_safeCall, METH_VARARGS | METH_KEYWORDS, NULL}, {"_set_default_tensor_type", (PyCFunction)THPModule_setDefaultTensorType, METH_O, NULL}, {"get_num_threads", (PyCFunction)THPModule_getNumThreads, METH_NOARGS, NULL}, {"set_num_threads", (PyCFunction)THPModule_setNumThreads, METH_O, NULL}, {"from_numpy", (PyCFunction)THPModule_fromNumpy, METH_O, NULL}, {"sigmoid", (PyCFunction)THPModule_sigmoid, METH_VARARGS | METH_KEYWORDS, NULL}, {"log", (PyCFunction)THPModule_log, METH_VARARGS | METH_KEYWORDS, NULL}, {"log1p", (PyCFunction)THPModule_log1p, METH_VARARGS | METH_KEYWORDS, NULL}, {"exp", (PyCFunction)THPModule_exp, METH_VARARGS | METH_KEYWORDS, NULL}, {"cos", (PyCFunction)THPModule_cos, METH_VARARGS | METH_KEYWORDS, NULL}, {"acos", (PyCFunction)THPModule_acos, METH_VARARGS | METH_KEYWORDS, NULL}, {"cosh", (PyCFunction)THPModule_cosh, METH_VARARGS | METH_KEYWORDS, NULL}, {"sin", (PyCFunction)THPModule_sin, METH_VARARGS | METH_KEYWORDS, NULL}, {"asin", (PyCFunction)THPModule_asin, METH_VARARGS | METH_KEYWORDS, NULL}, {"sinh", (PyCFunction)THPModule_sinh, METH_VARARGS | METH_KEYWORDS, NULL}, {"tan", (PyCFunction)THPModule_tan, METH_VARARGS | METH_KEYWORDS, NULL}, {"atan", (PyCFunction)THPModule_atan, METH_VARARGS | METH_KEYWORDS, NULL}, {"tanh", (PyCFunction)THPModule_tanh, METH_VARARGS | METH_KEYWORDS, NULL}, {"sqrt", (PyCFunction)THPModule_sqrt, METH_VARARGS | METH_KEYWORDS, NULL}, {"rsqrt", (PyCFunction)THPModule_rsqrt, METH_VARARGS | METH_KEYWORDS, NULL}, {"ceil", (PyCFunction)THPModule_ceil, METH_VARARGS | METH_KEYWORDS, NULL}, {"floor", (PyCFunction)THPModule_floor, METH_VARARGS | METH_KEYWORDS, NULL}, {"round", (PyCFunction)THPModule_round, METH_VARARGS | METH_KEYWORDS, NULL}, {"abs", (PyCFunction)THPModule_abs, METH_VARARGS | METH_KEYWORDS, NULL}, {"trunc", (PyCFunction)THPModule_trunc, METH_VARARGS | METH_KEYWORDS, NULL}, {"frac", (PyCFunction)THPModule_frac, METH_VARARGS | METH_KEYWORDS, NULL}, {"mean", (PyCFunction)THPModule_mean, METH_VARARGS | METH_KEYWORDS, NULL}, {"std", (PyCFunction)THPModule_std, METH_VARARGS | METH_KEYWORDS, NULL}, {"var", (PyCFunction)THPModule_var, METH_VARARGS | METH_KEYWORDS, NULL}, {"norm", (PyCFunction)THPModule_norm, METH_VARARGS | METH_KEYWORDS, NULL}, {"cinv", (PyCFunction)THPModule_cinv, METH_VARARGS | METH_KEYWORDS, NULL}, {"neg", (PyCFunction)THPModule_neg, METH_VARARGS | METH_KEYWORDS, NULL}, {"add", (PyCFunction)THPModule_add, METH_VARARGS | METH_KEYWORDS, NULL}, {"csub", (PyCFunction)THPModule_csub, METH_VARARGS | METH_KEYWORDS, NULL}, {"mul", (PyCFunction)THPModule_mul, METH_VARARGS | METH_KEYWORDS, NULL}, {"div", (PyCFunction)THPModule_div, METH_VARARGS | METH_KEYWORDS, NULL}, {"fmod", (PyCFunction)THPModule_fmod, METH_VARARGS | METH_KEYWORDS, NULL}, {"mod", (PyCFunction)THPModule_fmod, METH_VARARGS | METH_KEYWORDS, NULL}, {"cmul", (PyCFunction)THPModule_cmul, METH_VARARGS | METH_KEYWORDS, NULL}, {"cdiv", (PyCFunction)THPModule_cdiv, METH_VARARGS | METH_KEYWORDS, NULL}, {"cfmod", (PyCFunction)THPModule_cfmod, METH_VARARGS | METH_KEYWORDS, NULL}, {"cmod", (PyCFunction)THPModule_cfmod, METH_VARARGS | METH_KEYWORDS, NULL}, {"min", (PyCFunction)THPModule_min, METH_VARARGS | METH_KEYWORDS, NULL}, {"max", (PyCFunction)THPModule_max, METH_VARARGS | METH_KEYWORDS, NULL}, {"cmax", (PyCFunction)THPModule_cmax, METH_VARARGS | METH_KEYWORDS, NULL}, {"cmin", (PyCFunction)THPModule_cmin, METH_VARARGS | METH_KEYWORDS, NULL}, {"cpow", (PyCFunction)THPModule_cpow, METH_VARARGS | METH_KEYWORDS, NULL}, {"dot", (PyCFunction)THPModule_dot, METH_VARARGS | METH_KEYWORDS, NULL}, {"sum", (PyCFunction)THPModule_sum, METH_VARARGS | METH_KEYWORDS, NULL}, {"prod", (PyCFunction)THPModule_prod, METH_VARARGS | METH_KEYWORDS, NULL}, {"remainder", (PyCFunction)THPModule_remainder, METH_VARARGS | METH_KEYWORDS, NULL}, {"cremainder", (PyCFunction)THPModule_cremainder, METH_VARARGS | METH_KEYWORDS, NULL}, {"cumsum", (PyCFunction)THPModule_cumsum, METH_VARARGS | METH_KEYWORDS, NULL}, {"cumprod", (PyCFunction)THPModule_cumprod, METH_VARARGS | METH_KEYWORDS, NULL}, {"clamp", (PyCFunction)THPModule_clamp, METH_VARARGS | METH_KEYWORDS, NULL}, {"equal", (PyCFunction)THPModule_equal, METH_VARARGS | METH_KEYWORDS, NULL}, {"eye", (PyCFunction)THPModule_eye, METH_VARARGS | METH_KEYWORDS, NULL}, {"fill", (PyCFunction)THPModule_fill, METH_VARARGS | METH_KEYWORDS, NULL}, {"diag", (PyCFunction)THPModule_diag, METH_VARARGS | METH_KEYWORDS, NULL}, {"numel", (PyCFunction)THPModule_numel, METH_VARARGS | METH_KEYWORDS, NULL}, {"sign", (PyCFunction)THPModule_sign, METH_VARARGS | METH_KEYWORDS, NULL}, {"trace", (PyCFunction)THPModule_trace, METH_VARARGS | METH_KEYWORDS, NULL}, {"tril", (PyCFunction)THPModule_tril, METH_VARARGS | METH_KEYWORDS, NULL}, {"triu", (PyCFunction)THPModule_triu, METH_VARARGS | METH_KEYWORDS, NULL}, {"zero", (PyCFunction)THPModule_zero, METH_VARARGS | METH_KEYWORDS, NULL}, {"gt", (PyCFunction)THPModule_gt, METH_VARARGS | METH_KEYWORDS, NULL}, {"lt", (PyCFunction)THPModule_lt, METH_VARARGS | METH_KEYWORDS, NULL}, {"ge", (PyCFunction)THPModule_ge, METH_VARARGS | METH_KEYWORDS, NULL}, {"le", (PyCFunction)THPModule_le, METH_VARARGS | METH_KEYWORDS, NULL}, {"eq", (PyCFunction)THPModule_eq, METH_VARARGS | METH_KEYWORDS, NULL}, {"ne", (PyCFunction)THPModule_ne, METH_VARARGS | METH_KEYWORDS, NULL}, {"kthvalue", (PyCFunction)THPModule_kthvalue, METH_VARARGS | METH_KEYWORDS, NULL}, {"mode", (PyCFunction)THPModule_mode, METH_VARARGS | METH_KEYWORDS, NULL}, {"median", (PyCFunction)THPModule_median, METH_VARARGS | METH_KEYWORDS, NULL}, {"cross", (PyCFunction)THPModule_cross, METH_VARARGS | METH_KEYWORDS, NULL}, {"sort", (PyCFunction)THPModule_sort, METH_VARARGS | METH_KEYWORDS, NULL}, {"topk", (PyCFunction)THPModule_topk, METH_VARARGS | METH_KEYWORDS, NULL}, {"t", (PyCFunction)THPModule_t, METH_VARARGS | METH_KEYWORDS, NULL}, {"transpose", (PyCFunction)THPModule_transpose, METH_VARARGS | METH_KEYWORDS, NULL}, {"squeeze", (PyCFunction)THPModule_squeeze, METH_VARARGS | METH_KEYWORDS, NULL}, {"nonzero", (PyCFunction)THPModule_nonzero, METH_VARARGS, NULL}, {"renorm", (PyCFunction)THPModule_renorm, METH_VARARGS | METH_KEYWORDS, NULL}, {"dist", (PyCFunction)THPModule_dist, METH_VARARGS | METH_KEYWORDS, NULL}, {"linspace", (PyCFunction)THPModule_linspace, METH_VARARGS | METH_KEYWORDS, NULL}, {"logspace", (PyCFunction)THPModule_logspace, METH_VARARGS | METH_KEYWORDS, NULL}, {"histc", (PyCFunction)THPModule_histc, METH_VARARGS | METH_KEYWORDS, NULL}, {"atan2", (PyCFunction)THPModule_atan2, METH_VARARGS | METH_KEYWORDS, NULL}, {"pow", (PyCFunction)THPModule_pow, METH_VARARGS | METH_KEYWORDS, NULL}, {"lerp", (PyCFunction)THPModule_lerp, METH_VARARGS | METH_KEYWORDS, NULL}, {"reshape", (PyCFunction)THPModule_reshape, METH_VARARGS | METH_KEYWORDS, NULL}, {"zeros", (PyCFunction)THPModule_zeros, METH_VARARGS | METH_KEYWORDS, NULL}, {"ones", (PyCFunction)THPModule_ones, METH_VARARGS | METH_KEYWORDS, NULL}, {"index_select", (PyCFunction)THPModule_index_select, METH_VARARGS | METH_KEYWORDS, NULL}, {"addmm", (PyCFunction)THPModule_addmm, METH_VARARGS | METH_KEYWORDS, NULL}, {"addmv", (PyCFunction)THPModule_addmv, METH_VARARGS | METH_KEYWORDS, NULL}, {"addr", (PyCFunction)THPModule_addr, METH_VARARGS | METH_KEYWORDS, NULL}, {"ger", (PyCFunction)THPModule_ger, METH_VARARGS | METH_KEYWORDS, NULL}, {"mv", (PyCFunction)THPModule_mv, METH_VARARGS | METH_KEYWORDS, NULL}, {"addbmm", (PyCFunction)THPModule_addbmm, METH_VARARGS | METH_KEYWORDS, NULL}, {"baddbmm", (PyCFunction)THPModule_baddbmm, METH_VARARGS | METH_KEYWORDS, NULL}, {"addcmul", (PyCFunction)THPModule_addcmul, METH_VARARGS | METH_KEYWORDS, NULL}, {"addcdiv", (PyCFunction)THPModule_addcdiv, METH_VARARGS | METH_KEYWORDS, NULL}, {"mm", (PyCFunction)THPModule_mm, METH_VARARGS | METH_KEYWORDS, NULL}, {"bmm", (PyCFunction)THPModule_bmm, METH_VARARGS | METH_KEYWORDS, NULL}, {"multinomial", (PyCFunction)THPModule_multinomial, METH_VARARGS | METH_KEYWORDS, NULL}, {"uniform", (PyCFunction)THPModule_uniform, METH_VARARGS | METH_KEYWORDS, NULL}, {"normal", (PyCFunction)THPModule_normal, METH_VARARGS | METH_KEYWORDS, NULL}, {"cauchy", (PyCFunction)THPModule_cauchy, METH_VARARGS | METH_KEYWORDS, NULL}, {"log_normal", (PyCFunction)THPModule_log_normal, METH_VARARGS | METH_KEYWORDS, NULL}, {"exponential", (PyCFunction)THPModule_exponential, METH_VARARGS | METH_KEYWORDS, NULL}, {"random", (PyCFunction)THPModule_random, METH_VARARGS | METH_KEYWORDS, NULL}, {"geometric", (PyCFunction)THPModule_geometric, METH_VARARGS | METH_KEYWORDS, NULL}, {"bernoulli", (PyCFunction)THPModule_bernoulli, METH_VARARGS | METH_KEYWORDS, NULL}, {"rand", (PyCFunction)THPModule_rand, METH_VARARGS | METH_KEYWORDS, NULL}, {"randn", (PyCFunction)THPModule_randn, METH_VARARGS | METH_KEYWORDS, NULL}, {"randperm", (PyCFunction)THPModule_randperm, METH_VARARGS | METH_KEYWORDS, NULL}, {"unfold", (PyCFunction)THPModule_unfold, METH_VARARGS | METH_KEYWORDS, NULL}, {"range", (PyCFunction)THPModule_range, METH_VARARGS | METH_KEYWORDS, NULL}, {"gather", (PyCFunction)THPModule_gather, METH_VARARGS | METH_KEYWORDS, NULL}, {"scatter", (PyCFunction)THPModule_scatter, METH_VARARGS | METH_KEYWORDS, NULL}, {"all", (PyCFunction)THPModule_all, METH_VARARGS | METH_KEYWORDS, NULL}, {"any", (PyCFunction)THPModule_any, METH_VARARGS | METH_KEYWORDS, NULL}, {"cat", (PyCFunction)THPModule_cat, METH_VARARGS, NULL}, {"masked_select", (PyCFunction)THPModule_masked_select, METH_VARARGS | METH_KEYWORDS, NULL}, {"gesv", (PyCFunction)THPModule_gesv, METH_VARARGS | METH_KEYWORDS, NULL}, {"gels", (PyCFunction)THPModule_gels, METH_VARARGS | METH_KEYWORDS, NULL}, {"trtrs", (PyCFunction)THPModule_trtrs, METH_VARARGS | METH_KEYWORDS, NULL}, {"symeig", (PyCFunction)THPModule_symeig, METH_VARARGS | METH_KEYWORDS, NULL}, {"eig", (PyCFunction)THPModule_eig, METH_VARARGS | METH_KEYWORDS, NULL}, {"svd", (PyCFunction)THPModule_svd, METH_VARARGS | METH_KEYWORDS, NULL}, {"inverse", (PyCFunction)THPModule_inverse, METH_VARARGS | METH_KEYWORDS, NULL}, {"potrf", (PyCFunction)THPModule_potrf, METH_VARARGS | METH_KEYWORDS, NULL}, {"potrs", (PyCFunction)THPModule_potrs, METH_VARARGS | METH_KEYWORDS, NULL}, {"potri", (PyCFunction)THPModule_potri, METH_VARARGS | METH_KEYWORDS, NULL}, {"pstrf", (PyCFunction)THPModule_pstrf, METH_VARARGS | METH_KEYWORDS, NULL}, {"qr", (PyCFunction)THPModule_qr, METH_VARARGS | METH_KEYWORDS, NULL}, {"geqrf", (PyCFunction)THPModule_geqrf, METH_VARARGS | METH_KEYWORDS, NULL}, {"orgqr", (PyCFunction)THPModule_orgqr, METH_VARARGS | METH_KEYWORDS, NULL}, {"ormqr", (PyCFunction)THPModule_ormqr, METH_VARARGS | METH_KEYWORDS, NULL}, {NULL, NULL, 0, NULL} }; static void errorHandler(const char *msg, void *data) { throw THException(msg); } static void errorHandlerArg(int argNumber, const char *msg, void *data) { throw THArgException(msg, argNumber); } static void updateErrorHandlers() { THSetDefaultErrorHandler(errorHandler, NULL); THSetDefaultArgErrorHandler(errorHandlerArg, NULL); } bool THCPDoubleStorage_init(PyObject *module); bool THCPFloatStorage_init(PyObject *module); bool THCPHalfStorage_init(PyObject *module); bool THCPLongStorage_init(PyObject *module); bool THCPIntStorage_init(PyObject *module); bool THCPShortStorage_init(PyObject *module); bool THCPCharStorage_init(PyObject *module); bool THCPByteStorage_init(PyObject *module); bool THCPDoubleTensor_init(PyObject *module); bool THCPFloatTensor_init(PyObject *module); bool THCPHalfTensor_init(PyObject *module); bool THCPLongTensor_init(PyObject *module); bool THCPIntTensor_init(PyObject *module); bool THCPShortTensor_init(PyObject *module); bool THCPCharTensor_init(PyObject *module); bool THCPByteTensor_init(PyObject *module); bool THCPStream_init(PyObject *module); static std::vector methods; #if PY_MAJOR_VERSION == 2 PyMODINIT_FUNC init_C() #else PyMODINIT_FUNC PyInit__C() #endif { #if PY_MAJOR_VERSION == 2 #define ASSERT_TRUE(cmd) if (!(cmd)) {PyErr_SetString(PyExc_ImportError, "initialization error"); return;} #else #define ASSERT_TRUE(cmd) if (!(cmd)) return NULL #endif THPUtils_addPyMethodDefs(methods, TorchMethods); #ifdef WITH_CUDNN THPUtils_addPyMethodDefs(methods, THCUDNN_methods()); #endif #if PY_MAJOR_VERSION == 2 ASSERT_TRUE(module = Py_InitModule("torch._C", methods.data())); #else static struct PyModuleDef torchmodule = { PyModuleDef_HEAD_INIT, "torch._C", NULL, -1, methods.data() }; ASSERT_TRUE(module = PyModule_Create(&torchmodule)); #endif ASSERT_TRUE(THPGenerator_init(module)); ASSERT_TRUE(THPException_init(module)); ASSERT_TRUE(THPSize_init(module)); ASSERT_TRUE(THPVariable_initModule(module)); ASSERT_TRUE(THPFunction_initModule(module)); ASSERT_TRUE(THPEngine_initModule(module)); ASSERT_TRUE(THPDoubleStorage_init(module)); ASSERT_TRUE(THPFloatStorage_init(module)); ASSERT_TRUE(THPLongStorage_init(module)); ASSERT_TRUE(THPIntStorage_init(module)); ASSERT_TRUE(THPShortStorage_init(module)); ASSERT_TRUE(THPCharStorage_init(module)); ASSERT_TRUE(THPByteStorage_init(module)); ASSERT_TRUE(THPDoubleTensor_init(module)); ASSERT_TRUE(THPFloatTensor_init(module)); ASSERT_TRUE(THPLongTensor_init(module)); ASSERT_TRUE(THPIntTensor_init(module)); ASSERT_TRUE(THPShortTensor_init(module)); ASSERT_TRUE(THPCharTensor_init(module)); ASSERT_TRUE(THPByteTensor_init(module)); #ifdef WITH_CUDA // This will only initialise base classes and attach them to library namespace // They won't be ready for real usage until importing cuda module, that will // complete the process (but it defines Python classes before calling back into // C, so these lines have to execute first).. ASSERT_TRUE(THCPDoubleStorage_init(module)); ASSERT_TRUE(THCPFloatStorage_init(module)); ASSERT_TRUE(THCPHalfStorage_init(module)); ASSERT_TRUE(THCPLongStorage_init(module)); ASSERT_TRUE(THCPIntStorage_init(module)); ASSERT_TRUE(THCPShortStorage_init(module)); ASSERT_TRUE(THCPCharStorage_init(module)); ASSERT_TRUE(THCPByteStorage_init(module)); ASSERT_TRUE(THCPDoubleTensor_init(module)); ASSERT_TRUE(THCPFloatTensor_init(module)); ASSERT_TRUE(THCPHalfTensor_init(module)); ASSERT_TRUE(THCPLongTensor_init(module)); ASSERT_TRUE(THCPIntTensor_init(module)); ASSERT_TRUE(THCPShortTensor_init(module)); ASSERT_TRUE(THCPCharTensor_init(module)); ASSERT_TRUE(THCPByteTensor_init(module)); ASSERT_TRUE(THCPStream_init(module)); #endif #ifdef WITH_CUDNN ASSERT_TRUE(THCUDNNModule_initModule(module)); PyObject *has_cudnn = Py_True; #else PyObject *has_cudnn = Py_False; #endif Py_INCREF(has_cudnn); ASSERT_TRUE(PyModule_AddObject(module, "has_cudnn", has_cudnn) == 0); THPDefaultGenerator = (THPGenerator*)THPGenerator_New(); ASSERT_TRUE(THPDefaultGenerator != nullptr); ASSERT_TRUE(PyModule_AddObject(module, "default_generator", (PyObject*)THPDefaultGenerator) == 0); updateErrorHandlers(); #ifdef WITH_NUMPY import_array(); #endif #if PY_MAJOR_VERSION == 2 #else return module; #endif #undef ASSERT_TRUE }