PyObject*mean=PyArray_Mean(reinterpret_cast<PyArrayObject*>(ret),0,NPY_NOTYPE,nullptr); 以上代码可得如下结果 当然我们还可以 index 我们返回的数组(这里我不是很确定有没有更好的办法,因为连续两次 reinterpret_cast 显得很奇怪) for(unsignedintx:{0,1,2}
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类型转换 类似C/C++中的static_cast<type> int_arr = np.array([1,2,3]) float_arr = int_arr.astype(np.float) print(int_arr.dtype) print(float_arr.dtype) ''' int32 float64 ''' 类似C/C++中的reinterpret_cast<type> arr = np.array([-1, 2], dtype=np.int8) print(arr) arr_view...
PyArray_Check(array)) { PyErr_SetString(PyExc_TypeError, "Input is not a NumPy array"); return; } PyArrayObject* arr = reinterpret_cast<PyArrayObject*>(array); int* data = static_cast<int*>(PyArray_DATA(arr)); npy_intp* dims = PyArray_DIMS(arr); int rows = dims[0...
uintptr_t ptr_address = static_cast<uintptr_t>(address); // 将地址转换为指针 void* ptr = reinterpret_cast<void*>(ptr_address); // 在这里进行对指针的处理 // ... int64_t start = GetTime(); FastMedia_GetJpeg(ptr, width, height, strideW); int64_t end = GetTime(); printf("c++...
castwill (unsafely) reinterpret an expression type.cython.cast(T,t)is equivalent to<T>t. The first attribute must be a type, the second is the expression to cast. Specifying the optional keyword argumenttypecheck=Truehas the semantics of<T?>t. ...
*ret = reinterpret_cast<mxnet::NDArray*>(ndoutputs[0]); } }); MXNET_REGISTER_API("_npi.average") .set_body([](runtime::MXNetArgs args, runtime::MXNetRetValue* ret) { using namespace runtime; const nnvm::Op* op = Op::Get("_npi_average"); op::NumpyWeightedAverageParam param...
get(), [](void* p) { std::unique_ptr<Sequence>(reinterpret_cast<Sequence*>(p)); }); seq_ptr.release(); return py::array(size, data, capsule); } std::vector<float> cumsum(const std::vector<float>& nums) { std::vector<float> result(nums.size()); float sum = 0; for (...
Ptr = reinterpret_cast<uint64_t>((Source->*Get)(Ptr >> 1)); Check warning on line 378 in interpreter/llvm-project/clang/include/clang/AST/ExternalASTSource.h GitHub Actions / fedora39 LLVM_ENABLE_ASSERTIONS=On, CMAKE_CXX_STANDARD=20 ‘this’ pointer is null [-Wnonnull] Check warn...
PyArray_Check(pReturnValue)) { throw std::runtime_error("Return value from Python is not a NumPy array."); } // 获取 NumPy 数组的指针和信息 PyArrayObject* pArray = reinterpret_cast<PyArrayObject*>(pReturnValue); void* data = PyArray_DATA(pArray); int ndims = PyArray_NDIM(pArray); ...