函数: cufftResultcufftDestroy(cufftHandle plan); 功能: 用于销毁FFT计划句柄(handle)并释放相关资源 输入参数: plan: FFT 计划句柄,即要销毁的FFT计划的句柄。 输出参数: 无 返回值: CUFFT_SUCCESS: 成功创建FFT计划 CUFFT_INVALID_PLAN: 句柄无效
typedef enum cufftResult_t { CUFFT_SUCCESS = 0, // The cuFFT operation was successful CUFFT_INVALID_PLAN = 1, // cuFFT was passed an invalid plan handle CUFFT_ALLOC_FAILED = 2, // cuFFT failed to allocate GPU or CPU memory CUFFT_INVALID_TYPE = 3, // No longer used CUFFT_INVALID_...
plan[In] –Pointer to a cufftHandle object plan[Out] –Contains a cuFFT plan handle value Return values CUFFT_SUCCESS –cuFFTMp successfully created the FFT plan CUFFT_ALLOC_FAILED –The allocation of resources for the plan failed CUFFT_INVALID_VALUE –One or more invalid parameters were passed...
=cufftPlan1d(&plan1d, n, CUFFT_Z2Z,1);// ignoring full error checking for readabilityif(result == CUFFT_INVALID_DEVICE){ std::cout <<"Invalid Device Error\n";exit(1); }// Executing FFTcufftExecZ2Z(plan1d, d_a, d_a, CUFFT_FORWARD);//Executing the iFFTcufftExecZ2Z(plan1d, ...
cufftGetSize1d中的CUFFT_INVALID_VALUE 、、 使用cufftGetSize1d (或任何cufftGetSize*)函数的正确方式是什么?plan;cufftResult result;result = cufftGetSize1d(plan, 1000, CUFFT_C2C, 1, &workSize); 但是,无论大小、类型或我使用的批处理如何,最后一次调用的结果都是CUFFT_IN 浏览1提问于2014-10-06得票...
{ case CUFFT_SUCCESS: return "CUFFT_SUCCESS"; case CUFFT_INVALID_PLAN: return "CUFFT_INVALID_PLAN"; case CUFFT_ALLOC_FAILED: return "CUFFT_ALLOC_FAILED"; case CUFFT_INVALID_TYPE: return "CUFFT_INVALID_TYPE"; case CUFFT_INVALID_VALUE: return "CUFFT_INVALID_VALUE"; case CUFFT_INTERNAL_ERROR...
CUFFT_INVALID_DEVICE HIPFFT_INVALID_DEVICE CUFFT_INVALID_PLAN HIPFFT_INVALID_PLAN CUFFT_INVALID_SIZE HIPFFT_INVALID_SIZE CUFFT_INVALID_TYPE HIPFFT_INVALID_TYPE CUFFT_INVALID_VALUE HIPFFT_INVALID_VALUE CUFFT_INVERSE HIPFFT_BACKWARD CUFFT_LICENSE_ERROR CUFFT_NOT_IMPLEMENTED HIPFFT_NOT_IMPLE...
对于刚接触人工智能领域不久的我而言，装 CUDA 等一些跑模型需要用到的工具是一件痛苦的事，稍不注意就会导致版本依赖问题，最终可能会需要你把前面安装的东西都卸载掉并重新下载，故本文记录如何卸载 CUDA 使得卸载干净。
The possible return values are defined as follows: typedef enum cufftResult_t { CUFFT_SUCCESS = 0, ∕∕ The cuFFT operation was successful CUFFT_INVALID_PLAN = 1, ∕∕ cuFFT was passed an invalid plan handle CUFFT_ALLOC_FAILED = 2, ∕∕ cuFFT failed to allocate GPU or CPU memory CUFFT...
#ifdef _CUFFT_H_ // cuFFT API errors static const char *_cudaGetErrorEnum(cufftResult error) { switch (error) { case CUFFT_SUCCESS: return "CUFFT_SUCCESS"; case CUFFT_INVALID_PLAN: return "CUFFT_INVALID_PLAN"; case CUFFT_ALLOC_FAILED: return "CUFFT_ALLOC_FAILED"; case CUFFT_INVALID_TYP...