nv_wavenet_util.cuh

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#ifndef __DEEPVOICE_UTIL_H__
#define __DEEPVOICE_UTIL_H__

#include <stdio.h>
#include "cuda_occupancy.h"

#define gpuErrChk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort=true) {
    if (code != cudaSuccess) {
        fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
        if (abort) exit(code);
    }
}

int getOccupancy(int deviceId, size_t blockSize, void* func) {
    cudaDeviceProp prop;
    gpuErrChk ( cudaGetDeviceProperties(&prop, 0) );
    cudaOccDeviceProp occProp = prop;

    cudaFuncAttributes attr;
    gpuErrChk ( cudaFuncGetAttributes(&attr, func) );
    cudaOccFuncAttributes occAttr = attr;

    cudaOccDeviceState occState;

    cudaOccResult result;
    cudaOccMaxActiveBlocksPerMultiprocessor(&result, &occProp, &occAttr, &occState, blockSize, 0);

    return result.activeBlocksPerMultiprocessor;

}

__device__ __forceinline__ float loadVolatile(const volatile float* y, int index) {
    return y[index];
}
__device__ __forceinline__ void storeVolatile(volatile float* y, int index, float val) {
    y[index] = val;
}

__forceinline__ __device__ float sigmoid(float in) {
    float ans = 1.f / (1.f + expf(-in));
    return ans;
}

__forceinline__ __device__ float _tanh(float in) {
    float ans = tanhf(in);
    return ans;
}

__device__ __forceinline__ float relu(float f) { return (f < 0.f) ? 0.f : f; }

#endif