float4 a, b, result; // 假设a和b是已经初始化的float4向量。 result = a b; 这将对a和b中的对应元素进行乘法运算,将结果存储到result中。 另外,如果要进行点乘(dot product)或叉乘(cross product)等特定类型的向量乘法,可以使用CUDA提供的内置函数来实现。例如,要计算两个float4向量的点乘,可以使用内置函...
x-c.x)); wc = 1 - wa - wb; } struct VerticeData { float4 position; float4 color; }; void __device__ VertexShader(VerticeData& position, const VerticeData& vertice) { position.position = vertice.position; position.color = vertice.color; } uchar4 __device__ FragmentShader(float4 ...
char1, uchar1, short1, ushort1, int1, uint1, long1, ulong1, float1 char2, uchar2, short2, ushort2, int2, uint2, long2, ulong2, float2 char3, uchar3, short3, ushort3, int3, uint3, long3, ulong3, float3 char4, uchar4, short4, ushort4, int4, uint4, long4, ulong4,...
线程1-3从全局寄存器读取相同的值0的次数不同(t分别为0,2,2)。它们都增加1,并在t= 4,7和8时写回全局内存。线程4开始的时间比其他线程稍晚,在t=5时。此时,线程1已经写入全局内存,因此线程4读取的值为1。它最终会在t=12时将全局变量改写为2。 从同一个全局内存中读写的多个线程的情况示意图,也就是说...
x_cpu = np.random.rand(size).astype(np.float32)# 将稀疏矩阵和向量从 CPU 传输到 GPUA_gpu = cp.sparse.csr_matrix(A_cpu) x_gpu = cp.asarray(x_cpu)# 执行稀疏矩阵向量乘法y_gpu = A_gpu.dot(x_gpu)# 将结果从 GPU 复制到 CPU 并转换为 NumPy 数组y_cpu = cp.asnumpy(y_gpu)# 打...
Float channel format cudaChannelFormatKindNone = 3 No channel format cudaChannelFormatKindNV12 = 4 Unsigned 8-bit integers, planar 4:2:0 YUV format cudaChannelFormatKindUnsignedNormalized8X1 = 5 1 channel unsigned 8-bit normalized integer cudaChannelFormatKindUnsignedNormalized8X2 = 6 2 chan...
dot(a, b) # Advance the ptrs to the next K block. a_ptrs += BLOCK_SIZE_K * stride_ak b_ptrs += BLOCK_SIZE_K * stride_bk # 当累加器仍然是FP32时,可以融合任意激活函数 if ACTIVATION == "leaky_relu": accumulator = leaky_relu(accumulator) c = accumulator.to(tl.float16) # ---...
__global__ void dot( float *a, float *b, float *c ) { __shared__ float cache[threadsPerBlock]; int tid = threadIdx.x + blockIdx.x * blockDim.x; int cacheIndex = threadIdx.x; float temp = 0; while (tid < N) { temp += a[tid] * b[...
CU_AD_FORMAT_FLOAT = 0x20 32-bit floating point CU_AD_FORMAT_NV12 = 0xb0 8-bit YUV planar format, with 4:2:0 sampling CU_AD_FORMAT_UNORM_INT8X1 = 0xc0 1 channel unsigned 8-bit normalized integer CU_AD_FORMAT_UNORM_INT8X2 = 0xc1 2 channel unsigned 8-bit normalized integer...
(volatileFLOAT*sdata,inttid){sdata[tid]+=sdata[tid+32];sdata[tid]+=sdata[tid+16];sdata[tid]+=sdata[tid+8];sdata[tid]+=sdata[tid+4];sdata[tid]+=sdata[tid+2];sdata[tid]+=sdata[tid+1];}//第一阶段代码:求出部分内积,每个块得到一个结果写进全局内存/* partial dot product...