所以 CUDA 会默认将一个 warp 拆分为两个 half warp，每个 half warp 产生一次 memory transaction。即...
3 channel signed half-float block-compressed (BC6H compression) format cudaChannelFormatKindUnsignedBlockCompressed7 = 29 4 channel unsigned normalized block-compressed (BC7 compression) format cudaChannelFormatKindUnsignedBlockCompressed7SRGB = 30 4 channel unsigned normalized block-compressed (BC7 com...
CUDA 数组支持的 16 位浮点或 half 格式与 IEEE 754-2008 binary2 格式相同。 CUDA C++ 不支持匹配的数据类型,但提供了通过 unsigned short 类型与 32 位浮点格式相互转换的内在函数:__float2half_rn(float) 和__half2float(unsigned short)。 这些功能仅在设备代码中受支持。 例如,主机代码的等效函数可以在 ...
cudaMemcpyToSymbol(devData, &value, sizeof(float)); __device__ float* devPointer; float* ptr; cudaMalloc(&ptr, 256 * sizeof(float)); cudaMemcpyToSymbol(devPointer, &ptr, sizeof(ptr)); cudaGetSymbolAddress()用于检索指向为全局内存空间中声明的变量分配的内存的地址。 分配内存的大小是通过cud...
fp16x2activates fp16 mode, two half-floats are packed into a single 32-bit float, features_size becomes effectively 2 times bigger, the returned centroids are fp16x2 too. verbosity0 - no output; 1 - progress output; >=2 - debug output. ...
If 1 is passed for planeIdx, then the returned CUDA array has half the height and width of hArray with two 8-bit channels and cudaChannelFormatKindUnsigned as its format kind. Note: Note that this function may also return error codes from previous, asynchronous launches. See also: cu...
而从8-bit或者16-bit或者其他整数类型转换成float的时候, 吞吐率就只有16条/SM/周期了, 相当于在7.X上转换本身只有常规计算的1/4的性能. 甚至这点在8.6上更加糟糕, 因为8.6的双倍速的float运算, 导致如果你读取一个普通的8-bit或者16-bit整数(u)int8/16_t, 然后进行一次手工到float的转换, 相当于大约等...
std::is_same<To, half>::value>::type> { __device__ To operator()(half from) const { return static_cast<To>(static_cast<float>(from)); } __device__ void Apply2(To* to, const half* from) const { const float2 f2 = __half22float2(*reinterpret_cast<const half2*>(from)); ...
half data; __host__ __device__ myfloat16(); __host__ __device__ myfloat16(doubleval); __host__ __device__ operatorfloat()const; }; __host__ __device__ myfloat16 operator+(constmyfloat16 &lh,constmyfloat16 &rh); __host__ __device__ myfloat16 hsqrt(constmyfloat16 a);...
Documentation: Returns a tensor filled with random numbers from a uniform distribution on the [half-open] interval [0,1) import itertools import torch for device, dtype in itertools.product( ["cpu", "cuda"], [ torch.float16, torch.bfloat...