Instead, it simply returns a std::vector<std::optional<cudaStream_t>>, which is a vector of size equal to the number of messages on the input port. Each value in the vector corresponds to the cudaStream_t specified by the message (or std::nullopt if no stream ID is found). Note ...
高层工具(High-Level & Productive)包含libcu++提供 C++ 标准库扩展,如cuda::std::variant和cuda::std::optional,便于使用容器和抽象化的功能。以及Thrust提供 CPU/GPU 并行算法,用于快速开发高层算法和数据处理。 中间层工具(中等抽象层次)包含迭代器(Fancy Iterators)如cuda::std::span和cuda::std::mdspan,用于...
fir::ExtendedValue genSystem(std::optional<mlir::Type>, mlir::ArrayRef<fir::ExtendedValue> args); void genSystemClock(llvm::ArrayRef<fir::ExtendedValue>); @@ -401,6 +405,9 @@ struct IntrinsicLibrary { llvm::ArrayRef<fir::ExtendedValue>); fir::ExtendedValue genTranspose(mlir::Type, ll...
std::optional<bool> use_trt_causal_attention = std::nullopt; void SetTrtFusedKernel(bool causal, bool enable_trt_flash_attention, int sequence_length); void Print(const char* operator_name, const std::string& node_name, bool is_float16, bool is_bfloat16) const; }; class AttentionKernel...
// Print the result (optional) for (int i = 0; i < N; ++i) { for (int j = 0; j < N; ++j) { std::cout << C[i][j] << " "; } std::cout << std::endl; } return 0; } [参考链接] 1.紫气东来:CUDA(一):CUDA 编程基础 ...
(cuda-gdb) cuda thread (15) [Switching focus to CUDA kernel 1, grid 2, block (8,0,0), thread (15,0,0), device 0, sm 1, warp 0, lane 15] 374 int totalThreads = gridDim.x * blockDim.x; The parentheses for the block and thread arguments are optional. (cuda-gdb) cuda ...
std::vector<const char*> keys{"cudnn_conv1d_pad_to_nc1d"}; std::vector<const char*> values{"1"}; UpdateCUDAProviderOptions(cuda_options, keys.data(), values.data(), 1); OrtSessionOptions* session_options = /* ... */;
src.dim() + dim : dim;ctx->saved_data["dim"] = dim;ctx->saved_data["src_shape"] = src.sizes();index = broadcast(index, src, dim);autoresult = scatter_fw(src, index, dim, optional_out, dim_size,"sum");autoout =...
using namespace std; int main() { cout<<"Hello CUDA!"<<endl; return 0; } Listing 2.1: Basic CUDA Program Debug your project by pressing F5 or clicking Start Debugging in the Debug menu. Listing 2.1 does not do anything with CUDA, but if the project builds correctly, it is a good ...
Specifying a stream for a kernel launch or host-device memory copy is optional; you can invoke CUDA commands without specifying a stream (or by setting the stream parameter to zero). The following two lines of code both launch a kernel on the default stream. ...