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CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
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Defines basic properties needed by CTA-level batched GEMV assuming expectations about data layout of the global memory fragments, data types, and internal tile sizes. More...
#include "cutlass/cutlass.h"#include "cutlass/array.h"#include "cutlass/numeric_types.h"#include "cutlass/matrix_shape.h"#include "cutlass/layout/matrix.h"#include "cutlass/platform/platform.h"#include "cutlass/gemm/gemm.h"#include "cutlass/gemm/thread/mma.h"#include "cutlass/transform/threadblock/predicated_tile_iterator.h"#include "cutlass/transform/pitch_linear_thread_map.h"#include "cutlass/gemm/threadblock/gemv.h"

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Classes | |
| struct | cutlass::gemm::threadblock::DefaultGemvCore< Shape_, ThreadShape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_ > |
Namespaces | |
| cutlass | |
| cutlass::gemm | |
| cutlass::gemm::threadblock | |
Partial specializations for threadblock::Mma operations targeting SIMT instructions.
1.8.11