CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
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Defines basic properties needed by CTA-level GEMMs 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/tensor_op_multiplicand_sm70.h"
#include "cutlass/transform/pitch_linear_thread_map.h"
#include "cutlass/transform/threadblock/regular_tile_iterator_tensor_op_sm70.h"
#include "cutlass/gemm/warp/mma_tensor_op_sm70.h"
#include "cutlass/gemm/threadblock/default_mma_core.h"
Go to the source code of this file.
Namespaces | |
cutlass | |
cutlass::gemm | |
cutlass::gemm::threadblock | |
Partial specializations for threadblock::Mma operations targeting TensorOp instructions.