2019-11-20 08:55:34 +08:00
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< li class = "navelem" > < a class = "el" href = "namespacecutlass.html" > cutlass< / a > < / li > < li class = "navelem" > < a class = "el" href = "namespacecutlass_1_1reference.html" > reference< / a > < / li > < li class = "navelem" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html" > device< / a > < / li > < / ul >
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< div class = "title" > cutlass::reference::device Namespace Reference< / div > < / div >
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Namespaces< / h2 > < / td > < / tr >
< tr class = "memitem:namespacecutlass_1_1reference_1_1device_1_1detail" > < td class = "memItemLeft" align = "right" valign = "top" >   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device_1_1detail.html" > detail< / a > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:namespacecutlass_1_1reference_1_1device_1_1kernel" > < td class = "memItemLeft" align = "right" valign = "top" >   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device_1_1kernel.html" > kernel< / a > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:namespacecutlass_1_1reference_1_1device_1_1thread" > < td class = "memItemLeft" align = "right" valign = "top" >   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device_1_1thread.html" > thread< / a > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
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Classes< / h2 > < / td > < / tr >
< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > struct   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "structcutlass_1_1reference_1_1device_1_1BlockForEach.html" > BlockForEach< / a > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > struct   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "structcutlass_1_1reference_1_1device_1_1Gemm.html" > Gemm< / a > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > struct   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "structcutlass_1_1reference_1_1device_1_1Gemm_3_01ElementA_00_01LayoutA_00_01ElementB_00_01Layout4e016ab7cfc644acd7cb4ae770339773.html" > Gemm< ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, ScalarType, AccumulatorType, arch::OpMultiplyAdd > < / a > < / td > < / tr >
< tr class = "memdesc:" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Partial specialization for multiply-add. < a href = "structcutlass_1_1reference_1_1device_1_1Gemm_3_01ElementA_00_01LayoutA_00_01ElementB_00_01Layout4e016ab7cfc644acd7cb4ae770339773.html#details" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > struct   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "structcutlass_1_1reference_1_1device_1_1Gemm_3_01ElementA_00_01LayoutA_00_01ElementB_00_01Layout30b72addd464a2ca4a26785cbfd77a8e.html" > Gemm< ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, ScalarType, AccumulatorType, arch::OpMultiplyAddSaturate > < / a > < / td > < / tr >
< tr class = "memdesc:" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Partial specialization for multiply-add-saturate. < a href = "structcutlass_1_1reference_1_1device_1_1Gemm_3_01ElementA_00_01LayoutA_00_01ElementB_00_01Layout30b72addd464a2ca4a26785cbfd77a8e.html#details" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > struct   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "structcutlass_1_1reference_1_1device_1_1Gemm_3_01ElementA_00_01LayoutA_00_01ElementB_00_01Layout660562b232f408218828ca5915b7e73a.html" > Gemm< ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, ScalarType, AccumulatorType, arch::OpXorPopc > < / a > < / td > < / tr >
2023-03-10 12:22:56 +08:00
< tr class = "memdesc:" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Partial specialization for XOR-popc. < a href = "structcutlass_1_1reference_1_1device_1_1Gemm_3_01ElementA_00_01LayoutA_00_01ElementB_00_01Layout660562b232f408218828ca5915b7e73a.html#details" > More...< / a > < br / > < / td > < / tr >
2019-11-20 08:55:34 +08:00
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > struct   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "structcutlass_1_1reference_1_1device_1_1TensorDiagonalForEach.html" > TensorDiagonalForEach< / a > < / td > < / tr >
< tr class = "memdesc:" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Launches a kernel calling a functor for each element along a tensor's diagonal. < a href = "structcutlass_1_1reference_1_1device_1_1TensorDiagonalForEach.html#details" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > struct   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "structcutlass_1_1reference_1_1device_1_1TensorForEach.html" > TensorForEach< / a > < / td > < / tr >
< tr class = "memdesc:" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Launches a kernel calling a functor for each element in a tensor's index space. < a href = "structcutlass_1_1reference_1_1device_1_1TensorForEach.html#details" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< / table > < table class = "memberdecls" >
< tr class = "heading" > < td colspan = "2" > < h2 class = "groupheader" > < a name = "func-members" > < / a >
Functions< / h2 > < / td > < / tr >
< tr class = "memitem:a4b872e5b16985b2cf31530a9090a8423" > < td class = "memTemplParams" colspan = "2" > template< typename ElementA , typename LayoutA , typename ElementB , typename LayoutB , typename ElementC , typename LayoutC , typename ScalarType , typename AccumulatorType , typename InnerProductOp = multiply_add< AccumulatorType> , typename ConvertOp = NumericConverter< ElementC, ScalarType> > < / td > < / tr >
< tr class = "memitem:a4b872e5b16985b2cf31530a9090a8423" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a4b872e5b16985b2cf31530a9090a8423" > compute_gemm< / a > (< a class = "el" href = "structcutlass_1_1gemm_1_1GemmCoord.html" > gemm::GemmCoord< / a > problem_size, ScalarType alpha, < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementA, LayoutA > tensor_a, < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementB, LayoutB > tensor_b, ScalarType beta, < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementC, LayoutC > tensor_c, < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementC, LayoutC > tensor_d, AccumulatorType initial_accum)< / td > < / tr >
< tr class = "separator:a4b872e5b16985b2cf31530a9090a8423" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:aa1b04f721cb13fb3f110acf6b29dc53b" > < td class = "memTemplParams" colspan = "2" > template< typename ElementA , typename LayoutA , typename ElementB , typename LayoutB , typename ElementC , typename LayoutC , typename ScalarType , typename AccumulatorType , typename InnerProductOp = multiply_add< AccumulatorType> , typename ConvertOp = NumericConverter< ElementC, ScalarType> > < / td > < / tr >
< tr class = "memitem:aa1b04f721cb13fb3f110acf6b29dc53b" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#aa1b04f721cb13fb3f110acf6b29dc53b" > compute_gemm< / a > (< a class = "el" href = "structcutlass_1_1gemm_1_1GemmCoord.html" > gemm::GemmCoord< / a > problem_size, ScalarType alpha, < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementA, LayoutA > tensor_a, < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementB, LayoutB > tensor_b, ScalarType beta, < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementC, LayoutC > tensor_c, AccumulatorType initial_accum)< / td > < / tr >
< tr class = "separator:aa1b04f721cb13fb3f110acf6b29dc53b" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:aaa524d4e141cc8934eb9a981e1c89fc5" > < td class = "memTemplParams" colspan = "2" > template< typename TensorRefCollectionA , typename TensorRefCollectionB , typename TensorRefCollectionC , typename ScalarType , typename AccumulatorType , typename InnerProductOp , typename ConvertOp > < / td > < / tr >
< tr class = "memitem:aaa524d4e141cc8934eb9a981e1c89fc5" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#aaa524d4e141cc8934eb9a981e1c89fc5" > BatchedGemm< / a > (< a class = "el" href = "structcutlass_1_1gemm_1_1GemmCoord.html" > gemm::GemmCoord< / a > problem_size, int batch_count, ScalarType alpha, TensorRefCollectionA const & tensor_a, TensorRefCollectionB const & tensor_b, ScalarType beta, TensorRefCollectionC & tensor_c, AccumulatorType initial_accum)< / td > < / tr >
< tr class = "memdesc:aaa524d4e141cc8934eb9a981e1c89fc5" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Computes a batch of GEMMs over a set of matrices of common dimension. < a href = "#aaa524d4e141cc8934eb9a981e1c89fc5" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:aaa524d4e141cc8934eb9a981e1c89fc5" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:abbb24b1a372b793bf35320443c179875" > < td class = "memTemplParams" colspan = "2" > template< typename TensorRefCollectionA , typename TensorRefCollectionB , typename TensorRefCollectionC , typename ScalarType , typename AccumulatorType > < / td > < / tr >
< tr class = "memitem:abbb24b1a372b793bf35320443c179875" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#abbb24b1a372b793bf35320443c179875" > BatchedGemm< / a > (< a class = "el" href = "structcutlass_1_1gemm_1_1GemmCoord.html" > gemm::GemmCoord< / a > problem_size, int batch_count, ScalarType alpha, TensorRefCollectionA const & tensor_a, TensorRefCollectionB const & tensor_b, ScalarType beta, TensorRefCollectionC & tensor_c)< / td > < / tr >
< tr class = "separator:abbb24b1a372b793bf35320443c179875" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:aad19927d67f15b89e66560cb77f2a813" > < td class = "memTemplParams" colspan = "2" > template< typename Element > < / td > < / tr >
< tr class = "memitem:aad19927d67f15b89e66560cb77f2a813" > < td class = "memTemplItemLeft" align = "right" valign = "top" > bool  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#aad19927d67f15b89e66560cb77f2a813" > BlockCompareEqual< / a > (Element const *ptr_A, Element const *ptr_B, size_t capacity, int grid_size=0, int block_size=0)< / td > < / tr >
< tr class = "memdesc:aad19927d67f15b89e66560cb77f2a813" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Performs a bit-level equality check between two blocks. < a href = "#aad19927d67f15b89e66560cb77f2a813" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:aad19927d67f15b89e66560cb77f2a813" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a286d24a9faabc0be18f96e1069dca23e" > < td class = "memTemplParams" colspan = "2" > template< typename Element > < / td > < / tr >
< tr class = "memitem:a286d24a9faabc0be18f96e1069dca23e" > < td class = "memTemplItemLeft" align = "right" valign = "top" > bool  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a286d24a9faabc0be18f96e1069dca23e" > BlockCompareRelativelyEqual< / a > (Element const *ptr_A, Element const *ptr_B, size_t capacity, Element epsilon, Element nonzero_floor, int grid_size=0, int block_size=0)< / td > < / tr >
< tr class = "memdesc:a286d24a9faabc0be18f96e1069dca23e" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Performs a bit-level equality check between two blocks. < a href = "#a286d24a9faabc0be18f96e1069dca23e" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a286d24a9faabc0be18f96e1069dca23e" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:ad71c8103c1f6a2d46a9ba6877844a69a" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:ad71c8103c1f6a2d46a9ba6877844a69a" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#ad71c8103c1f6a2d46a9ba6877844a69a" > TensorFillRandomGaussian< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view, uint64_t seed, Element mean=Element(0), Element stddev=Element(1), int bits=-1)< / td > < / tr >
< tr class = "memdesc:ad71c8103c1f6a2d46a9ba6877844a69a" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a tensor with random values with a Gaussian distribution. < a href = "#ad71c8103c1f6a2d46a9ba6877844a69a" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:ad71c8103c1f6a2d46a9ba6877844a69a" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a478e311bfbe901d167090032b6c28732" > < td class = "memTemplParams" colspan = "2" > template< typename Element > < / td > < / tr >
< tr class = "memitem:a478e311bfbe901d167090032b6c28732" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a478e311bfbe901d167090032b6c28732" > BlockFillRandomGaussian< / a > (Element *ptr, size_t capacity, uint64_t seed, Element mean=Element(0), Element stddev=Element(1), int bits=-1)< / td > < / tr >
< tr class = "memdesc:a478e311bfbe901d167090032b6c28732" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a tensor with random values with a Gaussian distribution. < a href = "#a478e311bfbe901d167090032b6c28732" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a478e311bfbe901d167090032b6c28732" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a448cf6f610939c95615ab66d7ca18b4c" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:a448cf6f610939c95615ab66d7ca18b4c" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a448cf6f610939c95615ab66d7ca18b4c" > TensorFillRandomUniform< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view, uint64_t seed, Element max=Element(1), Element min=Element(0), int bits=-1)< / td > < / tr >
< tr class = "memdesc:a448cf6f610939c95615ab66d7ca18b4c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a tensor with random values with a uniform random distribution. < a href = "#a448cf6f610939c95615ab66d7ca18b4c" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a448cf6f610939c95615ab66d7ca18b4c" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a6f7f618350cf975e261a4ee758650c66" > < td class = "memTemplParams" colspan = "2" > template< typename Element > < / td > < / tr >
< tr class = "memitem:a6f7f618350cf975e261a4ee758650c66" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a6f7f618350cf975e261a4ee758650c66" > BlockFillRandomUniform< / a > (Element *ptr, size_t capacity, uint64_t seed, Element max=Element(1), Element min=Element(0), int bits=-1)< / td > < / tr >
< tr class = "memdesc:a6f7f618350cf975e261a4ee758650c66" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a tensor with random values with a uniform random distribution. < a href = "#a6f7f618350cf975e261a4ee758650c66" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a6f7f618350cf975e261a4ee758650c66" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:aee20536c8ac0a5adcbb162c76eb89c00" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:aee20536c8ac0a5adcbb162c76eb89c00" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#aee20536c8ac0a5adcbb162c76eb89c00" > TensorFillDiagonal< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view, Element diag=Element(1), Element other=Element(0))< / td > < / tr >
< tr class = "memdesc:aee20536c8ac0a5adcbb162c76eb89c00" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a tensor everywhere with a unique value for its diagonal. < a href = "#aee20536c8ac0a5adcbb162c76eb89c00" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:aee20536c8ac0a5adcbb162c76eb89c00" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a6e23d479ebb3760d5846ed1b67e450e4" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:a6e23d479ebb3760d5846ed1b67e450e4" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a6e23d479ebb3760d5846ed1b67e450e4" > TensorFill< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view, Element val=Element(0))< / td > < / tr >
< tr class = "memdesc:a6e23d479ebb3760d5846ed1b67e450e4" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a tensor with a uniform value. < a href = "#a6e23d479ebb3760d5846ed1b67e450e4" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a6e23d479ebb3760d5846ed1b67e450e4" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a6b0f21995c4fd5c33617550e6905c78e" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:a6b0f21995c4fd5c33617550e6905c78e" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a6b0f21995c4fd5c33617550e6905c78e" > TensorFillIdentity< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view)< / td > < / tr >
2023-03-10 12:22:56 +08:00
< tr class = "memdesc:a6b0f21995c4fd5c33617550e6905c78e" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a tensor's diagonal with 1 and 0 everywhere else. < a href = "#a6b0f21995c4fd5c33617550e6905c78e" > More...< / a > < br / > < / td > < / tr >
2019-11-20 08:55:34 +08:00
< tr class = "separator:a6b0f21995c4fd5c33617550e6905c78e" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:aaff3d7919a2f2dce14eb254c17eead9a" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:aaff3d7919a2f2dce14eb254c17eead9a" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#aaff3d7919a2f2dce14eb254c17eead9a" > TensorUpdateDiagonal< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view, Element diag=Element(1))< / td > < / tr >
< tr class = "memdesc:aaff3d7919a2f2dce14eb254c17eead9a" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Writes a uniform value to the diagonal of a tensor without modifying off-diagonal elements. < a href = "#aaff3d7919a2f2dce14eb254c17eead9a" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:aaff3d7919a2f2dce14eb254c17eead9a" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a8ab743402a5664eb255b08efd0da3481" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:a8ab743402a5664eb255b08efd0da3481" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a8ab743402a5664eb255b08efd0da3481" > TensorUpdateOffDiagonal< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view, Element other=Element(1))< / td > < / tr >
< tr class = "memdesc:a8ab743402a5664eb255b08efd0da3481" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Writes a uniform value to all elements in the tensor without modifying diagonal elements. < a href = "#a8ab743402a5664eb255b08efd0da3481" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a8ab743402a5664eb255b08efd0da3481" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a37816633b87bce34515e31fa5c2709fa" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:a37816633b87bce34515e31fa5c2709fa" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a37816633b87bce34515e31fa5c2709fa" > TensorFillLinear< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view, Array< Element, Layout::kRank > const & v, Element s=Element(0))< / td > < / tr >
< tr class = "memdesc:a37816633b87bce34515e31fa5c2709fa" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills tensor with a linear combination of its coordinate and another vector. < a href = "#a37816633b87bce34515e31fa5c2709fa" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a37816633b87bce34515e31fa5c2709fa" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a2cf3ac0ae77e672e2af80f4820434cbe" > < td class = "memTemplParams" colspan = "2" > template< typename Element > < / td > < / tr >
< tr class = "memitem:a2cf3ac0ae77e672e2af80f4820434cbe" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a2cf3ac0ae77e672e2af80f4820434cbe" > BlockFillSequential< / a > (Element *ptr, int64_t capacity, Element v=Element(1), Element s=Element(0))< / td > < / tr >
< tr class = "memdesc:a2cf3ac0ae77e672e2af80f4820434cbe" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a block of data with sequential elements. < a href = "#a2cf3ac0ae77e672e2af80f4820434cbe" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a2cf3ac0ae77e672e2af80f4820434cbe" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:af6b21c6d90a1bb3f10dffd0a4adb644a" > < td class = "memTemplParams" colspan = "2" > template< typename Element > < / td > < / tr >
< tr class = "memitem:af6b21c6d90a1bb3f10dffd0a4adb644a" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#af6b21c6d90a1bb3f10dffd0a4adb644a" > BlockFillRandom< / a > (Element *ptr, size_t capacity, uint64_t seed, < a class = "el" href = "structcutlass_1_1Distribution.html" > Distribution< / a > dist)< / td > < / tr >
< tr class = "memdesc:af6b21c6d90a1bb3f10dffd0a4adb644a" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Fills a block of data with sequential elements. < a href = "#af6b21c6d90a1bb3f10dffd0a4adb644a" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:af6b21c6d90a1bb3f10dffd0a4adb644a" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a3d11dd00b1bdaa15fdb96345c5ac613a" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:a3d11dd00b1bdaa15fdb96345c5ac613a" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a3d11dd00b1bdaa15fdb96345c5ac613a" > TensorCopyDiagonalIn< / a > (< a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view, Element const *ptr)< / td > < / tr >
< tr class = "memdesc:a3d11dd00b1bdaa15fdb96345c5ac613a" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Copies a diagonal in from host memory without modifying off-diagonal elements. < a href = "#a3d11dd00b1bdaa15fdb96345c5ac613a" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a3d11dd00b1bdaa15fdb96345c5ac613a" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:a299cab22dca6be5ddf6ff62e23566a24" > < td class = "memTemplParams" colspan = "2" > template< typename Element , typename Layout > < / td > < / tr >
< tr class = "memitem:a299cab22dca6be5ddf6ff62e23566a24" > < td class = "memTemplItemLeft" align = "right" valign = "top" > void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "namespacecutlass_1_1reference_1_1device.html#a299cab22dca6be5ddf6ff62e23566a24" > TensorCopyDiagonalOut< / a > (Element *ptr, < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout > view)< / td > < / tr >
< tr class = "memdesc:a299cab22dca6be5ddf6ff62e23566a24" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Copies the diagonal of a tensor into a dense buffer in host memory. < a href = "#a299cab22dca6be5ddf6ff62e23566a24" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:a299cab22dca6be5ddf6ff62e23566a24" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< / table >
< h2 class = "groupheader" > Function Documentation< / h2 >
< a class = "anchor" id = "aaa524d4e141cc8934eb9a981e1c89fc5" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename TensorRefCollectionA , typename TensorRefCollectionB , typename TensorRefCollectionC , typename ScalarType , typename AccumulatorType , typename InnerProductOp , typename ConvertOp > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::BatchedGemm < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "structcutlass_1_1gemm_1_1GemmCoord.html" > gemm::GemmCoord< / a >   < / td >
< td class = "paramname" > < em > problem_size< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > batch_count< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > ScalarType  < / td >
< td class = "paramname" > < em > alpha< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > TensorRefCollectionA const &   < / td >
< td class = "paramname" > < em > tensor_a< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > TensorRefCollectionB const &   < / td >
< td class = "paramname" > < em > tensor_b< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > ScalarType  < / td >
< td class = "paramname" > < em > beta< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > TensorRefCollectionC &   < / td >
< td class = "paramname" > < em > tensor_c< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > AccumulatorType  < / td >
< td class = "paramname" > < em > initial_accum< / em >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< / div >
< / div >
< a class = "anchor" id = "abbb24b1a372b793bf35320443c179875" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename TensorRefCollectionA , typename TensorRefCollectionB , typename TensorRefCollectionC , typename ScalarType , typename AccumulatorType > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::BatchedGemm < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "structcutlass_1_1gemm_1_1GemmCoord.html" > gemm::GemmCoord< / a >   < / td >
< td class = "paramname" > < em > problem_size< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > batch_count< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > ScalarType  < / td >
< td class = "paramname" > < em > alpha< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > TensorRefCollectionA const &   < / td >
< td class = "paramname" > < em > tensor_a< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > TensorRefCollectionB const &   < / td >
< td class = "paramname" > < em > tensor_b< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > ScalarType  < / td >
< td class = "paramname" > < em > beta< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > TensorRefCollectionC &   < / td >
< td class = "paramname" > < em > tensor_c< / em >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > Computes a general matrix product among matrices (tensors of rank=2) pointed to by < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > objects. < / p >
< / div >
< / div >
< a class = "anchor" id = "aad19927d67f15b89e66560cb77f2a813" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > bool cutlass::reference::device::BlockCompareEqual < / td >
< td > (< / td >
< td class = "paramtype" > Element const *  < / td >
< td class = "paramname" > < em > ptr_A< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element const *  < / td >
< td class = "paramname" > < em > ptr_B< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > size_t  < / td >
< td class = "paramname" > < em > capacity< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > grid_size< / em > = < code > 0< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > block_size< / em > = < code > 0< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< / div >
< / div >
< a class = "anchor" id = "a286d24a9faabc0be18f96e1069dca23e" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > bool cutlass::reference::device::BlockCompareRelativelyEqual < / td >
< td > (< / td >
< td class = "paramtype" > Element const *  < / td >
< td class = "paramname" > < em > ptr_A< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element const *  < / td >
< td class = "paramname" > < em > ptr_B< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > size_t  < / td >
< td class = "paramname" > < em > capacity< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > epsilon< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > nonzero_floor< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > grid_size< / em > = < code > 0< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > block_size< / em > = < code > 0< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< / div >
< / div >
< a class = "anchor" id = "af6b21c6d90a1bb3f10dffd0a4adb644a" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::BlockFillRandom < / td >
< td > (< / td >
< td class = "paramtype" > Element *  < / td >
< td class = "paramname" > < em > ptr< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > size_t  < / td >
< td class = "paramname" > < em > capacity< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > uint64_t  < / td >
< td class = "paramname" > < em > seed< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "structcutlass_1_1Distribution.html" > Distribution< / a >   < / td >
< td class = "paramname" > < em > dist< / em >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< / div >
< / div >
< a class = "anchor" id = "a478e311bfbe901d167090032b6c28732" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::BlockFillRandomGaussian < / td >
< td > (< / td >
< td class = "paramtype" > Element *  < / td >
< td class = "paramname" > < em > ptr< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > size_t  < / td >
< td class = "paramname" > < em > capacity< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > uint64_t  < / td >
< td class = "paramname" > < em > seed< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > mean< / em > = < code > Element(0)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > stddev< / em > = < code > Element(1)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > bits< / em > = < code > -1< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Element type < / p >
< p > < If non-negative, specifies number of fractional bits that are not truncated to zero. Permits reducing precision of data. < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > seed< / td > < td > seed for RNG < / td > < / tr >
< tr > < td class = "paramname" > mean< / td > < td > Gaussian distribution's mean < / td > < / tr >
< tr > < td class = "paramname" > stddev< / td > < td > Gaussian distribution's standard deviation < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
< / div >
< a class = "anchor" id = "a6f7f618350cf975e261a4ee758650c66" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::BlockFillRandomUniform < / td >
< td > (< / td >
< td class = "paramtype" > Element *  < / td >
< td class = "paramname" > < em > ptr< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > size_t  < / td >
< td class = "paramname" > < em > capacity< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > uint64_t  < / td >
< td class = "paramname" > < em > seed< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > max< / em > = < code > Element(1)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > min< / em > = < code > Element(0)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > bits< / em > = < code > -1< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < If non-negative, specifies number of fractional bits that are not truncated to zero. Permits reducing precision of data. < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > seed< / td > < td > seed for RNG < / td > < / tr >
< tr > < td class = "paramname" > max< / td > < td > upper bound of distribution < / td > < / tr >
< tr > < td class = "paramname" > min< / td > < td > lower bound for distribution < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
< / div >
< a class = "anchor" id = "a2cf3ac0ae77e672e2af80f4820434cbe" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::BlockFillSequential < / td >
< td > (< / td >
< td class = "paramtype" > Element *  < / td >
< td class = "paramname" > < em > ptr< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int64_t  < / td >
< td class = "paramname" > < em > capacity< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > v< / em > = < code > Element(1)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > s< / em > = < code > Element(0)< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< / div >
< / div >
< a class = "anchor" id = "a4b872e5b16985b2cf31530a9090a8423" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename ElementA , typename LayoutA , typename ElementB , typename LayoutB , typename ElementC , typename LayoutC , typename ScalarType , typename AccumulatorType , typename InnerProductOp = multiply_add< AccumulatorType> , typename ConvertOp = NumericConverter< ElementC, ScalarType> > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::compute_gemm < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "structcutlass_1_1gemm_1_1GemmCoord.html" > gemm::GemmCoord< / a >   < / td >
< td class = "paramname" > < em > problem_size< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > ScalarType  < / td >
< td class = "paramname" > < em > alpha< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementA, LayoutA >   < / td >
< td class = "paramname" > < em > tensor_a< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementB, LayoutB >   < / td >
< td class = "paramname" > < em > tensor_b< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > ScalarType  < / td >
< td class = "paramname" > < em > beta< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementC, LayoutC >   < / td >
< td class = "paramname" > < em > tensor_c< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementC, LayoutC >   < / td >
< td class = "paramname" > < em > tensor_d< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > AccumulatorType  < / td >
< td class = "paramname" > < em > initial_accum< / em >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > Computes a general matrix product among matrices (tensors of rank=2) pointed to by < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > objects.< / p >
< p > Explicitly naming types needed by this template can be cumbersome, particularly for the accumulator type, so a function argument 'initial_accum' is exposed. Passing AccumulatorType(0) as the last function argument can be easier than naming all template arguments explicitly. < / p >
< / div >
< / div >
< a class = "anchor" id = "aa1b04f721cb13fb3f110acf6b29dc53b" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename ElementA , typename LayoutA , typename ElementB , typename LayoutB , typename ElementC , typename LayoutC , typename ScalarType , typename AccumulatorType , typename InnerProductOp = multiply_add< AccumulatorType> , typename ConvertOp = NumericConverter< ElementC, ScalarType> > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::compute_gemm < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "structcutlass_1_1gemm_1_1GemmCoord.html" > gemm::GemmCoord< / a >   < / td >
< td class = "paramname" > < em > problem_size< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > ScalarType  < / td >
< td class = "paramname" > < em > alpha< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementA, LayoutA >   < / td >
< td class = "paramname" > < em > tensor_a< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementB, LayoutB >   < / td >
< td class = "paramname" > < em > tensor_b< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > ScalarType  < / td >
< td class = "paramname" > < em > beta< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > < ElementC, LayoutC >   < / td >
< td class = "paramname" > < em > tensor_c< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > AccumulatorType  < / td >
< td class = "paramname" > < em > initial_accum< / em >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > Computes a general matrix product among matrices (tensors of rank=2) pointed to by < a class = "el" href = "classcutlass_1_1TensorRef.html" > TensorRef< / a > objects.< / p >
< p > This assumes the accumulator type is the same type as the scalars. < / p >
< / div >
< / div >
< a class = "anchor" id = "a3d11dd00b1bdaa15fdb96345c5ac613a" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorCopyDiagonalIn < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element const *  < / td >
< td class = "paramname" > < em > ptr< / em >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< p > < dense buffer of elements < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > view< / td > < td > destination tensor < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
< / div >
< a class = "anchor" id = "a299cab22dca6be5ddf6ff62e23566a24" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorCopyDiagonalOut < / td >
< td > (< / td >
< td class = "paramtype" > Element *  < / td >
< td class = "paramname" > < em > ptr< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< p > < source tensor < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > ptr< / td > < td > dense buffer of elements < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
< / div >
< a class = "anchor" id = "a6e23d479ebb3760d5846ed1b67e450e4" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorFill < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > val< / em > = < code > Element(0)< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< p > < value to uniformly fill it with < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > view< / td > < td > destination tensor < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
< / div >
< a class = "anchor" id = "aee20536c8ac0a5adcbb162c76eb89c00" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorFillDiagonal < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > diag< / em > = < code > Element(1)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > other< / em > = < code > Element(0)< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< p > < value to write off the diagonal < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > view< / td > < td > destination tensor < / td > < / tr >
< tr > < td class = "paramname" > diag< / td > < td > value to write in the diagonal < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
< / div >
< a class = "anchor" id = "a6b0f21995c4fd5c33617550e6905c78e" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorFillIdentity < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > < / td > < td > )< / td >
< td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< p > < destination tensor < / p >
< / div >
< / div >
< a class = "anchor" id = "a37816633b87bce34515e31fa5c2709fa" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorFillLinear < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Array< Element, Layout::kRank > const &   < / td >
< td class = "paramname" > < em > v< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > s< / em > = < code > Element(0)< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > view< / td > < td > destination tensor < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
< / div >
< a class = "anchor" id = "ad71c8103c1f6a2d46a9ba6877844a69a" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorFillRandomGaussian < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > uint64_t  < / td >
< td class = "paramname" > < em > seed< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > mean< / em > = < code > Element(0)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > stddev< / em > = < code > Element(1)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > bits< / em > = < code > -1< / code >   < / td >
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< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
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< p > < Layout function < / p >
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< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > view< / td > < td > destination tensor < / td > < / tr >
< tr > < td class = "paramname" > seed< / td > < td > seed for RNG < / td > < / tr >
< tr > < td class = "paramname" > mean< / td > < td > Gaussian distribution's mean < / td > < / tr >
< tr > < td class = "paramname" > stddev< / td > < td > Gaussian distribution's standard deviation < / td > < / tr >
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< / dd >
< / dl >
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< / div >
< a class = "anchor" id = "a448cf6f610939c95615ab66d7ca18b4c" > < / a >
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< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorFillRandomUniform < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > uint64_t  < / td >
< td class = "paramname" > < em > seed< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > max< / em > = < code > Element(1)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > min< / em > = < code > Element(0)< / code > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > int  < / td >
< td class = "paramname" > < em > bits< / em > = < code > -1< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< p > < If non-negative, specifies number of fractional bits that are not truncated to zero. Permits reducing precision of data. < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > view< / td > < td > destination tensor < / td > < / tr >
< tr > < td class = "paramname" > seed< / td > < td > seed for RNG < / td > < / tr >
< tr > < td class = "paramname" > max< / td > < td > upper bound of distribution < / td > < / tr >
< tr > < td class = "paramname" > min< / td > < td > lower bound for distribution < / td > < / tr >
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< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorUpdateDiagonal < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > diag< / em > = < code > Element(1)< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > view< / td > < td > destination tensor < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
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< a class = "anchor" id = "a8ab743402a5664eb255b08efd0da3481" > < / a >
< div class = "memitem" >
< div class = "memproto" >
< div class = "memtemplate" >
template< typename Element , typename Layout > < / div >
< table class = "memname" >
< tr >
< td class = "memname" > void cutlass::reference::device::TensorUpdateOffDiagonal < / td >
< td > (< / td >
< td class = "paramtype" > < a class = "el" href = "classcutlass_1_1TensorView.html" > TensorView< / a > < Element, Layout >   < / td >
< td class = "paramname" > < em > view< / em > , < / td >
< / tr >
< tr >
< td class = "paramkey" > < / td >
< td > < / td >
< td class = "paramtype" > Element  < / td >
< td class = "paramname" > < em > other< / em > = < code > Element(1)< / code >   < / td >
< / tr >
< tr >
< td > < / td >
< td > )< / td >
< td > < / td > < td > < / td >
< / tr >
< / table >
< / div > < div class = "memdoc" >
< p > < Layout function < / p >
< dl class = "params" > < dt > Parameters< / dt > < dd >
< table class = "params" >
< tr > < td class = "paramname" > view< / td > < td > destination tensor < / td > < / tr >
< / table >
< / dd >
< / dl >
< / div >
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