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CUTLASS 3.5.1 (#1623)

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* CUTLASS 3.5.1

* updates, optimizations, fixes
This commit is contained in:
Vijay Thakkar
2024-07-29 08:46:24 -04:00
committed by GitHub
parent 56b46e2d13
commit be60a0b272
312 changed files with 19793 additions and 6775 deletions
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27
include/cute/algorithm/tensor_algorithms.hpp
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@ -33,8 +33,7 @@
#pragma once
#include <cute/config.hpp>
#include <cute/tensor.hpp>
#include <cute/tensor_impl.hpp>
namespace cute
{
@ -100,13 +99,13 @@ transform(Tensor<Engine,Layout>&& tensor, UnaryOp&& op)
}
// Similar to std::transform transforms one tensors and assigns it to another
template <class EngineIn, class LayoutIn,
class EngineOut, class LayoutOut,
template <class EngineIn, class LayoutIn,
class EngineOut, class LayoutOut,
class UnaryOp>
CUTE_HOST_DEVICE constexpr
void
transform(Tensor<EngineIn, LayoutIn > const& tensor_in,
Tensor<EngineOut,LayoutOut> & tensor_out,
transform(Tensor<EngineIn, LayoutIn > const& tensor_in,
Tensor<EngineOut,LayoutOut> & tensor_out,
UnaryOp&& op)
{
CUTE_UNROLL
@ -117,30 +116,30 @@ transform(Tensor<EngineIn, LayoutIn > const& tensor_in,
// Accept mutable temporaries
template <class EngineIn, class LayoutIn,
class EngineOut, class LayoutOut,
class EngineOut, class LayoutOut,
class UnaryOp>
CUTE_HOST_DEVICE constexpr
void
transform(Tensor<EngineIn, LayoutIn > const& tensor_in,
Tensor<EngineOut,LayoutOut> && tensor_out,
transform(Tensor<EngineIn, LayoutIn > const& tensor_in,
Tensor<EngineOut,LayoutOut> && tensor_out,
UnaryOp&& op)
{
return transform(tensor_in, tensor_out, op);
}
// Similar to std::transform with a binary operation
// Takes two tensors as input and one tensor as output.
// Takes two tensors as input and one tensor as output.
// Applies the binary_op to tensor_in1 and tensor_in2 and
// assigns it to tensor_out
template <class EngineIn1, class LayoutIn1,
class EngineIn2, class LayoutIn2,
class EngineOut, class LayoutOut,
class EngineOut, class LayoutOut,
class BinaryOp>
CUTE_HOST_DEVICE constexpr
void
transform(Tensor<EngineIn1,LayoutIn1> const& tensor_in1,
Tensor<EngineIn2,LayoutIn2> const& tensor_in2,
Tensor<EngineOut,LayoutOut> & tensor_out,
Tensor<EngineOut,LayoutOut> & tensor_out,
BinaryOp&& op)
{
CUTE_UNROLL
@ -152,11 +151,11 @@ transform(Tensor<EngineIn1,LayoutIn1> const& tensor_in1,
// Accept mutable temporaries
template <class EngineIn1, class LayoutIn1,
class EngineIn2, class LayoutIn2,
class EngineOut, class LayoutOut,
class EngineOut, class LayoutOut,
class BinaryOp>
CUTE_HOST_DEVICE constexpr
void
transform(Tensor<EngineIn1,LayoutIn1> const& tensor_in1,
transform(Tensor<EngineIn1,LayoutIn1> const& tensor_in1,
Tensor<EngineIn2,LayoutIn2> const& tensor_in2,
Tensor<EngineOut,LayoutOut> && tensor_out,
BinaryOp&& op)