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Signed-off-by: TianyuanWu <Tianyuan.Wu@amd.com>
This commit is contained in:
TianyuanWu
2025-08-08 18:27:44 +08:00
parent f3dcef8877
commit 630286d94a
9 changed files with 29 additions and 29 deletions
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4
example/02_gemm_bilinear/gemm_bilinear_wmma_fp16.cpp
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@@ -1,5 +1,5 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
@@ -21,7 +21,7 @@
struct AlphaBetaAdd
{
AlphaBetaAdd(float alpha, float beta) : alpha_(alpha), beta_(beta) {};
AlphaBetaAdd(float alpha, float beta) : alpha_(alpha), beta_(beta){};
template <typename E, typename C, typename D>
__host__ __device__ constexpr void operator()(E& e, const C& c, const D& d) const;

4
example/02_gemm_bilinear/gemm_bilinear_wmma_int8.cpp
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@@ -1,5 +1,5 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
@@ -21,7 +21,7 @@
struct AlphaBetaAdd
{
AlphaBetaAdd(int alpha, int beta) : alpha_(alpha), beta_(beta) {};
AlphaBetaAdd(int alpha, int beta) : alpha_(alpha), beta_(beta){};
template <typename E, typename C, typename D>
__host__ __device__ constexpr void operator()(E& e, const C& c, const D& d) const;

4
example/02_gemm_bilinear/gemm_bilinear_xdl_fp16.cpp
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@@ -1,5 +1,5 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
@@ -20,7 +20,7 @@
struct AlphaBetaAdd
{
AlphaBetaAdd(float alpha, float beta) : alpha_(alpha), beta_(beta) {};
AlphaBetaAdd(float alpha, float beta) : alpha_(alpha), beta_(beta){};
template <typename E, typename C, typename D>
__host__ __device__ constexpr void operator()(E& e, const C& c, const D& d) const;

4
example/60_gemm_multi_ABD/gemm_multi_ABD_xdl_fp16.cpp
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@@ -1,5 +1,5 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
@@ -83,7 +83,7 @@ struct AddScale
struct AlphaBetaAdd
{
AlphaBetaAdd(float alpha, float beta) : alpha_(alpha), beta_(beta) {};
AlphaBetaAdd(float alpha, float beta) : alpha_(alpha), beta_(beta){};
template <typename E, typename C, typename D>
__host__ __device__ constexpr void operator()(E& e, const C& c, const D& d) const;

4
example/61_contraction_multi_ABD/contraction_multi_ABD_xdl_fp16.cpp
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@@ -1,5 +1,5 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2023-2025, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
@@ -42,7 +42,7 @@ static constexpr ck::index_t NumDimK = 2;
struct AlphaBetaAdd
{
AlphaBetaAdd(float alpha, float beta) : alpha_(alpha), beta_(beta) {};
AlphaBetaAdd(float alpha, float beta) : alpha_(alpha), beta_(beta){};
template <typename E, typename C, typename D>
__host__ __device__ constexpr void operator()(E& e, const C& c, const D& d) const;

8
include/ck/library/utility/host_tensor_generator.hpp
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@@ -483,7 +483,7 @@ struct GeneratorTensor_4
std::normal_distribution<float> distribution;
GeneratorTensor_4(float mean, float stddev, unsigned int seed = 1)
: generator(seed), distribution(mean, stddev) {};
: generator(seed), distribution(mean, stddev){};
template <typename... Is>
T operator()(Is...)
@@ -501,7 +501,7 @@ struct GeneratorTensor_4<ck::f4x2_pk_t>
std::normal_distribution<float> distribution;
GeneratorTensor_4(float mean, float stddev, unsigned int seed = 1)
: generator(seed), distribution(mean, stddev) {};
: generator(seed), distribution(mean, stddev){};
template <typename... Is>
ck::f4x2_pk_t operator()(Is...)
@@ -520,7 +520,7 @@ struct GeneratorTensor_4<ck::f6x32_pk_t>
std::normal_distribution<float> distribution;
GeneratorTensor_4(float mean, float stddev, unsigned int seed = 1)
: generator(seed), distribution(mean, stddev) {};
: generator(seed), distribution(mean, stddev){};
template <typename... Is>
ck::f6x32_pk_t operator()(Is...)
@@ -542,7 +542,7 @@ struct GeneratorTensor_4<ck::bf6x32_pk_t>
std::normal_distribution<float> distribution;
GeneratorTensor_4(float mean, float stddev, unsigned int seed = 1)
: generator(seed), distribution(mean, stddev) {};
: generator(seed), distribution(mean, stddev){};
template <typename... Is>
ck::bf6x32_pk_t operator()(Is...)

4
include/ck/tensor_operation/gpu/element/binary_element_wise_operation.hpp
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@@ -279,7 +279,7 @@ struct Subtract
struct Bilinear
{
Bilinear(float alpha = 1.f, float beta = 1.f) : alpha_(alpha), beta_(beta) {};
Bilinear(float alpha = 1.f, float beta = 1.f) : alpha_(alpha), beta_(beta){};
template <typename Y, typename X0, typename X1>
__host__ __device__ constexpr void operator()(Y&, const X0&, const X1&) const;
@@ -354,7 +354,7 @@ struct Bilinear
struct AddClamp
{
AddClamp(float floor = 0.f, float ceil = NumericLimits<float>::Max())
: floor_(floor), ceil_(ceil) {};
: floor_(floor), ceil_(ceil){};
template <typename Y, typename X0, typename X1>
__host__ __device__ constexpr void operator()(Y& y, const X0& x0, const X1& x1) const;

14
include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp
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@@ -756,7 +756,7 @@ struct UnarySqrt
struct Clamp
{
Clamp(float floor = 0.f, float ceil = NumericLimits<float>::Max())
: floor_(floor), ceil_(ceil) {};
: floor_(floor), ceil_(ceil){};
template <typename Y, typename X>
__host__ __device__ constexpr void operator()(Y& y, const X& x) const;
@@ -1324,7 +1324,7 @@ struct Swish
struct SoftRelu
{
SoftRelu(float alpha = 1.f) : alpha_(alpha) {};
SoftRelu(float alpha = 1.f) : alpha_(alpha){};
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
@@ -1353,7 +1353,7 @@ struct SoftRelu
struct Power
{
Power(float alpha = 0.f, float beta = 1.f, float gamma = 2.f)
: alpha_(alpha), beta_(beta), gamma_(gamma) {};
: alpha_(alpha), beta_(beta), gamma_(gamma){};
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
@@ -1386,7 +1386,7 @@ struct Power
struct ClippedRelu
{
ClippedRelu(float alpha = 0.f, float beta = 1.f) : alpha_(alpha), beta_(beta) {};
ClippedRelu(float alpha = 0.f, float beta = 1.f) : alpha_(alpha), beta_(beta){};
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
@@ -1415,7 +1415,7 @@ struct ClippedRelu
struct LeakyRelu
{
LeakyRelu(float alpha = 0.01f) : alpha_(alpha) {};
LeakyRelu(float alpha = 0.01f) : alpha_(alpha){};
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
@@ -1442,7 +1442,7 @@ struct LeakyRelu
struct Elu
{
Elu(float alpha = 1.f) : alpha_(alpha) {};
Elu(float alpha = 1.f) : alpha_(alpha){};
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
@@ -1469,7 +1469,7 @@ struct Elu
struct Logistic
{
Logistic(float alpha = 1.f) : alpha_(alpha) {};
Logistic(float alpha = 1.f) : alpha_(alpha){};
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const

12
include/ck_tile/ops/elementwise/unary_element_wise_operation.hpp
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@@ -1308,7 +1308,7 @@ struct Swish
struct SoftRelu
{
SoftRelu(float alpha = 1.f) : alpha_(alpha) {};
SoftRelu(float alpha = 1.f) : alpha_(alpha){};
template <typename T>
CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
@@ -1327,7 +1327,7 @@ struct SoftRelu
struct Power
{
Power(float alpha = 0.f, float beta = 1.f, float gamma = 2.f)
: alpha_(alpha), beta_(beta), gamma_(gamma) {};
: alpha_(alpha), beta_(beta), gamma_(gamma){};
template <typename T>
CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
@@ -1349,7 +1349,7 @@ struct Power
struct ClippedRelu
{
ClippedRelu(float alpha = 0.f, float beta = 1.f) : alpha_(alpha), beta_(beta) {};
ClippedRelu(float alpha = 0.f, float beta = 1.f) : alpha_(alpha), beta_(beta){};
template <typename T>
CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
@@ -1368,7 +1368,7 @@ struct ClippedRelu
struct LeakyRelu
{
LeakyRelu(float alpha = 0.01f) : alpha_(alpha) {};
LeakyRelu(float alpha = 0.01f) : alpha_(alpha){};
template <typename T>
CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
@@ -1385,7 +1385,7 @@ struct LeakyRelu
struct Elu
{
Elu(float alpha = 1.f) : alpha_(alpha) {};
Elu(float alpha = 1.f) : alpha_(alpha){};
template <typename T>
CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
@@ -1402,7 +1402,7 @@ struct Elu
struct Logistic
{
Logistic(float alpha = 1.f) : alpha_(alpha) {};
Logistic(float alpha = 1.f) : alpha_(alpha){};
template <typename T>
CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const