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Unverified Commit 1519ce91 authored by Bartłomiej Kocot's avatar Bartłomiej Kocot Committed by GitHub
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Fix and optimize dynamic unary elementwise (#1818) 

* Fix and optimize dynamic unary elementwise

* fix
parent 1ff50e78
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Showing with 214 additions and 701 deletions
include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp
View file @ 1519ce91
// SPDX-License-Identifier: MIT
// Copyright (c) 2023-2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2023-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -121,19 +121,6 @@ __global__ void
static_for<0, NumDTensor, 1>{}(
[&](auto i) { p_ds_grid_grp(i) = p_ds_grid[i] + ds_group_offset[i]; });
if constexpr(is_same_v<AElementwiseOperation, element_wise::DynamicUnaryOp>)
{
a_element_op.InitUnaryOpPtrOnDevice();
}
if constexpr(is_same_v<BElementwiseOperation, element_wise::DynamicUnaryOp>)
{
b_element_op.InitUnaryOpPtrOnDevice();
}
if constexpr(is_same_v<CDEElementwiseOperation, element_wise::DynamicUnaryOp>)
{
cde_element_op.InitUnaryOpPtrOnDevice();
}
if constexpr(isMultiA || isMultiB)
{
AsPointer p_as_grid_grp;
......
include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp
View file @ 1519ce91
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -247,32 +247,6 @@ struct DequantPack8
constexpr const static bool is_pack8_invocable = true;
};
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wnon-virtual-dtor"
struct UnaryOpBase
{
public:
__host__ __device__ ~UnaryOpBase() = default;
__host__ __device__ constexpr UnaryOpBase() = default;
__host__ __device__ constexpr UnaryOpBase(const UnaryOpBase&) = default;
__host__ __device__ constexpr UnaryOpBase(UnaryOpBase&&) = default;
__host__ __device__ UnaryOpBase& operator=(const UnaryOpBase&) = default;
__host__ __device__ UnaryOpBase& operator=(UnaryOpBase&&) = default;
__host__ __device__ virtual inline void operator()(float& y, const float& x) const = 0;
__host__ __device__ virtual inline void operator()(double& y, const double& x) const = 0;
__host__ __device__ virtual inline void operator()(int32_t& y, const int32_t& x) const = 0;
__host__ __device__ virtual inline void operator()(int8_t& y, const int8_t& x) const = 0;
__host__ __device__ virtual inline void operator()(half_t& y, const half_t& x) const = 0;
__host__ __device__ virtual inline void operator()(bhalf_t& y, const bhalf_t& x) const = 0;
};
struct PassThroughPack2
{
template <typename Y, typename X>
......@@ -304,27 +278,8 @@ struct PassThroughPack2
constexpr const static bool is_pack2_invocable = true;
};
struct PassThrough final : public UnaryOpBase
struct PassThrough
{
__host__ __device__ constexpr PassThrough() = default;
__host__ __device__ constexpr PassThrough(const PassThrough&) = default;
__host__ __device__ constexpr PassThrough(PassThrough&&) = default;
__host__ __device__ PassThrough& operator=(const PassThrough&) = default;
__host__ __device__ PassThrough& operator=(PassThrough&&) = default;
__host__ __device__ ~PassThrough() = default;
__host__ __device__ inline void operator()(float& y, const float& x) const final { y = x; }
__host__ __device__ inline void operator()(double& y, const double& x) const final { y = x; }
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final { y = x; }
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final { y = x; }
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final { y = x; }
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final { y = x; }
template <typename Y, typename X>
__host__ __device__ void operator()(Y& y, const X& x) const;
......@@ -334,6 +289,12 @@ struct PassThrough final : public UnaryOpBase
y = x;
}
template <>
__host__ __device__ void operator()<double, double>(double& y, const double& x) const
{
y = x;
}
template <>
__host__ __device__ void operator()<float, double>(float& y, const double& x) const
{
......@@ -346,12 +307,36 @@ struct PassThrough final : public UnaryOpBase
y = type_convert<double>(x);
}
template <>
__host__ __device__ void operator()<float, float>(float& y, const float& x) const
{
y = x;
}
template <>
__host__ __device__ void operator()<half_t, half_t>(half_t& y, const half_t& x) const
{
y = x;
}
template <>
__host__ __device__ void operator()<half_t, float>(half_t& y, const float& x) const
{
y = type_convert<half_t>(x);
}
template <>
__host__ __device__ void operator()<bhalf_t, bhalf_t>(bhalf_t& y, const bhalf_t& x) const
{
y = x;
}
template <>
__host__ __device__ void operator()<int32_t, int32_t>(int32_t& y, const int32_t& x) const
{
y = x;
}
template <>
__host__ __device__ void operator()<bhalf_t, float>(bhalf_t& y, const float& x) const
{
......@@ -376,6 +361,12 @@ struct PassThrough final : public UnaryOpBase
y = type_convert<float>(x);
}
template <>
__host__ __device__ void operator()<int8_t, int8_t>(int8_t& y, const int8_t& x) const
{
y = x;
}
template <>
__host__ __device__ void operator()<half_t, int8_t>(half_t& y, const int8_t& x) const
{
......@@ -675,45 +666,20 @@ struct UnarySquare
};
};
struct UnaryAbs final : public UnaryOpBase
struct UnaryAbs
{
__host__ __device__ constexpr UnaryAbs() = default;
__host__ __device__ constexpr UnaryAbs(const UnaryAbs&) = default;
__host__ __device__ constexpr UnaryAbs(UnaryAbs&&) = default;
__host__ __device__ UnaryAbs& operator=(const UnaryAbs&) = default;
__host__ __device__ UnaryAbs& operator=(UnaryAbs&&) = default;
__host__ __device__ ~UnaryAbs() = default;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
y = ck::math::abs(x);
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
y = ck::math::abs(x);
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
y = ck::math::abs(x);
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
y = ck::math::abs(x);
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
y = ck::math::abs(x);
}
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
{
y = ck::math::abs(x);
}
};
template <>
__host__ __device__ void operator()(f8_t& y, const f8_t& x) const
{
y = ck::type_convert<f8_t>(ck::math::abs(ck::type_convert<float>(x)));
......@@ -732,41 +698,20 @@ struct UnarySqrt
};
};
struct Relu final : public UnaryOpBase
struct Relu
{
__host__ __device__ constexpr Relu() = default;
__host__ __device__ constexpr Relu(const Relu&) = default;
__host__ __device__ constexpr Relu(Relu&&) = default;
__host__ __device__ Relu& operator=(const Relu&) = default;
__host__ __device__ Relu& operator=(Relu&&) = default;
__host__ __device__ ~Relu() = default;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
y = x > 0 ? x : 0;
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
y = x > 0 ? x : 0;
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
y = x > 0 ? x : 0;
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
y = x > 0 ? x : 0;
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
y = x > 0 ? x : 0;
}
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
template <>
__host__ __device__ void operator()(bhalf_t& y, const bhalf_t& x) const
{
float x_f32 = ck::type_convert<float>(x);
float y_f32 = x_f32 > 0 ? x_f32 : 0;
......@@ -913,52 +858,18 @@ struct Gelu
}
};
struct Sigmoid final : public UnaryOpBase
struct Sigmoid
{
__host__ __device__ constexpr Sigmoid() = default;
__host__ __device__ constexpr Sigmoid(const Sigmoid&) = default;
__host__ __device__ constexpr Sigmoid(Sigmoid&&) = default;
__host__ __device__ Sigmoid& operator=(const Sigmoid&) = default;
__host__ __device__ Sigmoid& operator=(Sigmoid&&) = default;
__host__ __device__ ~Sigmoid() = default;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
constexpr float one = type_convert<float>(1);
y = one / (one + ck::math::exp(-x));
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
constexpr double one = type_convert<double>(1);
y = one / (one + ck::math::exp(-x));
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
constexpr int32_t one = type_convert<int32_t>(1);
y = one / (one + ck::math::exp(-x));
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
constexpr int8_t one = type_convert<int8_t>(1);
y = one / (one + ck::math::exp(-x));
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
constexpr half_t one = type_convert<half_t>(1);
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, ck::half_t>::value || is_same<T, int8_t>::value ||
is_same<T, int32_t>::value,
"Data type is not supported by this operation!");
constexpr T one = type_convert<T>(1);
y = one / (one + ck::math::exp(-x));
}
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
{
constexpr float one = type_convert<float>(1);
float x_f32 = ck::type_convert<float>(x);
float y_f32 = one / (one + ck::math::exp(x_f32));
y = ck::type_convert<bhalf_t>(y_f32);
}
};
};
struct Silu
......@@ -974,44 +885,18 @@ struct Silu
};
};
struct TanH final : public UnaryOpBase
struct TanH
{
__host__ __device__ constexpr TanH() = default;
__host__ __device__ constexpr TanH(const TanH&) = default;
__host__ __device__ constexpr TanH(TanH&&) = default;
__host__ __device__ TanH& operator=(const TanH&) = default;
__host__ __device__ TanH& operator=(TanH&&) = default;
__host__ __device__ ~TanH() = default;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
y = ck::math::tanh(x);
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
y = ck::math::tanh(x);
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
y = ck::math::tanh(x);
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
y = ck::math::tanh(x);
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
y = ck::math::tanh(x);
}
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, ck::half_t>::value || is_same<T, int8_t>::value ||
is_same<T, int32_t>::value,
"Data type is not supported by this operation!");
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
{
y = ck::math::tanh(x);
}
};
};
struct ACos
......@@ -1252,418 +1137,138 @@ struct Rcp
};
};
struct Swish final : public UnaryOpBase
struct Swish
{
__host__ __device__ constexpr Swish(const Swish&) = default;
__host__ __device__ constexpr Swish(Swish&&) = default;
__host__ __device__ ~Swish() = default;
__host__ __device__ Swish(float beta = 1.0f) : beta_(beta) {}
__host__ __device__ float get_beta() const { return beta_; }
const float beta_;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
float bx = -beta_ * type_convert<float>(x);
y = type_convert<float>(x / (1.f + ck::math::exp(bx)));
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
float bx = -beta_ * type_convert<float>(x);
y = type_convert<double>(x / (1.f + ck::math::exp(bx)));
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
float bx = -beta_ * type_convert<float>(x);
y = type_convert<int32_t>(x / (1.f + ck::math::exp(bx)));
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
float bx = -beta_ * type_convert<float>(x);
y = type_convert<int8_t>(x / (1.f + ck::math::exp(bx)));
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
{
float bx = -beta_ * type_convert<float>(x);
y = type_convert<half_t>(x / (1.f + ck::math::exp(bx)));
}
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
{
float bx = -beta_ * type_convert<float>(x);
y = type_convert<bhalf_t>(x / (1.f + ck::math::exp(bx)));
}
Swish(float beta = 1.0f) : beta_(beta) {}
template <typename Y, typename X>
__host__ __device__ void operator()(Y& y, const X& x) const
{
static_assert(is_same<X, float>::value || is_same<X, double>::value ||
is_same<X, half_t>::value,
is_same<X, ck::half_t>::value || is_same<X, int8_t>::value,
"Data type is not supported by this operation!");
static_assert(is_same<Y, float>::value || is_same<Y, double>::value ||
is_same<Y, half_t>::value,
is_same<Y, ck::half_t>::value || is_same<Y, int8_t>::value,
"Data type is not supported by this operation!");
float bx = -beta_ * type_convert<float>(x);
y = type_convert<Y>(x / (1.f + ck::math::exp(bx)));
}
};
const float beta_;
};
struct SoftRelu final : public UnaryOpBase
struct SoftRelu
{
__host__ __device__ constexpr SoftRelu(const SoftRelu&) = default;
__host__ __device__ constexpr SoftRelu(SoftRelu&&) = default;
__host__ __device__ ~SoftRelu() = default;
__host__ __device__ SoftRelu(float alpha = 1.0f) : alpha_(alpha) {}
__host__ __device__ float get_alpha() const { return alpha_; }
SoftRelu(float alpha = 1.f) : alpha_(alpha){};
const float alpha_;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
float casted_alpha = type_convert<float>(alpha_);
constexpr float one = type_convert<float>(1);
y = ck::math::log(one + ck::math::exp(x * casted_alpha)) / casted_alpha;
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
double casted_alpha = type_convert<double>(alpha_);
constexpr double one = type_convert<double>(1);
y = ck::math::log(one + ck::math::exp(x * casted_alpha)) / casted_alpha;
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
int32_t casted_alpha = type_convert<int32_t>(alpha_);
constexpr int32_t one = type_convert<int32_t>(1);
y = ck::math::log(one + ck::math::exp(x * casted_alpha)) / casted_alpha;
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
int8_t casted_alpha = type_convert<int8_t>(alpha_);
constexpr int8_t one = type_convert<int8_t>(1);
y = ck::math::log(one + ck::math::exp(x * casted_alpha)) / casted_alpha;
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
{
half_t casted_alpha = type_convert<half_t>(alpha_);
constexpr half_t one = type_convert<half_t>(1);
y = ck::math::log(one + ck::math::exp(x * casted_alpha)) / casted_alpha;
}
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
bhalf_t casted_alpha = type_convert<bhalf_t>(alpha_);
constexpr bhalf_t one = type_convert<bhalf_t>(1);
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
T casted_alpha = type_convert<T>(alpha_);
constexpr T one = type_convert<T>(1);
y = ck::math::log(one + ck::math::exp(x * casted_alpha)) / casted_alpha;
}
const float alpha_;
};
struct Power final : public UnaryOpBase
struct Power
{
__host__ __device__ constexpr Power(const Power&) = default;
__host__ __device__ constexpr Power(Power&&) = default;
__host__ __device__ ~Power() = default;
Power(float alpha = 0.f, float beta = 1.f, float gamma = 2.f)
: alpha_(alpha), beta_(beta), gamma_(gamma){};
__host__ __device__ Power(float alpha = 0.f, float beta = 1.f, float gamma = 2.f)
: alpha_(alpha), beta_(beta), gamma_(gamma)
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
T casted_alpha = type_convert<T>(alpha_);
T casted_beta = type_convert<T>(beta_);
T casted_gamma = type_convert<T>(gamma_);
T shifted_scaled_x = casted_alpha + casted_beta * x;
y = ck::math::pow(shifted_scaled_x, casted_gamma);
}
__host__ __device__ float get_alpha() const { return alpha_; }
__host__ __device__ float get_beta() const { return beta_; }
__host__ __device__ float get_gamma() const { return gamma_; }
const float alpha_;
const float beta_;
const float gamma_;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
float casted_alpha = type_convert<float>(alpha_);
float casted_beta = type_convert<float>(beta_);
float casted_gamma = type_convert<float>(gamma_);
float shifted_scaled_x = casted_alpha + casted_beta * x;
y = ck::math::pow(shifted_scaled_x, casted_gamma);
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
double casted_alpha = type_convert<double>(alpha_);
double casted_beta = type_convert<double>(beta_);
double casted_gamma = type_convert<double>(gamma_);
double shifted_scaled_x = casted_alpha + casted_beta * x;
y = ck::math::pow(shifted_scaled_x, casted_gamma);
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
int32_t casted_alpha = type_convert<int32_t>(alpha_);
int32_t casted_beta = type_convert<int32_t>(beta_);
int32_t casted_gamma = type_convert<int32_t>(gamma_);
int32_t shifted_scaled_x = casted_alpha + casted_beta * x;
y = ck::math::pow(shifted_scaled_x, casted_gamma);
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
int8_t casted_alpha = type_convert<int8_t>(alpha_);
int8_t casted_beta = type_convert<int8_t>(beta_);
int8_t casted_gamma = type_convert<int8_t>(gamma_);
int8_t shifted_scaled_x = casted_alpha + casted_beta * x;
y = ck::math::pow(shifted_scaled_x, casted_gamma);
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
{
half_t casted_alpha = type_convert<half_t>(alpha_);
half_t casted_beta = type_convert<half_t>(beta_);
half_t casted_gamma = type_convert<half_t>(gamma_);
half_t shifted_scaled_x = casted_alpha + casted_beta * x;
y = ck::math::pow(shifted_scaled_x, casted_gamma);
}
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
{
bhalf_t casted_alpha = type_convert<bhalf_t>(alpha_);
bhalf_t casted_beta = type_convert<bhalf_t>(beta_);
bhalf_t casted_gamma = type_convert<bhalf_t>(gamma_);
bhalf_t shifted_scaled_x = casted_alpha + casted_beta * x;
y = ck::math::pow(shifted_scaled_x, casted_gamma);
}
};
struct ClippedRelu final : public UnaryOpBase
struct ClippedRelu
{
__host__ __device__ constexpr ClippedRelu(const ClippedRelu&) = default;
__host__ __device__ constexpr ClippedRelu(ClippedRelu&&) = default;
__host__ __device__ ~ClippedRelu() = default;
ClippedRelu(float alpha = 0.f, float beta = 1.f) : alpha_(alpha), beta_(beta){};
__host__ __device__ 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
{
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
T casted_alpha = type_convert<T>(alpha_);
T casted_beta = type_convert<T>(beta_);
y = ck::math::min(casted_beta, ck::math::max(casted_alpha, x));
}
__host__ __device__ float get_alpha() const { return alpha_; }
__host__ __device__ float get_beta() const { return beta_; }
const float alpha_;
const float beta_;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
float casted_alpha = type_convert<float>(alpha_);
float casted_beta = type_convert<float>(beta_);
y = ck::math::min(casted_beta, ck::math::max(casted_alpha, x));
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
double casted_alpha = type_convert<double>(alpha_);
double casted_beta = type_convert<double>(beta_);
y = ck::math::min(casted_beta, ck::math::max(casted_alpha, x));
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
int32_t casted_alpha = type_convert<int32_t>(alpha_);
int32_t casted_beta = type_convert<int32_t>(beta_);
y = ck::math::min(casted_beta, ck::math::max(casted_alpha, x));
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
int8_t casted_alpha = type_convert<int8_t>(alpha_);
int8_t casted_beta = type_convert<int8_t>(beta_);
y = ck::math::min(casted_beta, ck::math::max(casted_alpha, x));
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
{
half_t casted_alpha = type_convert<half_t>(alpha_);
half_t casted_beta = type_convert<half_t>(beta_);
y = ck::math::min(casted_beta, ck::math::max(casted_alpha, x));
}
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
{
bhalf_t casted_alpha = type_convert<bhalf_t>(alpha_);
bhalf_t casted_beta = type_convert<bhalf_t>(beta_);
y = ck::math::min(casted_beta, ck::math::max(casted_alpha, x));
}
};
struct LeakyRelu final : public UnaryOpBase
struct LeakyRelu
{
__host__ __device__ constexpr LeakyRelu(const LeakyRelu&) = default;
__host__ __device__ constexpr LeakyRelu(LeakyRelu&&) = default;
__host__ __device__ ~LeakyRelu() = default;
__host__ __device__ LeakyRelu(float alpha = 0.f) : alpha_(alpha) {}
__host__ __device__ float get_alpha() const { return alpha_; }
const float alpha_;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
float casted_alpha = type_convert<float>(alpha_);
y = x >= 0 ? x : x * casted_alpha;
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
double casted_alpha = type_convert<double>(alpha_);
y = x >= 0 ? x : x * casted_alpha;
}
LeakyRelu(float alpha = 0.01f) : alpha_(alpha){};
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
int32_t casted_alpha = type_convert<int32_t>(alpha_);
y = x >= 0 ? x : x * casted_alpha;
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
int8_t casted_alpha = type_convert<int8_t>(alpha_);
y = x >= 0 ? x : x * casted_alpha;
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
half_t casted_alpha = type_convert<half_t>(alpha_);
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
T casted_alpha = type_convert<T>(alpha_);
y = x >= 0 ? x : x * casted_alpha;
}
__host__ __device__ inline void operator()([[maybe_unused]] bhalf_t& y,
[[maybe_unused]] const bhalf_t& x) const final
{
}
const float alpha_;
};
struct Elu final : public UnaryOpBase
struct Elu
{
__host__ __device__ constexpr Elu(const Elu&) = default;
__host__ __device__ constexpr Elu(Elu&&) = default;
__host__ __device__ ~Elu() = default;
__host__ __device__ Elu(float alpha = 1.f) : alpha_(alpha) {}
__host__ __device__ float get_alpha() const { return alpha_; }
const float alpha_;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
float casted_alpha = type_convert<float>(alpha_);
y = x > 0 ? x : casted_alpha * ck::math::expm1(x);
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
double casted_alpha = type_convert<double>(alpha_);
y = x > 0 ? x : casted_alpha * ck::math::expm1(x);
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
int32_t casted_alpha = type_convert<int32_t>(alpha_);
y = x > 0 ? x : casted_alpha * ck::math::expm1(x);
}
Elu(float alpha = 1.f) : alpha_(alpha){};
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
int8_t casted_alpha = type_convert<int8_t>(alpha_);
y = x > 0 ? x : casted_alpha * ck::math::expm1(x);
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
{
half_t casted_alpha = type_convert<half_t>(alpha_);
y = x > 0 ? x : casted_alpha * ck::math::expm1(x);
}
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
bhalf_t casted_alpha = type_convert<bhalf_t>(alpha_);
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
T casted_alpha = type_convert<T>(alpha_);
y = x > 0 ? x : casted_alpha * ck::math::expm1(x);
}
const float alpha_;
};
struct Logistic final : public UnaryOpBase
struct Logistic
{
__host__ __device__ constexpr Logistic(const Logistic&) = default;
__host__ __device__ constexpr Logistic(Logistic&&) = default;
__host__ __device__ ~Logistic() = default;
Logistic(float alpha = 1.f) : alpha_(alpha){};
__host__ __device__ Logistic(float alpha = 1.0f) : alpha_(alpha) {}
__host__ __device__ float get_alpha() const { return alpha_; }
const float alpha_;
__host__ __device__ inline void operator()(float& y, const float& x) const final
{
float casted_alpha = type_convert<float>(alpha_);
constexpr float one = type_convert<float>(1);
y = casted_alpha / (one + ck::math::exp(-x) * casted_alpha);
}
__host__ __device__ inline void operator()(double& y, const double& x) const final
{
double casted_alpha = type_convert<double>(alpha_);
constexpr double one = type_convert<double>(1);
y = casted_alpha / (one + ck::math::exp(-x) * casted_alpha);
}
__host__ __device__ inline void operator()(int32_t& y, const int32_t& x) const final
{
int32_t casted_alpha = type_convert<int32_t>(alpha_);
constexpr int32_t one = type_convert<int32_t>(1);
y = casted_alpha / (one + ck::math::exp(-x) * casted_alpha);
}
__host__ __device__ inline void operator()(int8_t& y, const int8_t& x) const final
{
int8_t casted_alpha = type_convert<int8_t>(alpha_);
constexpr int8_t one = type_convert<int8_t>(1);
y = casted_alpha / (one + ck::math::exp(-x) * casted_alpha);
}
__host__ __device__ inline void operator()(half_t& y, const half_t& x) const final
{
half_t casted_alpha = type_convert<half_t>(alpha_);
constexpr half_t one = type_convert<half_t>(1);
y = casted_alpha / (one + ck::math::exp(-x) * casted_alpha);
}
__host__ __device__ inline void operator()(bhalf_t& y, const bhalf_t& x) const final
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
bhalf_t casted_alpha = type_convert<bhalf_t>(alpha_);
constexpr bhalf_t one = type_convert<bhalf_t>(1);
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
T casted_alpha = type_convert<T>(alpha_);
constexpr T one = type_convert<T>(1);
y = casted_alpha / (one + ck::math::exp(-x) * casted_alpha);
}
const float alpha_;
};
struct ConvInvscale
......@@ -1728,7 +1333,7 @@ struct ConvScaleRelu
__host__ __device__ void operator()<f8_t, float>(f8_t& e, const float& c) const
{
float x;
Relu{}(x, c * scale_in_ * scale_wei_);
Relu{}.template operator()<float>(x, c * scale_in_ * scale_wei_);
e = type_convert<f8_t>(x * scale_out_);
};
......@@ -1809,225 +1414,138 @@ struct FastNumericArrayConverter<uint8_t, ck::half_t, N>
struct DynamicUnaryOp
{
DynamicUnaryOp& operator=(const DynamicUnaryOp& other)
{
if(this != &other)
{
unary_op_ptr_ = other.unary_op_ptr_;
unary_op_type_ = other.unary_op_type_;
}
return *this;
}
__host__ __device__ DynamicUnaryOp() = delete;
__host__ __device__ DynamicUnaryOp(const Swish& swish)
: unary_op_type_(UnaryOpType::Swish), swish_{swish.beta_}
{
unary_op_type_ = UnaryOpType::Swish;
beta = swish.get_beta();
}
__host__ __device__ DynamicUnaryOp(const Swish&& swish)
: unary_op_type_(UnaryOpType::Swish), swish_{swish.beta_}
{
unary_op_type_ = UnaryOpType::Swish;
beta = swish.get_beta();
}
__host__ __device__ DynamicUnaryOp(const Sigmoid&) { unary_op_type_ = UnaryOpType::Sigmoid; }
__host__ __device__ DynamicUnaryOp(const Sigmoid&) : unary_op_type_(UnaryOpType::Sigmoid) {}
__host__ __device__ DynamicUnaryOp(const Sigmoid&&) { unary_op_type_ = UnaryOpType::Sigmoid; }
__host__ __device__ DynamicUnaryOp(const Sigmoid&&) : unary_op_type_(UnaryOpType::Sigmoid) {}
__host__ __device__ DynamicUnaryOp(const PassThrough&)
: unary_op_type_(UnaryOpType::PassThrough)
{
unary_op_type_ = UnaryOpType::PassThrough;
}
__host__ __device__ DynamicUnaryOp(const PassThrough&&)
: unary_op_type_(UnaryOpType::PassThrough)
{
unary_op_type_ = UnaryOpType::PassThrough;
}
__host__ __device__ DynamicUnaryOp(const Logistic& logistic)
: unary_op_type_(UnaryOpType::Logistic), logistic_{logistic.alpha_}
{
unary_op_type_ = UnaryOpType::Logistic;
alpha = logistic.get_alpha();
}
__host__ __device__ DynamicUnaryOp(const Logistic&& logistic)
: unary_op_type_(UnaryOpType::Logistic), logistic_{logistic.alpha_}
{
unary_op_type_ = UnaryOpType::Logistic;
alpha = logistic.get_alpha();
}
__host__ __device__ DynamicUnaryOp(const TanH&) { unary_op_type_ = UnaryOpType::TanH; }
__host__ __device__ DynamicUnaryOp(const TanH&) : unary_op_type_(UnaryOpType::TanH) {}
__host__ __device__ DynamicUnaryOp(const TanH&&) { unary_op_type_ = UnaryOpType::TanH; }
__host__ __device__ DynamicUnaryOp(const TanH&&) : unary_op_type_(UnaryOpType::TanH) {}
__host__ __device__ DynamicUnaryOp(const Relu&) { unary_op_type_ = UnaryOpType::Relu; }
__host__ __device__ DynamicUnaryOp(const Relu&) : unary_op_type_(UnaryOpType::Relu) {}
__host__ __device__ DynamicUnaryOp(const Relu&&) { unary_op_type_ = UnaryOpType::Relu; }
__host__ __device__ DynamicUnaryOp(const Relu&&) : unary_op_type_(UnaryOpType::Relu) {}
__host__ __device__ DynamicUnaryOp(const SoftRelu& softrelu)
: unary_op_type_(UnaryOpType::SoftRelu), soft_relu_{softrelu.alpha_}
{
unary_op_type_ = UnaryOpType::SoftRelu;
alpha = softrelu.get_alpha();
}
__host__ __device__ DynamicUnaryOp(const SoftRelu&& softrelu)
: unary_op_type_(UnaryOpType::SoftRelu), soft_relu_{softrelu.alpha_}
{
unary_op_type_ = UnaryOpType::SoftRelu;
alpha = softrelu.get_alpha();
}
__host__ __device__ DynamicUnaryOp(const UnaryAbs&) { unary_op_type_ = UnaryOpType::UnaryAbs; }
__host__ __device__ DynamicUnaryOp(const UnaryAbs&) : unary_op_type_(UnaryOpType::UnaryAbs) {}
__host__ __device__ DynamicUnaryOp(const UnaryAbs&&) { unary_op_type_ = UnaryOpType::UnaryAbs; }
__host__ __device__ DynamicUnaryOp(const UnaryAbs&&) : unary_op_type_(UnaryOpType::UnaryAbs) {}
__host__ __device__ DynamicUnaryOp(const Power& pow)
: unary_op_type_(UnaryOpType::Power), power_(pow.alpha_, pow.beta_, pow.gamma_)
{
unary_op_type_ = UnaryOpType::Power;
alpha = pow.get_alpha();
beta = pow.get_beta();
gamma = pow.get_gamma();
}
__host__ __device__ DynamicUnaryOp(const Power&& pow)
: unary_op_type_(UnaryOpType::Power), power_(pow.alpha_, pow.beta_, pow.gamma_)
{
unary_op_type_ = UnaryOpType::Power;
alpha = pow.get_alpha();
beta = pow.get_beta();
gamma = pow.get_gamma();
}
__host__ __device__ DynamicUnaryOp(const ClippedRelu& clippedrelu)
: unary_op_type_(UnaryOpType::ClippedRelu),
clipped_relu_{clippedrelu.alpha_, clippedrelu.beta_}
{
unary_op_type_ = UnaryOpType::ClippedRelu;
alpha = clippedrelu.get_alpha();
beta = clippedrelu.get_beta();
}
__host__ __device__ DynamicUnaryOp(const ClippedRelu&& clippedrelu)
: unary_op_type_(UnaryOpType::ClippedRelu),
clipped_relu_{clippedrelu.alpha_, clippedrelu.beta_}
{
unary_op_type_ = UnaryOpType::ClippedRelu;
alpha = clippedrelu.get_alpha();
beta = clippedrelu.get_beta();
}
__host__ __device__ DynamicUnaryOp(const LeakyRelu& leakyrelu)
: unary_op_type_(UnaryOpType::LeakyRelu), leaky_relu_{leakyrelu.alpha_}
{
unary_op_type_ = UnaryOpType::LeakyRelu;
alpha = leakyrelu.get_alpha();
}
__host__ __device__ DynamicUnaryOp(const LeakyRelu&& leakyrelu)
: unary_op_type_(UnaryOpType::LeakyRelu), leaky_relu_{leakyrelu.alpha_}
{
unary_op_type_ = UnaryOpType::LeakyRelu;
alpha = leakyrelu.get_alpha();
}
__host__ __device__ DynamicUnaryOp(const Elu& elu)
: unary_op_type_(UnaryOpType::Elu), elu_{elu.alpha_}
{
unary_op_type_ = UnaryOpType::Elu;
alpha = elu.get_alpha();
}
__host__ __device__ DynamicUnaryOp(const Elu&& elu)
: unary_op_type_(UnaryOpType::Elu), elu_{elu.alpha_}
{
unary_op_type_ = UnaryOpType::Elu;
alpha = elu.get_alpha();
}
__host__ __device__ DynamicUnaryOp(const DynamicUnaryOp& dynamic_op)
: unary_op_type_(dynamic_op.unary_op_type_),
unary_op_ptr_(dynamic_op.unary_op_ptr_),
alpha(dynamic_op.alpha),
beta(dynamic_op.beta),
gamma(dynamic_op.gamma)
{
}
__host__ __device__ DynamicUnaryOp(const DynamicUnaryOp& dynamic_op) = default;
__host__ __device__ ~DynamicUnaryOp()
{
switch(unary_op_type_)
{
case(UnaryOpType::Swish): delete static_cast<Swish*>(unary_op_ptr_); break;
case(UnaryOpType::Sigmoid): delete static_cast<Sigmoid*>(unary_op_ptr_); break;
case(UnaryOpType::PassThrough): delete static_cast<PassThrough*>(unary_op_ptr_); break;
case(UnaryOpType::Logistic): delete static_cast<Logistic*>(unary_op_ptr_); break;
case(UnaryOpType::TanH): delete static_cast<TanH*>(unary_op_ptr_); break;
case(UnaryOpType::Relu): delete static_cast<Relu*>(unary_op_ptr_); break;
case(UnaryOpType::SoftRelu): delete static_cast<SoftRelu*>(unary_op_ptr_); break;
case(UnaryOpType::UnaryAbs): delete static_cast<UnaryAbs*>(unary_op_ptr_); break;
case(UnaryOpType::Power): delete static_cast<Power*>(unary_op_ptr_); break;
case(UnaryOpType::ClippedRelu): delete static_cast<ClippedRelu*>(unary_op_ptr_); break;
case(UnaryOpType::LeakyRelu): delete static_cast<LeakyRelu*>(unary_op_ptr_); break;
case(UnaryOpType::Elu): delete static_cast<Elu*>(unary_op_ptr_); break;
default: break;
}
}
__device__ void InitUnaryOpPtrOnDevice()
{
switch(unary_op_type_)
{
case(UnaryOpType::Swish): unary_op_ptr_ = new Swish(beta); break;
case(UnaryOpType::Sigmoid): unary_op_ptr_ = new Sigmoid; break;
case(UnaryOpType::PassThrough): unary_op_ptr_ = new PassThrough; break;
case(UnaryOpType::Logistic): unary_op_ptr_ = new Logistic(alpha); break;
case(UnaryOpType::TanH): unary_op_ptr_ = new TanH; break;
case(UnaryOpType::Relu): unary_op_ptr_ = new Relu; break;
case(UnaryOpType::SoftRelu): unary_op_ptr_ = new SoftRelu(alpha); break;
case(UnaryOpType::UnaryAbs): unary_op_ptr_ = new UnaryAbs; break;
case(UnaryOpType::Power): unary_op_ptr_ = new Power(alpha, beta, gamma); break;
case(UnaryOpType::ClippedRelu): unary_op_ptr_ = new ClippedRelu(alpha, beta); break;
case(UnaryOpType::LeakyRelu): unary_op_ptr_ = new LeakyRelu(alpha); break;
case(UnaryOpType::Elu): unary_op_ptr_ = new Elu(alpha); break;
default: unary_op_ptr_ = nullptr; break;
}
}
__host__ __device__ ~DynamicUnaryOp() {}
template <typename Y, typename X>
__device__ void operator()(Y& y, const X& x) const
{
isSupported<X, Y>();
unary_op_ptr_->operator()(y, x);
}
template <typename Y, typename X>
__host__ void operator()(Y& y, const X& x) const
__host__ __device__ void operator()(Y& y, const X& x) const
{
isSupported<X, Y>();
switch(unary_op_type_)
{
case(UnaryOpType::Swish): Swish{}.operator()(y, x); break;
case(UnaryOpType::Sigmoid): Sigmoid{}.operator()(y, x); break;
case(UnaryOpType::PassThrough): PassThrough{}.operator()(y, x); break;
case(UnaryOpType::Logistic): Logistic{}.operator()(y, x); break;
case(UnaryOpType::TanH): TanH{}.operator()(y, x); break;
case(UnaryOpType::Relu): Relu{}.operator()(y, x); break;
case(UnaryOpType::SoftRelu): SoftRelu{}.operator()(y, x); break;
case(UnaryOpType::UnaryAbs): UnaryAbs{}.operator()(y, x); break;
case(UnaryOpType::Power): Power{}.operator()(y, x); break;
case(UnaryOpType::ClippedRelu): ClippedRelu{}.operator()(y, x); break;
case(UnaryOpType::LeakyRelu): LeakyRelu{}.operator()(y, x); break;
case(UnaryOpType::Elu): Elu{}.operator()(y, x); break;
case(UnaryOpType::Swish): swish_(y, x); break;
case(UnaryOpType::Sigmoid): sigmoid_(y, x); break;
case(UnaryOpType::PassThrough): pass_through_(y, x); break;
case(UnaryOpType::Logistic): logistic_(y, x); break;
case(UnaryOpType::TanH): tanh_(y, x); break;
case(UnaryOpType::Relu): relu_(y, x); break;
case(UnaryOpType::SoftRelu): soft_relu_(y, x); break;
case(UnaryOpType::UnaryAbs): unary_abs_(y, x); break;
case(UnaryOpType::Power): power_(y, x); break;
case(UnaryOpType::ClippedRelu): clipped_relu_(y, x); break;
case(UnaryOpType::LeakyRelu): leaky_relu_(y, x); break;
case(UnaryOpType::Elu): elu_(y, x); break;
default: break;
}
}
template <typename X, typename Y>
__device__ __host__ constexpr void isSupported() const
template <>
__host__ __device__ void operator()<bhalf_t, bhalf_t>(bhalf_t& y, const bhalf_t& x) const
{
static_assert(std::is_same<X, Y>::value, "X and Y must be of the same type");
static_assert(is_same<X, float>::value || is_same<X, double>::value ||
is_same<X, bhalf_t>::value || is_same<X, half_t>::value ||
is_same<X, int32_t>::value || is_same<X, int8_t>::value,
"Data type is not supported by this operation!");
float y_float;
float x_float = type_convert<float>(x);
this->operator()(y_float, x_float);
y = type_convert<bhalf_t>(y_float);
}
private:
......@@ -2049,12 +1567,20 @@ struct DynamicUnaryOp
public:
UnaryOpType unary_op_type_;
UnaryOpBase* unary_op_ptr_ = nullptr;
float alpha;
float beta;
float gamma;
Swish swish_;
Sigmoid sigmoid_;
PassThrough pass_through_;
Logistic logistic_;
TanH tanh_;
Relu relu_;
SoftRelu soft_relu_;
UnaryAbs unary_abs_;
Power power_;
ClippedRelu clipped_relu_;
LeakyRelu leaky_relu_;
Elu elu_;
};
#pragma clang diagnostic pop
} // namespace element_wise
} // namespace tensor_operation
......
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