Files
composable_kernel/include/ck/utility/math.hpp
Anthony Chang 93c99f3d87 Standalone sweep once softmax kernel w/ ckProfiler (#295)
* use 'sweep once' softmax kernel where applicable

* threadwise copy's dst buffer can specify invalid element value

* add int8 in/out float compute softmax support

give a bit of leeway for int absolute tolerance as there's a single data point of all test cases showing off-by-1 error

* format

* softmax inherits DeviceNormalization

* softmax profiler stub

* tighten up reference softmax interface

* example prints tensor dimension

* add fp32 to softmax profiler

* rename header

* hook with ckProfiler

* format

* resolve merge conflict

* resolve merge conflicts

* update normalization profiler help string

* resolve conflict

* typo

* remove residual

* softmax profiler: address feedback

* test for mixed precision input/output

* fully qualify ck::math::isnan

* add comment for device normalization interface

* revise wording

* constness for alpha/beta scaler pointer
2022-06-30 12:08:50 -05:00

235 lines
4.6 KiB
C++

// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/ck.hpp"
#include "integral_constant.hpp"
#include "number.hpp"
#include "type.hpp"
#include "enable_if.hpp"
namespace ck {
namespace math {
template <typename T, T s>
struct scales
{
__host__ __device__ constexpr T operator()(T a) const { return s * a; }
};
template <typename T>
struct plus
{
__host__ __device__ constexpr T operator()(T a, T b) const { return a + b; }
};
template <typename T>
struct minus
{
__host__ __device__ constexpr T operator()(T a, T b) const { return a - b; }
};
struct multiplies
{
template <typename A, typename B>
__host__ __device__ constexpr auto operator()(const A& a, const B& b) const
{
return a * b;
}
};
template <typename T>
struct maximize
{
__host__ __device__ constexpr T operator()(T a, T b) const { return a >= b ? a : b; }
};
template <typename T>
struct minimize
{
__host__ __device__ constexpr T operator()(T a, T b) const { return a <= b ? a : b; }
};
template <typename T>
struct integer_divide_ceiler
{
__host__ __device__ constexpr T operator()(T a, T b) const
{
static_assert(is_same<T, index_t>{} || is_same<T, int>{}, "wrong type");
return (a + b - Number<1>{}) / b;
}
};
template <typename X, typename Y>
__host__ __device__ constexpr auto integer_divide_floor(X x, Y y)
{
return x / y;
}
template <typename X, typename Y>
__host__ __device__ constexpr auto integer_divide_ceil(X x, Y y)
{
return (x + y - Number<1>{}) / y;
}
template <typename X, typename Y>
__host__ __device__ constexpr auto integer_least_multiple(X x, Y y)
{
return y * integer_divide_ceil(x, y);
}
template <typename T>
__host__ __device__ constexpr T max(T x)
{
return x;
}
template <typename T>
__host__ __device__ constexpr T max(T x, T y)
{
return x > y ? x : y;
}
template <index_t X>
__host__ __device__ constexpr index_t max(Number<X>, index_t y)
{
return X > y ? X : y;
}
template <index_t Y>
__host__ __device__ constexpr index_t max(index_t x, Number<Y>)
{
return x > Y ? x : Y;
}
template <typename X, typename... Ys>
__host__ __device__ constexpr auto max(X x, Ys... ys)
{
static_assert(sizeof...(Ys) > 0, "not enough argument");
return max(x, max(ys...));
}
template <typename T>
__host__ __device__ constexpr T min(T x)
{
return x;
}
template <typename T>
__host__ __device__ constexpr T min(T x, T y)
{
return x < y ? x : y;
}
template <index_t X>
__host__ __device__ constexpr index_t min(Number<X>, index_t y)
{
return X < y ? X : y;
}
template <index_t Y>
__host__ __device__ constexpr index_t min(index_t x, Number<Y>)
{
return x < Y ? x : Y;
}
template <typename X, typename... Ys>
__host__ __device__ constexpr auto min(X x, Ys... ys)
{
static_assert(sizeof...(Ys) > 0, "not enough argument");
return min(x, min(ys...));
}
// disallow implicit type casting
template <typename T>
__device__ T exp(T x);
// TODO: add f16 support using v_exp_f16
template <>
__device__ float exp<float>(float x)
{
return __expf(x);
}
template <>
__device__ double exp<double>(double x)
{
return exp(x);
}
// greatest common divisor, aka highest common factor
__host__ __device__ constexpr index_t gcd(index_t x, index_t y)
{
if(x < 0)
{
return gcd(-x, y);
}
else if(y < 0)
{
return gcd(x, -y);
}
else if(x == y || x == 0)
{
return y;
}
else if(y == 0)
{
return x;
}
else if(x > y)
{
return gcd(x % y, y);
}
else
{
return gcd(x, y % x);
}
}
template <index_t X, index_t Y>
__host__ __device__ constexpr auto gcd(Number<X>, Number<Y>)
{
constexpr auto r = gcd(X, Y);
return Number<r>{};
}
template <typename X, typename... Ys, typename enable_if<sizeof...(Ys) >= 2, bool>::type = false>
__host__ __device__ constexpr auto gcd(X x, Ys... ys)
{
return gcd(x, gcd(ys...));
}
// least common multiple
template <typename X, typename Y>
__host__ __device__ constexpr auto lcm(X x, Y y)
{
return (x * y) / gcd(x, y);
}
template <typename X, typename... Ys, typename enable_if<sizeof...(Ys) >= 2, bool>::type = false>
__host__ __device__ constexpr auto lcm(X x, Ys... ys)
{
return lcm(x, lcm(ys...));
}
template <typename T>
struct equal
{
__host__ __device__ constexpr bool operator()(T x, T y) const { return x == y; }
};
template <typename T>
struct less
{
__host__ __device__ constexpr bool operator()(T x, T y) const { return x < y; }
};
} // namespace math
} // namespace ck