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"...resnet50_tensorflow.git" did not exist on "80dcd27c150d327eb26131e96b7fd48c40ed1803"
Commit fbc576b5 authored by aska-0096's avatar aska-0096
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Merge branch 'develop' of... 

Merge branch 'develop' of https://github.com/ROCmSoftwarePlatform/composable_kernel into lds_bypass_spilling
parents d4adc71a 8f455615
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Showing with 1924 additions and 86 deletions
include/ck/ck.hpp
View file @ fbc576b5
...@@ -168,6 +168,9 @@ ...@@ -168,6 +168,9 @@
// tuning parameter // tuning parameter
#define CK_WORKAROUND_SWDEV_325164 0 #define CK_WORKAROUND_SWDEV_325164 0
// workaround: compiler not emiting reciprocal instruction frm __frcp_rn()
#define CK_WORKAROUND_SWDEV_383542 1
// flag to enable (1) or disable (0) the debugging output in some kernels // flag to enable (1) or disable (0) the debugging output in some kernels
#define DEBUG_LOG 0 #define DEBUG_LOG 0
......
include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_permute_xdl_cshuffle.hpp
View file @ fbc576b5
...@@ -111,6 +111,7 @@ __global__ void ...@@ -111,6 +111,7 @@ __global__ void
ignore = p_b_grid; ignore = p_b_grid;
ignore = p_b1_grid; ignore = p_b1_grid;
ignore = p_c_grid; ignore = p_c_grid;
ignore = p_d0s_grid;
ignore = a_element_op; ignore = a_element_op;
ignore = b_element_op; ignore = b_element_op;
ignore = c0de_element_op; ignore = c0de_element_op;
......
include/ck/tensor_operation/gpu/device/impl/device_contraction_multiple_d_xdl_cshuffle.hpp
View file @ fbc576b5
...@@ -586,6 +586,11 @@ struct DeviceContractionMultipleD_Xdl_CShuffle ...@@ -586,6 +586,11 @@ struct DeviceContractionMultipleD_Xdl_CShuffle
return false; return false;
} }
if(ck::get_device_name() != "gfx90a" && std::is_same<ADataType, double>::value)
{
return false;
}
if(!GridwiseGemm::CheckValidity(arg.a_grid_desc_m_k_, if(!GridwiseGemm::CheckValidity(arg.a_grid_desc_m_k_,
arg.b_grid_desc_n_k_, arg.b_grid_desc_n_k_,
arg.ds_grid_desc_m_n_, arg.ds_grid_desc_m_n_,
......
include/ck/tensor_operation/gpu/element/binary_element_wise_operation.hpp
View file @ fbc576b5
...@@ -4,6 +4,7 @@ ...@@ -4,6 +4,7 @@
#pragma once #pragma once
#include "ck/utility/data_type.hpp" #include "ck/utility/data_type.hpp"
#include "ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp"
namespace ck { namespace ck {
namespace tensor_operation { namespace tensor_operation {
...@@ -280,43 +281,42 @@ struct AddHardswish ...@@ -280,43 +281,42 @@ struct AddHardswish
}; };
}; };
// C = A * B
// E = FastGelu(C + D) // E = FastGelu(C + D)
struct AddFastGelu struct AddFastGelu
{ {
// Fast GeLU
// https://paperswithcode.com/method/gelu
// y = 0.5*x*(1+tanh(sqrt(2/pi)*(x+0.044715*x^3)))
__host__ __device__ static constexpr float GetFastGeLU(float x)
{
const float u = 2.f * x * (0.035677f * x * x + 0.797885f);
const float emu = exp(-u);
const float cdf = 0.5f + 0.5f * (2.f / (1.f + emu) - 1.f);
return x * cdf;
}
template <typename T>
static inline constexpr bool is_valid_param_type_v =
std::is_same_v<T, float> || std::is_same_v<T, half_t> || std::is_same_v<T, bhalf_t> ||
std::is_same_v<T, int32_t> || std::is_same_v<T, int8_t>;
template <typename E, typename C, typename D> template <typename E, typename C, typename D>
__host__ __device__ constexpr void operator()(E& e, const C& c, const D& d) const __host__ __device__ constexpr void operator()(E& e, const C& c, const D& d) const;
template <>
__host__ __device__ constexpr void
operator()<float, float, float>(float& e, const float& c, const float& d) const
{ {
static_assert(is_valid_param_type_v<E> && is_valid_param_type_v<C> && const float x = c + d;
is_valid_param_type_v<D>);
FastGelu{}.template operator()<float, float>(e, x);
}
const float y = GetFastGeLU(type_convert<float>(c) + type_convert<float>(d)); template <>
__host__ __device__ constexpr void
operator()<half_t, half_t, half_t>(half_t& e, const half_t& c, const half_t& d) const
{
const half_t x = c + d;
e = type_convert<E>(y); ck::tensor_operation::element_wise::FastGelu{}.template operator()<half_t, half_t>(e, x);
} }
template <typename D> template <>
__host__ __device__ constexpr void operator()(float& e, const float& c, const D& d) const __host__ __device__ constexpr void
operator()<half_t, float, half_t>(half_t& e, const float& c, const half_t& d) const
{ {
static_assert(is_valid_param_type_v<D>); const float x0_f = c + d;
float x1_f = 0;
ck::tensor_operation::element_wise::FastGelu{}.template operator()<float, float>(x1_f,
x0_f);
e = GetFastGeLU(c + type_convert<float>(d)); e = type_convert<half_t>(x1_f);
} }
}; };
......
include/ck/tensor_operation/gpu/element/element_wise_operation.hpp
View file @ fbc576b5
...@@ -16,7 +16,7 @@ namespace element_wise { ...@@ -16,7 +16,7 @@ namespace element_wise {
// Need to ensure compiler will fail if there is no matching candidate, instead of compiler // Need to ensure compiler will fail if there is no matching candidate, instead of compiler
// siliently do implicit type conversion // siliently do implicit type conversion
// //
// Method 1: // Example:
// //
// struct ExampleElementwiseOp // struct ExampleElementwiseOp
// { // {
...@@ -30,19 +30,6 @@ namespace element_wise { ...@@ -30,19 +30,6 @@ namespace element_wise {
// { // {
// } // }
// }; // };
//
// Method 2:
//
// template <typename Y, typename X>
// struct ExampleElementwiseOp;
//
// template <>
// struct ExampleElementwiseOp<float, ck::bhalf_t>
// {
// __host__ __device__ void operator()(float& y, ck::bhalf_t& x) const
// {
// }
// };
struct AddReluAdd struct AddReluAdd
{ {
...@@ -208,41 +195,74 @@ struct AddMultiply ...@@ -208,41 +195,74 @@ struct AddMultiply
} }
}; };
// C = A * B
// E = FastGelu(C + D0 + D1) // E = FastGelu(C + D0 + D1)
struct AddAddFastGelu struct AddAddFastGelu
{ {
// Fast GeLU template <typename E, typename C, typename D0, typename D1>
// https://paperswithcode.com/method/gelu __host__ __device__ constexpr void
// y = 0.5*x*(1+tanh(sqrt(2/pi)*(x+0.044715*x^3))) operator()(E& e, const C& c, const D0& d0, const D1& d1) const;
__host__ __device__ static constexpr float GetFastGeLU(float x)
template <>
__host__ __device__ constexpr void operator()<float, float, float, float>(float& e,
const float& c,
const float& d0,
const float& d1) const
{ {
const float u = 2.f * x * (0.035677f * x * x + 0.797885f); const float x = c + d0 + d1;
const float emu = exp(-u);
const float cdf = 0.5f + 0.5f * (2.f / (1.f + emu) - 1.f); FastGelu{}.template operator()<float, float>(e, x);
return x * cdf;
} }
template <typename T> template <>
static inline constexpr bool is_valid_param_type_v = __host__ __device__ constexpr void operator()<half_t, half_t, half_t, half_t>(
std::is_same_v<T, float> || std::is_same_v<T, half_t> || std::is_same_v<T, bhalf_t> || half_t& e, const half_t& c, const half_t& d0, const half_t& d1) const
std::is_same_v<T, int32_t> || std::is_same_v<T, int8_t> {
#ifdef CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4 const half_t x = c + d0 + d1;
|| std::is_same_v<T, ck::int4_t>
#endif
;
template <typename E, typename C, typename D0, typename D1> ck::tensor_operation::element_wise::FastGelu{}.template operator()<half_t, half_t>(e, x);
__host__ __device__ constexpr void }
operator()(E& e, const C& c, const D0& d0, const D1& d1) const
template <>
__host__ __device__ constexpr void operator()<half_t, float, half_t, half_t>(
half_t& e, const float& c, const half_t& d0, const half_t& d1) const
{ {
static_assert(is_valid_param_type_v<E> && is_valid_param_type_v<C> && const float x0_f = c + d0 + d1;
is_valid_param_type_v<D0> && is_valid_param_type_v<D1>);
float x1_f = 0;
ck::tensor_operation::element_wise::FastGelu{}.template operator()<float, float>(x1_f,
x0_f);
e = type_convert<half_t>(x1_f);
}
template <>
__host__ __device__ constexpr void operator()<bhalf_t, float, bhalf_t, bhalf_t>(
bhalf_t& e, const float& c, const bhalf_t& d0, const bhalf_t& d1) const
{
const float x0_f = c + type_convert<float>(d0) + type_convert<float>(d1);
float x1_f = 0;
ck::tensor_operation::element_wise::FastGelu{}.template operator()<float, float>(x1_f,
x0_f);
e = type_convert<bhalf_t>(x1_f);
}
template <>
__host__ __device__ constexpr void operator()<int8_t, int32_t, int8_t, int8_t>(
int8_t& e, const int32_t& c, const int8_t& d0, const int8_t& d1) const
{
const float x0_f =
type_convert<float>(c) + type_convert<float>(d0) + type_convert<float>(d1);
float x1_f = 0;
const float y = ck::tensor_operation::element_wise::FastGelu{}.template operator()<float, float>(x1_f,
GetFastGeLU(type_convert<float>(c) + type_convert<float>(d0) + type_convert<float>(d1)); x0_f);
e = type_convert<E>(y); e = type_convert<int8_t>(x1_f);
} }
}; };
......
include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp
View file @ fbc576b5
...@@ -11,6 +11,10 @@ namespace ck { ...@@ -11,6 +11,10 @@ namespace ck {
namespace tensor_operation { namespace tensor_operation {
namespace element_wise { namespace element_wise {
#if CK_WORKAROUND_SWDEV_383542
extern "C" __device__ float __ocml_native_recip_f32(float);
#endif
struct PassThrough struct PassThrough
{ {
template <typename Y, typename X> template <typename Y, typename X>
...@@ -200,36 +204,83 @@ struct Relu ...@@ -200,36 +204,83 @@ struct Relu
} }
}; };
// Y = FastGelu(X) // Fast GeLU
// https://paperswithcode.com/method/gelu
// y = 0.5*x*(1+tanh(sqrt(2/pi)*(x+0.044715*x^3)))
// host code use higher accuracy "exp" and "div"
// gpu code use lower accuracy "__expf" and "rcp" function
struct FastGelu struct FastGelu
{ {
// Fast GeLU template <typename Y, typename X>
// https://paperswithcode.com/method/gelu __host__ void operator()(Y& y, const X& x) const;
// y = 0.5*x*(1+tanh(sqrt(2/pi)*(x+0.044715*x^3)))
__host__ __device__ static constexpr float GetFastGeLU(float x) template <typename Y, typename X>
__device__ void operator()(Y& y, const X& x) const;
template <>
__host__ void operator()<float, float>(float& y, const float& x) const
{ {
const float u = 2.f * x * (0.035677f * x * x + 0.797885f); const float u = 2.f * x * (0.035677f * x * x + 0.797885f);
const float emu = exp(-u); const float emu = exp(-u);
const float cdf = 0.5f + 0.5f * (2.f / (1.f + emu) - 1.f); const float cdf = 0.5f + 0.5f * (2.f / (1.f + emu) - 1.f);
return x * cdf;
y = x * cdf;
} }
template <typename T> // device code, use lower precision "__expf" and "rcp"
static inline constexpr bool is_valid_param_type_v = template <>
std::is_same_v<T, float> || std::is_same_v<T, half_t> || std::is_same_v<T, bhalf_t> || __device__ void operator()<float, float>(float& y, const float& x) const
std::is_same_v<T, int32_t> || std::is_same_v<T, int8_t> {
#ifdef CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4 const float u = 2.f * x * (0.035677f * x * x + 0.797885f);
|| std::is_same_v<T, ck::int4_t> const float emu = __expf(-u);
#if !CK_WORKAROUND_SWDEV_383542
const float cdf = 0.5f + 0.5f * (2.f * __frcp_rn(1.f + emu) - 1.f);
#else
const float cdf = 0.5f + 0.5f * (2.f * __ocml_native_recip_f32(1.f + emu) - 1.f);
#endif #endif
;
template <typename Y, typename X> y = x * cdf;
__host__ __device__ void operator()(Y& y, const X& x) const }
template <>
__host__ void operator()<half_t, half_t>(half_t& y, const half_t& x) const
{ {
static_assert(is_valid_param_type_v<Y> && is_valid_param_type_v<X>); float y_f;
this->operator()<float, float>(y_f, type_convert<float>(x));
y = type_convert<half_t>(y_f);
}
template <>
__device__ void operator()<half_t, half_t>(half_t& y, const half_t& x) const
{
float y_f;
this->operator()<float, float>(y_f, type_convert<float>(x));
y = type_convert<half_t>(y_f);
}
template <>
__host__ void operator()<half_t, float>(half_t& y, const float& x) const
{
float y_f;
this->operator()<float, float>(y_f, x);
y = type_convert<half_t>(y_f);
}
template <>
__device__ void operator()<half_t, float>(half_t& y, const float& x) const
{
float y_f;
this->operator()<float, float>(y_f, x);
const float tmp_y = GetFastGeLU(type_convert<float>(x)); y = type_convert<half_t>(y_f);
y = type_convert<Y>(tmp_y);
} }
}; };
......
script/cmake-ck-dev.sh
View file @ fbc576b5
...@@ -10,8 +10,8 @@ cmake ...@@ -10,8 +10,8 @@ cmake
-D CMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc \ -D CMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc \
-D CMAKE_CXX_FLAGS="-O3 -ftemplate-backtrace-limit=0 -gline-tables-only -save-temps=$PWD" \ -D CMAKE_CXX_FLAGS="-O3 -ftemplate-backtrace-limit=0 -gline-tables-only -save-temps=$PWD" \
-D CMAKE_BUILD_TYPE=Release \ -D CMAKE_BUILD_TYPE=Release \
-D BUILD_DEV=OFF \ -D BUILD_DEV=ON \
-D GPU_TARGETS="gfx90a" \ -D GPU_TARGETS="gfx908;gfx90a" \
-D CMAKE_VERBOSE_MAKEFILE:BOOL=ON \ -D CMAKE_VERBOSE_MAKEFILE:BOOL=ON \
-D USE_BITINT_EXTENSION_INT4=OFF \ -D USE_BITINT_EXTENSION_INT4=OFF \
${MY_PROJECT_SOURCE} ${MY_PROJECT_SOURCE}
......
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