Skip to content

GitLab

"magic_pdf/git@developer.sourcefind.cn:wangsen/mineru.git" did not exist on "0dbbf9c362b1a1de7d351a8a3aa573c7c0cc62b8"
Commit 23b959b2 authored by Astha Rai's avatar Astha Rai
Browse files

resolved issues with standard headers in device files: device_base and... 

resolved issues with standard headers in device files: device_base and device_grouped_conv_fwd_multiple_abd
parent 7d9969ab
Hide whitespace changes
Inline Side-by-side
Showing with 83 additions and 63 deletions
include/ck/tensor_operation/gpu/device/convolution_forward_specialization.hpp
View file @ 23b959b2
......@@ -3,7 +3,9 @@
#pragma once
#ifndef CK_CODE_GEN_RTC
#include <string>
#endif
namespace ck {
namespace tensor_operation {
......@@ -18,6 +20,7 @@ enum struct ConvolutionForwardSpecialization
Filter3x3,
};
#ifndef CK_CODE_GEN_RTC
inline std::string getConvForwardSpecializationString(const ConvolutionForwardSpecialization& s)
{
switch(s)
......@@ -30,6 +33,7 @@ inline std::string getConvForwardSpecializationString(const ConvolutionForwardSp
default: return "Unrecognized specialization!";
}
}
#endif
} // namespace device
} // namespace tensor_operation
......
include/ck/tensor_operation/gpu/device/gemm_specialization.hpp
View file @ 23b959b2
......@@ -29,6 +29,7 @@ enum struct GemmSpecialization
MNKOPadding,
};
#ifndef CK_CODE_GEN_RTC
inline std::string getGemmSpecializationString(const GemmSpecialization& s)
{
switch(s)
......@@ -52,6 +53,7 @@ inline std::string getGemmSpecializationString(const GemmSpecialization& s)
default: return "Unrecognized specialization!";
}
}
#endif
} // namespace device
} // namespace tensor_operation
......
include/ck/tensor_operation/gpu/device/impl/codegen_device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp
View file @ 23b959b2
......@@ -20,13 +20,13 @@
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/convolution_forward_specialization.hpp"
#include "ck/tensor_operation/operator_transform/transform_conv_fwd_to_gemm.hpp"
#include "ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_abd.hpp"
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
#include "ck/tensor_operation/gpu/device/matrix_padder.hpp"
#include "ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_abd.hpp"
#include "ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_cshuffle.hpp"
#include "ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_abd_xdl_cshuffle.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_utils.hpp"
#include "ck/host_utility/io.hpp"
//#include "ck/host_utility/io.hpp"
namespace ck {
namespace tensor_operation {
......
include/ck/tensor_operation/operator_transform/transform_conv_fwd_to_gemm.hpp
View file @ 23b959b2
......@@ -148,8 +148,8 @@ struct TransformConvFwdToGemm
template <typename ConvDimsType,
typename ConvSpatialDimsType,
index_t NDim = NDimSpatial,
typename std::enable_if<NDim == 1, bool>::type = false>
index_t NDim = NDimSpatial,
typename ck::enable_if<NDim == 1, bool>::type = false>
__host__ __device__ TransformConvFwdToGemm(const ConvDimsType& a_g_n_c_wis_lengths,
const ConvDimsType& a_g_n_c_wis_strides,
const ConvDimsType& b_g_k_c_xs_lengths,
......@@ -201,11 +201,15 @@ struct TransformConvFwdToGemm
InRightPadW_{input_right_pads[I0]},
ZYX_{X_}
{
#ifdef CK_CODE_GEN_RTC
static_assert(is_same_v<ConvSpatialDimsType, ck::Array<IndexType, NDimSpatial>>);
static_assert(is_same_v<ConvDimsType, ck::Array<IndexType, NDimSpatial + I3>>);
#else
static_assert(is_same_v<ConvSpatialDimsType, std::array<IndexType, NDimSpatial>> ||
is_same_v<ConvSpatialDimsType, ck::Array<IndexType, NDimSpatial>>);
static_assert(is_same_v<ConvDimsType, std::array<IndexType, NDimSpatial + I3>> ||
is_same_v<ConvDimsType, ck::Array<IndexType, NDimSpatial + I3>>);
#endif
if constexpr(SplitN)
{
N_ = GetSplitedNSize(
......@@ -219,8 +223,8 @@ struct TransformConvFwdToGemm
template <typename ConvDimsType,
typename ConvSpatialDimsType,
index_t NDim = NDimSpatial,
typename std::enable_if<NDim == 2, bool>::type = false>
index_t NDim = NDimSpatial,
typename ck::enable_if<NDim == 2, bool>::type = false>
__host__ __device__ TransformConvFwdToGemm(const ConvDimsType& a_g_n_c_wis_lengths,
const ConvDimsType& a_g_n_c_wis_strides,
const ConvDimsType& b_g_k_c_xs_lengths,
......@@ -272,11 +276,15 @@ struct TransformConvFwdToGemm
InRightPadW_{input_right_pads[I1]},
ZYX_{Y_ * X_}
{
#ifdef CK_CODE_GEN_RTC
static_assert(is_same_v<ConvSpatialDimsType, ck::Array<IndexType, NDimSpatial>>);
static_assert(is_same_v<ConvDimsType, ck::Array<IndexType, NDimSpatial + I3>>);
#else
static_assert(is_same_v<ConvSpatialDimsType, std::array<IndexType, NDimSpatial>> ||
is_same_v<ConvSpatialDimsType, ck::Array<IndexType, NDimSpatial>>);
static_assert(is_same_v<ConvDimsType, std::array<IndexType, NDimSpatial + I3>> ||
is_same_v<ConvDimsType, ck::Array<IndexType, NDimSpatial + I3>>);
#endif
if constexpr(SplitN)
{
N_ = GetSplitedNSize(
......@@ -290,8 +298,8 @@ struct TransformConvFwdToGemm
template <typename ConvDimsType,
typename ConvSpatialDimsType,
index_t NDim = NDimSpatial,
typename std::enable_if<NDim == 3, bool>::type = false>
index_t NDim = NDimSpatial,
typename ck::enable_if<NDim == 3, bool>::type = false>
__host__ __device__ TransformConvFwdToGemm(const ConvDimsType& a_g_n_c_wis_lengths,
const ConvDimsType& a_g_n_c_wis_strides,
const ConvDimsType& b_g_k_c_xs_lengths,
......@@ -343,11 +351,15 @@ struct TransformConvFwdToGemm
InRightPadW_{input_right_pads[I2]},
ZYX_{Z_ * Y_ * X_}
{
#ifdef CK_CODE_GEN_RTC
static_assert(is_same_v<ConvSpatialDimsType, ck::Array<IndexType, NDimSpatial>>);
static_assert(is_same_v<ConvDimsType, ck::Array<IndexType, NDimSpatial + I3>>);
#else
static_assert(is_same_v<ConvSpatialDimsType, std::array<IndexType, NDimSpatial>> ||
is_same_v<ConvSpatialDimsType, ck::Array<IndexType, NDimSpatial>>);
static_assert(is_same_v<ConvDimsType, std::array<IndexType, NDimSpatial + I3>> ||
is_same_v<ConvDimsType, ck::Array<IndexType, NDimSpatial + I3>>);
#endif
if constexpr(SplitN)
{
N_ = GetSplitedNSize(
......@@ -478,11 +490,11 @@ struct TransformConvFwdToGemm
// TODO: implement ck::tensor_layout::convolution that describe packed/strided dimemsion as
// properties
template <typename ALayout,
typename std::enable_if<NDimSpatial == 1 &&
(is_same_v<ALayout, tensor_layout::convolution::G_NW_C> ||
is_same_v<ALayout, tensor_layout::convolution::NWGC> ||
is_same_v<ALayout, tensor_layout::convolution::GNWC>),
bool>::type = false>
typename ck::enable_if<NDimSpatial == 1 &&
(is_same_v<ALayout, tensor_layout::convolution::G_NW_C> ||
is_same_v<ALayout, tensor_layout::convolution::NWGC> ||
is_same_v<ALayout, tensor_layout::convolution::GNWC>),
bool>::type = false>
__host__ __device__ auto MakeADescriptor_M_K() const
{
if constexpr(ConvForwardSpecialization ==
......@@ -691,11 +703,11 @@ struct TransformConvFwdToGemm
}
template <typename ALayout,
typename std::enable_if<
NDimSpatial == 2 && (is_same_v<ALayout, tensor_layout::convolution::G_NHW_C> ||
is_same_v<ALayout, tensor_layout::convolution::NHWGC> ||
is_same_v<ALayout, tensor_layout::convolution::GNHWC>),
bool>::type = false>
typename ck::enable_if<NDimSpatial == 2 &&
(is_same_v<ALayout, tensor_layout::convolution::G_NHW_C> ||
is_same_v<ALayout, tensor_layout::convolution::NHWGC> ||
is_same_v<ALayout, tensor_layout::convolution::GNHWC>),
bool>::type = false>
__host__ __device__ auto MakeADescriptor_M_K() const
{
......@@ -932,7 +944,7 @@ struct TransformConvFwdToGemm
}
template <typename ALayout,
typename std::enable_if<
typename ck::enable_if<
NDimSpatial == 3 && (is_same_v<ALayout, tensor_layout::convolution::G_NDHW_C> ||
is_same_v<ALayout, tensor_layout::convolution::NDHWGC> ||
is_same_v<ALayout, tensor_layout::convolution::GNDHWC>),
......@@ -1242,19 +1254,19 @@ struct TransformConvFwdToGemm
}
template <typename BLayout,
typename std::enable_if<is_same_v<BLayout, tensor_layout::convolution::GKXC> ||
is_same_v<BLayout, tensor_layout::convolution::GKYXC> ||
is_same_v<BLayout, tensor_layout::convolution::GKZYXC>,
bool>::type = false>
typename ck::enable_if<is_same_v<BLayout, tensor_layout::convolution::GKXC> ||
is_same_v<BLayout, tensor_layout::convolution::GKYXC> ||
is_same_v<BLayout, tensor_layout::convolution::GKZYXC>,
bool>::type = false>
__host__ __device__ auto MakeBDescriptor_N_K() const
{
if constexpr(ConvForwardSpecialization ==
device::ConvolutionForwardSpecialization::Filter3x3)
{
using FilterSizeNumType =
std::conditional_t<NDimSpatial == 1,
Number<3>,
std::conditional_t<NDimSpatial == 2, Number<9>, Number<27>>>;
ck::conditional_t<NDimSpatial == 1,
Number<3>,
ck::conditional_t<NDimSpatial == 2, Number<9>, Number<27>>>;
if constexpr(NumGroupsToMerge == 1)
{
......@@ -1297,13 +1309,13 @@ struct TransformConvFwdToGemm
template <
typename BLayout,
typename std::enable_if<is_same_v<BLayout, tensor_layout::convolution::G_K_X_C> ||
is_same_v<BLayout, tensor_layout::convolution::G_K_YX_C> ||
is_same_v<BLayout, tensor_layout::convolution::G_K_ZYX_C> ||
is_same_v<BLayout, tensor_layout::convolution::KXGC> ||
is_same_v<BLayout, tensor_layout::convolution::KYXGC> ||
is_same_v<BLayout, tensor_layout::convolution::KZYXGC>,
bool>::type = false>
typename ck::enable_if<is_same_v<BLayout, tensor_layout::convolution::G_K_X_C> ||
is_same_v<BLayout, tensor_layout::convolution::G_K_YX_C> ||
is_same_v<BLayout, tensor_layout::convolution::G_K_ZYX_C> ||
is_same_v<BLayout, tensor_layout::convolution::KXGC> ||
is_same_v<BLayout, tensor_layout::convolution::KYXGC> ||
is_same_v<BLayout, tensor_layout::convolution::KZYXGC>,
bool>::type = false>
__host__ __device__ auto MakeBDescriptor_N_K() const
{
const auto wei_k_yx_c_desc = make_naive_tensor_descriptor(
......@@ -1318,36 +1330,36 @@ struct TransformConvFwdToGemm
return wei_gemmn_gemmk_desc;
}
template <typename CLayout,
index_t NDimSp = NDimSpatial,
template <
typename CLayout,
index_t NDimSp = NDimSpatial,
typename std::enable_if<NDimSp == 1 &&
(is_same_v<CLayout, tensor_layout::convolution::G_K>),
bool>::type = false>
typename ck::enable_if<NDimSp == 1 && (is_same_v<CLayout, tensor_layout::convolution::G_K>),
bool>::type = false>
__host__ __device__ auto MakeCDescriptor_M_N() const
{
return make_naive_tensor_descriptor(make_tuple(N_ * Wo_, K_),
make_tuple(I0, KStrideTensorC_));
}
template <typename CLayout,
index_t NDimSp = NDimSpatial,
template <
typename CLayout,
index_t NDimSp = NDimSpatial,
typename std::enable_if<NDimSp == 2 &&
(is_same_v<CLayout, tensor_layout::convolution::G_K>),
bool>::type = false>
typename ck::enable_if<NDimSp == 2 && (is_same_v<CLayout, tensor_layout::convolution::G_K>),
bool>::type = false>
__host__ __device__ auto MakeCDescriptor_M_N() const
{
return make_naive_tensor_descriptor(make_tuple(N_ * Ho_ * Wo_, K_),
make_tuple(I0, KStrideTensorC_));
}
template <typename CLayout,
index_t NDimSp = NDimSpatial,
template <
typename CLayout,
index_t NDimSp = NDimSpatial,
typename std::enable_if<NDimSp == 3 &&
(is_same_v<CLayout, tensor_layout::convolution::G_K>),
bool>::type = false>
typename ck::enable_if<NDimSp == 3 && (is_same_v<CLayout, tensor_layout::convolution::G_K>),
bool>::type = false>
__host__ __device__ auto MakeCDescriptor_M_N() const
{
return make_naive_tensor_descriptor(make_tuple(N_ * Do_ * Ho_ * Wo_, K_),
......@@ -1355,12 +1367,12 @@ struct TransformConvFwdToGemm
}
template <typename CLayout,
index_t NDimSp = NDimSpatial,
typename std::enable_if<NDimSp == 1 &&
(is_same_v<CLayout, tensor_layout::convolution::G_NW_K> ||
is_same_v<CLayout, tensor_layout::convolution::NWGK> ||
is_same_v<CLayout, tensor_layout::convolution::GNWK>),
bool>::type = false>
index_t NDimSp = NDimSpatial,
typename ck::enable_if<NDimSp == 1 &&
(is_same_v<CLayout, tensor_layout::convolution::G_NW_K> ||
is_same_v<CLayout, tensor_layout::convolution::NWGK> ||
is_same_v<CLayout, tensor_layout::convolution::GNWK>),
bool>::type = false>
__host__ __device__ auto MakeCDescriptor_M_N() const
{
const IndexType NDoHoWo = N_ * Wo_;
......@@ -1410,11 +1422,11 @@ struct TransformConvFwdToGemm
template <typename CLayout,
index_t NDimSp = NDimSpatial,
typename std::enable_if<
NDimSp == 2 && (is_same_v<CLayout, tensor_layout::convolution::G_NHW_K> ||
is_same_v<CLayout, tensor_layout::convolution::NHWGK> ||
is_same_v<CLayout, tensor_layout::convolution::GNHWK>),
bool>::type = false>
typename ck::enable_if<NDimSp == 2 &&
(is_same_v<CLayout, tensor_layout::convolution::G_NHW_K> ||
is_same_v<CLayout, tensor_layout::convolution::NHWGK> ||
is_same_v<CLayout, tensor_layout::convolution::GNHWK>),
bool>::type = false>
__host__ __device__ auto MakeCDescriptor_M_N() const
{
const IndexType NDoHoWo = N_ * Ho_ * Wo_;
......@@ -1467,7 +1479,7 @@ struct TransformConvFwdToGemm
template <typename CLayout,
index_t NDimSp = NDimSpatial,
typename std::enable_if<
typename ck::enable_if<
NDimSp == 3 && (is_same_v<CLayout, tensor_layout::convolution::G_NDHW_K> ||
is_same_v<CLayout, tensor_layout::convolution::NDHWGK> ||
is_same_v<CLayout, tensor_layout::convolution::GNDHWK>),
......
include/ck/utility/type_convert.hpp
View file @ 23b959b2
......@@ -501,6 +501,7 @@ inline __host__ __device__ half_t type_convert<half_t, bf8_t>(bf8_t x)
#endif
}
#ifndef CK_CODE_GEN_RTC
template <typename Y, typename X, size_t NumElems>
inline __host__ __device__ void array_convert(std::array<Y, NumElems>& y,
const std::array<X, NumElems>& x)
......@@ -510,6 +511,7 @@ inline __host__ __device__ void array_convert(std::array<Y, NumElems>& y,
y[i] = type_convert<Y>(x[i]);
}
}
#endif
template <typename Y, typename X, index_t NumElems>
inline __host__ __device__ void array_convert(Array<Y, NumElems>& y, const Array<X, NumElems>& x)
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment