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Commit a65ef903 authored by Chao Liu's avatar Chao Liu
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device_implicit_gemm_convolution_1_chwn_csrk_khwn: use tensor copy (instead of... 

device_implicit_gemm_convolution_1_chwn_csrk_khwn: use tensor copy (instead of pointwise) for writing output, 3x3 increased from 78% to 84%, 5x5 from 80% to 84%
parent 50b96745
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Showing with 793 additions and 58 deletions
driver/device_implicit_gemm_convolution_1_chwn_csrk_khwn.hpp
View file @ a65ef903
...@@ -75,7 +75,7 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc, ...@@ -75,7 +75,7 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
out_khwn_device_buf.ToDevice(out_khwn.mData.data()); out_khwn_device_buf.ToDevice(out_khwn.mData.data());
#if 1 #if 1
// for 3x3, 34x34, try // for 3x3, 34x34
constexpr unsigned NPerBlock = 16; constexpr unsigned NPerBlock = 16;
constexpr unsigned KPerBlock = 64; constexpr unsigned KPerBlock = 64;
constexpr unsigned CPerBlock = 4; constexpr unsigned CPerBlock = 4;
...@@ -106,34 +106,50 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc, ...@@ -106,34 +106,50 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
constexpr unsigned GemmNLevel1Cluster = 4; constexpr unsigned GemmNLevel1Cluster = 4;
constexpr unsigned GemmKPerThreadLoop = 1; constexpr unsigned GemmKPerThreadLoop = 1;
constexpr unsigned OutThreadCopyDataPerWrite = 2;
constexpr unsigned BlockSize = 128; constexpr unsigned BlockSize = 128;
#elif 0 #elif 0
// for 3x3, 34x34 | 3x3 58x58, NKC = 64, 64, 256 // for 5x5, 36x36
constexpr unsigned NPerBlock = 16; constexpr unsigned NPerBlock = 16;
constexpr unsigned KPerBlock = 64; constexpr unsigned KPerBlock = 64;
constexpr unsigned CPerBlock = 4; constexpr unsigned CPerBlock = 2;
constexpr unsigned HoPerBlock = 2; constexpr unsigned HoPerBlock = 2;
constexpr unsigned WoPerBlock = 4; constexpr unsigned WoPerBlock = 4;
constexpr unsigned NPerThread = 4; constexpr unsigned NPerThread = 8;
constexpr unsigned KPerThread = 16; constexpr unsigned KPerThread = 8;
constexpr unsigned CPerThread = 1;
constexpr unsigned HoPerThread = 1; constexpr unsigned HoPerThread = 1;
constexpr unsigned WoPerThread = 1; constexpr unsigned WoPerThread = 1;
constexpr unsigned WeiBlockCopyThreadPerDim0 = 4; constexpr unsigned WeiBlockCopyThreadPerDim0 = 4;
constexpr unsigned WeiBlockCopyThreadPerDim1 = 32; constexpr unsigned WeiBlockCopyThreadPerDim1 = 32;
constexpr unsigned InBlockCopyDataPerRead = 2; // not used, yet constexpr unsigned InBlockCopy_ThreadPerDimC = 2;
constexpr unsigned WeiBlockCopyDataPerRead = 4; constexpr unsigned InBlockCopy_ThreadPerDimH = 2;
constexpr unsigned InBlockCopy_ThreadPerDimW = 4;
constexpr unsigned InBlockCopy_ThreadPerDimN = 4;
constexpr unsigned InBlockCopyDataPerRead = 4;
constexpr unsigned WeiBlockCopyDataPerRead = 2;
constexpr unsigned GemmMPerThreadSubC = 4;
constexpr unsigned GemmNPerThreadSubC = 4;
constexpr unsigned GemmMLevel0Cluster = 4;
constexpr unsigned GemmNLevel0Cluster = 2;
constexpr unsigned GemmMLevel1Cluster = 2;
constexpr unsigned GemmNLevel1Cluster = 4;
constexpr unsigned GemmKPerThreadLoop = 1;
constexpr unsigned OutThreadCopyDataPerWrite = 2;
constexpr unsigned BlockSize = 128; constexpr unsigned BlockSize = 128;
#elif 0 #elif 0
// 3x3 58x58, NKC = 16,256,128 // 3x3 58x58, NKC = 64, 64, 256
constexpr unsigned NPerBlock = 8; constexpr unsigned NPerBlock = 16;
constexpr unsigned KPerBlock = 64; constexpr unsigned KPerBlock = 64;
constexpr unsigned CPerBlock = 2; constexpr unsigned CPerBlock = 4;
constexpr unsigned HoPerBlock = 4; constexpr unsigned HoPerBlock = 2;
constexpr unsigned WoPerBlock = 4; constexpr unsigned WoPerBlock = 4;
constexpr unsigned NPerThread = 4; constexpr unsigned NPerThread = 4;
...@@ -142,13 +158,19 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc, ...@@ -142,13 +158,19 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
constexpr unsigned HoPerThread = 1; constexpr unsigned HoPerThread = 1;
constexpr unsigned WoPerThread = 1; constexpr unsigned WoPerThread = 1;
constexpr unsigned WeiBlockCopyThreadPerDim0 = 4;
constexpr unsigned WeiBlockCopyThreadPerDim1 = 32;
constexpr unsigned InBlockCopyDataPerRead = 2; // not used, yet
constexpr unsigned WeiBlockCopyDataPerRead = 4;
constexpr unsigned BlockSize = 128; constexpr unsigned BlockSize = 128;
#elif 0 #elif 0
// for 5x5, 36x36 // 3x3 58x58, NKC = 16,256,128
constexpr unsigned NPerBlock = 16; constexpr unsigned NPerBlock = 8;
constexpr unsigned KPerBlock = 64; constexpr unsigned KPerBlock = 64;
constexpr unsigned CPerBlock = 2; constexpr unsigned CPerBlock = 2;
constexpr unsigned HoPerBlock = 2; constexpr unsigned HoPerBlock = 4;
constexpr unsigned WoPerBlock = 4; constexpr unsigned WoPerBlock = 4;
constexpr unsigned NPerThread = 4; constexpr unsigned NPerThread = 4;
...@@ -157,12 +179,6 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc, ...@@ -157,12 +179,6 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
constexpr unsigned HoPerThread = 1; constexpr unsigned HoPerThread = 1;
constexpr unsigned WoPerThread = 1; constexpr unsigned WoPerThread = 1;
constexpr unsigned WeiBlockCopyThreadPerDim0 = 4;
constexpr unsigned WeiBlockCopyThreadPerDim1 = 32;
constexpr unsigned InBlockCopyDataPerRead = 4; // not used, yet
constexpr unsigned WeiBlockCopyDataPerRead = 4;
constexpr unsigned BlockSize = 128; constexpr unsigned BlockSize = 128;
#elif 0 #elif 0
// for 7x7, 38x38 // for 7x7, 38x38
...@@ -200,7 +216,7 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc, ...@@ -200,7 +216,7 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
constexpr unsigned WoPerThread = 1; constexpr unsigned WoPerThread = 1;
constexpr unsigned BlockSize = 128; constexpr unsigned BlockSize = 128;
#elif 0 #elif 1
// for 1x1, 28x28 // for 1x1, 28x28
constexpr unsigned NPerBlock = 16; constexpr unsigned NPerBlock = 16;
constexpr unsigned KPerBlock = 128; constexpr unsigned KPerBlock = 128;
...@@ -210,7 +226,7 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc, ...@@ -210,7 +226,7 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
constexpr unsigned NPerThread = 4; constexpr unsigned NPerThread = 4;
constexpr unsigned KPerThread = 16; constexpr unsigned KPerThread = 16;
constexpr unsigned CPerThread = 2; constexpr unsigned CPerThread = 1;
constexpr unsigned HoPerThread = 1; constexpr unsigned HoPerThread = 1;
constexpr unsigned WoPerThread = 1; constexpr unsigned WoPerThread = 1;
...@@ -225,6 +241,16 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc, ...@@ -225,6 +241,16 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
constexpr unsigned WeiBlockCopyDataPerRead = 4; constexpr unsigned WeiBlockCopyDataPerRead = 4;
constexpr unsigned GemmMPerThreadSubC = 4;
constexpr unsigned GemmNPerThreadSubC = 4;
constexpr unsigned GemmMLevel0Cluster = 4;
constexpr unsigned GemmNLevel0Cluster = 2;
constexpr unsigned GemmMLevel1Cluster = 2;
constexpr unsigned GemmNLevel1Cluster = 4;
constexpr unsigned GemmKPerThreadLoop = 1;
constexpr unsigned OutThreadCopyDataPerWrite = 2;
constexpr unsigned BlockSize = 128; constexpr unsigned BlockSize = 128;
#endif #endif
...@@ -266,7 +292,8 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc, ...@@ -266,7 +292,8 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
GemmNLevel0Cluster, GemmNLevel0Cluster,
GemmMLevel1Cluster, GemmMLevel1Cluster,
GemmNLevel1Cluster, GemmNLevel1Cluster,
GemmKPerThreadLoop>, GemmKPerThreadLoop,
OutThreadCopyDataPerWrite>,
dim3(GridSize), dim3(GridSize),
dim3(BlockSize), dim3(BlockSize),
static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer()), static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer()),
......
driver/driver.hip.cpp
View file @ a65ef903
...@@ -571,6 +571,10 @@ int main() ...@@ -571,6 +571,10 @@ int main()
std::size_t num_thread = std::thread::hardware_concurrency(); std::size_t num_thread = std::thread::hardware_concurrency();
bool do_verification = true;
if(do_verification)
{
#if 0 #if 0
in_nchw.GenerateTensorValue(GeneratorTensor_1{}, num_thread); in_nchw.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
wei_kcsr.GenerateTensorValue(GeneratorTensor_1{}, num_thread); wei_kcsr.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
...@@ -581,6 +585,7 @@ int main() ...@@ -581,6 +585,7 @@ int main()
in_nchw.GenerateTensorValue(GeneratorTensor_2{-2, 2}, num_thread); in_nchw.GenerateTensorValue(GeneratorTensor_2{-2, 2}, num_thread);
wei_kcsr.GenerateTensorValue(GeneratorTensor_1{}, num_thread); wei_kcsr.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
#endif #endif
}
unsigned nrepeat = 200; unsigned nrepeat = 200;
...@@ -614,7 +619,8 @@ int main() ...@@ -614,7 +619,8 @@ int main()
nrepeat); nrepeat);
#endif #endif
#if 1 if(do_verification)
{
if(S == 3 && R == 3) if(S == 3 && R == 3)
{ {
host_winograd_3x3_convolution(in_nchw, wei_kcsr, out_nkhw_host, lower_pads, upper_pads); host_winograd_3x3_convolution(in_nchw, wei_kcsr, out_nkhw_host, lower_pads, upper_pads);
...@@ -624,7 +630,6 @@ int main() ...@@ -624,7 +630,6 @@ int main()
host_direct_convolution(in_nchw, wei_kcsr, out_nkhw_host, lower_pads, upper_pads); host_direct_convolution(in_nchw, wei_kcsr, out_nkhw_host, lower_pads, upper_pads);
} }
check_error(out_nkhw_host, out_nkhw_device); check_error(out_nkhw_host, out_nkhw_device);
#endif
#if 0 #if 0
LogRange(std::cout << "in_nchw : ", in_nchw.mData, ",") << std::endl; LogRange(std::cout << "in_nchw : ", in_nchw.mData, ",") << std::endl;
...@@ -632,4 +637,5 @@ int main() ...@@ -632,4 +637,5 @@ int main()
LogRange(std::cout << "out_nkhw_host : ", out_nkhw_host.mData, ",") << std::endl; LogRange(std::cout << "out_nkhw_host : ", out_nkhw_host.mData, ",") << std::endl;
LogRange(std::cout << "out_nkhw_device: ", out_nkhw_device.mData, ",") << std::endl; LogRange(std::cout << "out_nkhw_device: ", out_nkhw_device.mData, ",") << std::endl;
#endif #endif
}
} }
src/include/ConstantTensorDescriptor.hip.hpp
View file @ a65ef903
...@@ -15,6 +15,35 @@ __host__ __device__ constexpr auto calculate_default_strides(Sequence<L0, L1, L2 ...@@ -15,6 +15,35 @@ __host__ __device__ constexpr auto calculate_default_strides(Sequence<L0, L1, L2
return Sequence<L1 * L2 * L3, L2 * L3, L3, 1>{}; return Sequence<L1 * L2 * L3, L2 * L3, L3, 1>{};
} }
// this is ugly, only for 6d
template <unsigned L0, unsigned L1, unsigned L2, unsigned L3, unsigned L4, unsigned L5>
__host__ __device__ constexpr auto calculate_default_strides(Sequence<L0, L1, L2, L3, L4, L5>)
{
return Sequence<L1 * L2 * L3 * L4 * L5, L2 * L3 * L4 * L5, L3 * L4 * L5, L4 * L5, L5, 1>{};
}
// this is ugly, only for 8d
template <unsigned L0,
unsigned L1,
unsigned L2,
unsigned L3,
unsigned L4,
unsigned L5,
unsigned L6,
unsigned L7>
__host__ __device__ constexpr auto
calculate_default_strides(Sequence<L0, L1, L2, L3, L4, L5, L6, L7>)
{
return Sequence<L1 * L2 * L3 * L4 * L5 * L6 * L7,
L2 * L3 * L4 * L5 * L6 * L7,
L3 * L4 * L5 * L6 * L7,
L4 * L5 * L6 * L7,
L5 * L6 * L7,
L6 * L7,
L7,
1>{};
}
// this is ugly, only for 2d // this is ugly, only for 2d
template <unsigned L0, unsigned L1, unsigned Align> template <unsigned L0, unsigned L1, unsigned Align>
__host__ __device__ constexpr auto calculate_default_strides_aligned(Sequence<L0, L1>, __host__ __device__ constexpr auto calculate_default_strides_aligned(Sequence<L0, L1>,
...@@ -64,7 +93,7 @@ struct ConstantTensorDescriptor ...@@ -64,7 +93,7 @@ struct ConstantTensorDescriptor
__host__ __device__ constexpr unsigned GetElementSize() const __host__ __device__ constexpr unsigned GetElementSize() const
{ {
static_assert(nDim >= 2 && nDim <= 4, "nDim"); static_assert(nDim >= 2 && nDim <= 8, "nDim");
if(nDim == 2) if(nDim == 2)
{ {
...@@ -90,12 +119,65 @@ struct ConstantTensorDescriptor ...@@ -90,12 +119,65 @@ struct ConstantTensorDescriptor
return GetLength(I0) * GetLength(I1) * GetLength(I2) * GetLength(I3); return GetLength(I0) * GetLength(I1) * GetLength(I2) * GetLength(I3);
} }
else if(nDim == 5)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
return GetLength(I0) * GetLength(I1) * GetLength(I2) * GetLength(I3) * GetLength(I4);
}
else if(nDim == 6)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
return GetLength(I0) * GetLength(I1) * GetLength(I2) * GetLength(I3) * GetLength(I4) *
GetLength(I5);
}
else if(nDim == 7)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
return GetLength(I0) * GetLength(I1) * GetLength(I2) * GetLength(I3) * GetLength(I4) *
GetLength(I5) * GetLength(I6);
}
else if(nDim == 8)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
return GetLength(I0) * GetLength(I1) * GetLength(I2) * GetLength(I3) * GetLength(I4) *
GetLength(I5) * GetLength(I6) * GetLength(I7);
}
else
{
assert(false);
}
} }
template <class Align = Number<1>> template <class Align = Number<1>>
__host__ __device__ constexpr unsigned GetElementSpace(Align align = Align{}) const __host__ __device__ constexpr unsigned GetElementSpace(Align align = Align{}) const
{ {
static_assert(nDim >= 2 && nDim <= 4, "nDim"); static_assert(nDim >= 2 && nDim <= 8, "nDim");
constexpr unsigned align_size = align.Get(); constexpr unsigned align_size = align.Get();
...@@ -127,6 +209,64 @@ struct ConstantTensorDescriptor ...@@ -127,6 +209,64 @@ struct ConstantTensorDescriptor
(GetLength(I2) - 1) * GetStride(I2) + (GetLength(I3) - 1) * GetStride(I3) + (GetLength(I2) - 1) * GetStride(I2) + (GetLength(I3) - 1) * GetStride(I3) +
align_size; align_size;
} }
else if(nDim == 5)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
return (GetLength(I0) - 1) * GetStride(I0) + (GetLength(I1) - 1) * GetStride(I1) +
(GetLength(I2) - 1) * GetStride(I2) + (GetLength(I3) - 1) * GetStride(I3) +
(GetLength(I4) - 1) * GetStride(I4) + align_size;
}
else if(nDim == 6)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
return (GetLength(I0) - 1) * GetStride(I0) + (GetLength(I1) - 1) * GetStride(I1) +
(GetLength(I2) - 1) * GetStride(I2) + (GetLength(I3) - 1) * GetStride(I3) +
(GetLength(I4) - 1) * GetStride(I4) + (GetLength(I5) - 1) * GetStride(I5) +
align_size;
}
else if(nDim == 7)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
return (GetLength(I0) - 1) * GetStride(I0) + (GetLength(I1) - 1) * GetStride(I1) +
(GetLength(I2) - 1) * GetStride(I2) + (GetLength(I3) - 1) * GetStride(I3) +
(GetLength(I4) - 1) * GetStride(I4) + (GetLength(I5) - 1) * GetStride(I5) +
(GetLength(I6) - 1) * GetStride(I6) + align_size;
}
else if(nDim == 8)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
return (GetLength(I0) - 1) * GetStride(I0) + (GetLength(I1) - 1) * GetStride(I1) +
(GetLength(I2) - 1) * GetStride(I2) + (GetLength(I3) - 1) * GetStride(I3) +
(GetLength(I4) - 1) * GetStride(I4) + (GetLength(I5) - 1) * GetStride(I5) +
(GetLength(I6) - 1) * GetStride(I6) + (GetLength(I7) - 1) * GetStride(I7) +
align_size;
}
} }
// this is ugly, only for 2d // this is ugly, only for 2d
...@@ -163,6 +303,83 @@ struct ConstantTensorDescriptor ...@@ -163,6 +303,83 @@ struct ConstantTensorDescriptor
return i0 * GetStride(I0) + i1 * GetStride(I1) + i2 * GetStride(I2) + i3 * GetStride(I3); return i0 * GetStride(I0) + i1 * GetStride(I1) + i2 * GetStride(I2) + i3 * GetStride(I3);
} }
// this is ugly, only for 5d
__host__ __device__ unsigned
Get1dIndex(unsigned i0, unsigned i1, unsigned i2, unsigned i3, unsigned i4) const
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
static_assert(nDim == 5, "nDim is not 5");
return i0 * GetStride(I0) + i1 * GetStride(I1) + i2 * GetStride(I2) + i3 * GetStride(I3) +
i4 * GetStride(I4);
}
// this is ugly, only for 6d
__host__ __device__ unsigned
Get1dIndex(unsigned i0, unsigned i1, unsigned i2, unsigned i3, unsigned i4, unsigned i5) const
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
static_assert(nDim == 6, "nDim is not 6");
return i0 * GetStride(I0) + i1 * GetStride(I1) + i2 * GetStride(I2) + i3 * GetStride(I3) +
i4 * GetStride(I4) + i5 * GetStride(I5);
}
// this is ugly, only for 7d
__host__ __device__ unsigned Get1dIndex(unsigned i0,
unsigned i1,
unsigned i2,
unsigned i3,
unsigned i4,
unsigned i5,
unsigned i6) const
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
static_assert(nDim == 7, "nDim is not 7");
return i0 * GetStride(I0) + i1 * GetStride(I1) + i2 * GetStride(I2) + i3 * GetStride(I3) +
i4 * GetStride(I4) + i5 * GetStride(I5) + i6 * GetStride(I6);
}
// this is ugly, only for 8d
__host__ __device__ unsigned Get1dIndex(unsigned i0,
unsigned i1,
unsigned i2,
unsigned i3,
unsigned i4,
unsigned i5,
unsigned i6,
unsigned i7) const
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
static_assert(nDim == 8, "nDim is not 8");
return i0 * GetStride(I0) + i1 * GetStride(I1) + i2 * GetStride(I2) + i3 * GetStride(I3) +
i4 * GetStride(I4) + i5 * GetStride(I5) + i6 * GetStride(I6) + i7 * GetStride(I7);
}
__host__ __device__ constexpr auto Condense() const __host__ __device__ constexpr auto Condense() const
{ {
constexpr auto default_strides = calculate_default_strides(Lengths{}); constexpr auto default_strides = calculate_default_strides(Lengths{});
...@@ -196,7 +413,7 @@ __host__ __device__ void print_ConstantTensorDescriptor(TDesc, const char* s) ...@@ -196,7 +413,7 @@ __host__ __device__ void print_ConstantTensorDescriptor(TDesc, const char* s)
constexpr auto desc = TDesc{}; constexpr auto desc = TDesc{};
constexpr unsigned ndim = desc.GetDimension(); constexpr unsigned ndim = desc.GetDimension();
static_assert(ndim >= 2 && ndim <= 4, "wrong!"); static_assert(ndim >= 2 && ndim <= 8, "wrong!");
if(ndim == 2) if(ndim == 2)
{ {
...@@ -230,4 +447,110 @@ __host__ __device__ void print_ConstantTensorDescriptor(TDesc, const char* s) ...@@ -230,4 +447,110 @@ __host__ __device__ void print_ConstantTensorDescriptor(TDesc, const char* s)
desc.GetStride(I2), desc.GetStride(I2),
desc.GetStride(I3)); desc.GetStride(I3));
} }
else if(ndim == 5)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
printf("%s dim %u, lengths {%u %u %u %u %u}, strides {%u %u %u %u %u}\n",
s,
desc.GetDimension(),
desc.GetLength(I0),
desc.GetLength(I1),
desc.GetLength(I2),
desc.GetLength(I3),
desc.GetLength(I4),
desc.GetStride(I0),
desc.GetStride(I1),
desc.GetStride(I2),
desc.GetStride(I3),
desc.GetStride(I4));
}
else if(ndim == 6)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
printf("%s dim %u, lengths {%u %u %u %u %u %u}, strides {%u %u %u %u %u %u}\n",
s,
desc.GetDimension(),
desc.GetLength(I0),
desc.GetLength(I1),
desc.GetLength(I2),
desc.GetLength(I3),
desc.GetLength(I4),
desc.GetLength(I5),
desc.GetStride(I0),
desc.GetStride(I1),
desc.GetStride(I2),
desc.GetStride(I3),
desc.GetStride(I4),
desc.GetStride(I5));
}
else if(ndim == 7)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
printf("%s dim %u, lengths {%u %u %u %u %u %u %u}, strides {%u %u %u %u %u %u %u}\n",
s,
desc.GetDimension(),
desc.GetLength(I0),
desc.GetLength(I1),
desc.GetLength(I2),
desc.GetLength(I3),
desc.GetLength(I4),
desc.GetLength(I5),
desc.GetLength(I6),
desc.GetStride(I0),
desc.GetStride(I1),
desc.GetStride(I2),
desc.GetStride(I3),
desc.GetStride(I4),
desc.GetStride(I5),
desc.GetStride(I6));
}
else if(ndim == 8)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
printf("%s dim %u, lengths {%u %u %u %u %u %u %u %u}, strides {%u %u %u %u %u %u %u %u}\n",
s,
desc.GetDimension(),
desc.GetLength(I0),
desc.GetLength(I1),
desc.GetLength(I2),
desc.GetLength(I3),
desc.GetLength(I4),
desc.GetLength(I5),
desc.GetLength(I6),
desc.GetLength(I7),
desc.GetStride(I0),
desc.GetStride(I1),
desc.GetStride(I2),
desc.GetStride(I3),
desc.GetStride(I4),
desc.GetStride(I5),
desc.GetStride(I6),
desc.GetStride(I7));
}
} }
src/include/blockwise_gemm.hip.hpp
View file @ a65ef903
...@@ -525,7 +525,51 @@ struct BlockwiseBatchGemmBlockABlockBThreadCTransANormalBNormalC_V2 ...@@ -525,7 +525,51 @@ struct BlockwiseBatchGemmBlockABlockBThreadCTransANormalBNormalC_V2
f_accum); f_accum);
} }
} }
template <class BlockMatrixC, unsigned BlockMatrixStrideC, class FloatC>
__device__ void CopyThreadMatrixCToBlockMatrixC(const FloatC* __restrict__ p_c_thread,
FloatC* __restrict__ p_c_block) const
{
constexpr auto c_block_mtx = BlockMatrixC{};
constexpr auto c_thread_mtx = ThreadMatrixC{};
constexpr unsigned MPerThread = c_thread_mtx.NRow();
constexpr unsigned NPerThread = c_thread_mtx.NCol();
constexpr auto c_thread_sub_mtx = make_ConstantMatrixDescriptor(
Number<MPerThreadSubC>{}, Number<NPerThreadSubC>{}, Number<NPerThread>{});
constexpr unsigned MPerLevel1Cluster = MPerThreadSubC * MLevel0Cluster * MLevel1Cluster;
constexpr unsigned NPerLevel1Cluster = NPerThreadSubC * NLevel0Cluster * NLevel1Cluster;
constexpr unsigned MRepeat = MPerThread / MPerThreadSubC;
constexpr unsigned NRepeat = NPerThread / NPerThreadSubC;
const auto c_thread_mtx_begin = GetBeginOfThreadMatrixC(get_thread_local_1d_id());
const unsigned c_thread_offset =
c_thread_mtx_begin.batch * BlockMatrixStrideC +
c_block_mtx.Get1dIndex(c_thread_mtx_begin.row, c_thread_mtx_begin.col);
for(unsigned m_repeat = 0; m_repeat, MRepeat; ++m_repeat)
{
for(unsigned n_repeat = 0; n_repeat, NRepeat; ++n_repeat)
{
threadwise_matrix_copy(
c_thread_sub_mtx,
p_c_thread + c_thread_sub_mtx.Get1dIndex(m_repeat * MPerLevel1Cluster,
n_repeat * NPerLevel1Cluster),
c_block_mtx,
p_c_block +
c_block_mtx.Get1dIndex(m_repeat * MPerLevel1Cluster,
n_repeat * NPerLevel1Cluster) +
c_thread_offset,
c_thread_sub_mtx.GetLengths());
}
}
}
}; };
template <unsigned BlockSize, template <unsigned BlockSize,
class BlockMatrixA, class BlockMatrixA,
class BlockMatrixB, class BlockMatrixB,
......
src/include/gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn.hip.hpp
View file @ a65ef903
...@@ -4,6 +4,7 @@ ...@@ -4,6 +4,7 @@
#include "ConstantMatrixDescriptor.hip.hpp" #include "ConstantMatrixDescriptor.hip.hpp"
#include "blockwise_4d_tensor_op.hip.hpp" #include "blockwise_4d_tensor_op.hip.hpp"
#include "blockwise_2d_tensor_op.hip.hpp" #include "blockwise_2d_tensor_op.hip.hpp"
#include "threadwise_nd_tensor_op.hip.hpp"
#include "threadwise_4d_tensor_op.hip.hpp" #include "threadwise_4d_tensor_op.hip.hpp"
#include "blockwise_gemm.hip.hpp" #include "blockwise_gemm.hip.hpp"
...@@ -33,7 +34,8 @@ template <unsigned GridSize, ...@@ -33,7 +34,8 @@ template <unsigned GridSize,
unsigned GemmNLevel0Cluster, unsigned GemmNLevel0Cluster,
unsigned GemmMLevel1Cluster, unsigned GemmMLevel1Cluster,
unsigned GemmNLevel1Cluster, unsigned GemmNLevel1Cluster,
unsigned GemmKPerThreadLoop> unsigned GemmKPerThreadLoop,
unsigned OutThreadCopyDataPerWrite>
__global__ void __global__ void
gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(const Float* const __restrict__ p_in_global, gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(const Float* const __restrict__ p_in_global,
const Float* const __restrict__ p_wei_global, const Float* const __restrict__ p_wei_global,
...@@ -270,19 +272,18 @@ gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(const Float* const __restric ...@@ -270,19 +272,18 @@ gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(const Float* const __restric
} }
} }
// output: register to global mem,
#if 0
const auto c_thread_mtx_begin = const auto c_thread_mtx_begin =
blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id()); blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
// output: register to global mem,
// convert out_thread[Ho,K,Wo,N] to out_global[K,Ho,Wo,N]
#if 0
// for v1 batch-gemm // for v1 batch-gemm
const unsigned k_thread_data_begin = c_thread_mtx_begin.row; const unsigned k_thread_data_begin = c_thread_mtx_begin.row;
const unsigned ho_thread_data_begin = c_thread_mtx_begin.batch; const unsigned ho_thread_data_begin = c_thread_mtx_begin.batch;
const unsigned wo_thread_data_begin = c_thread_mtx_begin.col / NPerBlock; const unsigned wo_thread_data_begin = c_thread_mtx_begin.col / NPerBlock;
const unsigned n_thread_data_begin = c_thread_mtx_begin.col - wo_thread_data_begin * NPerBlock; const unsigned n_thread_data_begin = c_thread_mtx_begin.col % NPerBlock;
threadwise_4d_tensor_copy( threadwise_4d_tensor_copy_v2(
out_khwn_thread_desc, out_khwn_thread_desc,
p_out_thread, p_out_thread,
out_khwn_global_desc, out_khwn_global_desc,
...@@ -290,8 +291,12 @@ gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(const Float* const __restric ...@@ -290,8 +291,12 @@ gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(const Float* const __restric
ho_block_data_begin + ho_thread_data_begin, ho_block_data_begin + ho_thread_data_begin,
wo_block_data_begin + wo_thread_data_begin, wo_block_data_begin + wo_thread_data_begin,
n_block_data_begin + n_thread_data_begin), n_block_data_begin + n_thread_data_begin),
out_khwn_thread_desc.GetLengths()); out_khwn_thread_desc.GetLengths(),
#else Number<OutThreadCopyDataPerWrite>{});
#elif 0
const auto c_thread_mtx_begin =
blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
for(unsigned k = 0; k < out_khwn_thread_desc.GetLength(I0); ++k) for(unsigned k = 0; k < out_khwn_thread_desc.GetLength(I0); ++k)
{ {
for(unsigned ho = 0; ho < out_khwn_thread_desc.GetLength(I1); ++ho) for(unsigned ho = 0; ho < out_khwn_thread_desc.GetLength(I1); ++ho)
...@@ -322,5 +327,58 @@ gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(const Float* const __restric ...@@ -322,5 +327,58 @@ gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(const Float* const __restric
} }
} }
} }
#elif 1
const auto c_thread_mtx_begin =
blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
const unsigned k_thread_data_begin = c_thread_mtx_begin.row;
const unsigned ho_thread_data_begin = c_thread_mtx_begin.batch;
const unsigned wo_thread_data_begin = c_thread_mtx_begin.col / NPerBlock;
const unsigned n_thread_data_begin = c_thread_mtx_begin.col % NPerBlock;
// this is for v2 GEMM
// output is a 8d tensor
if(NPerThread < NPerBlock && WoPerThread == 1)
{
constexpr unsigned N1_ = GemmNPerThreadSubC;
constexpr unsigned W1_ = WoPerBlock / ((WoPerThread * NPerThread) / GemmNPerThreadSubC);
constexpr unsigned K2_ = GemmMPerThreadSubC;
constexpr unsigned K1_ = KPerBlock / KPerThread;
constexpr auto out_8d_global_desc = make_ConstantTensorDescriptor(
Sequence<K / (K1_ * K2_), K1_, K2_, Ho, Wo / W1_, W1_, N / N1_, N1_>{});
constexpr auto out_8d_thread_desc = make_ConstantTensorDescriptor(
Sequence<KPerBlock / (K1_ * K2_), 1, K2_, HoPerThread, WoPerBlock / W1_, 1, 1, N1_>{});
#if 0
if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
{
print_ConstantTensorDescriptor(out_khwn_thread_desc, "out_khwn_thread_desc");
print_ConstantTensorDescriptor(out_8d_thread_desc, "out_8d_thread_desc");
print_ConstantTensorDescriptor(out_khwn_global_desc, "out_khwn_global_desc");
print_ConstantTensorDescriptor(out_8d_global_desc, "out_8d_global_desc");
}
#endif
threadwise_8d_tensor_copy(out_8d_thread_desc,
p_out_thread,
out_8d_global_desc,
p_out_global + out_khwn_global_desc.Get1dIndex(
k_block_data_begin + k_thread_data_begin,
ho_block_data_begin + ho_thread_data_begin,
wo_block_data_begin + wo_thread_data_begin,
n_block_data_begin + n_thread_data_begin),
out_8d_thread_desc.GetLengths(),
Number<OutThreadCopyDataPerWrite>{});
}
else if(NPerThread == NPerBlock)
{
}
else
{
assert(false);
}
#endif #endif
} }
src/include/threadwise_4d_tensor_op.hip.hpp
View file @ a65ef903
...@@ -45,7 +45,7 @@ template <class Float, ...@@ -45,7 +45,7 @@ template <class Float,
class F> class F>
__device__ void threadwise_4d_tensor_pointwise_operation_binary_reorder_by_get_dst_from_src( __device__ void threadwise_4d_tensor_pointwise_operation_binary_reorder_by_get_dst_from_src(
SrcDesc, SrcDesc,
Float* const __restrict__ p_src, const Float* __restrict__ p_src,
DstDesc, DstDesc,
Float* __restrict__ p_dst, Float* __restrict__ p_dst,
SrcOpLengths, SrcOpLengths,
...@@ -100,7 +100,7 @@ __device__ void threadwise_4d_tensor_set_zero(Desc, Float* __restrict__ p) ...@@ -100,7 +100,7 @@ __device__ void threadwise_4d_tensor_set_zero(Desc, Float* __restrict__ p)
template <class Float, class SrcDesc, class DstDesc, class SrcOpLengths, class DstFromSrcReorder> template <class Float, class SrcDesc, class DstDesc, class SrcOpLengths, class DstFromSrcReorder>
__device__ void __device__ void
threadwise_4d_tensor_copy_reorder_by_get_dst_from_src(SrcDesc, threadwise_4d_tensor_copy_reorder_by_get_dst_from_src(SrcDesc,
Float* const __restrict__ p_src, const Float* __restrict__ p_src,
DstDesc, DstDesc,
Float* __restrict__ p_dst, Float* __restrict__ p_dst,
SrcOpLengths, SrcOpLengths,
...@@ -114,7 +114,7 @@ threadwise_4d_tensor_copy_reorder_by_get_dst_from_src(SrcDesc, ...@@ -114,7 +114,7 @@ threadwise_4d_tensor_copy_reorder_by_get_dst_from_src(SrcDesc,
template <class Float, class SrcDesc, class DstDesc, class SrcOpLengths> template <class Float, class SrcDesc, class DstDesc, class SrcOpLengths>
__device__ void threadwise_4d_tensor_copy( __device__ void threadwise_4d_tensor_copy(
SrcDesc, Float* const __restrict__ p_src, DstDesc, Float* __restrict__ p_dst, SrcOpLengths) SrcDesc, const Float* __restrict__ p_src, DstDesc, Float* __restrict__ p_dst, SrcOpLengths)
{ {
auto dst_from_src_reorder = Sequence<0, 1, 2, 3>{}; auto dst_from_src_reorder = Sequence<0, 1, 2, 3>{};
...@@ -122,6 +122,85 @@ __device__ void threadwise_4d_tensor_copy( ...@@ -122,6 +122,85 @@ __device__ void threadwise_4d_tensor_copy(
SrcDesc{}, p_src, DstDesc{}, p_dst, SrcOpLengths{}, dst_from_src_reorder); SrcDesc{}, p_src, DstDesc{}, p_dst, SrcOpLengths{}, dst_from_src_reorder);
} }
// need to assume src and dst is aligned
template <class Float, class SrcDesc, class DstDesc, class SrcOpLengths, unsigned DataPerRead>
__device__ void threadwise_4d_tensor_copy_v2(SrcDesc,
const Float* __restrict__ p_src,
DstDesc,
Float* __restrict__ p_dst,
SrcOpLengths,
Number<DataPerRead>)
{
using Float2 = float2;
using Float4 = float4;
static_assert(SrcDesc{}.GetDimension() == 4 && DstDesc{}.GetDimension() == 4 &&
SrcOpLengths::nDim == 4,
"wrong! should be 4 dimension");
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto src_desc = SrcDesc{};
constexpr auto dst_desc = DstDesc{};
constexpr auto ref_desc = make_ConstantTensorDescriptor(SrcOpLengths{});
static_assert(SrcDesc{}.GetStride(I3) == 1 && DstDesc{}.GetStride(I3) == 1,
"wrong! only support stride3 == 1!\n");
static_assert(DataPerRead == 1 || DataPerRead == 2 || DataPerRead == 4,
"wrong! only support DataPerRead == 1, 2 or 4!\n");
static_assert(SrcDesc{}.GetStride(I2) % DataPerRead == 0 &&
DstDesc{}.GetStride(I2) % DataPerRead == 0,
"wrong! src and dst stride should be multiple of DataPerRead to keep alignment");
constexpr unsigned L3 = SrcOpLengths{}.Get(I3);
static_assert(L3 % DataPerRead == 0, "wrong! L3 should be evenly divided by DataPerRead");
constexpr unsigned nloop_d3 = L3 / DataPerRead;
for(unsigned did0 = 0; did0 < ref_desc.GetLength(I0); ++did0)
{
for(unsigned did1 = 0; did1 < ref_desc.GetLength(I1); ++did1)
{
for(unsigned did2 = 0; did2 < ref_desc.GetLength(I2); ++did2)
{
for(unsigned iloop_d3 = 0; iloop_d3 < nloop_d3; ++iloop_d3)
{
const unsigned src_index =
src_desc.Get1dIndex(did0, did1, did2, iloop_d3 * DataPerRead);
const unsigned dst_index =
dst_desc.Get1dIndex(did0, did1, did2, iloop_d3 * DataPerRead);
if(DataPerRead == 1)
{
p_dst[dst_index] = p_src[src_index];
}
else if(DataPerRead == 2)
{
*(reinterpret_cast<Float2*>(p_dst + dst_index)) =
*(reinterpret_cast<const Float2*>(p_src + src_index));
}
else if(DataPerRead == 4)
{
*(reinterpret_cast<Float4*>(p_dst + dst_index)) =
*(reinterpret_cast<const Float4*>(p_src + src_index));
}
else
{
assert(false);
}
}
}
}
}
}
template <class Float, class Desc, class IDim, class NShift> template <class Float, class Desc, class IDim, class NShift>
__device__ void threadwise_4d_tensor_shift_down(Desc, Float* __restrict__ p, IDim, NShift) __device__ void threadwise_4d_tensor_shift_down(Desc, Float* __restrict__ p, IDim, NShift)
{ {
......
src/include/threadwise_nd_tensor_op.hip.hpp 0 → 100644
View file @ a65ef903
#pragma once
#include "ConstantTensorDescriptor.hip.hpp"
// need to assume src and dst is aligned
template <class Float, class SrcDesc, class DstDesc, class SrcOpLengths, unsigned DataPerRead>
__device__ void threadwise_6d_tensor_copy(SrcDesc,
const Float* __restrict__ p_src,
DstDesc,
Float* __restrict__ p_dst,
SrcOpLengths,
Number<DataPerRead>)
{
using Float2 = float2;
using Float4 = float4;
static_assert(SrcDesc{}.GetDimension() == 6 && DstDesc{}.GetDimension() == 6 &&
SrcOpLengths::nDim == 6,
"wrong! should be 6 dimension");
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto src_desc = SrcDesc{};
constexpr auto dst_desc = DstDesc{};
constexpr auto ref_desc = make_ConstantTensorDescriptor(SrcOpLengths{});
static_assert(SrcDesc{}.GetStride(I5) == 1 && DstDesc{}.GetStride(I5) == 1,
"wrong! only support stride5 == 1!\n");
static_assert(DataPerRead == 1 || DataPerRead == 2 || DataPerRead == 4,
"wrong! only support DataPerRead == 1, 2 or 4!\n");
static_assert(SrcDesc{}.GetStride(I4) % DataPerRead == 0 &&
DstDesc{}.GetStride(I4) % DataPerRead == 0,
"wrong! src and dst stride should be multiple of DataPerRead to keep alignment");
constexpr unsigned L5 = SrcOpLengths{}.Get(I5);
static_assert(L5 % DataPerRead == 0, "wrong! L5 should be evenly divided by DataPerRead");
constexpr unsigned nloop_d5 = L5 / DataPerRead;
for(unsigned did0 = 0; did0 < ref_desc.GetLength(I0); ++did0)
{
for(unsigned did1 = 0; did1 < ref_desc.GetLength(I1); ++did1)
{
for(unsigned did2 = 0; did2 < ref_desc.GetLength(I2); ++did2)
{
for(unsigned did3 = 0; did3 < ref_desc.GetLength(I3); ++did3)
{
for(unsigned did4 = 0; did4 < ref_desc.GetLength(I4); ++did4)
{
for(unsigned iloop_d5 = 0; iloop_d5 < nloop_d5; ++iloop_d5)
{
const unsigned src_index = src_desc.Get1dIndex(
did0, did1, did2, did3, did4, iloop_d5 * DataPerRead);
const unsigned dst_index = dst_desc.Get1dIndex(
did0, did1, did2, did3, did4, iloop_d5 * DataPerRead);
if(DataPerRead == 1)
{
p_dst[dst_index] = p_src[src_index];
}
else if(DataPerRead == 2)
{
*(reinterpret_cast<Float2*>(p_dst + dst_index)) =
*(reinterpret_cast<const Float2*>(p_src + src_index));
}
else if(DataPerRead == 4)
{
*(reinterpret_cast<Float4*>(p_dst + dst_index)) =
*(reinterpret_cast<const Float4*>(p_src + src_index));
}
else
{
assert(false);
}
}
}
}
}
}
}
}
// need to assume src and dst is aligned
template <class Float, class SrcDesc, class DstDesc, class SrcOpLengths, unsigned DataPerRead>
__device__ void threadwise_8d_tensor_copy(SrcDesc,
const Float* __restrict__ p_src,
DstDesc,
Float* __restrict__ p_dst,
SrcOpLengths,
Number<DataPerRead>)
{
using Float2 = float2;
using Float4 = float4;
static_assert(SrcDesc{}.GetDimension() == 8 && DstDesc{}.GetDimension() == 8 &&
SrcOpLengths::nDim == 8,
"wrong! should be 8 dimension");
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
constexpr auto src_desc = SrcDesc{};
constexpr auto dst_desc = DstDesc{};
constexpr auto ref_desc = make_ConstantTensorDescriptor(SrcOpLengths{});
static_assert(SrcDesc{}.GetStride(I7) == 1 && DstDesc{}.GetStride(I7) == 1,
"wrong! only support stride7 == 1!\n");
static_assert(DataPerRead == 1 || DataPerRead == 2 || DataPerRead == 4,
"wrong! only support DataPerRead == 1, 2 or 4!\n");
static_assert(SrcDesc{}.GetStride(I6) % DataPerRead == 0 &&
DstDesc{}.GetStride(I6) % DataPerRead == 0,
"wrong! src and dst stride should be multiple of DataPerRead to keep alignment");
constexpr unsigned L7 = SrcOpLengths{}.Get(I7);
static_assert(L7 % DataPerRead == 0, "wrong! L7 should be evenly divided by DataPerRead");
constexpr unsigned nloop_d7 = L7 / DataPerRead;
for(unsigned did0 = 0; did0 < ref_desc.GetLength(I0); ++did0)
{
for(unsigned did1 = 0; did1 < ref_desc.GetLength(I1); ++did1)
{
for(unsigned did2 = 0; did2 < ref_desc.GetLength(I2); ++did2)
{
for(unsigned did3 = 0; did3 < ref_desc.GetLength(I3); ++did3)
{
for(unsigned did4 = 0; did4 < ref_desc.GetLength(I4); ++did4)
{
for(unsigned did5 = 0; did5 < ref_desc.GetLength(I5); ++did5)
{
for(unsigned did6 = 0; did6 < ref_desc.GetLength(I6); ++did6)
{
for(unsigned iloop_d7 = 0; iloop_d7 < nloop_d7; ++iloop_d7)
{
const unsigned src_index =
src_desc.Get1dIndex(did0,
did1,
did2,
did3,
did4,
did5,
did6,
iloop_d7 * DataPerRead);
const unsigned dst_index =
dst_desc.Get1dIndex(did0,
did1,
did2,
did3,
did4,
did5,
did6,
iloop_d7 * DataPerRead);
if(DataPerRead == 1)
{
p_dst[dst_index] = p_src[src_index];
}
else if(DataPerRead == 2)
{
*(reinterpret_cast<Float2*>(p_dst + dst_index)) =
*(reinterpret_cast<const Float2*>(p_src + src_index));
}
else if(DataPerRead == 4)
{
*(reinterpret_cast<Float4*>(p_dst + dst_index)) =
*(reinterpret_cast<const Float4*>(p_src + src_index));
}
else
{
assert(false);
}
}
}
}
}
}
}
}
}
}
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