ROCm/composable_kernel
1
0
Fork 0
mirror of https://github.com/ROCm/composable_kernel.git synced 2026-05-11 17:00:18 +00:00
Code Issues Packages Projects Releases Wiki Activity

add more assertion

Browse Source
This commit is contained in:
Chao Liu
2019-04-08 12:02:56 -05:00
parent 268d1c717c
commit c075d3f7d9
5 changed files with 136 additions and 101 deletions
Download Patch File Download Diff File Expand all files Collapse all files

31
driver/device_implicit_gemm_convolution_1_chwn_cyxk_khwn.hpp
View File

@@ -277,37 +277,6 @@ void device_implicit_gemm_convolution_1_chwn_cyxk_khwn(InDesc,
constexpr index_t WeiBlockCopyDataPerRead = 4;
constexpr index_t OutThreadCopyDataPerWrite = 2;
constexpr index_t BlockSize = 128;
#elif 1
// for 1x1, 14x14, Pascal, try
constexpr index_t NPerBlock = 16;
constexpr index_t KPerBlock = 128;
constexpr index_t CPerBlock = 8;
constexpr index_t HoPerBlock = 1;
constexpr index_t WoPerBlock = 4;
constexpr index_t NPerThread = 4;
constexpr index_t KPerThread = 8;
constexpr index_t HoPerThread = 1;
constexpr index_t WoPerThread = 2;
constexpr index_t GemmMPerThreadSubC = 4;
constexpr index_t GemmNPerThreadSubC = 4;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmKPerThreadLoop = 1;
constexpr index_t InBlockCopy_ThreadPerDimC = 8;
constexpr index_t InBlockCopy_ThreadPerDimH = 1;
constexpr index_t InBlockCopy_ThreadPerDimW = 4;
constexpr index_t InBlockCopy_ThreadPerDimN = 4;
constexpr index_t InBlockCopyDataPerRead = 4;
constexpr index_t WeiBlockCopyDataPerRead = 4;
constexpr index_t OutThreadCopyDataPerWrite = 4;
constexpr index_t BlockSize = 128;
#endif

6
driver/driver.hip.cpp
View File

@@ -580,7 +580,7 @@ int main(int argc, char* argv[])
constexpr index_t HPad = 0;
constexpr index_t WPad = 0;
#elif 1
#elif 0
// 1x1 filter, 14x14 image, C = 2048
constexpr index_t N = 128;
constexpr index_t C = 2048;
@@ -661,9 +661,9 @@ int main(int argc, char* argv[])
device_direct_convolution_2_nchw_kcyx_nkhw
#elif 0
device_direct_convolution_2_vectorized_nchw_kcyx_nkhw
#elif 0
device_implicit_gemm_convolution_1_chwn_cyxk_khwn
#elif 1
device_implicit_gemm_convolution_1_chwn_cyxk_khwn
#elif 0
device_implicit_gemm_convolution_2_chwn_cyxk_khwn
#endif
(in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);

73
src/include/ConstantTensorDescriptor.hip.hpp
View File

@@ -229,7 +229,7 @@ __host__ __device__ void print_ConstantTensorDescriptor(TDesc, const char* s)
constexpr auto desc = TDesc{};
constexpr index_t ndim = desc.GetDimension();
static_assert(ndim >= 2 && ndim <= 8, "wrong!");
static_assert(ndim >= 2 && ndim <= 10, "wrong!");
if(ndim == 2)
{
@@ -369,4 +369,75 @@ __host__ __device__ void print_ConstantTensorDescriptor(TDesc, const char* s)
desc.GetStride(I6),
desc.GetStride(I7));
}
else if(ndim == 9)
{
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 I8 = Number<8>{};
printf("%s dim %u, lengths {%u %u %u %u %u %u %u %u %u}, strides {%u %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.GetLength(I8),
desc.GetStride(I0),
desc.GetStride(I1),
desc.GetStride(I2),
desc.GetStride(I3),
desc.GetStride(I4),
desc.GetStride(I5),
desc.GetStride(I6),
desc.GetStride(I7),
desc.GetStride(I8));
}
else if(ndim == 10)
{
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 I8 = Number<8>{};
constexpr auto I9 = Number<9>{};
printf("%s dim %u, lengths {%u %u %u %u %u %u %u %u %u %u}, strides {%u %u %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.GetLength(I8),
desc.GetLength(I9),
desc.GetStride(I0),
desc.GetStride(I1),
desc.GetStride(I2),
desc.GetStride(I3),
desc.GetStride(I4),
desc.GetStride(I5),
desc.GetStride(I6),
desc.GetStride(I7),
desc.GetStride(I8),
desc.GetStride(I9));
}
}

2
src/include/blockwise_batched_gemm.hip.hpp
View File

@@ -138,7 +138,7 @@ struct BlockwiseBatchGemmBlockABlockBThreadCTransANormalBNormalC_V2
level1_n_id * NPerLevel0Cluster + level0_n_id * NPerThreadSubC};
}
// this should be optimized away if input is known
// this should be optimized away because input will be known at compile time
__device__ static MatrixIndex
GetDistanceFromBeginOfThreadMatrixC(index_t batch_in_c, index_t m_in_c, index_t n_in_c)
{

125
src/include/gridwise_convolution_implicit_gemm_v1_chwn_cyxk_khwn.hip.hpp
View File

@@ -41,7 +41,8 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn
Float* const __restrict__ p_out_global) const
{
// be careful of this assertion
static_assert(NPerBlock % NPerThread == 0, "wrong! NPerBlock % NPerThread !=0");
static_assert(NPerThread <= NPerBlock && NPerBlock % NPerThread == 0,
"wrong! should satisfy: NPerThread <= NPerBlock && NPerBlock % NPerThread == 0");
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
@@ -66,6 +67,9 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn
constexpr index_t WiPerBlock = WoPerBlock + X - 1;
// divide block work: [K, Ho, Wo, N]
static_assert(N % NPerBlock == 0 && K % KPerBlock == 0 && C % CPerBlock == 0 && Ho % HoPerBlock == 0 && Wo % WoPerBlock == 0,
"wrong! cannot evenly divide work for workgroup ");
constexpr index_t KBlockWork = (K + KPerBlock - 1) / KPerBlock;
constexpr index_t HBlockWork = (Ho + HoPerBlock - 1) / HoPerBlock;
constexpr index_t WBlockWork = (Wo + WoPerBlock - 1) / WoPerBlock;
@@ -218,39 +222,39 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn
// output: register to global mem,
#if 0
const auto c_thread_mtx_begin =
blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
const auto c_thread_mtx_begin =
blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
for(index_t k = 0; k < out_khwn_thread_desc.GetLength(I0); ++k)
{
for(index_t ho = 0; ho < out_khwn_thread_desc.GetLength(I1); ++ho)
for(index_t k = 0; k < out_khwn_thread_desc.GetLength(I0); ++k)
{
for(index_t wo = 0; wo < out_khwn_thread_desc.GetLength(I2); ++wo)
for(index_t ho = 0; ho < out_khwn_thread_desc.GetLength(I1); ++ho)
{
for(index_t n = 0; n < out_khwn_thread_desc.GetLength(I3); ++n)
for(index_t wo = 0; wo < out_khwn_thread_desc.GetLength(I2); ++wo)
{
const index_t b = out_khwn_thread_desc.Get1dIndex(0, 0, wo, n);
for(index_t n = 0; n < out_khwn_thread_desc.GetLength(I3); ++n)
{
const index_t b = out_khwn_thread_desc.Get1dIndex(0, 0, wo, n);
const auto c_thread_mtx_distance =
blockwise_batch_gemm.GetDistanceFromBeginOfThreadMatrixC(ho, k, b);
const auto c_thread_mtx_distance =
blockwise_batch_gemm.GetDistanceFromBeginOfThreadMatrixC(ho, k, b);
const index_t ho_thread =
c_thread_mtx_begin.batch + c_thread_mtx_distance.batch;
const index_t k_thread = c_thread_mtx_begin.row + c_thread_mtx_distance.row;
const index_t b_thread = c_thread_mtx_begin.col + c_thread_mtx_distance.col;
const index_t ho_thread =
c_thread_mtx_begin.batch + c_thread_mtx_distance.batch;
const index_t k_thread = c_thread_mtx_begin.row + c_thread_mtx_distance.row;
const index_t b_thread = c_thread_mtx_begin.col + c_thread_mtx_distance.col;
const index_t wo_thread = b_thread / NPerBlock;
const index_t n_thread = b_thread % NPerBlock;
const index_t wo_thread = b_thread / NPerBlock;
const index_t n_thread = b_thread % NPerBlock;
p_out_global[out_khwn_global_desc.Get1dIndex(k_block_data_begin + k_thread,
ho_block_data_begin + ho_thread,
wo_block_data_begin + wo_thread,
n_block_data_begin + n_thread)] =
p_out_thread[out_khwn_thread_desc.Get1dIndex(k, ho, wo, n)];
p_out_global[out_khwn_global_desc.Get1dIndex(k_block_data_begin + k_thread,
ho_block_data_begin + ho_thread,
wo_block_data_begin + wo_thread,
n_block_data_begin + n_thread)] =
p_out_thread[out_khwn_thread_desc.Get1dIndex(k, ho, wo, n)];
}
}
}
}
}
#elif 1
const auto c_thread_mtx_begin =
blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
@@ -261,63 +265,54 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn
const index_t n_thread_data_begin =
c_thread_mtx_begin.col - NPerBlock * wo_thread_data_begin;
// this is for v2 GEMM
// output is a 10d tensor
if(NPerThread <= NPerBlock)
{
constexpr index_t N2 = GemmNPerThreadSubC;
constexpr index_t N1 = NPerBlock / N2;
constexpr index_t N2 = GemmNPerThreadSubC;
constexpr index_t N1 = NPerBlock / N2;
constexpr index_t W2 =
(GemmNLevel0Cluster * GemmNLevel1Cluster) / (NPerBlock / GemmNPerThreadSubC);
constexpr index_t W1 = WoPerBlock / W2;
constexpr index_t W2 =
(GemmNLevel0Cluster * GemmNLevel1Cluster) / (NPerBlock / GemmNPerThreadSubC);
constexpr index_t W1 = WoPerBlock / W2;
constexpr index_t K2 = GemmMPerThreadSubC;
constexpr index_t K1 = KPerBlock / KPerThread;
constexpr index_t K2 = GemmMPerThreadSubC;
constexpr index_t K1 = KPerBlock / KPerThread;
constexpr auto out_10d_global_desc =
make_ConstantTensorDescriptor(Sequence<K / (K1 * K2),
K1,
K2,
Ho,
Wo / (W1 * W2),
W1,
W2,
N / (N1 * N2),
N1,
N2>{});
constexpr auto out_10d_global_desc =
make_ConstantTensorDescriptor(Sequence<K / (K1 * K2),
K1,
K2,
Ho,
Wo / (W1 * W2),
W1,
W2,
N / (N1 * N2),
N1,
N2>{});
constexpr auto out_10d_thread_desc = make_ConstantTensorDescriptor(
Sequence<KPerThread / K2, 1, K2, HoPerThread, 1, W1, 1, 1, 1, N2>{});
constexpr auto out_10d_thread_desc = make_ConstantTensorDescriptor(
Sequence<KPerThread / K2, 1, K2, HoPerThread, 1, W1, 1, 1, 1, N2>{});
#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_10d_thread_desc, "out_10d_thread_desc");
print_ConstantTensorDescriptor(out_khwn_global_desc, "out_khwn_global_desc");
print_ConstantTensorDescriptor(out_8d_global_desc, "out_8d_global_desc");
print_ConstantTensorDescriptor(out_10d_global_desc, "out_10d_global_desc");
}
#endif
threadwise_10d_tensor_copy(
out_10d_thread_desc,
p_out_thread,
out_10d_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_10d_thread_desc.GetLengths(),
Number<OutThreadCopyDataPerWrite>{});
}
else
{
// no implemented yet
assert(false);
}
threadwise_10d_tensor_copy(
out_10d_thread_desc,
p_out_thread,
out_10d_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_10d_thread_desc.GetLengths(),
Number<OutThreadCopyDataPerWrite>{});
#endif
}
};