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Commit 28325204 authored by Chao Liu's avatar Chao Liu
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adding fp16 direct that reads pre-vectorized data

parent 4f0fc72e
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Showing with 23 additions and 23 deletions
src/include/gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw.hip.hpp
View file @ 28325204
...@@ -27,8 +27,8 @@ template <class Float, ...@@ -27,8 +27,8 @@ template <class Float,
unsigned BlockSize, unsigned BlockSize,
unsigned GridSize> unsigned GridSize>
__global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw( __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw(
const typename vector_type<Float, ScalarPerVector>::VectorType* const __restrict__ p_in_global, const typename vector_type<Float, ScalarPerVector>::VectorType* const __restrict__ p_in_vec_global,
const typename vector_type<Float, ScalarPerVector>::VectorType* const __restrict__ p_wei_global, const typename vector_type<Float, ScalarPerVector>::VectorType* const __restrict__ p_wei_vec_global,
Float* const __restrict__ p_out_global) Float* const __restrict__ p_out_global)
{ {
using scalar_t = Float; using scalar_t = Float;
...@@ -76,25 +76,25 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw( ...@@ -76,25 +76,25 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw(
? InBlockCopyDataPerRead ? InBlockCopyDataPerRead
: WeiBlockCopyDataPerRead; : WeiBlockCopyDataPerRead;
__shared__ Float p_in_block[max_align * ((in_block_size + max_align - 1) / max_align)]; __shared__ vector_t p_in_vec_block[max_align * ((in_block_size + max_align - 1) / max_align)];
__shared__ Float p_wei_block[max_align * ((wei_block_size + max_align - 1) / max_align)]; __shared__ vector_t p_wei_vec_block[max_align * ((wei_block_size + max_align - 1) / max_align)];
// threadwise tensors // threadwise tensors
constexpr unsigned HiPerThread = HoPerThread + Y - 1; constexpr unsigned HiPerThread = HoPerThread + Y - 1;
constexpr unsigned WiPerThread = WoPerThread + X - 1; constexpr unsigned WiPerThread = WoPerThread + X - 1;
constexpr auto in_nchw_thread_block_desc = constexpr auto in_nchw_vec_thread_block_desc =
make_ConstantTensorDescriptor(Sequence<NPerThread, CPerThread, HiPerThread, WiPerThread>{}, make_ConstantTensorDescriptor(Sequence<NPerThread, CPerThread, HiPerThread, WiPerThread>{},
in_nchw_vec_block_desc.GetStrides()); in_nchw_vec_block_desc.GetStrides());
constexpr auto wei_kcyx_thread_block_desc = make_ConstantTensorDescriptor( constexpr auto wei_kcyx_vec_thread_block_desc = make_ConstantTensorDescriptor(
Sequence<KPerThread, CPerThread, Y, X>{}, wei_kcyx_vec_block_desc.GetStrides()); Sequence<KPerThread, CPerThread, Y, X>{}, wei_kcyx_vec_block_desc.GetStrides());
constexpr auto out_nkhw_thread_desc = get_convolution_output_default_4d_tensor_descriptor( constexpr auto out_nkhw_thread_desc = get_convolution_output_default_4d_tensor_descriptor(
in_nchw_thread_block_desc, wei_kcyx_thread_block_desc); in_nchw_vec_thread_block_desc, wei_kcyx_vec_thread_block_desc);
// register // register
Float p_out_thread[out_nkhw_thread_desc.GetElementSpace()]; scalar_t p_out_thread[out_nkhw_thread_desc.GetElementSpace()];
// divide block work // divide block work
constexpr unsigned NBlockWork = constexpr unsigned NBlockWork =
...@@ -150,7 +150,7 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw( ...@@ -150,7 +150,7 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw(
constexpr auto blockwise_in_copy = constexpr auto blockwise_in_copy =
Blockwise4dTensorCopy1<BlockSize, Blockwise4dTensorCopy1<BlockSize,
Float, vector_t,
decltype(in_nchw_vec_global_desc), decltype(in_nchw_vec_global_desc),
decltype(in_nchw_vec_block_desc), decltype(in_nchw_vec_block_desc),
decltype(in_nchw_vec_block_desc.GetLengths()), decltype(in_nchw_vec_block_desc.GetLengths()),
...@@ -159,7 +159,7 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw( ...@@ -159,7 +159,7 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw(
#if 0 #if 0
constexpr auto blockwise_wei_copy = constexpr auto blockwise_wei_copy =
Blockwise4dTensorCopy1<BlockSize, Blockwise4dTensorCopy1<BlockSize,
Float, vector_t,
decltype(wei_kcyx_vec_global_desc), decltype(wei_kcyx_vec_global_desc),
decltype(wei_kcyx_vec_block_desc), decltype(wei_kcyx_vec_block_desc),
decltype(wei_kcyx_vec_block_desc.GetLengths()), decltype(wei_kcyx_vec_block_desc.GetLengths()),
...@@ -167,7 +167,7 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw( ...@@ -167,7 +167,7 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw(
#elif 1 #elif 1
const auto blockwise_wei_copy = const auto blockwise_wei_copy =
Blockwise2dTensorCopy3<BlockSize, Blockwise2dTensorCopy3<BlockSize,
Float, vector_t,
decltype(wei_ke_vec_global_desc), decltype(wei_ke_vec_global_desc),
decltype(wei_ke_vec_block_desc), decltype(wei_ke_vec_block_desc),
decltype(wei_ke_vec_block_desc.GetLengths()), decltype(wei_ke_vec_block_desc.GetLengths()),
...@@ -181,16 +181,16 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw( ...@@ -181,16 +181,16 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw(
c_block_data_begin += CPerBlock, __syncthreads()) c_block_data_begin += CPerBlock, __syncthreads())
{ {
// copy input tensor to LDS // copy input tensor to LDS
blockwise_in_copy.Run(p_in_global + in_nchw_vec_global_desc.Get1dIndex(n_block_data_begin, blockwise_in_copy.Run(p_in_vec_global + in_nchw_vec_global_desc.Get1dIndex(n_block_data_begin,
c_block_data_begin, c_block_data_begin,
hi_block_data_begin, hi_block_data_begin,
wi_block_data_begin), wi_block_data_begin),
p_in_block); p_in_vec_block);
// copy weight tensor to LDS // copy weight tensor to LDS
blockwise_wei_copy.Run(p_wei_global + wei_kcyx_vec_global_desc.Get1dIndex( blockwise_wei_copy.Run(p_wei_vec_global + wei_kcyx_vec_global_desc.Get1dIndex(
k_block_data_begin, c_block_data_begin, 0, 0), k_block_data_begin, c_block_data_begin, 0, 0),
p_wei_block); p_wei_vec_block);
__syncthreads(); __syncthreads();
...@@ -199,25 +199,25 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw( ...@@ -199,25 +199,25 @@ __global__ void gridwise_direct_convolution_2_vectorized_nchw_kcyx_nkhw(
// threadwise convolution // threadwise convolution
#if 1 #if 1
threadwise_direct_convolution_2( threadwise_direct_convolution_2(
in_nchw_thread_block_desc, in_nchw_vec_thread_block_desc,
p_in_block + in_nchw_vec_block_desc.Get1dIndex(n_thread_data_begin, p_in_vec_block + in_nchw_vec_block_desc.Get1dIndex(n_thread_data_begin,
c_thread_data, c_thread_data,
hi_thread_data_begin, hi_thread_data_begin,
wi_thread_data_begin), wi_thread_data_begin),
wei_kcyx_thread_block_desc, wei_kcyx_vec_thread_block_desc,
p_wei_block + p_wei_vec_block +
wei_kcyx_vec_block_desc.Get1dIndex(k_thread_data_begin, c_thread_data, 0, 0), wei_kcyx_vec_block_desc.Get1dIndex(k_thread_data_begin, c_thread_data, 0, 0),
out_nkhw_thread_desc, out_nkhw_thread_desc,
p_out_thread); p_out_thread);
#elif 0 #elif 0
threadwise_direct_convolution_3( threadwise_direct_convolution_3(
in_nchw_thread_block_desc, in_nchw_vec_thread_block_desc,
p_in_block + in_nchw_vec_block_desc.Get1dIndex(n_thread_data_begin, p_in_vec_block + in_nchw_vec_block_desc.Get1dIndex(n_thread_data_begin,
c_thread_data, c_thread_data,
hi_thread_data_begin, hi_thread_data_begin,
wi_thread_data_begin), wi_thread_data_begin),
wei_kcyx_thread_block_desc, wei_kcyx_vec_thread_block_desc,
p_wei_block + p_wei_vec_block +
wei_kcyx_vec_block_desc.Get1dIndex(k_thread_data_begin, c_thread_data, 0, 0), wei_kcyx_vec_block_desc.Get1dIndex(k_thread_data_begin, c_thread_data, 0, 0),
out_nkhw_thread_desc, out_nkhw_thread_desc,
p_out_thread); p_out_thread);
......
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