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Commit 08c7f743 authored by Chao Liu's avatar Chao Liu
Browse files

add 2nd version of blockwise_tensor_op

parent 5d2cafcb
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Inline Side-by-side
Showing with 309 additions and 205 deletions
driver/conv.cu
View file @ 08c7f743
...@@ -137,23 +137,31 @@ void device_convolution( ...@@ -137,23 +137,31 @@ void device_convolution(
constexpr unsigned CPerBlockLoop = 1; constexpr unsigned CPerBlockLoop = 1;
constexpr unsigned OutTileSizeH = 2; constexpr unsigned OutTileSizeH = 2;
constexpr unsigned OutTileSizeW = 2; constexpr unsigned OutTileSizeW = 2;
constexpr unsigned YPerBlock = 4; constexpr unsigned YPerBlock = 8;
constexpr unsigned XPerBlock = 8; constexpr unsigned XPerBlock = 16;
constexpr unsigned NBlockCopyLen0 = 1; constexpr unsigned NBlockCopyLen0 = 1;
constexpr unsigned NBlockCopyLen1 = 1; constexpr unsigned NBlockCopyLen1 = 1;
constexpr unsigned NBlockCopyLen2 = 2; constexpr unsigned NBlockCopyLen2 = 2;
constexpr unsigned NBlockCopyLen3 = 16; constexpr unsigned NBlockCopyLen3 = 16;
constexpr unsigned nblock = (out_desc.GetLength(I0) / NPerBlock) * constexpr unsigned BlockSize = 128;
(out_desc.GetLength(I1) / KPerBlock) *
(out_desc.GetLength(I2) / (OutTileSizeH * YPerBlock)) *
(out_desc.GetLength(I3) / (OutTileSizeW * XPerBlock));
dim3 block_dim(32); constexpr unsigned GridSize = (out_desc.GetLength(I0) / NPerBlock) *
dim3 grid_dim(nblock); (out_desc.GetLength(I1) / KPerBlock) *
(out_desc.GetLength(I2) / (OutTileSizeH * YPerBlock)) *
(out_desc.GetLength(I3) / (OutTileSizeW * XPerBlock));
printf("__func__: nblock %u \n", nblock); dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
cudaEvent_t start, stop;
float elapsedTime;
cudaEventCreate(&start);
cudaEventRecord(start, 0);
gridwise_convolution<T, gridwise_convolution<T,
InDesc, InDesc,
...@@ -169,7 +177,9 @@ void device_convolution( ...@@ -169,7 +177,9 @@ void device_convolution(
NBlockCopyLen0, NBlockCopyLen0,
NBlockCopyLen1, NBlockCopyLen1,
NBlockCopyLen2, NBlockCopyLen2,
NBlockCopyLen3> NBlockCopyLen3,
BlockSize,
GridSize>
<<<grid_dim, block_dim>>>(InDesc{}, <<<grid_dim, block_dim>>>(InDesc{},
static_cast<T*>(in_device_buf.GetDeviceBuffer()), static_cast<T*>(in_device_buf.GetDeviceBuffer()),
WeiDesc{}, WeiDesc{},
...@@ -177,6 +187,13 @@ void device_convolution( ...@@ -177,6 +187,13 @@ void device_convolution(
OutDesc{}, OutDesc{},
static_cast<T*>(out_device_buf.GetDeviceBuffer())); static_cast<T*>(out_device_buf.GetDeviceBuffer()));
cudaEventCreate(&stop);
cudaEventRecord(stop, 0);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&elapsedTime, start, stop);
printf("Elapsed time : %f ms\n", elapsedTime);
checkCudaErrors(cudaGetLastError()); checkCudaErrors(cudaGetLastError());
out_device_buf.FromDevice(out.mData.data()); out_device_buf.FromDevice(out.mData.data());
} }
...@@ -231,7 +248,7 @@ int main() ...@@ -231,7 +248,7 @@ int main()
int num_thread = std::thread::hardware_concurrency(); int num_thread = std::thread::hardware_concurrency();
#if 1 #if 0
in.GenerateTensorValue(GeneratorTensor<float>{}, num_thread); in.GenerateTensorValue(GeneratorTensor<float>{}, num_thread);
wei.GenerateTensorValue(GeneratorTensor<float>{}, num_thread); wei.GenerateTensorValue(GeneratorTensor<float>{}, num_thread);
out_host.GenerateTensorValue(GeneratorConstant<float>{0}, num_thread); out_host.GenerateTensorValue(GeneratorConstant<float>{0}, num_thread);
...@@ -241,9 +258,7 @@ int main() ...@@ -241,9 +258,7 @@ int main()
device_convolution(in_desc, in, wei_desc, wei, out_desc, out_device); device_convolution(in_desc, in, wei_desc, wei, out_desc, out_device);
std::cout << __func__ << ": done" << std::endl; #if 0
#if 1
host_convolution(in, wei, out_host); host_convolution(in, wei, out_host);
float error = 0; float error = 0;
......
src/include/blockwise_tensor_op.cuh 0 → 100644
View file @ 08c7f743
#pragma once
#include "constant_tensor_descriptor.cuh"
#if 0
template <class TFloat,
class SrcDesc,
class DstDesc,
unsigned NWorkLen0,
unsigned NWorkLen1,
unsigned NWorkLen2,
unsigned NWorkLen3,
class F,
unsigned BlockSize>
__device__ void blockwise_4d_tensor_op(
SrcDesc, TFloat* const __restrict__ p_src, DstDesc, TFloat* __restrict__ p_dst, F f)
{
constexpr auto I0 = Index<0>{};
constexpr auto I1 = Index<1>{};
constexpr auto I2 = Index<2>{};
constexpr auto I3 = Index<3>{};
constexpr auto src_desc = SrcDesc{};
constexpr auto dst_desc = DstDesc{};
static_assert(is_same<decltype(src_desc.GetLengths()), decltype(dst_desc.GetLengths())>::value);
#if 0
if(threadIdx.x == 0)
{
print_ConstantTensorDescriptor(src_desc, "blockwise_4d_tensor_op: src_desc: ");
print_ConstantTensorDescriptor(dst_desc, "blockwise_4d_tensor_op: dst_desc: ");
}
#endif
constexpr unsigned NWorkStride3 = 1;
constexpr unsigned NWorkStride2 = NWorkLen3 * NWorkStride3;
constexpr unsigned NWorkStride1 = NWorkLen2 * NWorkStride2;
constexpr unsigned NWorkStride0 = NWorkLen1 * NWorkStride1;
unsigned itmp =
threadIdx.x;
const unsigned did0_begin = itmp / NWorkStride0;
itmp -= did0_begin * NWorkStride0;
const unsigned did1_begin = itmp / NWorkStride1;
itmp -= did1_begin * NWorkStride1;
const unsigned did2_begin = itmp / NWorkStride2;
itmp -= did2_begin * NWorkStride2;
const unsigned did3_begin = itmp / NWorkStride3;
for(unsigned did0 = did0_begin; did0 < src_desc.GetLength(I0); did0 += NWorkLen0)
{
for(unsigned did1 = did1_begin; did1 < src_desc.GetLength(I1); did1 += NWorkLen1)
{
for(unsigned did2 = did2_begin; did2 < src_desc.GetLength(I2); did2 += NWorkLen2)
{
for(unsigned did3 = did3_begin; did3 < src_desc.GetLength(I3); did3 += NWorkLen3)
{
const unsigned sindex =
src_desc.GetStride(I0) * did0 + src_desc.GetStride(I1) * did1 +
src_desc.GetStride(I2) * did2 + src_desc.GetStride(I3) * did3;
const unsigned dindex =
dst_desc.GetStride(I0) * did0 + dst_desc.GetStride(I1) * did1 +
dst_desc.GetStride(I2) * did2 + dst_desc.GetStride(I3) * did3;
f(p_src[dindex], p_dst[sindex]);
#if 0
// if(threadIdx.x == 0)
{
printf("blockwise_4d_tensor_op: 1: thread id %u, \t"
"sindex %u, p_src[sindex] %f, \t"
"dindex %u, p_dst[dindex] %f\n",
threadIdx.x,
sindex,
p_src[sindex],
dindex,
p_dst[dindex]);
}
#endif
}
}
}
}
}
#elif 1
template <class TFloat,
class SrcDesc,
class DstDesc,
unsigned NWorkLen0,
unsigned NWorkLen1,
unsigned NWorkLen2,
unsigned NWorkLen3,
class F,
unsigned BlockSize>
__device__ void blockwise_4d_tensor_op(
SrcDesc, TFloat* const __restrict__ p_src, DstDesc, TFloat* __restrict__ p_dst, F f)
{
constexpr auto I0 = Index<0>{};
constexpr auto I1 = Index<1>{};
constexpr auto I2 = Index<2>{};
constexpr auto I3 = Index<3>{};
constexpr auto src_desc = SrcDesc{};
constexpr auto dst_desc = DstDesc{};
static_assert(is_same<decltype(src_desc.GetLengths()), decltype(dst_desc.GetLengths())>::value);
#if 0
if(threadIdx.x == 0)
{
print_ConstantTensorDescriptor(src_desc, "blockwise_4d_tensor_op: src_desc: ");
print_ConstantTensorDescriptor(dst_desc, "blockwise_4d_tensor_op: dst_desc: ");
}
#endif
unsigned lid = threadIdx.x;
for(unsigned i = lid; i < src_desc.GetElementSize(); i += BlockSize)
{
unsigned is = i;
const unsigned did0 = is / src_desc.GetStride(I0);
is -= did0 * src_desc.GetStride(I0);
const unsigned did1 = is / src_desc.GetStride(I1);
is -= did1 * src_desc.GetStride(I1);
const unsigned did2 = is / src_desc.GetStride(I2);
is -= did2 * src_desc.GetStride(I2);
const unsigned did3 = is / src_desc.GetStride(I3);
const unsigned sindex = src_desc.GetStride(I0) * did0 + src_desc.GetStride(I1) * did1 +
src_desc.GetStride(I2) * did2 + src_desc.GetStride(I3) * did3;
const unsigned dindex = dst_desc.GetStride(I0) * did0 + dst_desc.GetStride(I1) * did1 +
dst_desc.GetStride(I2) * did2 + dst_desc.GetStride(I3) * did3;
f(p_src[sindex], p_dst[dindex]);
}
}
#endif
src/include/common.cuh 0 → 100644
View file @ 08c7f743
#pragma once
template <class T1, class T2>
struct is_same
{
static const bool value = false;
};
template <class T>
struct is_same<T, T>
{
static const bool value = true;
};
src/include/constant_tensor_descriptor.cuh
View file @ 08c7f743
#pragma once #pragma once
#include "helper_cuda.h" #include "common.cuh"
template <class T, T N> template <class T, T N>
struct Constant struct Constant
......
src/include/direct_convolution.cuh
View file @ 08c7f743
#pragma once #pragma once
#include "constant_tensor_descriptor.cuh" #include "constant_tensor_descriptor.cuh"
#include "blockwise_tensor_op.cuh"
template <class TFloat, #include "threadwise_tensor_op.cuh"
class SrcDesc,
class DstDesc,
unsigned NWorkLen0,
unsigned NWorkLen1,
unsigned NWorkLen2,
unsigned NWorkLen3,
class F>
__device__ void blockwise_4d_tensor_op(
SrcDesc, TFloat* const __restrict__ p_src, DstDesc, TFloat* __restrict__ p_dst, F f)
{
constexpr auto I0 = Index<0>{};
constexpr auto I1 = Index<1>{};
constexpr auto I2 = Index<2>{};
constexpr auto I3 = Index<3>{};
constexpr auto src_desc = SrcDesc{};
constexpr auto dst_desc = DstDesc{};
#if 0
if(threadIdx.x == 0)
{
print_ConstantTensorDescriptor(src_desc, "blockwise_4d_tensor_op: src_desc: ");
print_ConstantTensorDescriptor(dst_desc, "blockwise_4d_tensor_op: dst_desc: ");
}
#endif
constexpr unsigned NWorkStride3 = 1;
constexpr unsigned NWorkStride2 = NWorkLen3 * NWorkStride3;
constexpr unsigned NWorkStride1 = NWorkLen2 * NWorkStride2;
constexpr unsigned NWorkStride0 = NWorkLen1 * NWorkStride1;
unsigned itmp =
threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * (blockDim.y * blockDim.x);
const unsigned did0_begin = itmp / NWorkStride0;
itmp -= did0_begin * NWorkStride0;
const unsigned did1_begin = itmp / NWorkStride1;
itmp -= did1_begin * NWorkStride1;
const unsigned did2_begin = itmp / NWorkStride2;
itmp -= did2_begin * NWorkStride2;
const unsigned did3_begin = itmp / NWorkStride3;
for(unsigned did0 = did0_begin; did0 < src_desc.GetLength(I0); did0 += NWorkLen0)
{
for(unsigned did1 = did1_begin; did1 < src_desc.GetLength(I1); did1 += NWorkLen1)
{
for(unsigned did2 = did2_begin; did2 < src_desc.GetLength(I2); did2 += NWorkLen2)
{
for(unsigned did3 = did3_begin; did3 < src_desc.GetLength(I3); did3 += NWorkLen3)
{
const unsigned sindex =
src_desc.GetStride(I0) * did0 + src_desc.GetStride(I1) * did1 +
src_desc.GetStride(I2) * did2 + src_desc.GetStride(I3) * did3;
const unsigned dindex =
dst_desc.GetStride(I0) * did0 + dst_desc.GetStride(I1) * did1 +
dst_desc.GetStride(I2) * did2 + dst_desc.GetStride(I3) * did3;
f(p_src[dindex], p_dst[sindex]);
#if 0
// if(threadIdx.x == 0)
{
printf("blockwise_4d_tensor_op: 1: thread id %u, \t"
"sindex %u, p_src[sindex] %f, \t"
"dindex %u, p_dst[dindex] %f\n",
threadIdx.x,
sindex,
p_src[sindex],
dindex,
p_dst[dindex]);
}
#endif
}
}
}
}
}
template <class TFloat, class SrcDesc, class DstDesc, class F>
__device__ void threadwise_4d_tensor_op(
SrcDesc, TFloat* const __restrict__ p_src, DstDesc, TFloat* __restrict__ p_dst, F f)
{
constexpr auto I0 = Index<0>{};
constexpr auto I1 = Index<1>{};
constexpr auto I2 = Index<2>{};
constexpr auto I3 = Index<3>{};
constexpr auto src_desc = SrcDesc{};
constexpr auto dst_desc = DstDesc{};
#if 0
if(threadIdx.x == 0)
{
print_ConstantTensorDescriptor(src_desc);
print_ConstantTensorDescriptor(dst_desc);
}
#endif
for(unsigned did0 = 0; did0 < src_desc.GetLength(I0); ++did0)
{
for(unsigned did1 = 0; did1 < src_desc.GetLength(I1); ++did1)
{
for(unsigned did2 = 0; did2 < src_desc.GetLength(I2); ++did2)
{
for(unsigned did3 = 0; did3 < src_desc.GetLength(I3); ++did3)
{
const unsigned sindex =
src_desc.GetStride(I0) * did0 + src_desc.GetStride(I1) * did1 +
src_desc.GetStride(I2) * did2 + src_desc.GetStride(I3) * did3;
const unsigned dindex =
dst_desc.GetStride(I0) * did0 + dst_desc.GetStride(I1) * did1 +
dst_desc.GetStride(I2) * did2 + dst_desc.GetStride(I3) * did3;
f(p_src[sindex], p_dst[dindex]);
#if 0
if(threadIdx.x == 0)
{
printf("threadwise_4d_tensor_op: 1: thread id %u, \t"
"sindex %u, p_src[sindex] %f, \t"
"dindex %u, p_dst[dindex] %f\n",
threadIdx.x,
sindex,
p_src[sindex],
dindex,
p_dst[dindex]);
}
#endif
}
}
}
}
}
template <class TFloat, class InDesc, class WeiDesc, class OutDesc> template <class TFloat, class InDesc, class WeiDesc, class OutDesc>
__device__ void threadwise_direct_convolution(InDesc, __device__ void threadwise_direct_convolution(InDesc,
...@@ -232,7 +91,8 @@ template <class TFloat, ...@@ -232,7 +91,8 @@ template <class TFloat,
class WeiDesc, class WeiDesc,
class OutDesc, class OutDesc,
unsigned OutTileSizeH, unsigned OutTileSizeH,
unsigned OutTileSizeW> unsigned OutTileSizeW,
unsigned BlockSize>
__device__ void blockwise_convolution(InDesc, __device__ void blockwise_convolution(InDesc,
TFloat* const __restrict__ p_in, TFloat* const __restrict__ p_in,
WeiDesc, WeiDesc,
...@@ -290,14 +150,11 @@ __device__ void blockwise_convolution(InDesc, ...@@ -290,14 +150,11 @@ __device__ void blockwise_convolution(InDesc,
constexpr auto out_thread_dst_desc = constexpr auto out_thread_dst_desc =
make_ConstantTensorDescriptor(out_thread_src_desc.GetLengths()); make_ConstantTensorDescriptor(out_thread_src_desc.GetLengths());
const unsigned thread_sz = blockDim.x * blockDim.y * blockDim.z; const unsigned thread_id = threadIdx.x;
const unsigned thread_id =
threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * (blockDim.y * blockDim.x);
for(unsigned thread_work_id = thread_id; for(unsigned thread_work_id = thread_id;
thread_work_id < NPerBlock * KPerBlock * YPerBlock * XPerBlock; thread_work_id < NPerBlock * KPerBlock * YPerBlock * XPerBlock;
thread_work_id += thread_sz) thread_work_id += BlockSize)
{ {
unsigned itmp = thread_work_id; unsigned itmp = thread_work_id;
unsigned n_thread_work_id = itmp / (KPerBlock * YPerBlock * XPerBlock); unsigned n_thread_work_id = itmp / (KPerBlock * YPerBlock * XPerBlock);
...@@ -397,7 +254,9 @@ template <class TFloat, ...@@ -397,7 +254,9 @@ template <class TFloat,
unsigned NBlockCopyLen0, unsigned NBlockCopyLen0,
unsigned NBlockCopyLen1, unsigned NBlockCopyLen1,
unsigned NBlockCopyLen2, unsigned NBlockCopyLen2,
unsigned NBlockCopyLen3> unsigned NBlockCopyLen3,
unsigned BlockSize,
unsigned GridSize>
__global__ void gridwise_convolution(InDesc, __global__ void gridwise_convolution(InDesc,
TFloat* const __restrict__ p_in, TFloat* const __restrict__ p_in,
WeiDesc, WeiDesc,
...@@ -452,8 +311,7 @@ __global__ void gridwise_convolution(InDesc, ...@@ -452,8 +311,7 @@ __global__ void gridwise_convolution(InDesc,
__shared__ TFloat p_wei_block[wei_block_size]; __shared__ TFloat p_wei_block[wei_block_size];
__shared__ TFloat p_out_block[out_block_size]; __shared__ TFloat p_out_block[out_block_size];
const unsigned block_id = const unsigned block_id = blockIdx.x;
blockIdx.x + blockIdx.y * gridDim.x + blockIdx.z * (gridDim.y * gridDim.x);
unsigned itmp = block_id; unsigned itmp = block_id;
unsigned n_block_work_id = itmp / (KBlockWork * YBlockWork * XBlockWork); unsigned n_block_work_id = itmp / (KBlockWork * YBlockWork * XBlockWork);
...@@ -515,17 +373,16 @@ __global__ void gridwise_convolution(InDesc, ...@@ -515,17 +373,16 @@ __global__ void gridwise_convolution(InDesc,
NBlockCopyLen1, NBlockCopyLen1,
NBlockCopyLen2, NBlockCopyLen2,
NBlockCopyLen3, NBlockCopyLen3,
decltype(f_copy)>( decltype(f_copy),
in_block_glb_desc, BlockSize>(in_block_glb_desc,
p_in + in_block_glb_desc.Get1dIndex(n_block_work_begin, p_in + in_block_glb_desc.Get1dIndex(n_block_work_begin,
c_block_work_begin, c_block_work_begin,
hi_block_work_begin, hi_block_work_begin,
wi_block_work_begin), wi_block_work_begin),
in_block_lds_desc, in_block_lds_desc,
p_in_block, p_in_block,
f_copy); f_copy);
#if 1
// copy weight tensor to LDS // copy weight tensor to LDS
blockwise_4d_tensor_op<TFloat, blockwise_4d_tensor_op<TFloat,
decltype(wei_block_glb_desc), decltype(wei_block_glb_desc),
...@@ -534,7 +391,8 @@ __global__ void gridwise_convolution(InDesc, ...@@ -534,7 +391,8 @@ __global__ void gridwise_convolution(InDesc,
NBlockCopyLen1, NBlockCopyLen1,
NBlockCopyLen2, NBlockCopyLen2,
NBlockCopyLen3, NBlockCopyLen3,
decltype(f_copy)>( decltype(f_copy),
BlockSize>(
wei_block_glb_desc, wei_block_glb_desc,
p_wei + wei_block_glb_desc.Get1dIndex(k_block_work_begin, c_block_work_begin, 0, 0), p_wei + wei_block_glb_desc.Get1dIndex(k_block_work_begin, c_block_work_begin, 0, 0),
wei_block_lds_desc, wei_block_lds_desc,
...@@ -549,17 +407,18 @@ __global__ void gridwise_convolution(InDesc, ...@@ -549,17 +407,18 @@ __global__ void gridwise_convolution(InDesc,
NBlockCopyLen1, NBlockCopyLen1,
NBlockCopyLen2, NBlockCopyLen2,
NBlockCopyLen3, NBlockCopyLen3,
decltype(f_copy)>( decltype(f_copy),
out_block_glb_desc, BlockSize>(out_block_glb_desc,
p_out + out_block_glb_desc.Get1dIndex(n_block_work_begin, p_out +
k_block_work_begin, out_block_glb_desc.Get1dIndex(n_block_work_begin,
ho_block_work_begin, k_block_work_begin,
wo_block_work_begin), ho_block_work_begin,
out_block_lds_desc, wo_block_work_begin),
p_out_block, out_block_lds_desc,
f_copy); p_out_block,
f_copy);
#if 0 #if 1
__syncthreads(); __syncthreads();
#endif #endif
...@@ -569,14 +428,15 @@ __global__ void gridwise_convolution(InDesc, ...@@ -569,14 +428,15 @@ __global__ void gridwise_convolution(InDesc,
decltype(wei_block_lds_desc), decltype(wei_block_lds_desc),
decltype(out_block_lds_desc), decltype(out_block_lds_desc),
OutTileSizeH, OutTileSizeH,
OutTileSizeW>(in_block_lds_desc, OutTileSizeW,
p_in_block, BlockSize>(in_block_lds_desc,
wei_block_lds_desc, p_in_block,
p_wei_block, wei_block_lds_desc,
out_block_lds_desc, p_wei_block,
p_out_block); out_block_lds_desc,
p_out_block);
#if 0 #if 1
__syncthreads(); __syncthreads();
#endif #endif
...@@ -588,15 +448,15 @@ __global__ void gridwise_convolution(InDesc, ...@@ -588,15 +448,15 @@ __global__ void gridwise_convolution(InDesc,
NBlockCopyLen1, NBlockCopyLen1,
NBlockCopyLen2, NBlockCopyLen2,
NBlockCopyLen3, NBlockCopyLen3,
decltype(f_copy)>( decltype(f_copy),
out_block_lds_desc, BlockSize>(out_block_lds_desc,
p_out_block, p_out_block,
out_block_glb_desc, out_block_glb_desc,
p_out + out_block_glb_desc.Get1dIndex(n_block_work_begin, p_out +
k_block_work_begin, out_block_glb_desc.Get1dIndex(n_block_work_begin,
ho_block_work_begin, k_block_work_begin,
wo_block_work_begin), ho_block_work_begin,
f_copy); wo_block_work_begin),
#endif f_copy);
} }
} }
src/include/threadwise_tensor_op.cuh 0 → 100644
View file @ 08c7f743
#pragma once
#include "constant_tensor_descriptor.cuh"
template <class TFloat, class SrcDesc, class DstDesc, class F>
__device__ void threadwise_4d_tensor_op(
SrcDesc, TFloat* const __restrict__ p_src, DstDesc, TFloat* __restrict__ p_dst, F f)
{
constexpr auto I0 = Index<0>{};
constexpr auto I1 = Index<1>{};
constexpr auto I2 = Index<2>{};
constexpr auto I3 = Index<3>{};
constexpr auto src_desc = SrcDesc{};
constexpr auto dst_desc = DstDesc{};
static_assert(is_same<decltype(src_desc.GetLengths()), decltype(dst_desc.GetLengths())>::value);
#if 0
if(threadIdx.x == 0)
{
print_ConstantTensorDescriptor(src_desc);
print_ConstantTensorDescriptor(dst_desc);
}
#endif
for(unsigned did0 = 0; did0 < src_desc.GetLength(I0); ++did0)
{
for(unsigned did1 = 0; did1 < src_desc.GetLength(I1); ++did1)
{
for(unsigned did2 = 0; did2 < src_desc.GetLength(I2); ++did2)
{
for(unsigned did3 = 0; did3 < src_desc.GetLength(I3); ++did3)
{
const unsigned sindex =
src_desc.GetStride(I0) * did0 + src_desc.GetStride(I1) * did1 +
src_desc.GetStride(I2) * did2 + src_desc.GetStride(I3) * did3;
const unsigned dindex =
dst_desc.GetStride(I0) * did0 + dst_desc.GetStride(I1) * did1 +
dst_desc.GetStride(I2) * did2 + dst_desc.GetStride(I3) * did3;
f(p_src[sindex], p_dst[dindex]);
#if 0
if(threadIdx.x == 0)
{
printf("threadwise_4d_tensor_op: 1: thread id %u, \t"
"sindex %u, p_src[sindex] %f, \t"
"dindex %u, p_dst[dindex] %f\n",
threadIdx.x,
sindex,
p_src[sindex],
dindex,
p_dst[dindex]);
}
#endif
}
}
}
}
}
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