mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-12 09:16:52 +00:00
refactor
This commit is contained in:
@@ -92,10 +92,10 @@ __device__ void blockwise_convolution(InDesc,
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auto f_copy = [](const TFloat& src, TFloat& dst) { dst = src; };
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// copy input tensor into register
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threadwise_4d_tensor_op_in<TFloat,
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decltype(in_thread_src_desc),
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decltype(in_thread_dst_desc),
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decltype(f_copy)>(
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threadwise_4d_tensor_op_binary<TFloat,
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decltype(in_thread_src_desc),
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decltype(in_thread_dst_desc),
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decltype(f_copy)>(
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in_thread_src_desc,
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p_in_lds + in_desc.Get1dIndex(
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n_thread_work_begin, 0, hi_thread_work_begin, wi_thread_work_begin),
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@@ -107,10 +107,10 @@ __device__ void blockwise_convolution(InDesc,
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++k_thread_work_begin)
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{
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// copy weight tensor into register
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threadwise_4d_tensor_op_wei<TFloat,
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decltype(wei_thread_src_desc),
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decltype(wei_thread_dst_desc),
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decltype(f_copy)>(
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threadwise_4d_tensor_op_binary<TFloat,
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decltype(wei_thread_src_desc),
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decltype(wei_thread_dst_desc),
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decltype(f_copy)>(
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wei_thread_src_desc,
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p_wei_lds + wei_desc.Get1dIndex(k_thread_work_begin, 0, 0, 0),
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wei_thread_dst_desc,
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@@ -118,10 +118,10 @@ __device__ void blockwise_convolution(InDesc,
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f_copy);
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// copy output tensor into register
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threadwise_4d_tensor_op_out<TFloat,
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decltype(out_thread_src_desc),
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decltype(out_thread_dst_desc),
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decltype(f_copy)>(
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threadwise_4d_tensor_op_binary<TFloat,
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decltype(out_thread_src_desc),
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decltype(out_thread_dst_desc),
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decltype(f_copy)>(
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out_thread_src_desc,
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p_out_lds + out_desc.Get1dIndex(n_thread_work_begin,
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k_thread_work_begin,
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@@ -143,10 +143,10 @@ __device__ void blockwise_convolution(InDesc,
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p_out_thread);
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// accumulate output tensor into LDS
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threadwise_4d_tensor_op_out<TFloat,
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decltype(out_thread_dst_desc),
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decltype(out_thread_src_desc),
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decltype(f_copy)>(
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threadwise_4d_tensor_op_binary<TFloat,
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decltype(out_thread_dst_desc),
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decltype(out_thread_src_desc),
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decltype(f_copy)>(
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out_thread_dst_desc,
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p_out_thread,
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out_thread_src_desc,
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@@ -5,58 +5,35 @@
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#if THREADWISE_TENSOR_OP_METHOD == 0
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template <class TFloat, class SrcDesc, class DstDesc, class F>
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__device__ void threadwise_4d_tensor_op_in(
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SrcDesc, TFloat* const __restrict__ p_src, DstDesc, TFloat* __restrict__ p_dst, F f)
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__device__ void threadwise_4d_tensor_op_unary(DstDesc, TFloat* __restrict__ p_dst, F f)
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{
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constexpr auto I0 = Index<0>{};
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constexpr auto I1 = Index<1>{};
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constexpr auto I2 = Index<2>{};
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constexpr auto I3 = Index<3>{};
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constexpr auto src_desc = SrcDesc{};
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constexpr auto dst_desc = DstDesc{};
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static_assert(is_same<decltype(src_desc.GetLengths()), decltype(dst_desc.GetLengths())>::value);
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#if 0
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if(threadIdx.x == 0)
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{
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print_ConstantTensorDescriptor(src_desc);
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print_ConstantTensorDescriptor(dst_desc);
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}
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#endif
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for(unsigned did0 = 0; did0 < src_desc.GetLength(I0); ++did0)
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for(unsigned did0 = 0; did0 < dst_desc.GetLength(I0); ++did0)
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{
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for(unsigned did1 = 0; did1 < src_desc.GetLength(I1); ++did1)
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for(unsigned did1 = 0; did1 < dst_desc.GetLength(I1); ++did1)
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{
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for(unsigned did2 = 0; did2 < src_desc.GetLength(I2); ++did2)
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for(unsigned did2 = 0; did2 < dst_desc.GetLength(I2); ++did2)
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{
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for(unsigned did3 = 0; did3 < src_desc.GetLength(I3); ++did3)
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for(unsigned did3 = 0; did3 < dst_desc.GetLength(I3); ++did3)
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{
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const unsigned sindex =
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src_desc.GetStride(I0) * did0 + src_desc.GetStride(I1) * did1 +
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src_desc.GetStride(I2) * did2 + src_desc.GetStride(I3) * did3;
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const unsigned dindex =
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dst_desc.GetStride(I0) * did0 + dst_desc.GetStride(I1) * did1 +
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dst_desc.GetStride(I2) * did2 + dst_desc.GetStride(I3) * did3;
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f(p_src[sindex], p_dst[dindex]);
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#if 0
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if(threadIdx.x == 0)
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{
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printf("threadwise_4d_tensor_op: 1: thread id %u, \t"
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"sindex %u, p_src[sindex] %f, \t"
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"dindex %u, p_dst[dindex] %f\n",
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threadIdx.x,
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sindex,
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p_src[sindex],
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dindex,
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p_dst[dindex]);
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}
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#endif
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f(p_dst[dindex]);
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}
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}
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}
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@@ -64,7 +41,7 @@ __device__ void threadwise_4d_tensor_op_in(
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}
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template <class TFloat, class SrcDesc, class DstDesc, class F>
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__device__ void threadwise_4d_tensor_op_wei(
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__device__ void threadwise_4d_tensor_op_binary(
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SrcDesc, TFloat* const __restrict__ p_src, DstDesc, TFloat* __restrict__ p_dst, F f)
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{
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constexpr auto I0 = Index<0>{};
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@@ -102,79 +79,6 @@ __device__ void threadwise_4d_tensor_op_wei(
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dst_desc.GetStride(I2) * did2 + dst_desc.GetStride(I3) * did3;
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f(p_src[sindex], p_dst[dindex]);
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#if 0
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if(threadIdx.x == 0)
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{
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printf("threadwise_4d_tensor_op: 1: thread id %u, \t"
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"sindex %u, p_src[sindex] %f, \t"
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"dindex %u, p_dst[dindex] %f\n",
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threadIdx.x,
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sindex,
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p_src[sindex],
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dindex,
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p_dst[dindex]);
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}
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#endif
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}
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}
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}
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}
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}
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template <class TFloat, class SrcDesc, class DstDesc, class F>
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__device__ void threadwise_4d_tensor_op_out(
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SrcDesc, TFloat* const __restrict__ p_src, DstDesc, TFloat* __restrict__ p_dst, F f)
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{
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constexpr auto I0 = Index<0>{};
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constexpr auto I1 = Index<1>{};
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constexpr auto I2 = Index<2>{};
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constexpr auto I3 = Index<3>{};
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constexpr auto src_desc = SrcDesc{};
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constexpr auto dst_desc = DstDesc{};
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static_assert(is_same<decltype(src_desc.GetLengths()), decltype(dst_desc.GetLengths())>::value);
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#if 0
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if(threadIdx.x == 0)
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{
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print_ConstantTensorDescriptor(src_desc);
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print_ConstantTensorDescriptor(dst_desc);
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}
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#endif
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for(unsigned did0 = 0; did0 < src_desc.GetLength(I0); ++did0)
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{
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for(unsigned did1 = 0; did1 < src_desc.GetLength(I1); ++did1)
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{
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for(unsigned did2 = 0; did2 < src_desc.GetLength(I2); ++did2)
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{
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for(unsigned did3 = 0; did3 < src_desc.GetLength(I3); ++did3)
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{
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const unsigned sindex =
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src_desc.GetStride(I0) * did0 + src_desc.GetStride(I1) * did1 +
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src_desc.GetStride(I2) * did2 + src_desc.GetStride(I3) * did3;
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const unsigned dindex =
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dst_desc.GetStride(I0) * did0 + dst_desc.GetStride(I1) * did1 +
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dst_desc.GetStride(I2) * did2 + dst_desc.GetStride(I3) * did3;
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f(p_src[sindex], p_dst[dindex]);
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#if 0
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if(threadIdx.x == 0)
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{
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printf("threadwise_4d_tensor_op: 1: thread id %u, \t"
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"sindex %u, p_src[sindex] %f, \t"
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"dindex %u, p_dst[dindex] %f\n",
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threadIdx.x,
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sindex,
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p_src[sindex],
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dindex,
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p_dst[dindex]);
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}
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#endif
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}
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}
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}
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