mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-13 01:36:06 +00:00
convolution: init cuda run
This commit is contained in:
Chao Liu
@@ -1,37 +1,31 @@
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#pragma once
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#include <algorithm>
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#include "helper_cuda.h"
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#include "tensor.hpp"
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template <unsigned NDim>
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struct DeviceTensorDescriptor
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{
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DeviceTensorDescriptor() = delete;
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__host__ __device__ DeviceTensorDescriptor() = default;
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__host__ DeviceTensorDescriptor(const TensorDescriptor& host_desc)
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: mDataType(host_desc.GetDataType()), mDim(host_desc.GetDimension())
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{
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std::size_t data_sz = host_desc.GetDataType() == DataType_t::Float ? 4 : 2;
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checkCudaErrors(cudaMalloc(&mpLengths, data_sz * mDim));
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checkCudaErrors(cudaMalloc(&mpStrides, data_sz * mDim));
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checkCudaErrors(cudaMemcpy(
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mpLengths, host_desc.GetLengths().data(), data_sz * mDim, cudaMemcpyHostToDevice));
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checkCudaErrors(cudaMemcpy(
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mpStrides, host_desc.GetStrides().data(), data_sz * mDim, cudaMemcpyHostToDevice));
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assert(NDim == host_desc.GetDimension());
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std::copy(host_desc.GetLengths().begin(), host_desc.GetLengths().end(), mpLengths);
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std::copy(host_desc.GetStrides().begin(), host_desc.GetStrides().end(), mpStrides);
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}
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__host__ ~DeviceTensorDescriptor()
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__host__ __device__ unsigned GetLength(unsigned i) const { return mpLengths[i]; }
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__host__ __device__ unsigned long GetStride(unsigned i) const { return mpStrides[i]; }
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// this is ugly
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__host__ __device__ unsigned long
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Get1dIndex(unsigned n, unsigned c, unsigned h, unsigned w) const
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{
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#if 0
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if(mpLengths != nullptr)
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checkCudaErrors(cudaFree(mpLengths));
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if(mpStrides != nullptr)
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checkCudaErrors(cudaFree(mpStrides));
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#endif
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return n * mpStrides[0] + c * mpStrides[1] + h * mpStrides[2] + w * mpStrides[3];
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}
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DataType_t mDataType;
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unsigned long mDim;
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unsigned long* mpLengths = nullptr;
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unsigned long* mpStrides = nullptr;
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unsigned mpLengths[NDim];
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unsigned long mpStrides[NDim];
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};
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@@ -1,12 +1,458 @@
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#pragma once
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#include "device_tensor.cuh"
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template <class TFloat, int NBlockDim>
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__global__ void direct_convolution(DeviceTensorDescriptor in_desc,
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TFloat* const p_in,
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DeviceTensorDescriptor wei_desc,
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TFloat* const p_wei,
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DeviceTensorDescriptor out_desc,
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TFloat* p_out)
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template <class TFloat,
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unsigned NWorkLen0,
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unsigned NWorkLen1,
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unsigned NWorkLen2,
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unsigned NWorkLen3,
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class F>
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__device__ void blockwise_4d_tensor_op(const DeviceTensorDescriptor<4>& src_desc,
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TFloat* const __restrict__ p_src,
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const DeviceTensorDescriptor<4>& dst_desc,
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TFloat* __restrict__ p_dst,
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F f)
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{
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#if 1
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if(threadIdx.x < 100)
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{
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printf("====== blockwise_4d_tensor_op: \t"
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"threadIdx.x %u, p_src[threadIdx.x] %f, p_dst[threadIdx.x] %f\n",
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threadIdx.x, p_src[threadIdx.x], p_dst[threadIdx.x]);
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}
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#endif
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constexpr unsigned NWorkStride3 = 1;
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constexpr unsigned NWorkStride2 = NWorkLen3 * NWorkStride3;
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constexpr unsigned NWorkStride1 = NWorkLen2 * NWorkStride2;
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constexpr unsigned NWorkStride0 = NWorkLen1 * NWorkStride1;
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unsigned itmp =
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threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * (blockDim.y * blockDim.x);
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const unsigned did0_begin = itmp / NWorkStride0;
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itmp -= did0_begin * NWorkStride0;
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const unsigned did1_begin = itmp / NWorkStride1;
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itmp -= did1_begin * NWorkStride1;
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const unsigned did2_begin = itmp / NWorkStride2;
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itmp -= did2_begin * NWorkStride2;
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const unsigned did3_begin = itmp / NWorkStride3;
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for(unsigned did0 = did0_begin; did0 < src_desc.GetLength(0); did0 += NWorkLen0)
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{
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for(unsigned did1 = did1_begin; did1 < src_desc.GetLength(1); did1 += NWorkLen1)
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{
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for(unsigned did2 = did2_begin; did2 < src_desc.GetLength(2); did2 += NWorkLen2)
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{
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for(unsigned did3 = did3_begin; did3 < src_desc.GetLength(3); did3 += NWorkLen3)
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{
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const unsigned sindex =
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src_desc.GetStride(0) * did0 + src_desc.GetStride(1) * did1 +
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src_desc.GetStride(2) * did2 + src_desc.GetStride(3) * did3;
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const unsigned dindex =
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dst_desc.GetStride(0) * did0 + dst_desc.GetStride(1) * did1 +
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dst_desc.GetStride(2) * did2 + dst_desc.GetStride(3) * did3;
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f(p_dst[dindex], p_src[sindex]);
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#if 1
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printf("thread id %u, dindex %u, p_dst[dindex] %f, sindex %u, p_src[sindex] %f\n",
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threadIdx.x, dindex, p_dst[dindex], sindex, p_src[sindex]);
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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 F>
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__device__ void threadwise_4d_tensor_op(const DeviceTensorDescriptor<4>& src_desc,
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TFloat* const __restrict__ p_src,
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const DeviceTensorDescriptor<4>& dst_desc,
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TFloat* __restrict__ p_dst,
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F f)
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{
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for(unsigned did0 = 0; did0 < src_desc.GetLength(0); ++did0)
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{
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for(unsigned did1 = 0; did1 < src_desc.GetLength(1); ++did1)
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{
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for(unsigned did2 = 0; did2 < src_desc.GetLength(2); ++did2)
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{
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for(unsigned did3 = 0; did3 < src_desc.GetLength(3); ++did3)
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{
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const unsigned sindex =
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src_desc.GetStride(0) * did0 + src_desc.GetStride(1) * did1 +
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src_desc.GetStride(2) * did2 + src_desc.GetStride(3) * did3;
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const unsigned dindex =
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dst_desc.GetStride(0) * did0 + dst_desc.GetStride(1) * did1 +
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dst_desc.GetStride(2) * did2 + dst_desc.GetStride(3) * did3;
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f(p_dst[dindex], p_src[sindex]);
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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>
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__device__ void threadwise_direct_convolution(const DeviceTensorDescriptor<4>& in_desc,
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TFloat* const __restrict__ p_in,
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const DeviceTensorDescriptor<4>& wei_desc,
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TFloat* const __restrict__ p_wei,
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const DeviceTensorDescriptor<4>& out_desc,
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TFloat* __restrict__ p_out)
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{
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for(unsigned n = 0; n < out_desc.GetLength(0); ++n)
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{
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for(unsigned k = 0; k < out_desc.GetLength(1); ++k)
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{
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for(unsigned ho = 0; ho < out_desc.GetLength(2); ++ho)
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{
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for(unsigned wo = 0; wo < out_desc.GetLength(3); ++wo)
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{
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for(unsigned c = 0; c < wei_desc.GetLength(1); ++c)
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{
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for(unsigned s = 0; s < wei_desc.GetLength(2); ++s)
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{
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for(unsigned r = 0; r < wei_desc.GetLength(3); ++r)
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{
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const unsigned hi = ho + s;
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const unsigned wi = wo + r;
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const unsigned in_index =
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in_desc.GetStride(0) * n + in_desc.GetStride(1) * c +
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in_desc.GetStride(2) * hi + in_desc.GetStride(3) * wi;
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const unsigned wei_index =
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wei_desc.GetStride(0) * k + wei_desc.GetStride(1) * c +
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wei_desc.GetStride(2) * s + in_desc.GetStride(3) * r;
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const unsigned out_index =
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out_desc.GetStride(0) * n + out_desc.GetStride(1) * k +
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out_desc.GetStride(2) * ho + out_desc.GetStride(3) * wo;
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p_out[out_index] += p_wei[wei_index] * p_in[in_index];
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#if 1
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if(threadIdx.x == 0 )
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{
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printf("====== 5: \t"
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"out_index %u, p_out[out_index] %f, \t"
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"wei_index %u, p_wei[wei_index] %f, \t"
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"in_index %u, p_in[in_index] %f\n",
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out_index, p_out[out_index],
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wei_index, p_wei[wei_index],
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in_index, p_in[in_index]);
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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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}
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}
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}
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template <class TFloat,
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unsigned S, // weight size in H-dir
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unsigned R, // weight size in W-dir
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unsigned InTileSizeH,
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unsigned InTileSizeW,
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unsigned OutTileSizeH,
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unsigned OutTileSizeW,
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unsigned NPerBlock,
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unsigned KPerBlock,
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unsigned YPerBlock,
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unsigned XPerBlock,
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unsigned CPerBlockLoop>
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__device__ void blockwise_convolution(const DeviceTensorDescriptor<4>& in_desc,
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TFloat* const __restrict__ p_in,
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const DeviceTensorDescriptor<4>& wei_desc,
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TFloat* const __restrict__ p_wei,
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const DeviceTensorDescriptor<4>& out_desc,
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TFloat* __restrict__ p_out)
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{
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// for now, one thread do 1 N and 1 K
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DeviceTensorDescriptor<4> wei_thread_desc;
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wei_thread_desc.mpLengths[0] = 1;
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wei_thread_desc.mpLengths[1] = CPerBlockLoop;
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wei_thread_desc.mpLengths[2] = S;
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wei_thread_desc.mpLengths[3] = R;
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wei_thread_desc.mpStrides[3] = 1;
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wei_thread_desc.mpStrides[2] = wei_thread_desc.GetLength(3) * wei_thread_desc.GetStride(3);
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wei_thread_desc.mpStrides[1] = wei_thread_desc.GetLength(2) * wei_thread_desc.GetStride(2);
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wei_thread_desc.mpStrides[0] = wei_thread_desc.GetLength(1) * wei_thread_desc.GetStride(1);
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DeviceTensorDescriptor<4> out_thread_desc;
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out_thread_desc.mpLengths[0] = 1;
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out_thread_desc.mpLengths[1] = 1;
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out_thread_desc.mpLengths[2] = OutTileSizeH;
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out_thread_desc.mpLengths[3] = OutTileSizeW;
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out_thread_desc.mpStrides[3] = 1;
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out_thread_desc.mpStrides[2] = out_thread_desc.GetLength(3) * out_thread_desc.GetStride(3);
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out_thread_desc.mpStrides[1] = out_thread_desc.GetLength(2) * out_thread_desc.GetStride(2);
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out_thread_desc.mpStrides[0] = out_thread_desc.GetLength(1) * out_thread_desc.GetStride(1);
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DeviceTensorDescriptor<4> in_thread_desc;
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in_thread_desc.mpLengths[0] = 1;
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in_thread_desc.mpLengths[1] = CPerBlockLoop;
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in_thread_desc.mpLengths[2] = OutTileSizeH + S - 1;
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in_thread_desc.mpLengths[3] = OutTileSizeW + R - 1;
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in_thread_desc.mpStrides[3] = 1;
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in_thread_desc.mpStrides[2] = in_thread_desc.GetLength(3) * in_thread_desc.GetStride(3);
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in_thread_desc.mpStrides[1] = in_thread_desc.GetLength(2) * in_thread_desc.GetStride(2);
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in_thread_desc.mpStrides[0] = in_thread_desc.GetLength(1) * in_thread_desc.GetStride(1);
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const unsigned thread_sz = blockDim.x * blockDim.y * blockDim.z;
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const unsigned thread_id =
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threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * (blockDim.y * blockDim.x);
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for(unsigned thread_work_id = thread_id;
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thread_work_id < NPerBlock * KPerBlock * YPerBlock * XPerBlock;
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thread_work_id += thread_sz)
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{
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unsigned itmp = thread_work_id;
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unsigned n_thread_work_id = itmp / (KPerBlock * YPerBlock * XPerBlock);
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itmp -= n_thread_work_id * (KPerBlock * YPerBlock * XPerBlock);
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unsigned k_thread_work_id = itmp / (YPerBlock * XPerBlock);
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itmp -= k_thread_work_id * (YPerBlock * XPerBlock);
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unsigned y_thread_work_id = itmp / XPerBlock;
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unsigned x_thread_work_id = itmp - y_thread_work_id * XPerBlock;
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unsigned n_thread_work_begin = n_thread_work_id * 1;
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unsigned k_thread_work_begin = k_thread_work_id * 1;
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unsigned ho_thread_work_begin = y_thread_work_id * OutTileSizeH;
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unsigned wo_thread_work_begin = x_thread_work_id * OutTileSizeW;
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unsigned hi_thread_work_begin = ho_thread_work_begin; // minus padding
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unsigned wi_thread_work_begin = wo_thread_work_begin; // minus padding
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TFloat p_in_thread[1 * CPerBlockLoop * InTileSizeH * InTileSizeW];
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TFloat p_wei_thread[1 * CPerBlockLoop * S * R];
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TFloat p_out_thread[1 * 1 * OutTileSizeH * OutTileSizeW];
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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<TFloat, decltype(f_copy)>(
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in_desc,
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p_in + in_desc.Get1dIndex(
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n_thread_work_begin, 0, hi_thread_work_begin, wi_thread_work_begin),
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in_thread_desc,
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p_in_thread,
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f_copy);
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// copy weight tensor into register
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threadwise_4d_tensor_op<TFloat, decltype(f_copy)>(
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wei_desc,
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p_wei + wei_thread_desc.Get1dIndex(k_thread_work_begin, 0, 0, 0),
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wei_thread_desc,
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p_wei_thread,
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f_copy);
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// copy output tensor into register
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threadwise_4d_tensor_op<TFloat, decltype(f_copy)>(
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out_desc,
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p_out + out_desc.Get1dIndex(n_thread_work_begin,
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k_thread_work_begin,
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ho_thread_work_begin,
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wo_thread_work_begin),
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out_thread_desc,
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p_out_thread,
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f_copy);
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// threadwise convolution
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threadwise_direct_convolution(in_thread_desc,
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p_in_thread,
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wei_thread_desc,
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p_wei_thread,
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out_thread_desc,
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p_out_thread);
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// accumulate output tensor into device mem
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threadwise_4d_tensor_op<TFloat, decltype(f_copy)>(
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out_thread_desc,
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p_out_thread,
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out_desc,
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p_out + out_desc.Get1dIndex(n_thread_work_begin,
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k_thread_work_begin,
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ho_thread_work_begin,
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wo_thread_work_begin),
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f_copy);
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}
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}
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template <class TFloat,
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unsigned S, // weight size in H-dir
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unsigned R, // weight size in W-dir
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unsigned InTileSizeH,
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unsigned InTileSizeW,
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unsigned OutTileSizeH,
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unsigned OutTileSizeW,
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unsigned NPerBlock,
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unsigned KPerBlock,
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unsigned YPerBlock,
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unsigned XPerBlock,
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unsigned CPerBlockLoop>
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__global__ void gridwise_convolution(const DeviceTensorDescriptor<4> in_desc,
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TFloat* const __restrict__ p_in,
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const DeviceTensorDescriptor<4> wei_desc,
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TFloat* const __restrict__ p_wei,
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const DeviceTensorDescriptor<4> out_desc,
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TFloat* __restrict__ p_out)
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{
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#if 1
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if(threadIdx.x < 100)
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{
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printf("====== 0: \t"
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"threadIdx.x %u, p_in[threadIdx.x] %f, p_wei[threadIdx.x] %f, p_out[threadIdx.x] %f\n",
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threadIdx.x, p_in[threadIdx.x], p_wei[threadIdx.x], p_out[threadIdx.x]);
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}
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#endif
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const unsigned NBlockWork = (in_desc.GetLength(0) + NPerBlock - 1) / NPerBlock;
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const unsigned YBlockWork = (in_desc.GetLength(2) + YPerBlock - 1) / YPerBlock;
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const unsigned XBlockWork = (in_desc.GetLength(3) + XPerBlock - 1) / XPerBlock;
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const unsigned KBlockWork = (wei_desc.GetLength(1) + KPerBlock - 1) / KPerBlock;
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const unsigned block_id =
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blockIdx.x + blockIdx.y * gridDim.x + blockIdx.z * (gridDim.y * gridDim.x);
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// this is ugly
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DeviceTensorDescriptor<4> wei_block_desc;
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wei_block_desc.mpLengths[0] = KPerBlock;
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wei_block_desc.mpLengths[1] = CPerBlockLoop;
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wei_block_desc.mpLengths[2] = S;
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wei_block_desc.mpLengths[3] = R;
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wei_block_desc.mpStrides[3] = 1;
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wei_block_desc.mpStrides[2] = wei_block_desc.GetLength(3) * wei_block_desc.GetStride(3);
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wei_block_desc.mpStrides[1] = wei_block_desc.GetLength(2) * wei_block_desc.GetStride(2);
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||||
wei_block_desc.mpStrides[0] = wei_block_desc.GetLength(1) * wei_block_desc.GetStride(1);
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||||
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||||
DeviceTensorDescriptor<4> out_block_desc;
|
||||
out_block_desc.mpLengths[0] = NPerBlock;
|
||||
out_block_desc.mpLengths[1] = KPerBlock;
|
||||
out_block_desc.mpLengths[2] = YPerBlock * OutTileSizeH;
|
||||
out_block_desc.mpLengths[3] = XPerBlock * OutTileSizeW;
|
||||
out_block_desc.mpStrides[3] = 1;
|
||||
out_block_desc.mpStrides[2] = out_block_desc.GetLength(3) * out_block_desc.GetStride(3);
|
||||
out_block_desc.mpStrides[1] = out_block_desc.GetLength(2) * out_block_desc.GetStride(2);
|
||||
out_block_desc.mpStrides[0] = out_block_desc.GetLength(1) * out_block_desc.GetStride(1);
|
||||
|
||||
DeviceTensorDescriptor<4> in_block_desc;
|
||||
in_block_desc.mpLengths[0] = NPerBlock;
|
||||
in_block_desc.mpLengths[1] = CPerBlockLoop;
|
||||
in_block_desc.mpLengths[2] = YPerBlock * OutTileSizeH + S - 1;
|
||||
in_block_desc.mpLengths[3] = XPerBlock * OutTileSizeW + R - 1;
|
||||
in_block_desc.mpStrides[3] = 1;
|
||||
in_block_desc.mpStrides[2] = in_block_desc.GetLength(3) * in_block_desc.GetStride(3);
|
||||
in_block_desc.mpStrides[1] = in_block_desc.GetLength(2) * in_block_desc.GetStride(2);
|
||||
in_block_desc.mpStrides[0] = in_block_desc.GetLength(1) * in_block_desc.GetStride(1);
|
||||
|
||||
__shared__ TFloat p_in_block[NPerBlock * CPerBlockLoop * S * R];
|
||||
__shared__ TFloat p_wei_block[KPerBlock * CPerBlockLoop * (YPerBlock * OutTileSizeH + S - 1) *
|
||||
(XPerBlock * OutTileSizeW + R - 1)];
|
||||
__shared__ TFloat p_out_block[NPerBlock * KPerBlock * (YPerBlock * OutTileSizeH) *
|
||||
(XPerBlock * OutTileSizeW)];
|
||||
|
||||
unsigned itmp = block_id;
|
||||
unsigned n_block_work_id = itmp / (KBlockWork * YBlockWork * XBlockWork);
|
||||
itmp -= n_block_work_id * (KBlockWork * YBlockWork * XBlockWork);
|
||||
unsigned k_block_work_id = itmp / (YBlockWork * XBlockWork);
|
||||
itmp -= k_block_work_id * (YBlockWork * XBlockWork);
|
||||
unsigned y_block_work_id = itmp / XBlockWork;
|
||||
unsigned x_block_work_id = itmp - y_block_work_id * XBlockWork;
|
||||
|
||||
unsigned n_block_work_begin = n_block_work_id * NPerBlock;
|
||||
unsigned k_block_work_begin = k_block_work_id * KPerBlock;
|
||||
unsigned y_block_work_begin = y_block_work_id * YPerBlock;
|
||||
unsigned x_block_work_begin = x_block_work_id * XPerBlock;
|
||||
|
||||
unsigned ho_block_work_begin = y_block_work_begin * OutTileSizeH;
|
||||
unsigned wo_block_work_begin = x_block_work_begin * OutTileSizeW;
|
||||
|
||||
unsigned hi_block_work_begin = ho_block_work_begin; // minus padding
|
||||
unsigned wi_block_work_begin = wo_block_work_begin; // minus padding
|
||||
|
||||
if(threadIdx.x == 0)
|
||||
printf("====== 1:\n");
|
||||
|
||||
for(unsigned c_block_work_begin = 0; c_block_work_begin < in_desc.GetLength(1);
|
||||
c_block_work_begin += CPerBlockLoop)
|
||||
{
|
||||
auto f_copy = [](const TFloat& src, TFloat& dst) { dst = src; };
|
||||
|
||||
// copy input tensor to LDS
|
||||
blockwise_4d_tensor_op<TFloat, 1, 1, 1, 64, decltype(f_copy)>(
|
||||
in_desc,
|
||||
p_in + in_desc.Get1dIndex(n_block_work_begin,
|
||||
c_block_work_begin,
|
||||
hi_block_work_begin,
|
||||
wi_block_work_begin),
|
||||
in_block_desc,
|
||||
p_in_block,
|
||||
f_copy);
|
||||
|
||||
// copy weight tensor to LDS
|
||||
blockwise_4d_tensor_op<TFloat, 1, 1, 1, 64, decltype(f_copy)>(
|
||||
wei_desc,
|
||||
p_wei + wei_desc.Get1dIndex(k_block_work_begin, c_block_work_begin, 0, 0),
|
||||
wei_block_desc,
|
||||
p_wei_block,
|
||||
f_copy);
|
||||
|
||||
// copy output tensor to LDS
|
||||
blockwise_4d_tensor_op<TFloat, 1, 1, 1, 64, decltype(f_copy)>(
|
||||
out_desc,
|
||||
p_out + out_desc.Get1dIndex(n_block_work_begin,
|
||||
k_block_work_begin,
|
||||
ho_block_work_begin,
|
||||
wo_block_work_begin),
|
||||
out_block_desc,
|
||||
p_out_block,
|
||||
f_copy);
|
||||
|
||||
// blockwise convolution
|
||||
blockwise_convolution<TFloat,
|
||||
S,
|
||||
R,
|
||||
InTileSizeH,
|
||||
InTileSizeW,
|
||||
OutTileSizeH,
|
||||
OutTileSizeW,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
YPerBlock,
|
||||
XPerBlock,
|
||||
CPerBlockLoop>(
|
||||
in_block_desc, p_in_block, wei_block_desc, p_wei_block, out_block_desc, p_out_block);
|
||||
|
||||
if(threadIdx.x == 0 )
|
||||
printf("====== 3:\n");
|
||||
|
||||
// accum output tensor from LDS to device mem
|
||||
blockwise_4d_tensor_op<TFloat, 1, 1, 1, 64, decltype(f_copy)>(
|
||||
out_block_desc,
|
||||
p_out_block,
|
||||
out_desc,
|
||||
p_out + out_desc.Get1dIndex(n_block_work_begin,
|
||||
k_block_work_begin,
|
||||
ho_block_work_begin,
|
||||
wo_block_work_begin),
|
||||
f_copy);
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user