mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-11 08:50:17 +00:00
padding works (sort of), but code looks ugly. Tuned some resnet configs
This commit is contained in:
Chao Liu
127
driver/conv.cu
127
driver/conv.cu
@@ -11,6 +11,7 @@
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#include "device_implicit_gemm_convolution_1_nchw_kcsr.cuh"
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#include "device_implicit_gemm_convolution_1_nchw_srck_nkhw.cuh"
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#include "device_implicit_gemm_convolution_1_chwn_csrk_khwn.cuh"
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#include "device_implicit_gemm_convolution_1_chwn_csrk_khwn_with_padding.cuh"
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#include "device_implicit_gemm_convolution_2_cnhw_srck_knhw.cuh"
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//#include "device_winograd_convolution.cuh"
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@@ -107,20 +108,31 @@ auto make_TensorDescriptor(TConstTensorDesc)
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return TensorDescriptor(lengths, strides);
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}
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template <class T>
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void host_direct_convolution(const Tensor<T>& in_nchw, const Tensor<T>& wei_kcsr, Tensor<T>& out)
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template <class T, class LowerPads, class UpperPads>
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void host_direct_convolution(
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const Tensor<T>& in_nchw, const Tensor<T>& wei_kcsr, Tensor<T>& out, LowerPads, UpperPads)
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{
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unsigned h_pad_low = LowerPads{}.Get(Number<0>{});
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unsigned w_pad_low = LowerPads{}.Get(Number<1>{});
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unsigned h_pad_up = UpperPads{}.Get(Number<0>{});
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unsigned w_pad_up = UpperPads{}.Get(Number<1>{});
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auto f = [&](auto n, auto k, auto ho, auto wo) {
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double v = 0;
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for(int c = 0; c < wei_kcsr.mDesc.GetLengths()[1]; ++c)
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{
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for(int y = 0; y < wei_kcsr.mDesc.GetLengths()[2]; ++y)
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{
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int hi = ho + y;
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int hi = ho + y - h_pad_low;
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for(int x = 0; x < wei_kcsr.mDesc.GetLengths()[3]; ++x)
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{
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int wi = wo + x;
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v += in_nchw(n, c, hi, wi) * wei_kcsr(k, c, y, x);
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int wi = wo + x - w_pad_low;
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if(hi >= 0 && hi < in_nchw.mDesc.GetLengths()[2] && wi >= 0 &&
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wi < in_nchw.mDesc.GetLengths()[3])
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{
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v += in_nchw(n, c, hi, wi) * wei_kcsr(k, c, y, x);
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}
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}
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}
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}
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@@ -136,10 +148,9 @@ void host_direct_convolution(const Tensor<T>& in_nchw, const Tensor<T>& wei_kcsr
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f_par(std::thread::hardware_concurrency());
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}
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template <class T>
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void host_winograd_3x3_convolution(const Tensor<T>& in_nchw,
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const Tensor<T>& wei_kcsr,
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Tensor<T>& out)
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template <class T, class LowerPads, class UpperPads>
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void host_winograd_3x3_convolution(
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const Tensor<T>& in_nchw, const Tensor<T>& wei_kcsr, Tensor<T>& out, LowerPads, UpperPads)
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{
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constexpr std::size_t OutTileSizeH = 2;
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constexpr std::size_t OutTileSizeW = 2;
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@@ -156,6 +167,12 @@ void host_winograd_3x3_convolution(const Tensor<T>& in_nchw,
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std::size_t HO = out.mDesc.GetLengths()[2];
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std::size_t WO = out.mDesc.GetLengths()[3];
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unsigned h_pad_low = LowerPads{}.Get(Number<0>{});
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unsigned w_pad_low = LowerPads{}.Get(Number<1>{});
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unsigned h_pad_up = UpperPads{}.Get(Number<0>{});
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unsigned w_pad_up = UpperPads{}.Get(Number<1>{});
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std::size_t InTileSizeH = OutTileSizeH + S - 1;
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std::size_t InTileSizeW = OutTileSizeW + R - 1;
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@@ -171,11 +188,20 @@ void host_winograd_3x3_convolution(const Tensor<T>& in_nchw,
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auto f_in_hold = [&](auto n, auto c, auto y, auto x) {
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for(int j = 0; j < InTileSizeH; ++j)
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{
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std::size_t hi = OutTileSizeH * y + j;
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int hi = OutTileSizeH * y + j - h_pad_low;
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for(int i = 0; i < InTileSizeW; ++i)
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{
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std::size_t wi = OutTileSizeW * x + i;
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in_hold(n, c, y, x, j, i) = in_nchw(n, c, hi, wi);
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int wi = OutTileSizeW * x + i - w_pad_low;
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if(hi >= 0 && hi < in_nchw.mDesc.GetLengths()[2] && wi >= 0 &&
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wi < in_nchw.mDesc.GetLengths()[3])
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{
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in_hold(n, c, y, x, j, i) = in_nchw(n, c, hi, wi);
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}
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else
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{
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in_hold(n, c, y, x, j, i) = T(0);
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}
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}
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}
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};
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@@ -406,7 +432,7 @@ int main()
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constexpr unsigned K = 64;
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constexpr unsigned S = 7;
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constexpr unsigned R = 7;
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#elif 1
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#elif 0
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// 3x3, 58x58
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constexpr unsigned N = 16;
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constexpr unsigned C = 128;
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@@ -415,12 +441,63 @@ int main()
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constexpr unsigned K = 256;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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#elif 0
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// 3x3 filter, 58x58 image, 0x0 padding
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constexpr unsigned N = 16;
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constexpr unsigned C = 128;
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constexpr unsigned HI = 58;
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constexpr unsigned WI = 58;
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constexpr unsigned K = 256;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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constexpr unsigned HPad = 0;
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constexpr unsigned WPad = 0;
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#elif 1
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// 3x3 filter, 56x56 image, 1x1 padding
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constexpr unsigned N = 16;
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constexpr unsigned C = 128;
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constexpr unsigned HI = 56;
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constexpr unsigned WI = 56;
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constexpr unsigned K = 256;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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constexpr unsigned HPad = 1;
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constexpr unsigned WPad = 1;
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#elif 0
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// 3x3 filter, 28x28 image, 1x1 padding
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constexpr unsigned N = 16;
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constexpr unsigned C = 256;
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constexpr unsigned HI = 28;
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constexpr unsigned WI = 28;
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constexpr unsigned K = 512;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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constexpr unsigned HPad = 1;
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constexpr unsigned WPad = 1;
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#elif 0
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// 3x3 filter, 20x84 image, 1x1 padding
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constexpr unsigned N = 16;
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constexpr unsigned C = 256;
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constexpr unsigned HI = 20;
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constexpr unsigned WI = 84;
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constexpr unsigned K = 256;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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constexpr unsigned HPad = 1;
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constexpr unsigned WPad = 1;
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#endif
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auto lower_pads = Sequence<HPad, WPad>{};
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auto upper_pads = Sequence<HPad, WPad>{};
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auto in_nchw_desc = make_ConstantTensorDescriptor(Sequence<N, C, HI, WI>{});
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auto wei_kcsr_desc = make_ConstantTensorDescriptor(Sequence<K, C, S, R>{});
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auto out_nkhw_desc =
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get_convolution_output_default_4d_tensor_descriptor(in_nchw_desc, wei_kcsr_desc);
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auto out_nkhw_desc = get_convolution_with_padding_output_default_4d_tensor_descriptor(
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in_nchw_desc, wei_kcsr_desc, lower_pads, upper_pads);
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ostream_ConstantTensorDescriptor(in_nchw_desc, std::cout << "in_nchw_desc: ");
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ostream_ConstantTensorDescriptor(wei_kcsr_desc, std::cout << "wei_kcsr_desc: ");
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@@ -443,6 +520,7 @@ int main()
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unsigned nrepeat = 50;
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#if 0
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#if 0
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device_direct_convolution_1
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#elif 0
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@@ -451,7 +529,7 @@ int main()
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device_implicit_gemm_convolution_1_nchw_kcsr
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#elif 0
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device_implicit_gemm_convolution_1_nchw_srck_nkhw
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#elif 1
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#elif 0
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device_implicit_gemm_convolution_1_chwn_csrk_khwn
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#elif 0
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device_implicit_gemm_convolution_2_cnhw_srck_knhw
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@@ -459,15 +537,28 @@ int main()
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device_winograd_convolution
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#endif
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(in_nchw_desc, in_nchw, wei_kcsr_desc, wei_kcsr, out_nkhw_desc, out_nkhw_device, nrepeat);
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#endif
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#if 1
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device_implicit_gemm_convolution_1_chwn_csrk_khwn_with_padding(in_nchw_desc,
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in_nchw,
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wei_kcsr_desc,
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wei_kcsr,
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out_nkhw_desc,
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out_nkhw_device,
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lower_pads,
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upper_pads,
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nrepeat);
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#endif
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#if 1
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if(S == 3 && R == 3)
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{
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host_winograd_3x3_convolution(in_nchw, wei_kcsr, out_nkhw_host);
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host_winograd_3x3_convolution(in_nchw, wei_kcsr, out_nkhw_host, lower_pads, upper_pads);
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}
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else
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{
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host_direct_convolution(in_nchw, wei_kcsr, out_nkhw_host);
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host_direct_convolution(in_nchw, wei_kcsr, out_nkhw_host, lower_pads, upper_pads);
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}
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check_error(out_nkhw_host, out_nkhw_device);
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#endif
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@@ -0,0 +1,245 @@
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#pragma once
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#include "gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn_with_padding.cuh"
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#include <unistd.h>
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template <class T, class InDesc, class WeiDesc, class OutDesc, class LowerPads, class UpperPads>
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void device_implicit_gemm_convolution_1_chwn_csrk_khwn_with_padding(InDesc,
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const Tensor<T>& in_nchw,
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WeiDesc,
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const Tensor<T>& wei_kcsr,
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OutDesc,
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Tensor<T>& out_nkhw,
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LowerPads,
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UpperPads,
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unsigned nrepeat)
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{
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constexpr auto I0 = Number<0>{};
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constexpr auto I1 = Number<1>{};
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constexpr auto I2 = Number<2>{};
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constexpr auto I3 = Number<3>{};
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constexpr auto in_nchw_desc = InDesc{};
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constexpr auto wei_kcsr_desc = WeiDesc{};
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constexpr auto out_nkhw_desc = OutDesc{};
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constexpr unsigned Hi = in_nchw_desc.GetLength(I2);
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constexpr unsigned Wi = in_nchw_desc.GetLength(I3);
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constexpr unsigned N = out_nkhw_desc.GetLength(I0);
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constexpr unsigned Ho = out_nkhw_desc.GetLength(I2);
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constexpr unsigned Wo = out_nkhw_desc.GetLength(I3);
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constexpr unsigned K = wei_kcsr_desc.GetLength(I0);
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constexpr unsigned C = wei_kcsr_desc.GetLength(I1);
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constexpr unsigned S = wei_kcsr_desc.GetLength(I2);
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constexpr unsigned R = wei_kcsr_desc.GetLength(I3);
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// reorder weight
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auto wei_csrk_desc = make_ConstantTensorDescriptor(Sequence<C, S, R, K>{});
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ostream_ConstantTensorDescriptor(wei_csrk_desc, std::cout << "wei_csrk_desc: ");
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Tensor<T> wei_csrk(make_TensorDescriptor(wei_csrk_desc));
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auto f_reorder_kcsr2csrk = [&](auto k, auto c, auto s, auto r) {
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wei_csrk(c, s, r, k) = wei_kcsr(k, c, s, r);
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};
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make_ParallelTensorFunctor(f_reorder_kcsr2csrk, K, C, S, R)(
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std::thread::hardware_concurrency());
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// reorder input
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auto in_chwn_desc = make_ConstantTensorDescriptor(Sequence<C, Hi, Wi, N>{});
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ostream_ConstantTensorDescriptor(in_chwn_desc, std::cout << "in_chwn_desc: ");
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Tensor<T> in_chwn(make_TensorDescriptor(in_chwn_desc));
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auto f_reorder_nchw2chwn = [&](auto n, auto c, auto hi, auto wi) {
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in_chwn(c, hi, wi, n) = in_nchw(n, c, hi, wi);
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};
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make_ParallelTensorFunctor(f_reorder_nchw2chwn, N, C, Hi, Wi)(
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std::thread::hardware_concurrency());
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// output
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auto out_khwn_desc = make_ConstantTensorDescriptor(Sequence<K, Ho, Wo, N>{});
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ostream_ConstantTensorDescriptor(out_khwn_desc, std::cout << "out_khwn_desc: ");
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Tensor<T> out_khwn(make_TensorDescriptor(out_khwn_desc));
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std::size_t data_sz = sizeof(T);
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DeviceMem in_chwn_device_buf(data_sz * in_chwn.mDesc.GetElementSpace());
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DeviceMem wei_csrk_device_buf(data_sz * wei_csrk.mDesc.GetElementSpace());
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DeviceMem out_khwn_device_buf(data_sz * out_khwn.mDesc.GetElementSpace());
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in_chwn_device_buf.ToDevice(in_chwn.mData.data());
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wei_csrk_device_buf.ToDevice(wei_csrk.mData.data());
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out_khwn_device_buf.ToDevice(out_khwn.mData.data());
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#if 0
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constexpr unsigned NPerBlock = 1;
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constexpr unsigned KPerBlock = 1;
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constexpr unsigned CPerBlock = 1;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 1;
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constexpr unsigned KPerThread = 1;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 8;
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#elif 0
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// for 3x3, 34x34 | 3x3 58x58, NKC = 64, 64, 256
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constexpr unsigned NPerBlock = 16;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 4;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// 3x3 58x58, NKC = 16,256,128
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constexpr unsigned NPerBlock = 8;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 2;
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constexpr unsigned HoPerBlock = 4;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// for 5x5, 36x36
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constexpr unsigned NPerBlock = 16;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 2;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// for 7x7, 38x38
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constexpr unsigned NPerBlock = 8;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 2;
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constexpr unsigned HoPerBlock = 4;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// for 3x3, 56x56
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constexpr unsigned NPerBlock = 32;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 4;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 2;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#elif 1
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// 3x3 56x56, NKC = 16,256,128, with padding
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// 3x3 28x28, NKC = 16,512,256, with padding
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// 3x3 20x84, NKC = 16,256,256, with padding
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constexpr unsigned NPerBlock = 16;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 2;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
|
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#endif
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constexpr unsigned GridSize =
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((N + NPerBlock - 1) / NPerBlock) * ((K + KPerBlock - 1) / KPerBlock) *
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((Ho + HoPerBlock - 1) / HoPerBlock) * ((Wo + WoPerBlock - 1) / WoPerBlock);
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dim3 block_dim(BlockSize);
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dim3 grid_dim(GridSize);
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printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
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|
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for(unsigned i = 0; i < nrepeat; ++i)
|
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{
|
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cudaEvent_t start, stop;
|
||||
float elapsedTime;
|
||||
|
||||
cudaEventCreate(&start);
|
||||
cudaEventRecord(start, 0);
|
||||
|
||||
gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn_with_padding<GridSize,
|
||||
BlockSize,
|
||||
T,
|
||||
decltype(in_chwn_desc),
|
||||
decltype(wei_csrk_desc),
|
||||
decltype(out_khwn_desc),
|
||||
LowerPads,
|
||||
UpperPads,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
CPerBlock,
|
||||
HoPerBlock,
|
||||
WoPerBlock,
|
||||
NPerThread,
|
||||
KPerThread,
|
||||
CPerThread,
|
||||
HoPerThread,
|
||||
WoPerThread>
|
||||
<<<grid_dim, block_dim>>>(static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer()),
|
||||
static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer()),
|
||||
static_cast<T*>(out_khwn_device_buf.GetDeviceBuffer()));
|
||||
|
||||
cudaEventCreate(&stop);
|
||||
cudaEventRecord(stop, 0);
|
||||
cudaEventSynchronize(stop);
|
||||
|
||||
cudaEventElapsedTime(&elapsedTime, start, stop);
|
||||
printf("Elapsed time : %f ms\n", elapsedTime);
|
||||
|
||||
usleep(10000);
|
||||
}
|
||||
|
||||
checkCudaErrors(cudaGetLastError());
|
||||
out_khwn_device_buf.FromDevice(out_khwn.mData.data());
|
||||
|
||||
// reorder output
|
||||
auto f_reorder_khwn2nkhw = [&](auto k, auto ho, auto wo, auto n) {
|
||||
out_nkhw(n, k, ho, wo) = out_khwn(k, ho, wo, n);
|
||||
};
|
||||
|
||||
make_ParallelTensorFunctor(f_reorder_khwn2nkhw, K, Ho, Wo, N)(
|
||||
std::thread::hardware_concurrency());
|
||||
}
|
||||
@@ -211,6 +211,133 @@ struct blockwise_4d_tensor_copy_1
|
||||
}
|
||||
};
|
||||
|
||||
template <unsigned BlockSize,
|
||||
class Float,
|
||||
class SrcDesc,
|
||||
class DstDesc,
|
||||
class DstOpLengths,
|
||||
class GlobalLowerPads>
|
||||
struct blockwise_chwn_tensor_copy_with_padding
|
||||
{
|
||||
__device__ void run(Float* const __restrict__ p_src,
|
||||
unsigned c_block_data_begin,
|
||||
unsigned ho_block_data_begin,
|
||||
unsigned wo_block_data_begin,
|
||||
unsigned n_block_data_begin,
|
||||
Float* __restrict__ p_dst,
|
||||
unsigned h_block_pad_low,
|
||||
unsigned w_block_pad_low,
|
||||
unsigned h_block_pad_up,
|
||||
unsigned w_block_pad_up) const
|
||||
{
|
||||
constexpr auto I0 = Number<0>{};
|
||||
constexpr auto I1 = Number<1>{};
|
||||
constexpr auto I2 = Number<2>{};
|
||||
constexpr auto I3 = Number<3>{};
|
||||
|
||||
constexpr auto src_desc = SrcDesc{};
|
||||
constexpr auto dst_desc = DstDesc{};
|
||||
constexpr auto ref_desc = make_ConstantTensorDescriptor(DstOpLengths{});
|
||||
|
||||
constexpr auto h_global_pad_low = GlobalLowerPads{}.Get(I0);
|
||||
constexpr auto w_global_pad_low = GlobalLowerPads{}.Get(I1);
|
||||
|
||||
constexpr unsigned NLoop = ref_desc.GetElementSize() / BlockSize;
|
||||
|
||||
Float* const p_src_tmp =
|
||||
p_src + src_desc.Get1dIndex(c_block_data_begin,
|
||||
(ho_block_data_begin + h_block_pad_low) - h_global_pad_low,
|
||||
(wo_block_data_begin + w_block_pad_low) - w_global_pad_low,
|
||||
n_block_data_begin);
|
||||
|
||||
#if 0
|
||||
if(get_thread_local_1d_id() == 0)
|
||||
{
|
||||
print_ConstantTensorDescriptor(src_desc, "src_desc: ");
|
||||
print_ConstantTensorDescriptor(dst_desc, "dst_desc: ");
|
||||
print_ConstantTensorDescriptor(ref_desc, "ref_desc: ");
|
||||
|
||||
printf("%u %u, \t"
|
||||
"h_global_pad_low %u w_global_pad_low %u \t"
|
||||
"h_block_pad_low %u w_block_pad_low %u h_block_pad_up %u w_block_pad_up %u \t"
|
||||
"\n",
|
||||
get_block_1d_id(),
|
||||
get_thread_local_1d_id(),
|
||||
h_global_pad_low,
|
||||
w_global_pad_low,
|
||||
h_block_pad_low,
|
||||
w_block_pad_low,
|
||||
h_block_pad_up,
|
||||
w_block_pad_up);
|
||||
}
|
||||
#endif
|
||||
|
||||
for(unsigned iloop = 0; iloop < NLoop; ++iloop)
|
||||
{
|
||||
unsigned is = threadIdx.x + iloop * BlockSize;
|
||||
|
||||
unsigned did[4];
|
||||
|
||||
did[0] = is / ref_desc.GetStride(I0);
|
||||
|
||||
is -= did[0] * ref_desc.GetStride(I0);
|
||||
|
||||
did[1] = is / ref_desc.GetStride(I1);
|
||||
|
||||
is -= did[1] * ref_desc.GetStride(I1);
|
||||
|
||||
did[2] = is / ref_desc.GetStride(I2);
|
||||
|
||||
is -= did[2] * ref_desc.GetStride(I2);
|
||||
|
||||
did[3] = is / ref_desc.GetStride(I3);
|
||||
|
||||
const unsigned bindex = dst_desc.Get1dIndex(did[0], did[1], did[2], did[3]);
|
||||
|
||||
p_dst[bindex] =
|
||||
(did[1] < h_block_pad_low || did[1] + h_block_pad_up >= ref_desc.GetLength(I1) ||
|
||||
did[2] < w_block_pad_low || did[2] + w_block_pad_up >= ref_desc.GetLength(I2))
|
||||
? Float(0)
|
||||
: p_src_tmp[src_desc.Get1dIndex(did[0], did[1], did[2], did[3])];
|
||||
}
|
||||
|
||||
constexpr bool has_tail = (ref_desc.GetElementSize() > NLoop * BlockSize);
|
||||
|
||||
if(has_tail)
|
||||
{
|
||||
unsigned is = threadIdx.x + NLoop * BlockSize;
|
||||
|
||||
if(is < ref_desc.GetElementSize())
|
||||
{
|
||||
unsigned did[4];
|
||||
|
||||
did[0] = is / ref_desc.GetStride(I0);
|
||||
|
||||
is -= did[0] * ref_desc.GetStride(I0);
|
||||
|
||||
did[1] = is / ref_desc.GetStride(I1);
|
||||
|
||||
is -= did[1] * ref_desc.GetStride(I1);
|
||||
|
||||
did[2] = is / ref_desc.GetStride(I2);
|
||||
|
||||
is -= did[2] * ref_desc.GetStride(I2);
|
||||
|
||||
did[3] = is / ref_desc.GetStride(I3);
|
||||
|
||||
const unsigned bindex = dst_desc.Get1dIndex(did[0], did[1], did[2], did[3]);
|
||||
|
||||
p_dst[bindex] =
|
||||
(did[1] < h_block_pad_low ||
|
||||
did[1] + h_block_pad_up >= ref_desc.GetLength(I1) ||
|
||||
did[2] < w_block_pad_low || did[2] + w_block_pad_up >= ref_desc.GetLength(I2))
|
||||
? Float(0)
|
||||
: p_src_tmp[src_desc.Get1dIndex(did[0], did[1], did[2], did[3])];
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
template <unsigned BlockSize, class Float, class SrcDesc, class DstDesc, class SrcOpLengths>
|
||||
struct blockwise_4d_tensor_copy_dummy
|
||||
{
|
||||
|
||||
@@ -27,8 +27,45 @@ __host__ __device__ constexpr auto get_convolution_output_default_4d_tensor_desc
|
||||
constexpr auto S = wei_desc.GetLength(I2);
|
||||
constexpr auto R = wei_desc.GetLength(I3);
|
||||
|
||||
constexpr auto HO = HI - S + 1;
|
||||
constexpr auto WO = WI - R + 1;
|
||||
constexpr auto HO = HI + 1 - S;
|
||||
constexpr auto WO = WI + 1 - R;
|
||||
|
||||
return make_ConstantTensorDescriptor(Sequence<N, K, HO, WO>{});
|
||||
}
|
||||
|
||||
template <class InDesc, class WeiDesc, class LowerPads, class UpperPads>
|
||||
__host__ __device__ constexpr auto get_convolution_with_padding_output_default_4d_tensor_descriptor(
|
||||
InDesc, WeiDesc, LowerPads, UpperPads)
|
||||
{
|
||||
constexpr auto in_desc = InDesc{};
|
||||
constexpr auto wei_desc = WeiDesc{};
|
||||
|
||||
constexpr auto I0 = Number<0>{};
|
||||
constexpr auto I1 = Number<1>{};
|
||||
constexpr auto I2 = Number<2>{};
|
||||
constexpr auto I3 = Number<3>{};
|
||||
|
||||
static_assert(in_desc.GetDimension() == 4, "input nDim is not 4");
|
||||
static_assert(wei_desc.GetDimension() == 4, "weight nDim is not 4");
|
||||
static_assert(in_desc.GetLength(I1) == wei_desc.GetLength(I1),
|
||||
"input & weight dimension not consistent");
|
||||
|
||||
constexpr auto N = in_desc.GetLength(I0);
|
||||
constexpr auto HI = in_desc.GetLength(I2);
|
||||
constexpr auto WI = in_desc.GetLength(I3);
|
||||
|
||||
constexpr auto K = wei_desc.GetLength(I0);
|
||||
constexpr auto S = wei_desc.GetLength(I2);
|
||||
constexpr auto R = wei_desc.GetLength(I3);
|
||||
|
||||
constexpr auto HPadLow = LowerPads{}.Get(I0);
|
||||
constexpr auto WPadLow = LowerPads{}.Get(I1);
|
||||
|
||||
constexpr auto HPadUp = UpperPads{}.Get(I0);
|
||||
constexpr auto WPadUp = UpperPads{}.Get(I1);
|
||||
|
||||
constexpr auto HO = HI + HPadLow + HPadUp + 1 - S;
|
||||
constexpr auto WO = WI + WPadLow + WPadUp + 1 - R;
|
||||
|
||||
return make_ConstantTensorDescriptor(Sequence<N, K, HO, WO>{});
|
||||
}
|
||||
|
||||
@@ -0,0 +1,265 @@
|
||||
#pragma once
|
||||
#include "common.cuh"
|
||||
#include "ConstantTensorDescriptor.cuh"
|
||||
#include "ConstantMatrixDescriptor.cuh"
|
||||
#include "blockwise_4d_tensor_op.cuh"
|
||||
#include "threadwise_4d_tensor_op.cuh"
|
||||
#include "gemm.cuh"
|
||||
|
||||
template <unsigned GridSize,
|
||||
unsigned BlockSize,
|
||||
class Float,
|
||||
class InGlobalDesc,
|
||||
class WeiGlobalDesc,
|
||||
class OutGlobalDesc,
|
||||
class LowerPads,
|
||||
class UpperPads,
|
||||
unsigned NPerBlock,
|
||||
unsigned KPerBlock,
|
||||
unsigned CPerBlock,
|
||||
unsigned HoPerBlock,
|
||||
unsigned WoPerBlock,
|
||||
unsigned NPerThread,
|
||||
unsigned KPerThread,
|
||||
unsigned CPerThread,
|
||||
unsigned HoPerThread,
|
||||
unsigned WoPerThread>
|
||||
__global__ void gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn_with_padding(
|
||||
Float* const __restrict__ p_in_global,
|
||||
Float* const __restrict__ p_wei_global,
|
||||
Float* __restrict__ p_out_global)
|
||||
{
|
||||
// NPerThread == NPerBlock, because the format of input in LDS [C,Hi,Wi,N]
|
||||
// for GEMM trans([C,K]) * [C,Wo*N], we need a thread to do all the "N"
|
||||
// if we use [C,Hi,N,Wi,N] in LDS, then NPerThread can be different from NPerBlock
|
||||
static_assert(NPerBlock % NPerThread == 0, "wrong! NPerBlock % NPerThread !=0");
|
||||
static_assert((NPerThread < NPerBlock && WoPerThread == 1) || NPerThread == NPerBlock,
|
||||
"wrong!");
|
||||
|
||||
constexpr auto I0 = Number<0>{};
|
||||
constexpr auto I1 = Number<1>{};
|
||||
constexpr auto I2 = Number<2>{};
|
||||
constexpr auto I3 = Number<3>{};
|
||||
|
||||
constexpr auto in_chwn_global_desc = InGlobalDesc{};
|
||||
constexpr auto wei_csrk_global_desc = WeiGlobalDesc{};
|
||||
constexpr auto out_khwn_global_desc = OutGlobalDesc{};
|
||||
|
||||
constexpr unsigned C = in_chwn_global_desc.GetLength(I0);
|
||||
|
||||
constexpr unsigned K = out_khwn_global_desc.GetLength(I0);
|
||||
constexpr unsigned Ho = out_khwn_global_desc.GetLength(I1);
|
||||
constexpr unsigned Wo = out_khwn_global_desc.GetLength(I2);
|
||||
constexpr unsigned N = out_khwn_global_desc.GetLength(I3);
|
||||
|
||||
constexpr unsigned S = wei_csrk_global_desc.GetLength(I1);
|
||||
constexpr unsigned R = wei_csrk_global_desc.GetLength(I2);
|
||||
|
||||
constexpr unsigned HPadLow = LowerPads{}.Get(I0);
|
||||
constexpr unsigned WPadLow = LowerPads{}.Get(I1);
|
||||
|
||||
constexpr unsigned HPadUp = UpperPads{}.Get(I0);
|
||||
constexpr unsigned WPadUp = UpperPads{}.Get(I1);
|
||||
|
||||
constexpr unsigned HiPerBlock = HoPerBlock + S - 1;
|
||||
constexpr unsigned WiPerBlock = WoPerBlock + R - 1;
|
||||
|
||||
// divide block work: [K, Ho, Wo, N]
|
||||
constexpr unsigned KBlockWork = (K + KPerBlock - 1) / KPerBlock;
|
||||
constexpr unsigned HBlockWork = (Ho + HoPerBlock - 1) / HoPerBlock;
|
||||
constexpr unsigned WBlockWork = (Wo + WoPerBlock - 1) / WoPerBlock;
|
||||
constexpr unsigned NBlockWork = (N + NPerBlock - 1) / NPerBlock;
|
||||
|
||||
const unsigned k_block_work_id = get_block_1d_id() / (HBlockWork * WBlockWork * NBlockWork);
|
||||
unsigned itmp = get_block_1d_id() - k_block_work_id * (HBlockWork * WBlockWork * NBlockWork);
|
||||
const unsigned h_block_work_id = itmp / (WBlockWork * NBlockWork);
|
||||
itmp -= h_block_work_id * (WBlockWork * NBlockWork);
|
||||
const unsigned w_block_work_id = itmp / NBlockWork;
|
||||
const unsigned n_block_work_id = itmp - w_block_work_id * NBlockWork;
|
||||
|
||||
const unsigned k_block_data_begin = k_block_work_id * KPerBlock;
|
||||
const unsigned ho_block_data_begin = h_block_work_id * HoPerBlock;
|
||||
const unsigned wo_block_data_begin = w_block_work_id * WoPerBlock;
|
||||
const unsigned n_block_data_begin = n_block_work_id * NPerBlock;
|
||||
|
||||
// tensor view of blockwise input and weight in LDS
|
||||
constexpr auto in_chwn_block_desc =
|
||||
make_ConstantTensorDescriptor(Sequence<CPerBlock, HiPerBlock, WiPerBlock, NPerBlock>{});
|
||||
|
||||
constexpr auto wei_csrk_block_desc =
|
||||
make_ConstantTensorDescriptor(Sequence<CPerBlock, S, R, KPerBlock>{});
|
||||
|
||||
// tensor view of threadwise output in register
|
||||
constexpr auto out_hkwn_thread_desc =
|
||||
make_ConstantTensorDescriptor(Sequence<HoPerThread, KPerThread, WoPerThread, NPerThread>{});
|
||||
|
||||
#if 0
|
||||
if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
|
||||
{
|
||||
print_ConstantTensorDescriptor(in_chwn_block_desc, "in_chwn_block_desc");
|
||||
print_ConstantTensorDescriptor(wei_csrk_block_desc, "wei_csrk_block_desc");
|
||||
print_ConstantTensorDescriptor(out_hkwn_thread_desc, "out_hkwn_thread_desc");
|
||||
}
|
||||
#endif
|
||||
|
||||
// blockwise copy
|
||||
// input: format is [C, Hi, Wi, N]
|
||||
const unsigned h_block_pad_low = h_block_work_id == 0 ? HPadLow : 0;
|
||||
const unsigned w_block_pad_low = w_block_work_id == 0 ? WPadLow : 0;
|
||||
|
||||
const unsigned h_block_pad_up = h_block_work_id == HBlockWork - 1 ? HPadUp : 0;
|
||||
const unsigned w_block_pad_up = w_block_work_id == WBlockWork - 1 ? WPadUp : 0;
|
||||
|
||||
#if 0
|
||||
if(get_thread_local_1d_id() == 0)
|
||||
;
|
||||
{
|
||||
printf(
|
||||
"%u %u, h_block_pad_low %u w_block_pad_low %u h_block_pad_up %u w_block_pad_up %u\n",
|
||||
get_block_1d_id(),
|
||||
get_thread_local_1d_id(),
|
||||
h_block_pad_low,
|
||||
w_block_pad_low,
|
||||
h_block_pad_up,
|
||||
w_block_pad_up);
|
||||
}
|
||||
#endif
|
||||
|
||||
constexpr auto blockwise_in_copy =
|
||||
blockwise_chwn_tensor_copy_with_padding<BlockSize,
|
||||
Float,
|
||||
decltype(in_chwn_global_desc),
|
||||
decltype(in_chwn_block_desc),
|
||||
decltype(in_chwn_block_desc.GetLengths()),
|
||||
LowerPads>{};
|
||||
|
||||
// weight: format is [S,R,C,K]
|
||||
constexpr auto blockwise_wei_copy =
|
||||
blockwise_4d_tensor_copy_1<BlockSize,
|
||||
Float,
|
||||
decltype(wei_csrk_global_desc),
|
||||
decltype(wei_csrk_block_desc),
|
||||
decltype(wei_csrk_block_desc.GetLengths())>{};
|
||||
|
||||
// a series of blockwise batched GEMM
|
||||
// C_matrix += transpose(A_matrix) * B_matrix
|
||||
// A_matrix and B_matrix saved in LDS, C_matrix saved in register
|
||||
// A_matrix[C,K] is a sub-matrix of wei_block[S,R,C,K]
|
||||
// B_matrix[C,Wo*N] is a sub-matrix of in_block[C,Hi,Wi,N]
|
||||
// C_matrix[K,Wo*N] is a sub-matrix of out_block[Ho,K,Wo,N]
|
||||
const auto a_cxk_block_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<CPerBlock>{},
|
||||
Number<KPerBlock>{},
|
||||
Number<wei_csrk_block_desc.GetStride(I0)>{}); // constexpr doesn't compile
|
||||
|
||||
const auto b_cxwn_block_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<CPerBlock>{},
|
||||
Number<WoPerBlock * NPerBlock>{},
|
||||
Number<in_chwn_block_desc.GetStride(I0)>{}); // constexpr doesn't compile
|
||||
|
||||
const auto c_kxwn_thread_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<KPerThread>{}, Number<WoPerThread * NPerThread>{}); // constexpr doesn't compile
|
||||
|
||||
const auto blockwise_batch_gemm =
|
||||
blockwise_1d_strided_batched_gemm_block_a_block_b_thread_c<BlockSize,
|
||||
decltype(a_cxk_block_mtx_desc),
|
||||
decltype(b_cxwn_block_mtx_desc),
|
||||
decltype(c_kxwn_thread_mtx_desc),
|
||||
true,
|
||||
false,
|
||||
false,
|
||||
0,
|
||||
in_chwn_block_desc.GetStride(I1),
|
||||
out_hkwn_thread_desc.GetStride(
|
||||
I0),
|
||||
HoPerBlock,
|
||||
HoPerThread,
|
||||
CPerThread,
|
||||
true>{};
|
||||
|
||||
// LDS
|
||||
constexpr unsigned in_block_size = in_chwn_block_desc.GetElementSpace();
|
||||
constexpr unsigned wei_block_size = wei_csrk_block_desc.GetElementSpace();
|
||||
|
||||
__shared__ Float p_in_block[in_block_size];
|
||||
__shared__ Float p_wei_block[wei_block_size];
|
||||
|
||||
// register
|
||||
Float p_out_thread[out_hkwn_thread_desc.GetElementSpace()];
|
||||
|
||||
// set threadwise output tensor to 0
|
||||
threadwise_4d_tensor_set_zero(out_hkwn_thread_desc, p_out_thread);
|
||||
|
||||
for(unsigned c_block_data_begin = 0; c_block_data_begin < C;
|
||||
c_block_data_begin += CPerBlock, __syncthreads())
|
||||
{
|
||||
#if 1
|
||||
// input: global mem to LDS,
|
||||
blockwise_in_copy.run(p_in_global,
|
||||
c_block_data_begin,
|
||||
ho_block_data_begin,
|
||||
wo_block_data_begin,
|
||||
n_block_data_begin,
|
||||
p_in_block,
|
||||
h_block_pad_low,
|
||||
w_block_pad_low,
|
||||
h_block_pad_up,
|
||||
w_block_pad_up);
|
||||
#endif
|
||||
|
||||
#if 1
|
||||
// weight: global mem to LDS,
|
||||
blockwise_wei_copy.run(p_wei_global + wei_csrk_global_desc.Get1dIndex(
|
||||
c_block_data_begin, 0, 0, k_block_data_begin),
|
||||
p_wei_block);
|
||||
#endif
|
||||
|
||||
__syncthreads();
|
||||
|
||||
// a series of batched GEMM
|
||||
for(unsigned s = 0; s < S; ++s)
|
||||
{
|
||||
for(unsigned r = 0; r < R; ++r)
|
||||
{
|
||||
auto f_accum = [](auto& acc, const auto&& v) { acc += v; };
|
||||
|
||||
blockwise_batch_gemm.run(p_wei_block + wei_csrk_block_desc.Get1dIndex(0, s, r, 0),
|
||||
p_in_block + in_chwn_block_desc.Get1dIndex(0, s, r, 0),
|
||||
p_out_thread,
|
||||
f_accum);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const auto matrix_c_index =
|
||||
blockwise_batch_gemm.CalculateThreadMatrixCIndex(get_thread_local_1d_id());
|
||||
|
||||
const unsigned ho_thread_data_begin = matrix_c_index.batch_begin;
|
||||
const unsigned k_thread_data_begin = matrix_c_index.row_begin;
|
||||
const unsigned wo_thread_data_begin = matrix_c_index.col_begin / NPerBlock;
|
||||
const unsigned n_thread_data_begin =
|
||||
matrix_c_index.col_begin - wo_thread_data_begin * NPerBlock;
|
||||
|
||||
#if 0
|
||||
printf("block %u %u, %u %u %u %u, %u %u %u %u, %f \n",
|
||||
get_block_1d_id(), get_thread_local_1d_id(),
|
||||
ho_block_data_begin, k_block_data_begin, wo_block_data_begin, n_block_data_begin,
|
||||
ho_thread_data_begin, k_thread_data_begin, wo_thread_data_begin, n_thread_data_begin,
|
||||
p_out_thread[0]);
|
||||
#endif
|
||||
|
||||
// output: register to global mem,
|
||||
// convert out_thread[Ho,K,Wo,N] to out_global[K,Ho,Wo,N]
|
||||
constexpr auto reorder_khwn_from_hkwn = Sequence<1, 0, 2, 3>{};
|
||||
|
||||
threadwise_4d_tensor_copy_reorder_by_get_dst_from_src(
|
||||
out_hkwn_thread_desc,
|
||||
p_out_thread,
|
||||
out_khwn_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_hkwn_thread_desc.GetLengths(),
|
||||
reorder_khwn_from_hkwn);
|
||||
}
|
||||
Reference in New Issue
Block a user