[TESTS] Fixed bug in how test arguments are enqueued
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@@ -19,9 +19,9 @@ int main() {
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// {1, 8, 8, 256, 256, 3, 3, 1, 1, 1, 1},
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// {1, 16, 16, 256, 256, 3, 3, 1, 1, 1, 1},
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// {1, 32, 32, 256, 256, 3, 3, 1, 1, 1, 1},
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{1, 32, 32, 256, 256, 3, 3, 1, 1, 1, 1},
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// {1, 64, 64, 256, 256, 3, 3, 1, 1, 1, 1},
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{1, 64, 64, 4096, 4096, 1, 1, 0, 0, 1, 1},
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// {1, 64, 64, 4096, 4096, 1, 1, 0, 0, 1, 1},
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// {1, 256, 256, 256, 256, 3, 3, 1, 1, 1, 1}
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@@ -11,34 +11,6 @@
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#include "cuda/cublas.h"
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#include "util.h"
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struct conv_arg_t{
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CUdeviceptr a;
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CUdeviceptr b;
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CUdeviceptr c;
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float alpha;
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int M;
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int N;
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int K;
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int pad_h;
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int pad_w;
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int stride_h;
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int stride_w;
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CUdeviceptr adelta;
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int lda_z;
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int lda_ci;
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int lda_h;
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int lda_w;
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int ldb_ci;
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int ldb_r;
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int ldb_s;
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int ldb_co;
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int ldc_z;
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int ldc_co;
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int ldc_p;
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int ldc_q;
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};
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enum run_mode_t {
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BENCH,
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TEST
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@@ -104,8 +76,8 @@ void triton_conv(drv::context* context, drv::stream* stream,
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// macros
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rt::options_space_t opt;
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opt.defines.push_back({"TYPE", {ty}});
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opt.defines.push_back({"TM", {"128"}});
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opt.defines.push_back({"TN", {"128"}});
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opt.defines.push_back({"TM", {"64", "128"}});
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opt.defines.push_back({"TN", {"64", "128"}});
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opt.defines.push_back({"TK", {std::to_string(TK)}});
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opt.defines.push_back({"TZ", {"1"}});
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opt.defines.push_back({"RR", {std::to_string(R)}});
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@@ -114,24 +86,42 @@ void triton_conv(drv::context* context, drv::stream* stream,
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opt.defines.push_back({"QQ", {std::to_string(Q)}});
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opt.defines.push_back({"HH", {std::to_string(H)}});
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opt.defines.push_back({"WW", {std::to_string(W)}});
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opt.num_warps = {2, 4};
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opt.num_warps = {4};
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// arguments
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std::stringstream oss;
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rt::add_arg(oss, *da->cu());
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rt::add_arg(oss, *db->cu());
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rt::add_arg(oss, *dc->cu());
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rt::add_arg(oss, (float)1);
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rt::add_arg(oss, Z*P*Q);
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rt::add_arg(oss, CO);
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rt::add_arg(oss, CI*R*S);
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rt::add_arg(oss, pad_h);
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rt::add_arg(oss, pad_w);
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rt::add_arg(oss, stride_h);
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rt::add_arg(oss, stride_w);
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rt::add_arg(oss, *ddelta->cu());
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rt::add_arg(oss, W*H*CI);
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rt::add_arg(oss, W*H);
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rt::add_arg(oss, W);
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rt::add_arg(oss, 1);
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rt::add_arg(oss, CO*S*R);
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rt::add_arg(oss, CO*S);
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rt::add_arg(oss, CO);
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rt::add_arg(oss, 1);
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rt::add_arg(oss, Q*P*CO);
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rt::add_arg(oss, Q*P);
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rt::add_arg(oss, Q);
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rt::add_arg(oss, 1);
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// kernels
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rt::function function(src::conv, opt);
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conv_arg_t args{*da->cu(), *db->cu(), *dc->cu(), 1, Z*P*Q, CO, CI*R*S,
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pad_h, pad_w, stride_h, stride_w,
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*ddelta->cu(),
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W*H*CI, W*H, W, 1,
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CO*S*R , CO*S, CO, 1,
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Q*P*CO, Q*P, Q, 1};
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auto grid = [Z,P,Q,CO](const rt::options_t& x) {
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return rt::grid_t{ceil(Z*P*Q, x.D<int>("TM")),
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ceil(CO , x.D<int>("TN")),
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(size_t)x.D<int>("TZ")};
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};
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auto tflops = [&](double nanosec) { return 2.*Z*P*Q*CI*CO*R*S / nanosec * 1e-3; };
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double triton_ns = triton::tools::bench([&]() { function((void**)&args, sizeof(args), grid, stream, device);}, stream);
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double triton_ns = triton::tools::bench([&]() { function((void**)oss.str().data(), oss.str().size(), grid, stream, device);}, stream);
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bench.push_back(tflops(triton_ns));
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}
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@@ -12,15 +12,6 @@ int32_t off(const std::vector<int32_t>& idx, const std::vector<int32_t>& strides
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return res;
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}
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struct copy_arg_t{
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CUdeviceptr X;
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CUdeviceptr Y;
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int S0;
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int S1;
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int S2;
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};
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enum run_mode_t {
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BENCH,
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TEST
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@@ -124,16 +115,21 @@ void triton_copy_nd(drv::context* context, drv::stream* stream, const std::vecto
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// kernel
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rt::function function(src::copy_nd[rank - 1], opt);
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copy_arg_t args = {*dx->cu(), *dy->cu(), shape[0]};
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if(shape.size() > 1) args.S1 = shape[1];
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if(shape.size() > 2) args.S2 = shape[2];
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std::stringstream oss;
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rt::add_arg(oss, *dx->cu());
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rt::add_arg(oss, *dy->cu());
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rt::add_arg(oss, (uint32_t)shape[0]);
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if(shape.size() > 1) rt::add_arg(oss, (uint32_t)shape[1]);
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if(shape.size() > 2) rt::add_arg(oss, (uint32_t)shape[2]);
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std::vector<std::string> ts = {"TS0", "TS1", "TS2"};
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auto grid = grid_nd(shape, ts);
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// metrics
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if(mode == BENCH){
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auto gbps = [&](double ns) { return 2 * size * dtsize / (ns * 1e-9) * 1e-9; };
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double triton_ns = triton::tools::bench([&]() { function((void**)&args, sizeof(args), grid, stream, device);}, stream);
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double triton_ns = triton::tools::bench([&]() { function((void**)oss.str().data(), oss.str().size(), grid, stream, device);}, stream);
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bench.push_back(gbps(triton_ns));
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}
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@@ -145,7 +141,7 @@ void triton_copy_nd(drv::context* context, drv::stream* stream, const std::vecto
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for(size_t i = 0; i < hx.size(); i++)
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hx[i] = static_cast<T>((float)rand()/RAND_MAX);
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stream->write(&*dx, true, 0, hx);
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function((void**)&args, sizeof(args), grid, stream, device);
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function((void**)oss.str().data(), oss.str().size(), grid, stream, device);
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stream->synchronize();
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stream->read(&*dy, true, 0, hy);
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cc_copy_nd(hx, ry, shape, x_order, y_order);
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@@ -12,21 +12,6 @@
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#include "cuda/cublas.h"
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#include "util.h"
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struct dot_arg_t{
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uintptr_t a;
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uintptr_t b;
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uintptr_t c;
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float alpha;
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int M;
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int N;
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int K;
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int lda;
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int ldb;
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int ldc;
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uintptr_t locks;
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};
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template<class T, bool AT, bool BT>
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static void cc_dot(std::vector<T> &c, const std::vector<T> &a, const std::vector<T> &b,
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size_t M, size_t N, size_t K){
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@@ -126,11 +111,22 @@ void triton_dot(drv::context* context, drv::stream* stream, bool AT, bool BT,
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opts.num_warps = {4};
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}
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// kernels
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// arguments
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std::stringstream oss;
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rt::add_arg(oss, *da->cu());
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rt::add_arg(oss, *db->cu());
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rt::add_arg(oss, *dc->cu());
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rt::add_arg(oss, (float)1);
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rt::add_arg(oss, M);
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rt::add_arg(oss, N);
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rt::add_arg(oss, K);
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rt::add_arg(oss, lda);
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rt::add_arg(oss, ldb);
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rt::add_arg(oss, ldc);
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rt::add_arg(oss, *dlocks->cu());
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// kernel
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rt::function function(src::dot, opts);
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dot_arg_t args = {da->addr_as_uintptr_t(), db->addr_as_uintptr_t(), dc->addr_as_uintptr_t(),
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1, M, N, K, lda, ldb, ldc, dlocks->addr_as_uintptr_t()};
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// grid
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auto grid = [M, N](const rt::options_t& x) {
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return rt::grid_t{ceil(M, x.D<int>("TM"))*
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ceil(N, x.D<int>("TN")),
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@@ -140,7 +136,7 @@ void triton_dot(drv::context* context, drv::stream* stream, bool AT, bool BT,
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// metrics
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if(mode == BENCH){
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auto tflops = [&](double nanosec) { return 2.*M*N*K / nanosec * 1e-3; };
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double triton_ns = triton::tools::bench([&]() { function((void**)&args, sizeof(args), grid, stream, device);}, stream);
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double triton_ns = triton::tools::bench([&]() { function((void**)oss.str().data(), oss.str().size(), grid, stream, device);}, stream);
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bench.push_back(tflops(triton_ns));
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// cublas
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@@ -177,7 +173,7 @@ void triton_dot(drv::context* context, drv::stream* stream, bool AT, bool BT,
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stream->write(&*da, true, 0, ha);
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stream->write(&*db, true, 0, hb);
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// run kernel
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function((void**)&args, sizeof(args), grid, stream, device);
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function((void**)oss.str().data(), oss.str().size(), grid, stream, device);
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// write back
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stream->synchronize();
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// compare with CPU
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@@ -13,15 +13,6 @@
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namespace drv = triton::driver;
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namespace rt = triton::runtime;
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struct reduce_arg_t{
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CUdeviceptr X;
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CUdeviceptr Y;
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int S0;
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int S1;
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int S2;
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};
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template<class T>
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void cc_reduce_nd(std::vector<T> &y, const std::vector<T> &x, reduce_op_t op, size_t axis, const std::vector<int>& shapes) {
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assert(axis <= shapes.size() - 1);
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