65 lines
2.1 KiB
C++
65 lines
2.1 KiB
C++
#include <iostream>
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#include "triton/driver/buffer.h"
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#include "triton/driver/backend.h"
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#include "triton/driver/stream.h"
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#include "triton/runtime/jit.h"
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#include "triton/tools/bench.hpp"
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#include "triton/dnn/gemm.h"
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#define EIGEN_USE_GPU
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#include "tensorflow/core/framework/op.h"
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#include "tensorflow/core/framework/shape_inference.h"
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#include "tensorflow/core/framework/op_kernel.h"
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#include "tensorflow/core/util/cuda_kernel_helper.h"
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#include "tensorflow/core/util/padding.h"
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#include "tensorflow/core/util/tensor_format.h"
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#include "tensorflow/core/framework/common_shape_fns.h"
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using namespace tensorflow;
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using GPUDevice = Eigen::GpuDevice;
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class DotOp : public OpKernel {
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public:
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explicit DotOp(OpKernelConstruction* context) : OpKernel(context) {
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}
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void Compute(OpKernelContext* context){
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// get device/stream
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GPUDevice device = context->eigen_device<GPUDevice>();
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triton::driver::cu_stream sstream(device.stream(), false);
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triton::driver::context* ctx = sstream.context();
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triton::driver::stream* stream = &sstream;
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// get inputs
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const Tensor& a = context->input(0);
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const Tensor& b = context->input(1);
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// get shapes
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const int32_t M = a.dim_size(0);
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const int32_t N = b.dim_size(0);
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const int32_t K = a.dim_size(1);
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// allocate output
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Tensor* c = nullptr;
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TensorShape out_shape({(int64)M, (int64)N});
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OP_REQUIRES_OK(context, context->allocate_output(0, out_shape, &c));
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// return early if possible
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if (out_shape.num_elements() == 0)
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return;
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// matrix multiplication parameters
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triton::driver::cu_buffer da(ctx, (CUdeviceptr)a.flat<Eigen::half>().data(), false);
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triton::driver::cu_buffer db(ctx, (CUdeviceptr)b.flat<Eigen::half>().data(), false);
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triton::driver::cu_buffer dc(ctx, (CUdeviceptr)c->flat<float>().data(), false);
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// template
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triton::dnn::dot dot(M, N, K, false, false, "fp16", "fp16", 8, 8);
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dot.enqueue(stream, {&da, &db, &dc});
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}
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private:
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};
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REGISTER_KERNEL_BUILDER(Name("Dot").Device(DEVICE_GPU), DotOp);
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REGISTER_OP("Dot")
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.Input("a: float16")
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.Input("b: float16")
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.Output("c: float32")
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;
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