[examples] added skeleton for tensorflow op

examples/python/tensorflow/blocksparse.cpp

@@ -0,0 +1,38 @@
+#include <iostream>
+
+#include "triton/driver/buffer.h"
+#include "triton/driver/backend.h"
+#include "triton/driver/stream.h"
+
+#define EIGEN_USE_GPU
+#include "tensorflow/core/framework/op.h"
+#include "tensorflow/core/framework/shape_inference.h"
+#include "tensorflow/core/framework/op_kernel.h"
+#include "tensorflow/core/util/cuda_kernel_helper.h"
+#include "tensorflow/core/util/padding.h"
+#include "tensorflow/core/util/tensor_format.h"
+#include "tensorflow/core/framework/common_shape_fns.h"
+
+using namespace tensorflow;
+using GPUDevice = Eigen::GpuDevice;
+
+REGISTER_OP("BlockSparseGemm")
+    .Attr("T: {float}")
+    .Input("A: float")
+    .Input("B: float")
+    .Output("C: float");
+
+class BlockSparseGemmOp : public OpKernel {
+ public:
+  explicit BlockSparseGemmOp(OpKernelConstruction* context) : OpKernel(context) {
+  }
+
+  void Compute(OpKernelContext* context){
+    GPUDevice device =  context->eigen_device<GPUDevice>();
+    triton::driver::cu_stream stream(device.stream(), false);
+  }
+
+private:
+};
+
+REGISTER_KERNEL_BUILDER(Name("BlockSparse").Device(DEVICE_GPU), BlockSparseGemmOp);