#include #include #include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { namespace gpu { // NOLINTNEXTLINE static const char* const roialign_kernel = R"__migraphx__( #include #include #include #include #include namespace migraphx { extern "C" { __global__ void roialign_kernel(void* in_x, void* in_rois, void* in_ind, void* y) { make_tensors()(in_x, in_rois, in_ind, y)([](auto&&... xs) { auto settings = make_roalign_settings(MIGRAPHX_MAKE_CONSTANT(float{ROIS_OFFSET}), _c, _c, MIGRAPHX_MAKE_CONSTANT(float{SPATIAL_SCALE})); roialign(xs..., settings); }); } } } // namespace migraphx int main() {} )__migraphx__"; operation compile_roialign(context&, const std::vector& io_shapes, const value& val) { hip_compile_options options; auto out_s = io_shapes.back(); options.local = 128; options.global = compute_global(out_s.elements(), options.local); options.inputs = io_shapes; options.output = out_s; options.kernel_name = "roialign_kernel"; options.virtual_inputs = io_shapes; // sampling_ratio assert(val.contains("sampling_ratio")); auto sampling_ratio = val.at("sampling_ratio").to(); options.params += " -DSAMPLING_RATIO=" + std::to_string(sampling_ratio); // pooling_mode assert(val.contains("mode")); auto mode = val.at("mode").to(); bool is_avg_pooling = (mode == migraphx::op::pooling_mode::average); options.params += " -DIS_AVG_POOLING=" + std::to_string(static_cast(is_avg_pooling)); // coord_trans_mode assert(val.contains("coordinate_transformation_mode")); auto ctm = val.at("coordinate_transformation_mode").to(); float rois_offset = (ctm == "output_half_pixel") ? -0.5f : 0.0f; options.params += " -DROIS_OFFSET=" + std::to_string(rois_offset); // spatial_scale assert(val.contains("spatial_scale")); float spatial_scale = val.at("spatial_scale").to(); options.params += " -DSPATIAL_SCALE=" + std::to_string(spatial_scale); return compile_hip_code_object(roialign_kernel, options); } } // namespace gpu } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx