| 23 | |
| 24 | template<typename T> |
| 25 | inline void CopyMakeBorder(nvbench::state &state, nvbench::type_list<T>) |
| 26 | try |
| 27 | { |
| 28 | long3 srcShape = benchutils::GetShape<3>(state.get_string("shape")); |
| 29 | long varShape = state.get_int64("varShape"); |
| 30 | |
| 31 | NVCVBorderType borderType = benchutils::GetBorderType(state.get_string("border")); |
| 32 | |
| 33 | float4 borderValue{0.f, 0.f, 0.f, 0.f}; |
| 34 | |
| 35 | int top = srcShape.y / 2; |
| 36 | int left = srcShape.z / 2; |
| 37 | |
| 38 | long3 dstShape{srcShape.x, top + srcShape.y, left + srcShape.z}; |
| 39 | |
| 40 | state.add_global_memory_reads(srcShape.x * srcShape.y * srcShape.z * sizeof(T)); |
| 41 | state.add_global_memory_writes(dstShape.x * dstShape.y * dstShape.z * sizeof(T)); |
| 42 | |
| 43 | cvcuda::CopyMakeBorder op; |
| 44 | |
| 45 | // clang-format off |
| 46 | |
| 47 | if (varShape < 0) // negative var shape means use Tensor |
| 48 | { |
| 49 | nvcv::Tensor src({{srcShape.x, srcShape.y, srcShape.z, 1}, "NHWC"}, benchutils::GetDataType<T>()); |
| 50 | nvcv::Tensor dst({{dstShape.x, dstShape.y, dstShape.z, 1}, "NHWC"}, benchutils::GetDataType<T>()); |
| 51 | |
| 52 | benchutils::FillTensor<T>(src, benchutils::RandomValues<T>()); |
| 53 | |
| 54 | state.exec(nvbench::exec_tag::sync, |
| 55 | [&op, &src, &dst, &top, &left, &borderType, &borderValue](nvbench::launch &launch) |
| 56 | { |
| 57 | op(launch.get_stream(), src, dst, top, left, borderType, borderValue); |
| 58 | }); |
| 59 | } |
| 60 | else // zero and positive var shape means use ImageBatchVarShape |
| 61 | { |
| 62 | nvcv::ImageBatchVarShape src(srcShape.x); |
| 63 | nvcv::ImageBatchVarShape dst(dstShape.x); |
| 64 | |
| 65 | benchutils::FillImageBatch<T>(src, long2{srcShape.z, srcShape.y}, long2{varShape, varShape}, |
| 66 | benchutils::RandomValues<T>()); |
| 67 | benchutils::FillImageBatch<T>(dst, long2{dstShape.z, dstShape.y}, long2{varShape, varShape}, |
| 68 | benchutils::RandomValues<T>()); |
| 69 | |
| 70 | nvcv::Tensor topTensor({{srcShape.x, 1, 1, 1}, "NHWC"}, nvcv::TYPE_S32); |
| 71 | nvcv::Tensor leftTensor({{srcShape.x, 1, 1, 1}, "NHWC"}, nvcv::TYPE_S32); |
| 72 | |
| 73 | benchutils::FillTensor<int>(topTensor, [&top](const long4_16a &){ return top; }); |
| 74 | benchutils::FillTensor<int>(leftTensor, [&left](const long4_16a &){ return left; }); |
| 75 | |
| 76 | state.exec(nvbench::exec_tag::sync, |
| 77 | [&op, &src, &dst, &topTensor, &leftTensor, &borderType, &borderValue](nvbench::launch &launch) |
| 78 | { |
| 79 | op(launch.get_stream(), src, dst, topTensor, leftTensor, borderType, borderValue); |
| 80 | }); |
| 81 | } |
| 82 | } |
nothing calls this directly
no test coverage detected