| 32 | namespace py = pybind11; |
| 33 | |
| 34 | class TensorBatch |
| 35 | : public Resource |
| 36 | , public nvcv::TensorBatch |
| 37 | { |
| 38 | public: |
| 39 | static TensorBatch Create(int capacity) |
| 40 | { |
| 41 | PyObject *tensorBatch = capi().TensorBatch_Create(capacity); |
| 42 | CheckCAPIError(); |
| 43 | NVCV_ASSERT(tensorBatch != nullptr); |
| 44 | py::object pytensorBatch = py::reinterpret_steal<py::object>(tensorBatch); |
| 45 | |
| 46 | return TensorBatch(pytensorBatch); |
| 47 | } |
| 48 | |
| 49 | void pushBack(Tensor tensor) |
| 50 | { |
| 51 | capi().TensorBatch_PushBack(this->ptr(), tensor.ptr()); |
| 52 | CheckCAPIError(); |
| 53 | } |
| 54 | |
| 55 | void popBack(int cnt) |
| 56 | { |
| 57 | capi().TensorBatch_PopBack(this->ptr(), cnt); |
| 58 | CheckCAPIError(); |
| 59 | } |
| 60 | |
| 61 | void clear() |
| 62 | { |
| 63 | capi().TensorBatch_Clear(this->ptr()); |
| 64 | CheckCAPIError(); |
| 65 | } |
| 66 | |
| 67 | using nvcv::TensorBatch::operator[]; |
| 68 | using nvcv::TensorBatch::begin; |
| 69 | using nvcv::TensorBatch::end; |
| 70 | |
| 71 | private: |
| 72 | friend struct py::detail::type_caster<TensorBatch>; |
| 73 | |
| 74 | TensorBatch() = default; |
| 75 | |
| 76 | explicit TensorBatch(py::object obj) |
| 77 | : Resource(obj) |
| 78 | , nvcv::TensorBatch(FromHandle(CheckCAPIError(capi().TensorBatch_GetHandle(this->ptr())), true)) |
| 79 | { |
| 80 | } |
| 81 | }; |
| 82 | |
| 83 | } // namespace nvcvpy |
| 84 | |