| 356 | } |
| 357 | |
| 358 | void CheckerHelper::init_naive_values() { |
| 359 | auto&& tensors_naive = *m_tensors_naive; |
| 360 | megdnn_assert(!m_input_tensors_fpath || !m_tensor_constraint); |
| 361 | if (m_input_tensors_fpath) { |
| 362 | auto load = load_tensors(m_input_tensors_fpath); |
| 363 | m_input_tensors_fpath = nullptr; |
| 364 | megdnn_assert(load.size() <= tensors_naive.size()); |
| 365 | |
| 366 | for (size_t i = 0; i < load.size(); ++i) { |
| 367 | auto&& src = load[i]; |
| 368 | auto&& dst = tensors_naive[i]; |
| 369 | megdnn_assert(src->layout.eq_layout(dst.layout)); |
| 370 | memcpy_noncontig(dst.raw_ptr(), src->raw_ptr(), dst.layout, memcpy); |
| 371 | } |
| 372 | return; |
| 373 | } |
| 374 | |
| 375 | for (size_t i = 0; i < tensors_naive.size(); ++i) { |
| 376 | auto&& tensor = tensors_naive[i]; |
| 377 | auto rng = m_rng[i]; |
| 378 | if (!rng) |
| 379 | rng = m_default_rng.get(); |
| 380 | rng->gen(tensor); |
| 381 | } |
| 382 | |
| 383 | if (m_tensor_constraint) { |
| 384 | m_tensor_constraint(tensors_naive); |
| 385 | } |
| 386 | } |
| 387 | |
| 388 | void CheckerHelper::copy_tensors_from_device( |
| 389 | const TensorValueArray& dest, const TensorValueArray& src) { |