feat(ascend): add Ascend framework layer — runtime, type mapping, bui…#46
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…ld integration Add Ascend platform scaffolding: - `device_.h`: `DeviceEnabled<kAscend>` specialization - `data_type_.h`: `toAclDtype()`, `isIntegerDtype()` - `common.h`: `buildAclTensor()` with optional transpose - `workspace_pool_.h`: stream-keyed workspace allocator - `runtime_.h`: `Runtime<kAscend>` (Malloc, Free, Memcpy, Memset) - 5 new operator base classes (AddRmsNorm, FlashAttention, Matmul, ReshapeAndCache, RotaryEmbedding) Integrate into CMake build system, Python binding generation (stream + optional tensor support), and examples runtime API.
…emove missing include - Wrap `aclrtMemcpy` (5-arg) and `aclrtMemset` (4-arg) in lambdas to match the generic 4-arg / 3-arg calling convention used by examples. - Assert `aclrtMalloc` return value in `WorkspacePool::ensure()`. - Remove `ascend/gemm/kernel.h` include from `runtime_api.h` (file does not exist until the kernels commit).
- Add Ascend GEMM specialization using `aclnnAddmm`/`aclnnBaddbmm`. - Add `get_npu_stream()` helper and NPU device detection in test utils. - Add `skip_unsupported_dtype` fixture for Ascend in conftest. - Update `runtime_api.h` with Ascend backend entry.
The `aclrtMalloc` call was the sole expression inside `assert()`, so it was compiled away in release builds (NDEBUG). This left the workspace buffer null, causing `aclnnAddmm` to return ACLNN_ERR_PARAM_NULLPTR (161001) for any operation that requires workspace (e.g. alpha != 1.0).
`CudaCausalSoftmax` was missing `#include "cuda/runtime_utils.h"`, causing `RuntimeUtils` to be undefined. Drop `std::forward` from `Operator::make` nested lambda — NVCC instantiates the body during SFINAE invocability checks even inside `if constexpr` false branches, causing template resolution failures. All operator constructors take parameters by value, so lvalue pass has identical semantics.
Upgrade base image from `nvcr.io/nvidia/pytorch:24.10-py3` (CUDA 12.6) to `25.12-py3` (CUDA 13.1), aligning CI with the local dev environment. Restore `std::forward<Args>(args)...` in `Operator::make`, as the NVCC bug that required dropping it is fixed in the newer toolkit.
`Tensor::Size` (`unsigned long`) to `int64_t` narrowing is an error on MetaX's clang-based compiler (`-Wc++11-narrowing`).
- Add blank lines between struct/class members per style guide - Capitalize comments and use backtick syntax for code refs in `matmul.h` - Move `import re` to module level in `generate_wrappers.py` - Add blank lines before `for`/`return` per PEP 8 in `generate_wrappers.py` - Replace `-k npu` with `--devices ascend` in CI config
- Fix `ruff format` violations in `generate_wrappers.py` and `test_gemm.py`. - Fix `ruff isort` violation: move `import re` into stdlib group. - Add backticks around identifiers in comments (`numel()`, `operator()`, `make()`, `torch_npu`, `uint16`/`uint32`/`uint64`). - Add missing blank line after `if` block in `skip_unsupported_dtype`. - Remove `.worktrees/` from project `.gitignore` (belongs in global gitignore).
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…ld integration
Add Ascend platform scaffolding:
device_.h:DeviceEnabled<kAscend>specializationdata_type_.h:toAclDtype(),isIntegerDtype()common.h:buildAclTensor()with optional transposeworkspace_pool_.h: stream-keyed workspace allocatorruntime_.h:Runtime<kAscend>(Malloc, Free, Memcpy, Memset)Integrate into CMake build system, Python binding generation (stream + optional tensor support), and examples runtime API.