[NPU, A3] Add NPU kernel support for A3 machines [1/2]

[zheliuyu]

Motivation

This work follows the roadmap in linkedin/Liger-Kernel#969. The goal is to exercise the NPU kernel on Atlas 800T A3 (64G) and report how the test suite behaves on that hardware.

Details

• Fixed the Ascend implementation of attn_res so it passes on A3 alongside the rest of the suite.
• After the fix, the full test run completes successfully. 🍾

Why attn_res failed on A3

The failure showed up as vector-core / ACL errors (e.g. 507035, device sync failing), not a normal atol/rtol mismatch.

• Ascend attn_res uses wide masked loads along the feature dim (e.g. BLOCK_D = next_power_of_2(D)).
• Tests include awkward sizes like D = 123 with float32, so row pitch is 123 × 4 = 492 bytes—not 32B/64B-friendly for many vectorized paths on this stack, which can trigger vector-core faults for that lowering.
• Fix: pad the last dim to a multiple of 16, pass d_stride as the real memory pitch, keep D for math/masks, and slice/pad tensors so callers still see logical D.

Benchmark results for the 4 most frequently used kernels

cross_entropy_memory_full_token_length	cross_entropy_speed_backward_token_length
cross_entropy_speed_forward_token_length	cross_entropy_speed_full_token_length
cross_entropy_speed_no-grad-forward_token_length	rms_norm_memory_full_token_length
rms_norm_speed_backward_token_length	rms_norm_speed_forward_token_length
rms_norm_speed_full_token_length	rope_memory_full_token_length
rope_speed_backward_token_length	rope_speed_forward_token_length
rope_speed_full_token_length	swiglu_memory_full_token_length
swiglu_speed_backward_token_length	swiglu_speed_forward_token_length
swiglu_speed_full_token_length

Testing Done

• Hardware Type: All NPUs.
• run make test to ensure correctness
• run make checkstyle to ensure code style
• run make test-convergence to ensure convergence

[Tcc0403]

LGTM

[zheliuyu]

@Tcc0403 This PR is ready for review.

[Tcc0403]

LGTM