[KERNELS] Add NCHW BatchNorm forward (fp32 accum) #8305
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…\n\n- Two-pass kernels: stats (sum/sumsq) + normalize\n- Dtypes: fp32/fp16/bf16; training/eval; PyTorch parity\n- Tests: 21 cases across shapes/dtypes/eps\n- Re-export in triton_kernels.__init__\n\nCloses: triton-lang#900
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Add NCHW BatchNorm forward (two-pass; fp32 accum). API:
triton_kernels.batchnorm_forward(...)→(y, mean, var).python/triton_kernels/bench/bench_batchnorm.py.Closes #900.