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fix(xla): load bf16 affine quant scales in the OpenXLA weight loader - #569
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The XLA 4bit/8bit dequant loader hardcoded an f16 expectation for the affine scales/biases and rejected anything else. The pre-existing baselines (Llama-3.2-1B, Qwen2.5-0.5B) happen to store f16 scales, so it went unnoticed, but every Qwen3 dense checkpoint, Gemma3-27B, and Qwen3-MoE store bf16 scales, so `XlaReferenceEngine::load` failed with "scales/biases dtype BF16/BF16, expected F16" and those architectures could not load or generate on the XLA path at all. Thread a `scales_bf16` flag through `dequantize_affine` and `dequantize_affine_stacked` and widen the matching 16-bit format to f32 via the existing `bf16_to_f32` (both f16 and bf16 are exact in f32). `iree.rs` now accepts a matching F16 or BF16 scale/bias pair and rejects only a mismatched or non-16-bit pair. This completes the "loads and generates via CLI" acceptance for the Qwen3 / Gemma3 / MoE families added in epic #493. Adds a bf16-scales dequant unit test (2.0/0.5/10.0/-1.0 are exact in bf16, so the recovered row matches the f16 hand example).
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…ablup#569) * fix(xla): load bf16 affine quant scales in the OpenXLA weight loader The XLA 4bit/8bit dequant loader hardcoded an f16 expectation for the affine scales/biases and rejected anything else. The pre-existing baselines (Llama-3.2-1B, Qwen2.5-0.5B) happen to store f16 scales, so it went unnoticed, but every Qwen3 dense checkpoint, Gemma3-27B, and Qwen3-MoE store bf16 scales, so `XlaReferenceEngine::load` failed with "scales/biases dtype BF16/BF16, expected F16" and those architectures could not load or generate on the XLA path at all. Thread a `scales_bf16` flag through `dequantize_affine` and `dequantize_affine_stacked` and widen the matching 16-bit format to f32 via the existing `bf16_to_f32` (both f16 and bf16 are exact in f32). `iree.rs` now accepts a matching F16 or BF16 scale/bias pair and rejects only a mismatched or non-16-bit pair. This completes the "loads and generates via CLI" acceptance for the Qwen3 / Gemma3 / MoE families added in epic lablup#493. Adds a bf16-scales dequant unit test (2.0/0.5/10.0/-1.0 are exact in bf16, so the recovered row matches the f16 hand example). * style(xla): rustfmt-wrap the bf16 stacked-dequant test call
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The XLA 4bit/8bit dequant loader hardcoded an f16 expectation for the affine scales/biases and rejected anything else. The pre-existing baselines (Llama-3.2-1B, Qwen2.5-0.5B) store f16 scales so it went unnoticed, but every Qwen3 dense checkpoint, Gemma3-27B, and Qwen3-MoE store bf16 scales, so
XlaReferenceEngine::loadfailed with "scales/biases dtype BF16/BF16, expected F16" and those architectures could not load or generate on the XLA path at all. This surfaced during the epic #493 GPU (xla-iree, CUDA) validation sweep.Thread a
scales_bf16flag throughdequantize_affineanddequantize_affine_stackedand widen the matching 16-bit format to f32 via the existingbf16_to_f32(both f16 and bf16 are exact in f32).iree.rsnow accepts a matching F16 or BF16 scale/bias pair and rejects only a mismatched or non-16-bit pair. This completes the "loads and generates via CLI" acceptance for the Qwen3 / Gemma3 / MoE families added in epic #493.Validation: new bf16-scales dequant unit test (2.0/0.5/10.0/-1.0 are exact in bf16, recovered row matches the f16 hand example); full mlxcel-xla lib suite green (112 passed); clippy/fmt clean. On a GB10 with the xla-iree CUDA build, qwen3-0.6b-4bit (bf16 scales) is now token-exact single-sequence vs the HF fp32 oracle (was previously unloadable), and gemma3-1b-4bit + stablelm-1.6b-4bit pass both the single-seq and serve gates.
Relates to #493.