[ET-VK][Ops] linear_qta8a_qga4w_qta8o test framework#12375
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Pull Request resolved: #12005 # Context This test framework establishes the foundation for validating the `linear_qta8a_qga4w` operator implementation as part of enabling dynamic quantization. The motivation stems from advancing beyond weight-only quantization to full activation and weight quantized linear operations, enabling true integer arithmetic throughout the matrix multiplication process for improved performance on GPU hardware. The current weight-only quantized linear implementations in ET-VK dequantize weights to floating point before computation, missing the performance benefits of integer arithmetic. This operator nomenclature breakdown: - **qta8a**: Quantized per-token affine 8-bit activation inputs - **qga4w**: Quantized per-group affine 4-bit weights # Changes The reference implementation (`linear_qta8a_qga4w_4bit_dequant_impl`) provides a baseline for validating the GPU shader implementation through a deliberately simplified computation path. The quantized int8 input tensor is dequantized using the standard affine transformation `(quantized_input.to(at::kFloat) - input_zero_point) * input_scale`. After dequantization, the implementation performs standard floating point linear operation `at::linear(x_float, weights_dequantized)`. This two-stage approach of dequantize → compute provides a clear reference against which the GPU's integer arithmetic implementation can be validated. ghstack-source-id: 295393632 @exported-using-ghexport Differential Revision: [D77173442](https://our.internmc.facebook.com/intern/diff/D77173442/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/12375
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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #12005 by @ahmtox
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/ahmtox/24/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/ahmtox/24/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/ahmtox/24/orig
@diff-train-skip-merge