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| "name": "ai.onnx.QLinearMatMul", |
| "id": "_ai_onnx_qlinearmatmul_webgpu_3bb6b41", |
| "version": 1, |
| "license": "Apache-2.0", |
| "backend": { "type": "webgpu" }, |
| "digest": { |
| "algorithm": "sha256", |
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| "portable_precast_scalar_f16": ["quant-exact-portable.wgsl.jinja", "quant-exact-prepare.wgsl.jinja"], |
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| "portable_precast_scalar": ["quant-exact-portable.wgsl.jinja", "quant-exact-prepare.wgsl.jinja"], |
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| "portable_precast_column_scale": ["quant-exact-portable.wgsl.jinja", "quant-exact-prepare.wgsl.jinja"], |
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| "portable_precast_column_zero_f16": ["quant-exact-portable.wgsl.jinja", "quant-exact-prepare.wgsl.jinja"], |
| "sgmat_precast_column_zero": ["quant-exact-matrix.wgsl.jinja", "quant-exact-prepare.wgsl.jinja"], |
| "portable_precast_column_zero": ["quant-exact-portable.wgsl.jinja", "quant-exact-prepare.wgsl.jinja"], |
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| "sgmat_exact_column_zero": ["quant-exact-matrix.wgsl.jinja"], |
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| "rank2_scalar_quantization": ["qlinear-matmul-accumulate.wgsl.jinja", "qlinear-matmul-requantize.wgsl.jinja"], |
| "rank2_per_column_quantization": ["qlinear-matmul-accumulate.wgsl.jinja", "qlinear-matmul-requantize.wgsl.jinja"], |
| "dp4a_rank2_scalar_quantization": ["quant-dp4a-matmul.wgsl.jinja"], |
| "dp4a_rank2_per_column_quantization": ["quant-dp4a-matmul.wgsl.jinja"], |
| "dp4a_rank2_per_column_scale_scalar_zp": ["quant-dp4a-matmul.wgsl.jinja"], |
| "dp4a_rank2_scalar_scale_per_column_zp": ["quant-dp4a-matmul.wgsl.jinja"], |
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| "portable_accurate_dp4a_rank3_scalar_quantization": ["qlinear-matmul-requantize.wgsl.jinja", "quant-dp4a-matmul.wgsl.jinja"], |
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| "portable_accurate_dp4a_rank2_scalar_scale_per_column_zp": ["qlinear-matmul-requantize.wgsl.jinja", "quant-dp4a-matmul.wgsl.jinja"], |
| "portable_accurate_dp4a_rank2_scalar_scale_per_column_zp_tail": ["qlinear-matmul-requantize.wgsl.jinja", "quant-dp4a-matmul.wgsl.jinja"] |
| } |
| } |
| } |
|
|
