Disty0
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f05c29175e
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cleanup
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2025-10-19 02:09:25 +03:00 |
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Disty0
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ef72edf18f
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SDNQ improve svd and low bit matmul perf
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2025-10-19 00:06:07 +03:00 |
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Disty0
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9206d9443e
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SDNQ add dequantize model
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2025-10-12 00:00:53 +03:00 |
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Disty0
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5306376b2a
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improve contiguous mm performance
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2025-10-06 19:05:46 +03:00 |
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Disty0
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be91bbff75
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SDNQ add SVD support for Convs
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2025-10-06 18:26:42 +03:00 |
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Disty0
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c931bf9efa
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SDNQ add dtype casting to loader
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2025-10-06 17:44:52 +03:00 |
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Disty0
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23f2deaa58
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fix enable_quantized_mamtul
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2025-10-06 02:04:28 +03:00 |
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Disty0
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9e52d0c1fb
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SDNQ add SVDQuant quantization method
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2025-10-05 22:50:30 +03:00 |
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Disty0
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f2e12a682f
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SDNQ remove use_contiguous_mm path in re_quant
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2025-10-04 19:17:05 +03:00 |
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Disty0
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99113947bf
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SDNQ add RDNA2 INT8 support via Triton
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2025-10-04 18:31:25 +03:00 |
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Disty0
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95a7da7e75
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SDNQ use non-contiguous re-quantize
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2025-10-03 18:54:58 +03:00 |
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Disty0
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54acf1760b
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Make SDNQ scales compatible with balanced offload
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2025-10-03 18:13:55 +03:00 |
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Disty0
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e6715ba8d3
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Cleanup SDNQ compile
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2025-09-19 19:29:36 +03:00 |
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Disty0
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a12edc1e90
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SDNQ use nan_to_num_ with fp8 quantization in case of zeros
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2025-09-15 20:22:39 +03:00 |
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Disty0
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4ec8603f63
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SDNQ re-add bitpacking for uint1
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2025-08-29 23:06:11 +03:00 |
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Disty0
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d49e954918
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SDNQ listen to dequantize_fp32 option with re_quantize
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2025-08-29 22:48:28 +03:00 |
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Disty0
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a8de3f7282
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SDNQ add quantized matmul support for all quantization types and group sizes
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2025-08-29 22:26:47 +03:00 |
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Disty0
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8460be662c
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SDNQ use inplace transpose and use view instead of reshape
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2025-08-17 05:07:55 +03:00 |
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Disty0
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dc7b25d387
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Cleanup SDNQ and add SDNQ_USE_TENSORWISE_FP8_MATMUL env var
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2025-08-11 14:50:17 +03:00 |
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Disty0
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3f45c4e570
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Cleanup SDNQ and skip transpose on packed int8 matmul
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2025-08-10 19:31:34 +03:00 |
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Disty0
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c3d007b02c
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SDNQ split forward.py into layers and cleanup
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2025-08-02 17:36:55 +03:00 |
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Disty0
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25a4731a97
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SDNQ use static compile
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2025-07-20 16:25:57 +03:00 |
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Disty0
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86cd272b96
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SDNQ fix Dora
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2025-06-18 16:24:42 +03:00 |
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Disty0
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26800a1ef9
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Cleanup sdnq
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2025-06-17 02:05:13 +03:00 |
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Disty0
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d31df8c1eb
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SDNQ fuse bias into dequantizer with matmul
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2025-06-14 22:10:10 +03:00 |
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Disty0
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5e013fb154
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SDNQ optimize input quantization and use the word quantize instead of compress
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2025-06-12 12:06:57 +03:00 |
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