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accel
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move things, clean up extra (#2292)
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2023-11-13 20:18:40 -08:00 |
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assembly
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dtypes.float.vec(sz) (#2386)
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2023-11-22 17:43:14 -08:00 |
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datasets
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bump version to 0.8.0, clean CI, remove requests (#2545)
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2023-12-01 10:42:50 -08:00 |
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dist
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hip & cuda to gpuctypes (#2539)
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2023-12-01 09:25:27 -08:00 |
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gemm
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only 62 gflops (#2629)
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2023-12-05 13:28:24 -08:00 |
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junk
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coder.py can write and run code (#2439)
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2023-11-25 12:27:54 -08:00 |
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models
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JIT=0 llama.py should not jit (#2609)
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2023-12-04 20:21:07 -05:00 |
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optimization
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bye bye NOOP (#2534)
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2023-11-30 23:10:35 -08:00 |
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triton
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Non fp32 math (#2264)
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2023-12-03 13:45:49 -08:00 |
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archprobe.py
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…
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augment.py
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…
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autopad.py
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autopad shapetracker for BEAM (#2375)
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2023-11-22 21:05:25 -05:00 |
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dump_cache.py
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wow how did i think that was okay (#2339)
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2023-11-16 21:21:11 -08:00 |
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export_model.py
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new style device (#2530)
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2023-11-30 17:07:16 -08:00 |
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gradcheck.py
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…
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introspection.py
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move optimize_local_size (#2221)
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2023-11-05 21:00:52 -08:00 |
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lr_scheduler.py
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ResNet training changes (update benchmark) (#2390)
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2023-11-22 17:41:12 -08:00 |
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onnx.py
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onnx ops cleanup (#2413)
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2023-11-23 18:39:49 -08:00 |
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onnx_ops.py
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Fix: Get item from ndarray before casting to int (#2525)
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2023-11-30 18:34:31 -08:00 |
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thneed.py
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new style device (#2530)
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2023-11-30 17:07:16 -08:00 |
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to_movement_ops.py
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Node.vars() returns a set and properly dedup (#2356)
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2023-11-18 17:44:52 -05:00 |
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training.py
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cleanups before interpreted jit (#2306)
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2023-11-14 21:44:25 -08:00 |
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