comfyanonymous
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4760c29380
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Merge branch 'fix-AttributeError-module-'torch'-has-no-attribute-'mps'' of https://github.com/KarryCharon/ComfyUI
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2023-07-20 00:34:54 -04:00 |
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comfyanonymous
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18885f803a
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Add MX450 and MX550 to list of cards with broken fp16.
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2023-07-19 03:08:30 -04:00 |
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comfyanonymous
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ff6b047a74
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Fix device print on old torch version.
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2023-07-17 15:18:58 -04:00 |
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comfyanonymous
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1679abd86d
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Add a command line argument to enable backend:cudaMallocAsync
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2023-07-17 11:00:14 -04:00 |
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comfyanonymous
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5f57362613
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Lower lora ram usage when in normal vram mode.
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2023-07-16 02:59:04 -04:00 |
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comfyanonymous
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490771b7f4
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Speed up lora loading a bit.
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2023-07-15 13:25:22 -04:00 |
KarryCharon
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3e2309f149
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fix mps miss import
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2023-07-12 10:06:34 +08:00 |
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comfyanonymous
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0ae81c03bb
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Empty cache after model unloading for normal vram and lower.
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2023-07-09 09:56:03 -04:00 |
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comfyanonymous
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e7bee85df8
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Add arguments to run the VAE in fp16 or bf16 for testing.
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2023-07-06 23:23:46 -04:00 |
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comfyanonymous
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ddc6f12ad5
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Disable autocast in unet for increased speed.
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2023-07-05 21:58:29 -04:00 |
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comfyanonymous
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8d694cc450
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Fix issue with OSX.
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2023-07-04 02:09:02 -04:00 |
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comfyanonymous
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dc9d1f31c8
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Improvements for OSX.
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2023-07-03 00:08:30 -04:00 |
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comfyanonymous
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2c4e0b49b7
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Switch to fp16 on some cards when the model is too big.
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2023-07-02 10:00:57 -04:00 |
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comfyanonymous
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6f3d9f52db
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Add a --force-fp16 argument to force fp16 for testing.
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2023-07-01 22:42:35 -04:00 |
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comfyanonymous
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1c1b0e7299
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--gpu-only now keeps the VAE on the device.
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2023-07-01 15:22:40 -04:00 |
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comfyanonymous
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3b6fe51c1d
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Leave text_encoder on the CPU when it can handle it.
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2023-07-01 14:38:51 -04:00 |
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comfyanonymous
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b6a60fa696
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Try to keep text encoders loaded and patched to increase speed.
load_model_gpu() is now used with the text encoder models instead of just
the unet.
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2023-07-01 13:28:07 -04:00 |
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comfyanonymous
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97ee230682
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Make highvram and normalvram shift the text encoders to vram and back.
This is faster on big text encoder models than running it on the CPU.
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2023-07-01 12:37:23 -04:00 |
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comfyanonymous
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62db11683b
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Move unet to device right after loading on highvram mode.
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2023-06-29 20:43:06 -04:00 |
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comfyanonymous
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8248babd44
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Use pytorch attention by default on nvidia when xformers isn't present.
Add a new argument --use-quad-cross-attention
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2023-06-26 13:03:44 -04:00 |
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comfyanonymous
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f7edcfd927
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Add a --gpu-only argument to keep and run everything on the GPU.
Make the CLIP model work on the GPU.
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2023-06-15 15:38:52 -04:00 |
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comfyanonymous
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fed0a4dd29
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Some comments to say what the vram state options mean.
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2023-06-04 17:51:04 -04:00 |
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comfyanonymous
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0a5fefd621
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Cleanups and fixes for model_management.py
Hopefully fix regression on MPS and CPU.
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2023-06-03 11:05:37 -04:00 |
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comfyanonymous
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67892b5ac5
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Refactor and improve model_management code related to free memory.
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2023-06-02 15:21:33 -04:00 |
space-nuko
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499641ebf1
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More accurate total
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2023-06-02 00:14:41 -05:00 |
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space-nuko
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b5dd15c67a
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System stats endpoint
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2023-06-01 23:26:23 -05:00 |
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comfyanonymous
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5c38958e49
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Tweak lowvram model memory so it's closer to what it was before.
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2023-06-01 04:04:35 -04:00 |
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comfyanonymous
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94680732d3
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Empty cache on mps.
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2023-06-01 03:52:51 -04:00 |
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comfyanonymous
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eb448dd8e1
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Auto load model in lowvram if not enough memory.
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2023-05-30 12:36:41 -04:00 |
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comfyanonymous
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3a1f47764d
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Print the torch device that is used on startup.
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2023-05-13 17:11:27 -04:00 |
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comfyanonymous
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6fc4917634
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Make maximum_batch_area take into account python2.0 attention function.
More conservative xformers maximum_batch_area.
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2023-05-06 19:58:54 -04:00 |
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comfyanonymous
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678f933d38
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maximum_batch_area for xformers.
Remove useless code.
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2023-05-06 19:28:46 -04:00 |
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comfyanonymous
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cb1551b819
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Lowvram mode for gligen and fix some lowvram issues.
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2023-05-05 18:11:41 -04:00 |
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comfyanonymous
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6ee11d7bc0
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Fix import.
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2023-05-05 00:19:35 -04:00 |
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comfyanonymous
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bae4fb4a9d
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Fix imports.
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2023-05-04 18:10:29 -04:00 |
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comfyanonymous
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056e5545ff
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Don't try to get vram from xpu or cuda when directml is enabled.
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2023-04-29 00:28:48 -04:00 |
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comfyanonymous
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2ca934f7d4
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You can now select the device index with: --directml id
Like this for example: --directml 1
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2023-04-28 16:51:35 -04:00 |
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comfyanonymous
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3baded9892
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Basic torch_directml support. Use --directml to use it.
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2023-04-28 14:28:57 -04:00 |
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comfyanonymous
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5282f56434
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Implement Linear hypernetworks.
Add a HypernetworkLoader node to use hypernetworks.
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2023-04-23 12:35:25 -04:00 |
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comfyanonymous
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3696d1699a
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Add support for GLIGEN textbox model.
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2023-04-19 11:06:32 -04:00 |
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comfyanonymous
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deb2b93e79
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Move code to empty gpu cache to model_management.py
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2023-04-15 11:19:07 -04:00 |
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comfyanonymous
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1e1875f674
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Print xformers version and warning about 0.0.18
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2023-04-09 01:31:47 -04:00 |
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comfyanonymous
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64557d6781
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Add a --force-fp32 argument to force fp32 for debugging.
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2023-04-07 00:27:54 -04:00 |
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comfyanonymous
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bceccca0e5
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Small refactor.
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2023-04-06 23:53:54 -04:00 |
藍+85CD
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05eeaa2de5
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Merge branch 'master' into ipex
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2023-04-07 09:11:30 +08:00 |
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藍+85CD
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3e2608e12b
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Fix auto lowvram detection on CUDA
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2023-04-06 15:44:05 +08:00 |
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藍+85CD
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7cb924f684
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Use separate variables instead of `vram_state`
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2023-04-06 14:24:47 +08:00 |
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藍+85CD
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84b9c0ac2f
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Import intel_extension_for_pytorch as ipex
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2023-04-06 12:27:22 +08:00 |
EllangoK
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e5e587b1c0
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seperates out arg parser and imports args
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2023-04-05 23:41:23 -04:00 |
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藍+85CD
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37713e3b0a
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Add basic XPU device support
closed #387
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2023-04-05 21:22:14 +08:00 |