[Accelerate model loading] Fix meta device and super low memory usage #1016
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The tests: are currently failing on main. Also this PR renames: Related original PR: #850 @piEsposito does this work for you? |
| @@ -487,71 +483,3 @@ def test_ddpm_ddim_equality_batched(self): | |||
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| # the values aren't exactly equal, but the images look the same visually | |||
| assert np.abs(ddpm_images - ddim_images).max() < 1e-1 | |||
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| @require_torch_gpu | |||
| def test_stable_diffusion_accelerate_load_works(self): | |||
There was a problem hiding this comment.
this test doesn't do anything so let's delete it
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The documentation is not available anymore as the PR was closed or merged. |
patil-suraj
approved these changes
Oct 27, 2022
| @@ -119,14 +119,13 @@ def disable_attention_slicing(self): | |||
| # set slice_size = `None` to disable `attention slicing` | |||
| self.enable_attention_slicing(None) | |||
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| def cuda_with_minimal_gpu_usage(self): | |||
| def enable_sequential_cpu_offload(self): | |||
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| pipeline_id = "CompVis/stable-diffusion-v1-4" | ||
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| start_time = time.time() | ||
| pipeline_normal_load = StableDiffusionPipeline.from_pretrained( | ||
| pipeline_id, revision="fp16", torch_dtype=torch.float16, use_auth_token=True | ||
| ) | ||
| pipeline_normal_load.to(torch_device) | ||
| normal_load_time = time.time() - start_time | ||
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| start_time = time.time() | ||
| _ = StableDiffusionPipeline.from_pretrained( | ||
| pipeline_id, revision="fp16", torch_dtype=torch.float16, use_auth_token=True, device_map="auto" | ||
| ) | ||
| meta_device_load_time = time.time() - start_time | ||
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| assert 2 * meta_device_load_time < normal_load_time |
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@patrickvonplaten great naming choice, I love it! |
yoonseokjin
pushed a commit
to yoonseokjin/diffusers
that referenced
this pull request
Dec 25, 2023
…huggingface#1016) * [Accelerate model loading] Fix meta device and super low memory usage * better naming
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The tests:
are currently failing on main.
Also this PR renames:
cuda_with_minimal_gpu_usagetoenable_sequential_cpu_offloadas it's a more fitting name and disentangledenable_attention_slicingfromcpu_offloadRelated original PR: #850
@piEsposito does this work for you?