Spaces:
Running
on
Zero
Running
on
Zero
Cleanup
Browse files- optimization.py +8 -5
- requirements.txt +0 -2
optimization.py
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@@ -16,6 +16,13 @@ from zerogpu import aoti_compile
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P = ParamSpec('P')
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INDUCTOR_CONFIGS = {
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'conv_1x1_as_mm': True,
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'epilogue_fusion': False,
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@@ -34,12 +41,8 @@ def optimize_pipeline_(pipeline: Callable[P, Any], *args: P.args, **kwargs: P.kw
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with capture_component_call(pipeline, 'transformer') as call:
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pipeline(*args, **kwargs)
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hidden_dim = torch.export.Dim('hidden', min=4096, max=8212)
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dynamic_shapes = tree_map_only((torch.Tensor, bool), lambda t: None, call.kwargs)
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dynamic_shapes |=
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'hidden_states': {1: hidden_dim},
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'img_ids': {0: hidden_dim},
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}
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pipeline.transformer.fuse_qkv_projections()
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P = ParamSpec('P')
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TRANSFORMER_HIDDEN_DIM = torch.export.Dim('hidden', min=4096, max=8212)
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TRANSFORMER_DYNAMIC_SHAPES = {
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'hidden_states': {1: TRANSFORMER_HIDDEN_DIM},
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'img_ids': {0: TRANSFORMER_HIDDEN_DIM},
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}
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INDUCTOR_CONFIGS = {
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'conv_1x1_as_mm': True,
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'epilogue_fusion': False,
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with capture_component_call(pipeline, 'transformer') as call:
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pipeline(*args, **kwargs)
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dynamic_shapes = tree_map_only((torch.Tensor, bool), lambda t: None, call.kwargs)
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dynamic_shapes |= TRANSFORMER_DYNAMIC_SHAPES
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pipeline.transformer.fuse_qkv_projections()
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requirements.txt
CHANGED
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@@ -3,5 +3,3 @@ git+https://github.com/huggingface/diffusers.git
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accelerate
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safetensors
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sentencepiece
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torchao
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accelerate
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safetensors
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sentencepiece
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