Spaces:
Running
on
A10G
Running
on
A10G
fix
Browse files
app.py
CHANGED
@@ -110,13 +110,11 @@ def load_pipeline(
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# Optionally set memory layout.
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if use_channels_last:
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print("Setting memory layout.")
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-
if pipeline_to_benchmark
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pipeline.unet.to(memory_format=torch.channels_last)
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elif pipeline_to_benchmark == "Würstchen (T2I)":
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pipeline.prior_prior.to(memory_format=torch.channels_last)
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pipeline.decoder.to(memory_format=torch.channels_last)
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-
elif pipeline_to_benchmark == "Kandinsky 2.2 (T2I)":
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pipeline.unet.to(memory_format=torch.channels_last)
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if hasattr(pipeline, "controlnet"):
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pipeline.controlnet.to(memory_format=torch.channels_last)
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@@ -126,7 +124,7 @@ def load_pipeline(
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# Optional torch compilation.
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if do_torch_compile:
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print("Compiling pipeline.")
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-
if pipeline_to_benchmark
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pipeline.unet = torch.compile(
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pipeline.unet, mode="reduce-overhead", fullgraph=True
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)
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@@ -137,10 +135,6 @@ def load_pipeline(
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pipeline.decoder = torch.compile(
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pipeline.decoder, mode="reduce-overhead", fullgraph=True
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)
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-
elif pipeline_to_benchmark == "Kandinsky 2.2 (T2I)":
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pipeline.unet = torch.compile(
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pipeline.unet, mode="reduce-overhead", fullgraph=True
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)
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if hasattr(pipeline, "controlnet"):
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pipeline.controlnet = torch.compile(
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# Optionally set memory layout.
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if use_channels_last:
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print("Setting memory layout.")
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+
if pipeline_to_benchmark != "Würstchen (T2I)":
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pipeline.unet.to(memory_format=torch.channels_last)
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elif pipeline_to_benchmark == "Würstchen (T2I)":
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pipeline.prior_prior.to(memory_format=torch.channels_last)
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pipeline.decoder.to(memory_format=torch.channels_last)
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if hasattr(pipeline, "controlnet"):
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pipeline.controlnet.to(memory_format=torch.channels_last)
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# Optional torch compilation.
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if do_torch_compile:
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print("Compiling pipeline.")
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+
if pipeline_to_benchmark != "Würstchen (T2I)":
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pipeline.unet = torch.compile(
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pipeline.unet, mode="reduce-overhead", fullgraph=True
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)
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pipeline.decoder = torch.compile(
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pipeline.decoder, mode="reduce-overhead", fullgraph=True
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)
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if hasattr(pipeline, "controlnet"):
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pipeline.controlnet = torch.compile(
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