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https://github.com/Stability-AI/stablediffusion.git
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ca92a1406b
This tries to execute interpolate with FP32 if it failed. Background is that on some environment such as Mx chip MacOS devices, we get error as follows: ``` " File "ldm/modules/diffusionmodules/openaimodel.py", line 115, in forward x = F.interpolate(x, scale_factor=2, mode="nearest") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "torch/nn/functional.py", line 3931, in interpolate return torch._C._nn.upsample_nearest2d(input, output_size, scale_factors) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: "upsample_nearest2d_channels_last" not implemented for 'Half' ``` Therefore this commit adds the FP32 fallback execution to solve it. |
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models | ||
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util.py |