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About generation #7

@HoshinaKaori

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@HoshinaKaori

Traceback (most recent call last):
File "E:\Conda Environment\AiDrawing\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "E:\Conda Environment\AiDrawing\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "E:\Model Folder\MotionCLR\scripts\generate.py", line 101, in
pred_motions, _ = pipeline.generate(
File "E:\Model Folder\MotionCLR\models\gaussian_diffusion.py", line 113, in generate
output = self.generate_batch(batch_caption, batch_m_lens)
File "E:\Model Folder\MotionCLR\models\gaussian_diffusion.py", line 75, in generate_batch
enc_text = self.model.encode_text(caption, self.device)
File "E:\Model Folder\MotionCLR\models\unet.py", line 851, in encode_text
x = self.clip_model.transformer(x)
File "E:\Conda Environment\AiDrawing\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "E:\Conda Environment\AiDrawing\lib\site-packages\clip\model.py", line 203, in forward
return self.resblocks(x)
File "E:\Conda Environment\AiDrawing\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "E:\Conda Environment\AiDrawing\lib\site-packages\torch\nn\modules\container.py", line 139, in forward
input = module(input)
File "E:\Conda Environment\AiDrawing\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "E:\Conda Environment\AiDrawing\lib\site-packages\clip\model.py", line 190, in forward
x = x + self.attention(self.ln_1(x))
File "E:\Conda Environment\AiDrawing\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "E:\Conda Environment\AiDrawing\lib\site-packages\clip\model.py", line 162, in forward
ret = super().forward(x.type(torch.float32))
File "E:\Conda Environment\AiDrawing\lib\site-packages\torch\nn\modules\normalization.py", line 189, in forward
return F.layer_norm(
File "E:\Conda Environment\AiDrawing\lib\site-packages\torch\nn\functional.py", line 2503, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: expected scalar type Float but found Half

I met such problem
How can I solve it

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