在使用torch_dtype参数时,可以传入的值包括以下几种常见的数据类型: 1. torch.float32或者torch.float,32位浮点型数据类型。 2. torch.float64或者torch.double,64位浮点型数据类型。 3. torch.float16或者torch.half,16位半精度浮点型数据类型。 4. torch.int8,8位有符号整型数据类型。 5. torch.uint8,8位...
Describe the bug I'm using the following code: !pip install diffusers !pip install transformers scipy ftfy pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_au...
실제 gpu의 로딩 시점에 볼때 torch_dtype=torch.float16 구성과 관계없이 fp32로 로딩이 이루어지고 있고 그로인하여 많은 gpu 메모리를 할당합니다. 아래와 같은 간단한 스크립트를 통...
torch 写模型遇到 RuntimeError: Found dtype Double but expected Float,torch写模型遇到RuntimeError:FounddtypeDoublebutexpectedFloat
而torch.tensor() # also has arguments like dtype, requires_grad综上,torch.Tensor()无dtype等数据属性,默认返回的dtype就是torch.float32,建议使用torch.tensor(),囊括torch.Tensor()的功能,使用更灵活且方便。reference:链接 发布于 2021-11-08 10:38 赞同1 分享收藏 ...
🐛 Describe the bug Hi there, I ran the following code on CPU or GPU, and observed that torch.tensor([0.01], dtype=torch.float16) * torch.tensor(65536, dtype=torch.float32) returns INF. The second scalar operand (torch.tensor(65536, dtype...
I think gpt2 is trained using fp32 but I can load it in bfloat16 and train it (or at least get a gradient with bf16). Thus I wonder if I misunderstood something. I have another project running to train LLaMA using bfloat16 (essentially usingrun_clm.pyfrom the official repo with--...
yanbing-jchanged the titleAssertionError: tensor(2.3359, dtype=torch.float16) not greater than 40 : _int8wo_api failed when compiled with dtype=torch.float16, (m, k, n)=(32, 64, 32)Sep 12, 2024 This was referencedSep 13, 2024 ...
Pipelines loaded with torch_dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of ...
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of suppor...