torch_dtype=torch.bfloat16).to(device)optimizer=torch.optim.Adam(model.parameters(),lr=5e-5)input_ids=tokenizer.encode(input,return_tensors="pt").to(device)output=model(input_ids,labels=input_ids)output.loss.backward
Tensors and Dynamic neural networks in Python with strong GPU acceleration - torch.compile and torch.set_default_dtype bfloat16 wrong datatype. · pytorch/pytorch@19665f4
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...
assert all((i.dtype in [torch.float16, torch.bfloat16] for i in (q, k, v))) AssertionError“。 按照此文操作可重现:https://mp.weixin.qq.com/s/5OAx83j6Op299XAfa496ww 参考:https://github.com/yangjianxin1/Firefly wangschang commented Sep 9, 2023 模型目录中 config.json文件 的 us...
fix NCCL_BFLOAT16 typo in TORCH_NCCL_DTYPE_MAP Checks I've signed off every commit(by using the -s flag, i.e.,git commit -s) in this PR. I've runscripts/format.shto lint the changes in this PR. I've included any doc changes needed forhttps://docs.ray.io/en/master/. ...
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...
torch.dtype = torch.float32) -> Tuple[torch.Tensor, torch.Tensor]:+def apply_rotary_emb(xq: torch.Tensor, xk: torch.Tensor, freqs_cis: torch.Tensor, dtype: torch.dtype = torch.bfloat16) -> Tuple[torch.Tensor, torch.Tensor]:reshape_xq = xq.float().reshape(*xq.shape[:-1], -1,...
This PR fixes #1349 RuntimeError: Index put requires the source and destination dtypes match, got BFloat16 for the destination and Float for the source Repro: See #1349 for repro Cmd: $tune run gen...
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 ...
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 ...