l.feng
l.feng
Hi, I just tested the latest release version 3.1.7, and the problem remains unresolved! @rochacbruno Now,I just add some top vars to overwrite my target vars in nested section.Like this:...
@DoverDW 可以转的参考 GLUE 或者 albert_pytorch 仓库
@DoverDW albert_zh生成的好像有两个版本,一个是https://github.com/brightmart/albert_zh/blob/master/modeling.py的, 一个是https://github.com/brightmart/albert_zh/blob/master/modeling_google.py版本. modeling_google版本好像可以直接用huggingface transformers albert转换,我这边项目做一个分类的子任务拿到是这个https://github.com/brightmart/albert_zh/blob/master/modeling.py 生成保存的ckpt模型, 里面对应/workspaces/ai-serving-solution/CLUE/baselines/models_pytorch/classifier_pytorch/convert_albert_original_tf_checkpoint_to_pytorch.py 转换脚本, 还要改一下,增加分类子任务的输出权重绑定到模型属性方式/workspaces/ai-serving-solution/CLUE/baselines/models_pytorch/classifier_pytorch/transformers/modeling_albert.py的函数load_tf_weights_in_albert ```python for name, array in zip(names, arrays): name = name.split("/") # adam_v and adam_m are variables used in AdamWeightDecayOptimizer to...
I verified the staging image`registry.gitlab.com/nvidia/kubernetes/device-plugin/staging/k8s-device-plugin:8b416016` that it is truely working on wsl2. ## Based on dockerd Step 1, install k3s cluster based on dockerd ```bash curl -sfL https://get.k3s.io | sh...
I have submit a pr to vcpkg. https://github.com/microsoft/vcpkg/pull/30005. This is the usage: https://github.com/msclock/vcpkg/blob/bfa07fd074023fe0b4eb835363d280c80256572e/ports/libredwg/usage#L1-L4 All scripts I configured are based on the cmake build system. I came across a configuration item...
> The memmem issue on Apple's 10.6 SDK is already handled by the 2nd case in common.h, just the declaration is missing. There I assume HAVE_MEMMEM is 1, but the...
@rurban Got it. I've noticed that with the current quick iteration, maybe we can create our own registry for quick iterative updates, and then push it to the official VCPKG...
@aminya thanks for your rapid feedback. Excellent work👍
> ### Today, setup-cpp install llvm-14 by default, that is not helpflully! > ```shell > bash-5.2$ clang --version > Homebrew clang version 17.0.6 > Target: x86_64-apple-darwin23.4.0 > Thread model: posix...
> There are no official LLVM binaries for x86 on Apple after LLVM 16. Brew builds LLVM from the source, which I consider impractical for day-to-day usage. > > However,...