Yingqiang Ge

race | sex | LSAT | UGPA | region_first | ZFYA | sander_index | first_pf Specially, UGPA, ZFYA, sander_index, first_pf. Thx~

tf.summary.FileWriter is not compatible with eager execution. Use tf.contrib.summary instead. In call to configurable 'TrainRunner' (<class 'recsim.simulator.runner_lib.TrainRunner'>)

2

https://stackoverflow.com/questions/50257614/tensorflow-eager-and-tensorboard-graphs This link seems to point out the problem. Right now, I disable tensorflow eager execution by tf.compat.v1.disable_eager_execution().

“from recsim.agents import full_slate_q_agent” gets new problem

3

I had maybe a new error on Linux... Tensorflow Attribute Error: module 'tensorflow_core._api.v2.train' has no attribute 'RMSProp Optimizer' https://github.com/google/dopamine/issues/121 This link relates to this error, unfortunately, no one answers... _Originally...

Action Not Executed After Attempting to Replace with Vicuna

1

I am currently in the process of replacing GPT with Vicuna in my project. While Vicuna is able to successfully generate the required action and action input, I am encountering...

Out of Memory error after updating to the latest branch

1

the instruction code for mpt-7b works fine when using older version 20240123, but when updating to the latest branch, using the new code, always have OOM error with multiple gpus,...

"peer access is not supported between these two devices" when using multiple GPUs

8

setting: aws g5.48xlarge This code worked fine when using single gpu, and failed when trying to use more. I also increase the --shm-size to 20G, not working. Can this problem...

MPT not supported by current source code?

7

Having problems when using MPT. Setting: AWS g5.48xlarge, CUDA 12.1.0, Ubuntu 22.04, python 3.10, pytorch 2.1.2. ``` root@7f51eddb66f5:/TensorRT-LLM/examples/mpt# trtllm-build --checkpoint_dir=./ft_ckpts/mpt-7b/fp16 \ --max_batch_size 32 \ --max_input_len 1024 \ --max_output_len 512 \...

MPT-7B: 'NoneType' object has no attribute 'bool'

7

Ran the following code to quantize MPT-7B, met the following error. from awq import AutoAWQForCausalLM from transformers import AutoTokenizer model_path = "mosaicml/mpt-7b" quant_path = './mpt_7b_awq' # Load model model =...