pdlan / oscar Goto Github PK

The given dataset link https://1drv.ms/u/s!AjYwgux2zLgMiAhYpoCU3jLu20Z6?e=XR52y9 is not available. It says that "this item might not exist or is no longer available".

I run following commands to build a docker image for the environment:
sudo docker build -t oscar:latest .

There is an error:

What should I do?

Hi i am trying to replicate the clone classification task with the poj104 dataset, however I am having an error when I execute the process shell script inside process-poj-clone-detection folder

The script fails to run 5_json_to_rawtext.py as files inst_dict.txt and state_dict.txt meant to be located in ../data-bin/pretrain are not created .

Hi I'm doing pretrain with given scripts and faced below error while executing ./model/scripts/pretrain.sh.

Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 59, in _wrap
    fn(i, *args)
  File "/oscar/model/train.py", line 309, in distributed_main
    main(args, init_distributed=True)
  File "/oscar/model/train.py", line 51, in main
    model = task.build_model(args)
  File "/oscar/model/fairseq/tasks/ir_masked_lm.py", line 210, in build_model
    model = models.build_model(args, self)
  File "/oscar/model/fairseq/models/__init__.py", line 45, in build_model
    return ARCH_MODEL_REGISTRY[args.arch].build_model(args, task)
  File "/oscar/model/fairseq/models/irbert/model.py", line 86, in build_model
    encoder = IRBertEncoder(args, task.instruction_dictionary, task.state_dictionary)
  File "/oscar/model/fairseq/models/irbert/model.py", line 263, in __init__
    copy_weights(self.sentence_encoder, self.sentence_encoder_momentum)
NameError: name 'copy_weights' is not defined

copy_weights function seems missing in this repository.

Hi!I tried to fix it on a servers without internet.So I modified the dockerfile and solve some probelms but this one too hard for me.Could you help me? Thank You
Current default time zone: 'Etc/UTC'
Local time is now: Sun Nov 20 22:20:26 UTC 2022.
Universal Time is now: Sun Nov 20 22:20:26 UTC 2022.
Run 'dpkg-reconfigure tzdata' if you wish to change it.

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The command '/bin/sh -c apt-get update && apt-get install -y git cmake uuid-runtime lsb-release wget software-properties-common && wget --quiet https://golang.org/dl/go1.16.6.linux-amd64.tar.gz -O ~/go.tar.gz && tar xzf ~/go.tar.gz -C /opt/ && ln -s /opt/go/bin/go /usr/local/bin/go && rm ~/go.tar.gz' returned a non-zero code: 4

Here is the new Dockerfile.
The main modification is at env.

ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
ENV PATH /opt/conda/bin:$PATH

ENV DEBIAN_FRONTEND noninteractive
env http_proxy "http://59.69.106.68:808"
env https_proxy "http://59.69.106.68:808"
env ftp_proxy "http://59.69.106.68:808"
ADD sources.list /etc/apt

RUN apt-get update &&
apt-get install -y git cmake uuid-runtime lsb-release wget software-properties-common &&
wget --quiet https://golang.org/dl/go1.16.6.linux-amd64.tar.gz -O ~/go.tar.gz &&
tar xzf ~/go.tar.gz -C /opt/ &&
ln -s /opt/go/bin/go /usr/local/bin/go &&
rm ~/go.tar.gz

Hello! Do you have plans to upload source code of the baseline models (especially the 'BinaryAI')? Thanks a lot.

Hi! Thanks for open-sourcing your great work.
I'd like to use OSCAR for embedding binary, but I couldn't find the pre-trained BERT model so I was pre-training it by myself with provided scripts.
So, I executed OSCAR/process-pretrain-data/process.sh in the given docker and faced the below error msg.
It seems the irexp_transformer_sentence_encoder file is missing under fairseq/modules directory.
Could you help to resolve this? Thanks!

Traceback (most recent call last):
  File "preprocess.py", line 13, in <module>
    from fairseq import options, tasks, utils
  File "/oscar/model/fairseq/__init__.py", line 9, in <module>
    import fairseq.criterions  # noqa
  File "/oscar/model/fairseq/criterions/__init__.py", line 24, in <module>
    importlib.import_module('fairseq.criterions.' + module)
  File "/opt/conda/lib/python3.8/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/oscar/model/fairseq/criterions/sentence_ranking.py", line 11, in <module>
    from fairseq import utils
  File "/oscar/model/fairseq/utils.py", line 20, in <module>
    from fairseq.modules import gelu, gelu_accurate
  File "/oscar/model/fairseq/modules/__init__.py", line 28, in <module>
    from .irexp_transformer_sentence_encoder import IRTransformerSentenceEncoderNoMiddleLayers
ModuleNotFoundError: No module named 'fairseq.modules.irexp_transformer_sentence_encoder'

Hi,

Thanks for your excellent work. But I encountered an issue when running

./scripts/bindiff.sh

training environment

torch                              1.10.0+cu111
torchaudio                         0.10.0+cu111
torchvision                        0.11.0+cu111
GPU: RTX 2080ti
RAM: 11GB

1. no argument "use_pooling" in @register_criterion('poj_similarity')

@register_criterion('poj_similarity')
class PojSimilarityLoss(FairseqCriterion):

    def __init__(self, args, task):
        super().__init__(args, task)
        self.inst_padding_idx = task.instruction_dictionary.pad()
        self.state_padding_idx = task.state_dictionary.pad()
        self.task = task
        self.args = args

    def forward(self, model, sample, reduce=True, train=True):
        no_state = self.args.no_state
        no_pce = self.args.no_pce
        pooling = self.args.use_pooling
        output = model(**sample['net_input'], masked_tokens=None, features_only=True, moco_head=False,
            moco_head_only_proj=False, lm_head=False, classification_head_name=None,
            has_state=not no_state, has_pce=not no_pce, pooling_instruction=pooling)

after changing this to

#pooling = self.args.use_pooling

pooling = self.args.no_pooling

got another error:
2. multiple values for keyword "has_pce"

  File "/mnt/g/Projects/OSCAR/model/fairseq/models/irbert/model.py", line 92, in forward
    x, extra = self.decoder(src, features_only, return_all_hiddens, moco_head=moco_head, has_state=has_state,
TypeError: IRBertEncoder object got multiple values for keyword argument 'has_pce‘

after removing this keyword, got another error:
3. got multiple values for keyword argument 'pooling_instruction'

  File "/mnt/g/Projects/OSCAR/model/fairseq/models/irbert/model.py", line 92, in forward
    x, extra = self.decoder(src, features_only, return_all_hiddens, moco_head=moco_head, has_state=has_state,
TypeError: IRBertEncoder object got multiple values for keyword argument 'pooling_instruction'

after removing this, got another error too:

        add_(Tensor other, *, Number alpha) (Triggered internally at  ../torch/csrc/utils/python_arg_parser.cpp:1050.)
  exp_avg.mul_(beta1).add_(1 - beta1, grad)
Traceback (most recent call last):
  File "train.py", line 356, in <module>
    cli_main()
  File "train.py", line 321, in cli_main
    main(args)
  File "train.py", line 95, in main
    train(args, trainer, task, epoch_itr)
  File "train.py", line 139, in train
    log_output = trainer.train_step(samples)
  File "/OSCAR/model/fairseq/trainer.py", line 346, in train_step
    raise e
  File "/Projects/OSCAR/model/fairseq/trainer.py", line 309, in train_step
    loss, sample_size, logging_output = self.task.train_step(
  File "/OSCAR/model/fairseq/tasks/fairseq_task.py", line 248, in train_step
    optimizer.backward(loss)
  File "/OSCAR/model/fairseq/optim/fp16_optimizer.py", line 103, in backward
    loss.backward()
  File "/lib/python3.8/site-packages/torch/_tensor.py", line 307, in backward
    torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
  File "/lib/python3.8/site-packages/torch/autograd/__init__.py", line 154, in backward
    Variable._execution_engine.run_backward(
RuntimeError: CUDA error: unknown error
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

I don't know how to fix this. Can you tell me what did I miss? Thanks for your time in advance.

Hi,

I built the dependencies for the docker image that you provided, but when I run make in /oscar/bin, I get:

cd ../irlexer && go build && cp irlexer ../bin
main.go:14:2: cannot find package "github.com/ianlancetaylor/demangle" in any of:
	/usr/lib/go-1.10/src/github.com/ianlancetaylor/demangle (from $GOROOT)
	/root/go/src/github.com/ianlancetaylor/demangle (from $GOPATH)
main.go:15:2: cannot find package "github.com/llir/ll" in any of:
	/usr/lib/go-1.10/src/github.com/llir/ll (from $GOROOT)
	/root/go/src/github.com/llir/ll (from $GOPATH)
Makefile:5: recipe for target 'irlexer' failed
make: *** [irlexer] Error 1

Best,
Jesse

Hi. I was trying to train the models with given scripts and dataset but it took more time than I expected.
So, if you don't mind, could you share your pre-trained models? Probably, I do not have enough GPU to achieve reasonable training time.