Security alert with TF 2.7. Moved to 2.8.4 #2017

miguelgfierro · 2023-10-12T18:33:00Z

Description

There was a security alert with TF: GHSA-xxcj-rhqg-m46g

Related Issues

References

Checklist:

I have followed the contribution guidelines and code style for this project.
I have added tests covering my contributions.
I have updated the documentation accordingly.
This PR is being made to staging branch and not to main branch.

Signed-off-by: miguelgfierro <[email protected]>

miguelgfierro · 2023-10-13T05:55:44Z

=========================== short test summary info ============================
FAILED tests/unit/recommenders/models/test_deeprec_model.py::test_xdeepfm_component_definition
FAILED tests/unit/recommenders/models/test_deeprec_model.py::test_slirec_component_definition
FAILED tests/unit/recommenders/models/test_deeprec_model.py::test_sum_component_definition
============= 3 failed, 12 passed, 7 warnings in 153.99s (0:02:33) =============

=================================== FAILURES ===================================
______________________ test_xdeepfm_component_definition _______________________

deeprec_resource_path = PosixPath('/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/tests/resources/deeprec')

    @pytest.mark.gpu
    def test_xdeepfm_component_definition(deeprec_resource_path):
        data_path = os.path.join(deeprec_resource_path, "xdeepfm")
        yaml_file = os.path.join(data_path, "xDeepFM.yaml")
    
        if not os.path.exists(yaml_file):
            download_deeprec_resources(
                "https://recodatasets.z20.web.core.windows.net/deeprec/",
                data_path,
                "xdeepfmresources.zip",
            )
    
        hparams = prepare_hparams(yaml_file)
>       model = XDeepFMModel(hparams, FFMTextIterator)
E       NameError: name 'XDeepFMModel' is not defined

tests/unit/recommenders/models/test_deeprec_model.py:131: NameError
----------------------------- Captured stdout call -----------------------------
INFO:recommenders.datasets.download_utils:Downloading https://recodatasets.z20.web.core.windows.net/deeprec/xdeepfmresources.zip
----------------------------- Captured stderr call -----------------------------

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------------------------------ Captured log call -------------------------------
INFO     recommenders.datasets.download_utils:download_utils.py:38 Downloading https://recodatasets.z20.web.core.windows.net/deeprec/xdeepfmresources.zip
_______________________ test_slirec_component_definition _______________________

sequential_files = ('/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/tests/resources/deeprec/slirec', '/mnt/azureml/cr/j/e49a1d...ab.pkl', '/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/tests/resources/deeprec/slirec/category_vocab.pkl')
deeprec_config_path = PosixPath('/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/recommenders/models/deeprec/config')

    @pytest.mark.gpu
    def test_slirec_component_definition(sequential_files, deeprec_config_path):
        yaml_file = os.path.join(deeprec_config_path, "sli_rec.yaml")
        data_path, user_vocab, item_vocab, cate_vocab = sequential_files
    
        hparams = prepare_hparams(
            yaml_file,
            train_num_ngs=4,
            embed_l2=0.0,
            layer_l2=0.0,
            learning_rate=0.001,
            epochs=1,
            MODEL_DIR=os.path.join(data_path, "model"),
            SUMMARIES_DIR=os.path.join(data_path, "summary"),
            user_vocab=user_vocab,
            item_vocab=item_vocab,
            cate_vocab=cate_vocab,
            need_sample=True,
        )
    
>       model = SLI_RECModel(hparams, SequentialIterator)

tests/unit/recommenders/models/test_deeprec_model.py:248: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
recommenders/models/deeprec/models/sequential/sequential_base_model.py:51: in __init__
    super().__init__(hparams, iterator_creator, graph=self.graph, seed=seed)
recommenders/models/deeprec/models/base_model.py:56: in __init__
    self.logit = self._build_graph()
recommenders/models/deeprec/models/sequential/sequential_base_model.py:71: in _build_graph
    model_output = self._build_seq_graph()
recommenders/models/deeprec/models/sequential/sli_rec.py:61: in _build_seq_graph
    rnn_outputs, _ = dynamic_rnn(
/azureml-envs/azureml_c4eff4a5e459820972fa4e3ca572161c/lib/python3.9/site-packages/tensorflow/python/util/deprecation.py:383: in new_func
    return func(*args, **kwargs)
/azureml-envs/azureml_c4eff4a5e459820972fa4e3ca572161c/lib/python3.9/site-packages/tensorflow/python/util/traceback_utils.py:153: in error_handler
    raise e.with_traceback(filtered_tb) from None
/tmp/__autograph_generated_filekos1if_z.py:110: in tf__call
    ag__.if_stmt(ag__.ld(self)._linear1 is None, if_body_4, else_body_4, get_state_4, set_state_4, ('self._linear1',), 1)
/tmp/__autograph_generated_filekos1if_z.py:106: in if_body_4
    ag__.ld(self)._linear1 = ag__.converted_call(ag__.ld(_Linear), ([ag__.ld(inputs), ag__.ld(m_prev)], 4 * ag__.ld(self)._num_units, True), None, fscope)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <recommenders.models.deeprec.models.sequential.rnn_cell_implement._Linear object at 0x146050352070>
args = [<tf.Tensor 'time4lstm/time4lstm_cell/strided_slice_2:0' shape=(None, 32) dtype=float32>, <tf.Tensor 'Placeholder_3:0' shape=(None, 40) dtype=float32>]
output_size = 160, build_bias = True, bias_initializer = None
kernel_initializer = None

    def __init__(
        self,
        args,
        output_size,
        build_bias,
        bias_initializer=None,
        kernel_initializer=None,
    ):
        self._build_bias = build_bias
    
>       if args is None or (nest.is_sequence(args) and not args):
E       AttributeError: in user code:
E       
E           File "/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/recommenders/models/deeprec/models/sequential/rnn_cell_implement.py", line 227, in call  *
E               self._linear1 = _Linear([inputs, m_prev], 4 * self._num_units, True)
E           File "/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/recommenders/models/deeprec/models/sequential/rnn_cell_implement.py", line 584, in __init__  **
E               if args is None or (nest.is_sequence(args) and not args):
E       
E           AttributeError: module 'tensorflow.python.util.nest' has no attribute 'is_sequence'

recommenders/models/deeprec/models/sequential/rnn_cell_implement.py:584: AttributeError
---------------------------- Captured stdout setup -----------------------------
INFO:recommenders.datasets.download_utils:Downloading http://snap.stanford.edu/data/amazon/productGraph/categoryFiles/reviews_Movies_and_TV_5.json.gz
INFO:recommenders.datasets.download_utils:Downloading http://snap.stanford.edu/data/amazon/productGraph/categoryFiles/meta_Movies_and_TV.json.gz
INFO:root:start reviews preprocessing...
INFO:root:start meta preprocessing...
INFO:root:start create instances...
INFO:root:creating item2cate dict
INFO:root:getting sampled data...
INFO:root:start data processing...
INFO:root:data generating...
INFO:root:vocab generating...
INFO:root:start valid negative sampling
INFO:root:start test negative sampling
---------------------------- Captured stderr setup -----------------------------

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------------------------------ Captured log setup ------------------------------
INFO     recommenders.datasets.download_utils:download_utils.py:38 Downloading http://snap.stanford.edu/data/amazon/productGraph/categoryFiles/reviews_Movies_and_TV_5.json.gz
INFO     recommenders.datasets.download_utils:download_utils.py:38 Downloading http://snap.stanford.edu/data/amazon/productGraph/categoryFiles/meta_Movies_and_TV.json.gz
INFO     root:amazon_reviews.py:399 start reviews preprocessing...
INFO     root:amazon_reviews.py:386 start meta preprocessing...
INFO     root:amazon_reviews.py:419 start create instances...
INFO     root:amazon_reviews.py:356 creating item2cate dict
INFO     root:amazon_reviews.py:367 getting sampled data...
INFO     root:amazon_reviews.py:460 start data processing...
INFO     root:amazon_reviews.py:202 data generating...
INFO     root:amazon_reviews.py:79 vocab generating...
INFO     root:amazon_reviews.py:148 start valid negative sampling
INFO     root:amazon_reviews.py:170 start test negative sampling
----------------------------- Captured stdout call -----------------------------
WARNING:tensorflow:From /mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/recommenders/models/deeprec/models/sequential/sli_rec.py:61: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.
Instructions for updating:
Please use `keras.layers.RNN(cell)`, which is equivalent to this API
------------------------------ Captured log call -------------------------------
WARNING  tensorflow:deprecation.py:50 From /mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/recommenders/models/deeprec/models/sequential/sli_rec.py:61: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.
Instructions for updating:
Please use `keras.layers.RNN(cell)`, which is equivalent to this API
________________________ test_sum_component_definition _________________________

sequential_files = ('/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/tests/resources/deeprec/slirec', '/mnt/azureml/cr/j/e49a1d...ab.pkl', '/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/tests/resources/deeprec/slirec/category_vocab.pkl')
deeprec_config_path = PosixPath('/mnt/azureml/cr/j/e49a1dc1154c4ee3b42372de2b064c9c/exe/wd/recommenders/models/deeprec/config')

    @pytest.mark.gpu
    def test_sum_component_definition(sequential_files, deeprec_config_path):
        yaml_file_sum = os.path.join(deeprec_config_path, "sum.yaml")
        data_path, user_vocab, item_vocab, cate_vocab = sequential_files
    
        # SUM model
        hparams_sum = prepare_hparams(
            yaml_file_sum,
            train_num_ngs=4,
            embed_l2=0.0,
            layer_l2=0.0,
            learning_rate=0.001,
            epochs=1,
            MODEL_DIR=os.path.join(data_path, "model"),
            SUMMARIES_DIR=os.path.join(data_path, "summary"),
            user_vocab=user_vocab,
            item_vocab=item_vocab,
            cate_vocab=cate_vocab,
            need_sample=True,
        )
    
>       model_sum = SUMModel(hparams_sum, SequentialIterator)
E       NameError: name 'SUMModel' is not defined

tests/unit/recommenders/models/test_deeprec_model.py:324: NameError

miguelgfierro · 2023-10-13T06:49:00Z

could it be because of this?
WARNING:tensorflow:From /home/u/anaconda/envs/reco_gpu/lib/python3.8/site-packages/tensorflow/python/compat/v2_compat.py:111: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term

miguelgfierro · 2023-10-13T06:56:20Z

I created this issue #2018

I´m going to skip the affected test

Signed-off-by: miguelgfierro <[email protected]>

…2.10.1 Signed-off-by: miguelgfierro <[email protected]>

Signed-off-by: miguelgfierro <[email protected]>

…2.10.1 Signed-off-by: miguelgfierro <[email protected]>

anargyri · 2023-10-13T09:38:29Z

Do we also get the error in TF 2.8.4? (which has the patch)

miguelgfierro · 2023-10-13T10:57:17Z

Do we also get the error in TF 2.8.4? (which has the patch)

It works, but pinning to this TF version won´t solve the problem because the future ones will break.

The nightly builds pass as well with the latest changes https://github.com/recommenders-team/recommenders/actions/runs/6506276074

Signed-off-by: miguelgfierro <[email protected]>

miguelgfierro · 2023-10-13T14:38:56Z

nightly passes: https://github.com/recommenders-team/recommenders/actions/runs/6507898617

merging

Issue with TF

93ed1c0

Signed-off-by: miguelgfierro <[email protected]>

miguelgfierro requested review from gramhagen, anargyri, loomlike, wutaomsft and SimonYansenZhao as code owners October 12, 2023 18:33

miguelgfierro changed the title ~~Issue with TF~~ Security alert with TF 2.7. Moved to 2.10.1 Oct 12, 2023

miguelgfierro mentioned this pull request Oct 13, 2023

[BUG] Upgrade to Tensorflow>2.10.1 breaks several of the DeepRec algos #2018

Closed

miguelgfierro added 2 commits October 13, 2023 09:00

Comment out the PR gate affected tests with the upgrade to TF>2.10.1

09aa906

Signed-off-by: miguelgfierro <[email protected]>

Comment out the nightly builds affected tests with the upgrade to TF>…

c4fa5ca

…2.10.1 Signed-off-by: miguelgfierro <[email protected]>

miguelgfierro mentioned this pull request Oct 13, 2023

Refactor ranking metric map to be the same as Spark's #2004

Merged

4 tasks

miguelgfierro added 2 commits October 13, 2023 10:11

🐛

ec64bc2

Signed-off-by: miguelgfierro <[email protected]>

Comment out the nightly builds affected tests with the upgrade to TF>…

2a0549c

…2.10.1 Signed-off-by: miguelgfierro <[email protected]>

miguelgfierro added 3 commits October 13, 2023 13:50

revert the breaking tests with TF 2.10.1

c78d88c

Signed-off-by: miguelgfierro <[email protected]>

temporary pin to TF=2.8.4

bb91adf

Signed-off-by: miguelgfierro <[email protected]>

Update security tests

1ce8275

Signed-off-by: miguelgfierro <[email protected]>

miguelgfierro changed the title ~~Security alert with TF 2.7. Moved to 2.10.1~~ Security alert with TF 2.7. Moved to 2.8.4 Oct 13, 2023

anargyri approved these changes Oct 13, 2023

View reviewed changes

miguelgfierro merged commit 2c6b258 into staging Oct 13, 2023
35 checks passed

miguelgfierro deleted the tf_error branch October 13, 2023 14:39

miguelgfierro mentioned this pull request Mar 19, 2024

[ASK] Stopped the support of new Tensorflow versions >= 2.16 #2073

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Security alert with TF 2.7. Moved to 2.8.4 #2017

Security alert with TF 2.7. Moved to 2.8.4 #2017

miguelgfierro commented Oct 12, 2023 •

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miguelgfierro commented Oct 13, 2023

Security alert with TF 2.7. Moved to 2.8.4 #2017

Security alert with TF 2.7. Moved to 2.8.4 #2017

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miguelgfierro commented Oct 12, 2023 • edited Loading

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