Identifying backend compatibility versions
We are currently working on identifying the backend versions with which we are compatible and with which we want to be compatible. These backends are PyTorch and TensorFlow. We will be considering Flax at a later point in time.

The first step was to identify the number of failures in each PyTorch/TensorFlow version and was done in https://github.com/huggingface/transformers/issues/18181.

Total number of tests: 38,991.

|     Framework | No. Failures | Release date | Older than 2 years |
| :--------------- | ---------- |  ---------- |  ---------- |
|  PyTorch 1.10 |           50 | Mar 10 2021 | No |
|  PyTorch  1.9 |          710 | Jun 15 2021 | No |
|  PyTorch  1.8 |         1301 | Mar 4 2021 | No |
|  PyTorch  1.7 |         1567 | Oct 27 2020 | No |
|  PyTorch  1.6 |         2342 | Jul 28 2020 | Yes |
|  PyTorch  1.5 |         3315 | Apr 21 2020 | Yes |
|  PyTorch  1.4 |         3949 | Jan 16 2020 | Yes |
| TensorFlow 2.8 |          118 | Feb 2 2022 | No |
| TensorFlow 2.7 |          122 | Nov 4 2021 | No |
| TensorFlow 2.6 |          122 | Aug 11 2021 | No |
| TensorFlow 2.5 |          128 | May 13 2021 | No |
| TensorFlow 2.4 |          167 | Dec 14 2020 | No |

We're proposing to drop versions older than 2 years old and to work towards providing support (support = 0 tests failing) for versions we aim to support. We will drop support for older versions once we reach their two-year-old date. 

Here is the proposed plan moving forward:
- [ ] Have a detailed breakdown of failures for the following versions: 
    - [ ] Torch 1.7
    - [ ] Torch 1.8
    - [ ] Torch 1.9
    - [ ] Torch 1.10
    - [ ] Torch 1.11
    - [ ] Torch 1.12
    - [ ] TensorFlow 2.4
    - [ ] TensorFlow 2.5
    - [ ] TensorFlow 2.6
    - [ ] TensorFlow 2.7
    - [ ] TensorFlow 2.8
    - [ ] TensorFlow 2.9
- [ ] Start with an initial compatibility document to mention which models are supported in which versions
- [ ] Open good first issues to improve compatibility for models not compatible with all versions, starting from the latest one and moving back in time.
- [ ] As versions become supported, run tests on older versions to ensure no regression.

Work by @ydshieh and @LysandreJik 

----------

### Some context and tips when working on Past CI

1. The Past CI runs against a specific commit/tag:
    - **Motivation**: To be able to run the test against the **same** commit to see if a set of fixes improves the overall backward compatibility without new issues introduced.
    - The chosen commit could be changed (to more recent ones) along the time, but it should never be `main`.
    - When working on the fix for Past CI , keeping in mind that we should **check the source code in the commit that is chosen for that particular Past CI run**. The commit given at the beginning of each report provided in the following comments.
2. For each report, there is an attached `errors.txt` where you can find more information to ease the fix process:
    -  The file contains a list whose elements have the following content:
        - The line where an error occurs
        - The error message
        - The complete name of the failed test
        - The link to the job that ran that failed test
    - The errors in the reports sometimes don't contain enough information to make the decision/action. You can use the corresponding links provided in `errors.txt` to see the full trackback on the job run pages.
3. One (possible) fix process would be like:
    - For a framework and a particular version, go to the corresponding reporting table provided in the following comments.
    - Make sure you have a preferred way to navigate the source code in a specific commit.
    - Download/Open the corresponding `errors.txt`.
    - From the `General` table, take a row whose `status` is empty. Ideally, take the ones with higher value in `no.` column.
    - Search in `errors.txt` for the `error` in the picked row. You get information about the failed line, failed test, and the job link.
    - Navigate to the failed line or failed test in your workspace (or in a browser) that checks out to the specific commit for the run.
    - Use the job link to go to the job run page if you need more information about the error.
    - Then you might come up with a solution :-), or decide a fix is not necessary with good reasons.
    - Update the `status` column with a comment once a fix or a decision is made.
4. Some guides/hints for the fix:
    - 🔥 To install a specific framework version, `utils/past_ci_versions.py` can help!
    - ⚠️ As the tests are run against a chosen commit, which may not contain some fixes in the `main` branch. (This is particular confusing if you try to run the failed test without checking out to that commit.).
        - If the test passes when you run a failed test (in the report) against the `main` branch, with the target framework version, it's very likely a fix exists on `main` that applies to the target framework version too.
        - In this case,
            - either update `status` with `fixed in #XXXXX` (if you know clearly that PR fixes that error)
            - or `works for commits since **b487096**` - a commit sha (It's not always trivial to find out which PR fixed a particular error - especially when working with Past CI) 
    - We decide to focus on the PyTorch and TensorFlow version, and not to consider other 3rd libraries.  Therefore, some packages are not installed, like `kenlm` or `detectorn2`. We could just simply update the `status` column with `XXX not installed`.
    - When an error is coming from a C/C++ exception, and the same code and inputs work for new framework versions, we could skip that failed test with a `@unittest.skipIf`, and update the status like `torch._C issue -> works wth PT >= 11 Fixed in #19122`.
        - PR [#19122](https://github.com/huggingface/transformers/pull/19122) is one such example.
    - If an error occurs in several framework versions, say, PT 11 and PT 10, and a status is updated for the newer version (here PT 11), we can simply put `see PT 11` in the report `status` column for older versions.
    - Some old framework versions lack attributes or arguments introduced in newer versions. See [#19201](https://github.com/huggingface/transformers/pull/19201)  and [#19203](https://github.com/huggingface/transformers/pull/19203) for how a fix would look like in such cases. If a similar warning (to the one in [#19203](https://github.com/huggingface/transformers/pull/19203)) already exists, we could update `status` with, for example, `Vilt needs PT >= 1.10`.
        - Adding such warning is not a fix in a strict sense, but at least it provides some information. Together with the updated `status`, we keep information tracked.

### **Past CI - PyTorch 1.11 (Patch release: v4.21.2 | b487096b0)**

#### General
| no. | error | status |
|-:|:-|:-|
| 32 | NameError: name 'kenlm' is not defined | not installed |
| 12 | RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0  | fixed in #18303 |
| 6 | OSError: gs555750 is not a valid git identifier (branch name, tag name or commit id) that exists for | fixed in #18531 |
| 6 | NameError: name 'GPT2Tokenizer' is not defined | fixed in #19010 |
| 6 | TypeError: forward() missing 1 required positional argument: 'attention_mask' | fixed in #18303 |
| 3 | ImportError: | `detectron2` and `accelerate` not installed |
| 2 | AssertionError: torch.Size([1, 2]) != torch.Size([1, 32]) | fixed in #18303 |
| 1 | RuntimeError: Caught RuntimeError in replica 0 on device 0. | fixed in #18303 |


#### Per model
| model | no. of errors | major error | count |
|-:|-:|-:|-:|
| wav2vec2_with_lm | 30 | NameError: name 'kenlm' is not defined | 30 |
| owlvit | 21 | RuntimeError: Expected all tensors to be on the same device, | 12 |
| opt | 6 | NameError: name 'GPT2Tokenizer' is not defined | 6 |
| bloom | 6 | OSError: gs555750 is not a valid git identifier (branch name | 6 |
| wav2vec2 | 2 | NameError: name 'kenlm' is not defined | 2 |
| layoutlmv2 | 2 | ImportError: | 2 |<|||||>### **Past CI - PyTorch 1.10 (Patch release: v4.21.2 | b487096b0)**

#### General
| no. | error | status |
|-:|:-|:-|
| 32 | NameError: name 'kenlm' is not defined | see PT 11 |
| 12 | RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0  | see PT 11 |
| 6 | OSError: gs555750 is not a valid git identifier (branch name, tag name or commit id) that exists for | see PT 11 |
| 6 | NameError: name 'GPT2Tokenizer' is not defined | see PT 11 |
| 6 | TypeError: forward() missing 1 required positional argument: 'attention_mask' | see PT 11 |
| 4 | RuntimeError: Index is supposed to be an empty tensor or a vector | `torch._C` issue -> works wth PT >= 11 Fixed in #19122 |
| 3 | ImportError: | see PT 11 |
| 2 | AssertionError: 1.9311904907226562e-05 != 1.9431114196777344e-05 | `self.assertEqual` is too strict. Fixed in #19200
| 2 | AssertionError: torch.Size([1, 2]) != torch.Size([1, 32]) | see PT 11 |
| 1 | RuntimeError: Caught RuntimeError in replica 0 on device 0. | see PT 11 |



#### Per model
| model | no. of errors | major error | count |
|-:|-:|-:|-:|
| wav2vec2_with_lm | 30 | NameError: name 'kenlm' is not defined | 30 |
| owlvit | 21 | RuntimeError: Expected all tensors to be on the same device, | 12 |
| bloom | 8 | OSError: gs555750 is not a valid git identifier (branch name | 6 |
| opt | 6 | NameError: name 'GPT2Tokenizer' is not defined | 6 |
| longt5 | 4 | RuntimeError: Index is supposed to be an empty tensor or a v | 4 |
| wav2vec2 | 2 | NameError: name 'kenlm' is not defined | 2 |
| layoutlmv2 | 2 | ImportError: | 2 |<|||||>### **Past CI - PyTorch 1.9 (Patch release: v4.21.2 | b487096b0)**

[errors-pt-1-9.txt](https://github.com/huggingface/transformers/files/9678016/errors-pt-1-9.txt)

#### General
| no. | error | status |
|-:|:-|:-|
| 50 | AttributeError: module 'torch' has no attribute 'pi' | Need PT >= 1.10. But we can use np.pi. See #19201 |
| 44 | TypeError: meshgrid() got an unexpected keyword argument 'indexing' | `Vilt` needs PT >= 1.10 |
| 32 | NameError: name 'kenlm' is not defined | see PT 11 |
| 18 | AttributeError: module 'torchaudio.functional' has no attribute 'melscale_fbanks' | Need torchaudio >= 0.10. See #19203 |
| 15 | RuntimeError: CUDA error: an illegal memory access was encountered | LeViT re-run OK |
| 12 | RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0  | see PT 11 |
| 6 | OSError: gs555750 is not a valid git identifier (branch name, tag name or commit id) that exists for | see PT 11 |
| 6 | NameError: name 'GPT2Tokenizer' is not defined | see PT 11 |
| 6 | TypeError: forward() missing 1 required positional argument: 'attention_mask' | see PT 11 |
| 3 | ImportError: | see PT 11 |
| 2 | RuntimeError: "LayerNormKernelImpl" not implemented for 'BFloat16' | fixed in #19261 |
| 2 | AssertionError: 1.9311904907226562e-05 != 1.9431114196777344e-05 | See PT 10 |
| 2 | AssertionError: -198.98219299316406 != -198.98225 within 4 places (5.7006835930906163e-05 difference | diff acceptable |
| 2 | RuntimeError: Index is supposed to be an empty tensor or a vector | torch._C issue -> works wth PT >= 11 Fixed in https://github.com/huggingface/transformers/pull/19122 |
| 2 | RuntimeError: Expected node type 'onnx::Constant' for argument 'num_classes' of node 'one_hot', got  | test already skipped in #19122 (due to another error)|
| 2 | AssertionError: torch.Size([1, 2]) != torch.Size([1, 32]) | see PT 11 |
| 2 | TypeError: Caught TypeError in replica 0 on device 0. | Vilt needs PT >= 1.10 (`meshgrid` error) |
| 1 | RuntimeError: transform: failed to synchronize: cudaErrorIllegalAddress: an illegal memory access wa | See #20859 (opened) |
| 1 | RuntimeError: Caught RuntimeError in replica 0 on device 0. | see PT 11 |

#### Per model
| model | no. of errors | major error | count |
|-:|-:|-:|-:|
| maskformer | 50 | AttributeError: module 'torch' has no attribute 'pi' | 50 |
| vilt | 46 | TypeError: meshgrid() got an unexpected keyword argument 'in | 44 |
| wav2vec2_with_lm | 30 | NameError: name 'kenlm' is not defined | 30 |
| owlvit | 21 | RuntimeError: Expected all tensors to be on the same device, | 12 |
| mctct | 18 | AttributeError: module 'torchaudio.functional' has no attrib | 18 |
| levit | 16 | RuntimeError: CUDA error: an illegal memory access was encou | 15 |
| bloom | 10 | OSError: gs555750 is not a valid git identifier (branch name | 6 |
| opt | 6 | NameError: name 'GPT2Tokenizer' is not defined | 6 |
| longt5 | 4 | RuntimeError: Index is supposed to be an empty tensor or a v | 2 |
| flava | 2 | AssertionError: -198.98219299316406 != -198.98225 within 4 p | 2 |
| wav2vec2 | 2 | NameError: name 'kenlm' is not defined | 2 |
| layoutlmv2 | 2 | ImportError: | 2 |<|||||>### **Past CI - PyTorch 1.8 (Patch release: v4.21.2 | b487096b0)**

[errors-pt-1-8.txt](https://github.com/huggingface/transformers/files/9678007/errors-pt-1-8.txt)

#### General
| no. | error | status |
|-:|:-|:-|
| 570 | AttributeError: module 'torch.jit._state' has no attribute '_clear_class_state' | WIP |
| 50 | AttributeError: module 'torch' has no attribute 'pi' | See PT 1.9 |
| 44 | TypeError: conv1d(): argument 'padding' (position 5) must be tuple of ints, not str | WIP |
| 44 | TypeError: meshgrid() got an unexpected keyword argument 'indexing' | See PT 1.9 |
| 30 | NameError: name 'kenlm' is not defined | see PT 11 |
| 26 | AttributeError: module 'torch' has no attribute 'permute' | WIP |
| 18 | AttributeError: module 'torchaudio.functional' has no attribute 'melscale_fbanks' | See PT 1.9 |
| 12 | RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0  | see PT 1.11 |
| 8 | RuntimeError: einsum() operand subscript must be in range [a, z] but found B for operand 0 | WIP |
| 6 | OSError: gs555750 is not a valid git identifier (branch name, tag name or commit id) that exists for | see PT 1.11 |
| 6 | NameError: name 'GPT2Tokenizer' is not defined | see PT 1.11 |
| 6 | TypeError: forward() missing 1 required positional argument: 'attention_mask' | see PT 1.11 |
| 4 | TypeError: Caught TypeError in replica 0 on device 0. | see PT 1.10 |
| 3 | ImportError: | See PT 1.11 |
| 2 | RuntimeError: "LayerNormKernelImpl" not implemented for 'BFloat16' | See PT 1.9 |
| 2 | RuntimeError: "min_cuda" not implemented for 'BFloat16' | WIP |
| 2 | AssertionError: 1.9311904907226562e-05 != 1.9431114196777344e-05 | See PT 10 |
| 2 | AssertionError: -198.98219299316406 != -198.98225 within 4 places (5.7006835930906163e-05 difference | See PT 9 |
| 2 | AssertionError: False is not true |
| 2 | RuntimeError: Expected node type 'onnx::Constant' for argument 'num_classes' of node 'one_hot', got  |  See PT 1.9 |
| 2 | AssertionError: torch.Size([1, 2]) != torch.Size([1, 32]) | see PT 11 |
| 2 | TypeError: CheckpointFunctionBackward.forward: expected Tensor or tuple of Tensor (got tuple) for re | WIP |
| 2 | TypeError: save_for_backward can only save variables, but argument 2 is of type bool | WIP |
| 2 | AttributeError: module 'torchaudio.functional' has no attribute 'resample' | WIP |
| 1 | RuntimeError: Caught RuntimeError in replica 0 on device 0. |  see PT 11 |
| 1 | AssertionError: 2.9253265857696533 != 2.925307273864746 within 1e-05 delta (1.9311904907226562e-05 d | diff acceptable



#### Per model
| model | no. of errors | major error | count |
|-:|-:|-:|-:|
| mctct | 64 | TypeError: conv1d(): argument 'padding' (position 5) must be | 44 |
| maskformer | 50 | AttributeError: module 'torch' has no attribute 'pi' | 50 |
| vilt | 46 | TypeError: meshgrid() got an unexpected keyword argument 'in | 44 |
| owlvit | 33 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| wav2vec2_with_lm | 30 | NameError: name 'kenlm' is not defined | 30 |
| longt5 | 26 | AttributeError: module 'torch.jit._state' has no attribute ' | 24 |
| perceiver | 26 | AttributeError: module 'torch' has no attribute 'permute' | 26 |
| bloom | 18 | OSError: gs555750 is not a valid git identifier (branch name | 6 |
| prophetnet | 18 | AttributeError: module 'torch.jit._state' has no attribute ' | 18 |
| data2vec | 18 | AttributeError: module 'torch.jit._state' has no attribute ' | 18 |
| hubert | 14 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| realm | 14 | RuntimeError: einsum() operand subscript must be in range [a | 8 |
| wav2vec2 | 14 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| clip | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| marian | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| opt | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| blenderbot | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| pegasus | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| t5 | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| funnel | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| mvp | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| mbart | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| plbart | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| blenderbot_small | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| bart | 12 | AttributeError: module 'torch.jit._state' has no attribute ' | 12 |
| swin | 8 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| sew | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| resnet | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| xlm_roberta_xl | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| splinter | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| dpt | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| xlm | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| speech_to_text_2 | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| dpr | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| squeezebert | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| vit | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| mobilebert | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| convnext | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| xlnet | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| glpn | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| segformer | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| cpm | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| nezha | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| bigbird_pegasus | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| megatron_bert | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| trocr | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| rembert | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| van | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| mobilevit | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| gpt_neox | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| openai | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| albert | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| nystromformer | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| distilbert | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| gpt2 | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| mpnet | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| roberta | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| deit | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| unispeech | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| flaubert | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| codegen | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| wavlm | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| xglm | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| roformer | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| regnet | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| bert_generation | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| convbert | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| beit | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| transfo_xl | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| electra | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| ctrl | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| canine | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| groupvit | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| gptj | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| gpt_neo | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| fnet | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| fsmt | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| m2m_100 | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| layoutlm | 6 | AttributeError: module 'torch.jit._state' has no attribute ' | 6 |
| layoutlmv2 | 2 | ImportError: | 2 |
| flava | 2 | AssertionError: -198.98219299316406 != -198.98225 within 4 p | 2 |
| trajectory_transformer | 2 | TypeError: save_for_backward can only save variables, but ar | 2 |<|||||>### **Past CI - TensorFlow 2.8 (Patch release: v4.21.2 | b487096b0)**

#### General
| no. | error |
|-:|:-|
| 66 | RuntimeError: Cannot export model to ONNX using PyTorch because no PyTorch package was found. |
| 30 | NameError: name 'kenlm' is not defined |
| 6 | NameError: name 'GPT2Tokenizer' is not defined |
| 4 | NameError: name 'MaskFormerForInstanceSegmentation' is not defined |
| 4 | ImportError: |
| 2 | NameError: name 'MaskFormerModel' is not defined |
| 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError: required broadcastable shapes [Op:Equa |
| 1 | ValueError: You called `set_weights(weights)` on layer "tf_segformer_for_image_classification_8" wit |



#### Per model
| model | no. of errors | major error | count |
|-:|-:|-:|-:|
| wav2vec2_with_lm | 28 | NameError: name 'kenlm' is not defined | 28 |
| maskformer | 6 | NameError: name 'MaskFormerForInstanceSegmentation' is not d | 4 |
| opt | 6 | NameError: name 'GPT2Tokenizer' is not defined | 6 |
| speech_to_text | 4 | ImportError: | 4 |
| wav2vec2 | 2 | NameError: name 'kenlm' is not defined | 2 |
| rembert | 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError | 2 |
| segformer | 1 | ValueError: You called `set_weights(weights)` on layer "tf_s | 1 |<|||||>### **Past CI - TensorFlow 2.7 (Patch release: v4.21.2 | b487096b0)**

#### General
| no. | error |
|-:|:-|
| 66 | RuntimeError: Cannot export model to ONNX using PyTorch because no PyTorch package was found. |
| 30 | NameError: name 'kenlm' is not defined |
| 6 | TypeError: Invalid keyword argument(s) in `compile()`: ({'jit_compile'},). Valid keyword arguments i |
| 6 | NameError: name 'GPT2Tokenizer' is not defined |
| 4 | NameError: name 'MaskFormerForInstanceSegmentation' is not defined |
| 4 | ImportError: |
| 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 2 | NameError: name 'MaskFormerModel' is not defined |
| 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError: required broadcastable shapes [Op:Equa |
| 1 | ValueError: You called `set_weights(weights)` on layer "tf_segformer_for_image_classification_8" wit |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |



#### Per model
| model | no. of errors | major error | count |
|-:|-:|-:|-:|
| wav2vec2_with_lm | 28 | NameError: name 'kenlm' is not defined | 28 |
| t5 | 10 | tensorflow.python.framework.errors_impl.InvalidArgumentError | 1 |
| maskformer | 6 | NameError: name 'MaskFormerForInstanceSegmentation' is not d | 4 |
| opt | 6 | NameError: name 'GPT2Tokenizer' is not defined | 6 |
| speech_to_text | 4 | ImportError: | 4 |
| wav2vec2 | 2 | NameError: name 'kenlm' is not defined | 2 |
| gptj | 2 | TypeError: Invalid keyword argument(s) in `compile()`: ({'ji | 2 |
| bart | 2 | TypeError: Invalid keyword argument(s) in `compile()`: ({'ji | 2 |
| gpt2 | 2 | TypeError: Invalid keyword argument(s) in `compile()`: ({'ji | 2 |
| rembert | 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError | 2 |
| segformer | 1 | ValueError: You called `set_weights(weights)` on layer "tf_s | 1 |<|||||>### **Past CI - TensorFlow 2.6 (Patch release: v4.21.2 | b487096b0)**

#### General
| no. | error |
|-:|:-|
| 66 | RuntimeError: Cannot export model to ONNX using PyTorch because no PyTorch package was found. |
| 30 | NameError: name 'kenlm' is not defined |
| 10 | ValueError: in user code: |
| 6 | TypeError: Invalid keyword argument(s) in `compile`: {'jit_compile'} |
| 6 | NameError: name 'GPT2Tokenizer' is not defined |
| 4 | NameError: name 'MaskFormerForInstanceSegmentation' is not defined |
| 4 | ImportError: |
| 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Detected unsupported operations when t |
| 2 | NameError: name 'MaskFormerModel' is not defined |
| 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError: required broadcastable shapes [Op:Equa |
| 1 | ValueError: You called `set_weights(weights)` on layer "tf_segformer_for_image_classification_8" wit |
| 1 | ValueError: Unable to save function b'__inference_tf_speech2text_model_25_layer_call_and_return_cond |
| 1 | tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected 'tf.Tensor(False, shape=(), d |
| 1 | ValueError: Unable to save function b'__inference_tf_speech2text_model_25_layer_call_and_return_cond |



#### Per model
| model | no. of errors | major error | count |
|-:|-:|-:|-:|
| wav2vec2_with_lm | 28 | NameError: name 'kenlm' is not defined | 28 |
| t5 | 10 | ValueError: in user code: | 10 |
| maskformer | 6 | NameError: name 'MaskFormerForInstanceSegmentation' is not d | 4 |
| opt | 6 | NameError: name 'GPT2Tokenizer' is not defined | 6 |
| speech_to_text | 6 | ImportError: | 4 |
| bart | 3 | TypeError: Invalid keyword argument(s) in `compile`: {'jit_c | 2 |
| wav2vec2 | 2 | NameError: name 'kenlm' is not defined | 2 |
| gptj | 2 | TypeError: Invalid keyword argument(s) in `compile`: {'jit_c | 2 |
| gpt2 | 2 | TypeError: Invalid keyword argument(s) in `compile`: {'jit_c | 2 |
| rembert | 2 | tensorflow.python.framework.errors_impl.InvalidArgumentError | 2 |
| segformer | 1 | ValueError: You called `set_weights(weights)` on layer "tf_s | 1 |<|||||>### **Past CI - TensorFlow 2.5 (Patch release: v4.21.2 | b487096b0)**

#### General
| no. | error |
|-:|:-|
| 70 | RuntimeError: Failed to import transformers.models.albert.modeling_tf_albert because of the followin |
| 28 | NameError: name 'kenlm' is not defined |
| 18 | RuntimeError: Failed to import transformers.models.gpt2.modeling_tf_gpt2 because of the following er |
| 4 | NameError: name 'MaskFormerForInstanceSegmentation' is not defined |
| 2 | RuntimeError: Failed to import transformers.models.t5.modeling_tf_t5 because of the following error  |
| 2 | RuntimeError: Failed to import transformers.models.distilbert.modeling_tf_distilbert because of the  |
| 2 | RuntimeError: Failed to import transformers.models.bert.modeling_tf_bert because of the following er |
| 2 | NameError: name 'MaskFormerModel' is not defined |



#### Per model
| model | no. of errors | major error | count |
|-:|-:|-:|-:|
| wav2vec2_with_lm | 28 | NameError: name 'kenlm' is not defined | 28 |
| maskformer | 6 | NameError: name 'MaskFormerForInstanceSegmentation' is not d | 4 |
| squeezebert | 4 | RuntimeError: Failed to import transformers.models.albert.mo | 4 |
| xglm | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| bert_generation | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| byt5 | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| bloom | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| perceiver | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| layoutlmv2 | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| bort | 2 | RuntimeError: Failed to import transformers.models.bert.mode | 2 |
| tapex | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| plbart | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| barthez | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| layoutxlm | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| nllb | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| canine | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| layoutlmv3 | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| xlm_prophetnet | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| luke | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| mbart50 | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| realm | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| mluke | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| bertweet | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| mvp | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| big_bird | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| phobert | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| fnet | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| speech_to_text_2 | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| prophetnet | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| herbert | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| fsmt | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| codegen | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| retribert | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| m2m_100 | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| bartpho | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |
| reformer | 2 | RuntimeError: Failed to import transformers.models.albert.mo | 2 |<|||||>I was trying to fix the kenlm issue, but I see it's correctly installed [here](https://github.com/huggingface/transformers/blame/main/docker/transformers-all-latest-gpu/Dockerfile#L49) and has been for a while. 

I guess it is an image issue?<|||||>> I was trying to fix the kenlm issue, but I see it's correctly installed [here](https://github.com/huggingface/transformers/blame/main/docker/transformers-all-latest-gpu/Dockerfile#L49) and has been for a while.
> 
> I guess it is an image issue?

Hi @LysandreJik. In fact, Past CI use `transformers-past-gpu/Dockerfile`:
https://github.com/huggingface/transformers/blame/main/docker/transformers-past-gpu/Dockerfile

It's probably arguable if we should (or should not) include `kenlm`. I don't remember well if I got issue when installing it. Maybe yes for more elder versions, so I decide not to install it for all versions (to avoid confusion).

We can try with it in the next launch.<|||||>I think we can add it, we've had it in the main file for 8 months so it's unlikely to cause an issue. Looking forward to the next launch!