Importing Batch TorchText.Legacy versus Torchtext Failures

[Seretsi]

🐛 Describe the bug

!pip install torch==2.0.0+cu117 torchvision==0.15.1+cu117 torchaudio==2.0.1+cu117 --index-url https://download.pytorch.org/whl/cu117
 !pip uninstall -y torchtext
 !pip install torchtext==0.15.1
!pip install pytorch-lightning==1.5.0

import torchtext as tt
print(tt.__version__)
import pytorch_lightning as pl
print(pl.__version__)

I am getting the error below when I try to run code the needs pytorch_lightning. Version 1.5.0 should not be using torchtext.legacy.data but it keeps trying to and failing. I saw this logic in pytorch_lightning's apply_func.py code:

if _TORCHTEXT_AVAILABLE:
    if _compare_version("torchtext", operator.ge, "0.9.0"):
        from torchtext.legacy.data import Batch
    else:
        from torchtext.data import Batch
else:
    Batch = type(None)

This doesn't seem right if my understanding is correct. Isn't legacy only available for versions 0.9.0 and below?

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
[<ipython-input-12-f83604beb67d>](https://localhost:8080/#) in <cell line: 2>()
      1 # !pip install torchtext==0.12.0
----> 2 import pytorch_lightning as pl
      3 print(pl.__version__)

4 frames
[/usr/local/lib/python3.10/dist-packages/pytorch_lightning/__init__.py](https://localhost:8080/#) in <module>
     18 _PROJECT_ROOT = os.path.dirname(_PACKAGE_ROOT)
     19 
---> 20 from pytorch_lightning.callbacks import Callback  # noqa: E402
     21 from pytorch_lightning.core import LightningDataModule, LightningModule  # noqa: E402
     22 from pytorch_lightning.trainer import Trainer  # noqa: E402

[/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/__init__.py](https://localhost:8080/#) in <module>
     12 # See the License for the specific language governing permissions and
     13 # limitations under the License.
---> 14 from pytorch_lightning.callbacks.base import Callback
     15 from pytorch_lightning.callbacks.device_stats_monitor import DeviceStatsMonitor
     16 from pytorch_lightning.callbacks.early_stopping import EarlyStopping

[/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/base.py](https://localhost:8080/#) in <module>
     24 
     25 import pytorch_lightning as pl
---> 26 from pytorch_lightning.utilities.types import STEP_OUTPUT
     27 
     28 

[/usr/local/lib/python3.10/dist-packages/pytorch_lightning/utilities/__init__.py](https://localhost:8080/#) in <module>
     16 import numpy
     17 
---> 18 from pytorch_lightning.utilities.apply_func import move_data_to_device  # noqa: F401
     19 from pytorch_lightning.utilities.distributed import AllGatherGrad, rank_zero_info, rank_zero_only  # noqa: F401
     20 from pytorch_lightning.utilities.enums import (  # noqa: F401

[/usr/local/lib/python3.10/dist-packages/pytorch_lightning/utilities/apply_func.py](https://localhost:8080/#) in <module>
     28 if _TORCHTEXT_AVAILABLE:
     29     if _compare_version("torchtext", operator.ge, "0.9.0"):
---> 30         from torchtext.legacy.data import Batch
     31     else:
     32         from torchtext.data import Batch

ModuleNotFoundError: No module named 'torchtext.legacy'

---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.

To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------

Versions

Collecting environment information...
PyTorch version: 2.0.0+cu117
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: 14.0.0-1ubuntu1.1
CMake version: version 3.27.9
Libc version: glibc-2.35

Python version: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.1.85+-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 2
On-line CPU(s) list: 0,1
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) CPU @ 2.20GHz
CPU family: 6
Model: 79
Thread(s) per core: 2
Core(s) per socket: 1
Socket(s): 1
Stepping: 0
BogoMIPS: 4399.99
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx smap xsaveopt arat md_clear arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32 KiB (1 instance)
L1i cache: 32 KiB (1 instance)
L2 cache: 256 KiB (1 instance)
L3 cache: 55 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0,1
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Mitigation; PTE Inversion
Vulnerability Mds: Vulnerable; SMT Host state unknown
Vulnerability Meltdown: Vulnerable
Vulnerability Mmio stale data: Vulnerable
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Vulnerable
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers
Vulnerability Spectre v2: Vulnerable; IBPB: disabled; STIBP: disabled; PBRSB-eIBRS: Not affected; BHI: Vulnerable (Syscall hardening enabled)
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Vulnerable

Versions of relevant libraries:
[pip3] numpy==1.25.2
[pip3] pytorch-lightning==1.5.0
[pip3] torch==2.0.0+cu117
[pip3] torchaudio==2.0.1+cu117
[pip3] torchdata==0.6.0
[pip3] torchmetrics==1.4.0.post0
[pip3] torchsummary==1.5.1
[pip3] torchtext==0.15.1
[pip3] torchvision==0.15.1+cu117
[pip3] triton==2.0.0
[conda] Could not collect

[cpuhrsch]

@Seretsi - Have you considered opening an issue on pytorch/text?

[Seretsi]

I have not considered. Looks like its there. Not sure I did it.

[cfz1998]

same