code: def run(self):
      pt_version = "not installed"
      pt_cuda_available = "NA"
      if is_torch_available():
          import torch
  
          pt_version = torch.__version__
          pt_cuda_available = torch.cuda.is_available()
  
      tf_version = "not installed"
      tf_cuda_available = "NA"
      if is_tf_available():
          import tensorflow as tf
  
          tf_version = tf.__version__
          try:
              # deprecated in v2.1
              tf_cuda_available = tf.test.is_gpu_available()
          except AttributeError:
              # returns list of devices, convert to bool
              tf_cuda_available = bool(
                  tf.config.list_physical_devices("GPU")
              )
  
      flax_version = "not installed"
      jax_version = "not installed"
      jaxlib_version = "not installed"
      jax_backend = "NA"
      if is_flax_available():
          import flax
          import jax
          import jaxlib
  
          flax_version = flax.__version__
          jax_version = jax.__version__
          jaxlib_version = jaxlib.__version__
          jax_backend = jax.lib.xla_bridge.get_backend().platform
  
      info = {
          "`transformers` version": version,
          "Platform": platform.platform(),
          "Python version": platform.python_version(),
          "Huggingface_hub version": huggingface_hub.__version__,
          "PyTorch version (GPU?)": f"{pt_version} ({pt_cuda_available})",
          "Tensorflow version (GPU?)": f"{tf_version} ({tf_cuda_available})",
          "Flax version (CPU?/GPU?/TPU?)": f"{flax_version} ({jax_backend})",
          "Jax version": f"{jax_version}",
          "JaxLib version": f"{jaxlib_version}",
          "Using GPU in script?": "<fill in>",
          "Using distributed or parallel set-up in script?": "<fill in>",
      }
  
      print(
          "\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n"
      )
      print(self.format_dict(info))
  
      return info
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/commands/env.py
imports: import platform
  from argparse import ArgumentParser
  import huggingface_hub
  from ..None import __version__
  from ..utils import is_flax_available, is_tf_available, is_torch_available
  from .None import BaseTransformersCLICommand
label_desc: Use image node_id 2 for calling the EnvironmentCommand obj's underlying member method code with example usage: obj.run() and returns: info