docstr: Test that a TensorSpec with a framework raises an error
  when being used with a tensor from a different framework.
docstr_tok: ["Test","that","a","TensorSpec","with","a","framework","raises","an","error","when","being","used","with","a","tensor","from","a","different","framework","."]
code: def test_validate_framework(self):
      """
      Test that a TensorSpec with a framework raises an error
      when being used with a tensor from a different framework.
      """
      for spec_fw, tensor_fw in itertools.product(
          FRAMEWORKS_TO_TEST, FRAMEWORKS_TO_TEST
      ):
          spec = TensorSpec("b, h", b=2, h=3, framework=spec_fw)
          tensor = TensorSpec(
              "b, h", b=2, h=3, framework=tensor_fw
          ).fill(0)
          if spec_fw == tensor_fw:
              spec.validate(tensor)
          else:
              self.assertRaises(
                  ValueError, lambda: spec.validate(tensor)
              )
  
file_path: ray/python/ray/rllib/core/models/specs/tests/test_tensor_spec.py
imports: import itertools
  import unittest
  import numpy
  from ray.rllib.utils import try_import_jax, try_import_tf, try_import_torch
  from ray.rllib.utils.test_utils import check
  from ray.rllib.core.models.specs.specs_base import TensorSpec
label_desc: Use image node_id 7 for calling the TestSpecs obj's underlying member method code with example usage: obj.test_validate_framework() without return types