Remove dead code that was moved to module_v2.py

PiperOrigin-RevId: 272657376

tensorflow_hub/module.py

@@ -562,57 +562,3 @@ def func(
         # Yield the function since that will keep the session alive until the
         # user exits the context.
         yield func
-
-
-def resolve(handle):
-  """Resolves a module handle into a path.
-
-   Resolves a module handle into a path by downloading and caching in
-   location specified by TF_HUB_CACHE_DIR if needed.
-
-  Args:
-    handle: (string) the Module handle to resolve.
-
-  Returns:
-    A string representing the Module path.
-  """
-  return registry.resolver(handle)
-
-
-def load(handle):
-  """Loads a module from a handle.
-
-  Currently this method only works with Tensorflow 2.x and can only load modules
-  created by calling tensorflow.saved_model.save(). The method works in both
-  eager and graph modes.
-
-  Depending on the type of handle used, the call may involve downloading a
-  Tensorflow Hub module to a local cache location specified by the
-  TFHUB_CACHE_DIR environment variable. If a copy of the module is already
-  present in the TFHUB_CACHE_DIR, the download step is skipped.
-
-  Currently, three types of module handles are supported:
-    1) Smart URL resolvers such as tfhub.dev, e.g.:
-       https://tfhub.dev/google/nnlm-en-dim128/1.
-    2) A directory on a file system supported by Tensorflow containing module
-       files. This may include a local directory (e.g. /usr/local/mymodule) or a
-       Google Cloud Storage bucket (gs://mymodule).
-    3) A URL pointing to a TGZ archive of a module, e.g.
-       https://example.com/mymodule.tar.gz.
-
-  Args:
-    handle: (string) the Module handle to resolve.
-
-  Returns:
-    A trackable object (see tf.saved_model.load() documentation for details).
-
-  Raises:
-    NotImplementedError: If the code is running against incompatible (1.x)
-                         version of TF.
-  """
-  if hasattr(tf_v1.saved_model, "load_v2"):
-    module_handle = resolve(handle)
-    return tf_v1.saved_model.load_v2(module_handle)
-  else:
-    raise NotImplementedError("hub.load() is not implemented for TF < 1.14.x, "
-                              "Current version: %s", tf.__version__)