tensorflow / tensorflow/java

`asset_path_initializer` not fed when saving/reloading model

Abierto
#434 16 comentarios 1 reacción 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

Lenguaje dominante
Java
Estrellas
928
Forks
227
Métricas de merge de PR
Sin PR fusionados en 30 d

Descripción

---- This is an issue posted by @maziyarpanahi ----

Hi @karllessard

We are experiencing the same issue however in the 0.4.0 release (after this fix https://github.com/tensorflow/java/pull/393 was included). Previously in 0.2.x and 0.3.x, we were able to load a model, save it on disk, and load it back (both models from TF Hub and HuggingFace as SavedModel).

However, now in 0.4.0, we can load any SavedModel from anywhere, but once it's saved on disk we face this similar error when trying to load it back (only TF Hub models):

  [ERROR] org.tensorflow.exceptions.TFInvalidArgumentException: You must feed a value for placeholder tensor 'asset_path_initializer' with dtype string  [[node asset_path_initializer]]
  • Models coming from TF Hub have an extra asset_path_initializer placeholder, they used to work in the 0.2.x and 0.3.x releases without a need to feed it or deal with it in any way.
  • Models coming from HuggingFace don't have an asset_path_initializer placeholder, so we don't have an issue with those

BERT on TF Hub:

image

BERT on HuggingFace:

image

Is there anything we need to do since 0.4.x is on TensorFlow 2.7.x, I am not sure if this is a change in newer TF or in tensorflow-java.

PS: We don't use any exporters, we saved the model differently. A very quick and simple example of how we do this:

val model = SavedModelBundle.load(modelPath, "serve")

/* Save the model */
val graph = model.graph()
val session = model.session()

val exportDir = Files.createDirectory(Paths.get("./saved_model")).toAbsolutePath.toString

val variablesFile = Paths.get(exportDir, "variables").toString

session.runner
  .addTarget("StatefulPartitionedCall_1")
  .feed("saver_filename", t.createTensor(variablesFile))
  .run()

val graphFile = Paths.get(exportDir, TensorflowWrapper.SavedModelPB).toString
FileUtils.writeByteArrayToFile(new File(graphFile), graph.toGraphDef.toByteArray)

image

We have been doing this since TF v1 and it has been compatible with all the TF v2 up until 0.4.0, but now if we save it like this (only models from TF Hub and I am guessing those with assets) we see that error)

Originally posted by @maziyarpanahi in https://github.com/tensorflow/java/issues/387#issuecomment-1066628248

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Reproduce el fallo usando SavedModelBundle.load, el graph y la session, y el destino saver_filename mostrado en el issue, comparando modelos de TF Hub y HuggingFace. Inspecciona cómo se guardan el graph y las variables en SavedModelPB y luego se vuelven a cargar. Se considera terminado cuando los modelos de TF Hub con assets se pueden guardar y volver a cargar sin el error asset_path_initializer.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
java
Área
machine-learning
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
35/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.