Tensorflow serving with contrib operations












1















How can I serve model with tensorflow-serving, if there are tf.contrib operations. I use Tensorflow Serving via Docker (latest) (version of tf 1.11) and when I serve model there is the next message:



“Failed to start server. Error: Unknown: 1 servable(s) did not become available: {{{name: slider_universal version: 1} due to error: Not found: Op type not registered ‘ImageProjectiveTransformV2’ in binary running on 254345a5d9f1. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) tf.contrib.resampler should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.}, }”


I also built with bazel but there was the same error



I use tf.contrib.image.transform



If I delete this operation during exporting model it can be served by tensorflow serving










share|improve this question



























    1















    How can I serve model with tensorflow-serving, if there are tf.contrib operations. I use Tensorflow Serving via Docker (latest) (version of tf 1.11) and when I serve model there is the next message:



    “Failed to start server. Error: Unknown: 1 servable(s) did not become available: {{{name: slider_universal version: 1} due to error: Not found: Op type not registered ‘ImageProjectiveTransformV2’ in binary running on 254345a5d9f1. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) tf.contrib.resampler should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.}, }”


    I also built with bazel but there was the same error



    I use tf.contrib.image.transform



    If I delete this operation during exporting model it can be served by tensorflow serving










    share|improve this question

























      1












      1








      1


      1






      How can I serve model with tensorflow-serving, if there are tf.contrib operations. I use Tensorflow Serving via Docker (latest) (version of tf 1.11) and when I serve model there is the next message:



      “Failed to start server. Error: Unknown: 1 servable(s) did not become available: {{{name: slider_universal version: 1} due to error: Not found: Op type not registered ‘ImageProjectiveTransformV2’ in binary running on 254345a5d9f1. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) tf.contrib.resampler should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.}, }”


      I also built with bazel but there was the same error



      I use tf.contrib.image.transform



      If I delete this operation during exporting model it can be served by tensorflow serving










      share|improve this question














      How can I serve model with tensorflow-serving, if there are tf.contrib operations. I use Tensorflow Serving via Docker (latest) (version of tf 1.11) and when I serve model there is the next message:



      “Failed to start server. Error: Unknown: 1 servable(s) did not become available: {{{name: slider_universal version: 1} due to error: Not found: Op type not registered ‘ImageProjectiveTransformV2’ in binary running on 254345a5d9f1. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) tf.contrib.resampler should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.}, }”


      I also built with bazel but there was the same error



      I use tf.contrib.image.transform



      If I delete this operation during exporting model it can be served by tensorflow serving







      python tensorflow tensorflow-serving






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 13 '18 at 15:50









      Бакай ЖамгырчиевБакай Жамгырчиев

      83




      83
























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          I had problems with the same op and it seems like the only way is to build it.



          tensorflow_serving/model_servers/BUILD defines which Tensorflow ops will be included in variable SUPPORTED_TENSORFLOW_OPS, and I was a bit confused about this since it specifies that contrib ops should be included. However, since the tensorflow contrib build rule doesn't seem to include the ops under contrib.image so instead I explicitly added these by updating this variable to the following



          SUPPORTED_TENSORFLOW_OPS = [
          "@org_tensorflow//tensorflow/contrib:contrib_kernels",
          "@org_tensorflow//tensorflow/contrib:contrib_ops_op_lib",
          "@org_tensorflow//tensorflow/contrib/image:image_ops_kernels",
          "@org_tensorflow//tensorflow/contrib/image:image_ops_op_lib",
          ]





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            0














            I had problems with the same op and it seems like the only way is to build it.



            tensorflow_serving/model_servers/BUILD defines which Tensorflow ops will be included in variable SUPPORTED_TENSORFLOW_OPS, and I was a bit confused about this since it specifies that contrib ops should be included. However, since the tensorflow contrib build rule doesn't seem to include the ops under contrib.image so instead I explicitly added these by updating this variable to the following



            SUPPORTED_TENSORFLOW_OPS = [
            "@org_tensorflow//tensorflow/contrib:contrib_kernels",
            "@org_tensorflow//tensorflow/contrib:contrib_ops_op_lib",
            "@org_tensorflow//tensorflow/contrib/image:image_ops_kernels",
            "@org_tensorflow//tensorflow/contrib/image:image_ops_op_lib",
            ]





            share|improve this answer




























              0














              I had problems with the same op and it seems like the only way is to build it.



              tensorflow_serving/model_servers/BUILD defines which Tensorflow ops will be included in variable SUPPORTED_TENSORFLOW_OPS, and I was a bit confused about this since it specifies that contrib ops should be included. However, since the tensorflow contrib build rule doesn't seem to include the ops under contrib.image so instead I explicitly added these by updating this variable to the following



              SUPPORTED_TENSORFLOW_OPS = [
              "@org_tensorflow//tensorflow/contrib:contrib_kernels",
              "@org_tensorflow//tensorflow/contrib:contrib_ops_op_lib",
              "@org_tensorflow//tensorflow/contrib/image:image_ops_kernels",
              "@org_tensorflow//tensorflow/contrib/image:image_ops_op_lib",
              ]





              share|improve this answer


























                0












                0








                0







                I had problems with the same op and it seems like the only way is to build it.



                tensorflow_serving/model_servers/BUILD defines which Tensorflow ops will be included in variable SUPPORTED_TENSORFLOW_OPS, and I was a bit confused about this since it specifies that contrib ops should be included. However, since the tensorflow contrib build rule doesn't seem to include the ops under contrib.image so instead I explicitly added these by updating this variable to the following



                SUPPORTED_TENSORFLOW_OPS = [
                "@org_tensorflow//tensorflow/contrib:contrib_kernels",
                "@org_tensorflow//tensorflow/contrib:contrib_ops_op_lib",
                "@org_tensorflow//tensorflow/contrib/image:image_ops_kernels",
                "@org_tensorflow//tensorflow/contrib/image:image_ops_op_lib",
                ]





                share|improve this answer













                I had problems with the same op and it seems like the only way is to build it.



                tensorflow_serving/model_servers/BUILD defines which Tensorflow ops will be included in variable SUPPORTED_TENSORFLOW_OPS, and I was a bit confused about this since it specifies that contrib ops should be included. However, since the tensorflow contrib build rule doesn't seem to include the ops under contrib.image so instead I explicitly added these by updating this variable to the following



                SUPPORTED_TENSORFLOW_OPS = [
                "@org_tensorflow//tensorflow/contrib:contrib_kernels",
                "@org_tensorflow//tensorflow/contrib:contrib_ops_op_lib",
                "@org_tensorflow//tensorflow/contrib/image:image_ops_kernels",
                "@org_tensorflow//tensorflow/contrib/image:image_ops_op_lib",
                ]






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Dec 4 '18 at 16:59









                John PertoftJohn Pertoft

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