Niraj Singh
Niraj Singh
@RajezMariner, I have found a [similar issue ](https://stackoverflow.com/questions/46267278/organizing-tensor-into-batches-of-dynamically-shaped-tensors) regarding batching with tf serving. There is a work around proposed using `TensorArray` and `tf.while_loop`. Kindly take a look and let me...
@bbhxwl In order to expedite the trouble-shooting process, please provide more details on the issue reported here. Thank you!
@shantanu-deepquanty, Kindly share the minimal code to reproduce the error for faster resolution. In meanwhile, you can refer to [documentation](https://www.tensorflow.org/tfx/serving/api_rest) and [tutorial](https://towardsdatascience.com/serving-deep-learning-model-in-production-using-fast-and-efficient-grpc-6dfe94bf9234) for using gRPC API with Tensorflow ModelServer. Thank...
@liaocz, Could you try to export your model using [tf.keras.models.save_model](https://www.tensorflow.org/api_docs/python/tf/keras/models/save_model) API and then try to load the model in latest TF serving build. Please refer this [tutorial](https://www.tensorflow.org/tfx/tutorials/serving/rest_simple) to save and...
@liaocz, Looks like this issue is similar to #1963. As a workaround, as suggested [here](https://github.com/tensorflow/serving/issues/1963#issuecomment-1055903347), please try installing and importing tensorflow-io. Kindly let us know if this resolves your issue....
@whoisltd, Looks like this issue is similar to #1963. As a workaround, as suggested [here](https://github.com/tensorflow/serving/issues/1963#issuecomment-1055903347), please try installing and importing tensorflow-io. Kindly let us know if this resolves your issue....
@whoisltd, `tensorflow_io` should be imported separately to your code to have `s3` access.
@fsonntag, Team is looking into this issue. In meanwhile, please use `TF serving 2.6.2` docker image for accessing S3 file.
@battuzz, This issue is already reported by other users. As a workaround, you can downgrade TF serving to 2.8.2. Requesting you to close this issue and follow #2048 thread.
@modbender, In Tensorflow What-If Tool [documentation](https://www.tensorflow.org/tensorboard/what_if_tool#requirements), the requirements mentions that `The dataset to be inferred by the models must be in a TFRecord file accessible by the TensorBoard web server`....