Comments (3)
@0400H We have a TF serving client for Wide & Deep large dataset here: run_tf_serving_client.py.
It's used as part of our Kubernetes pipeline that does Wide & Deep large dataset FP32 training (which exports a saved_model.pb) and serves the model, but it should work outside of kubernetes as well if you already have a saved model that you're serving. Some documentation on running the client can be found here. Does this help?
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@0400H We have a TF serving client for Wide & Deep large dataset here: run_tf_serving_client.py.
It's used as part of our Kubernetes pipeline that does Wide & Deep large dataset FP32 training (which exports a saved_model.pb) and serves the model, but it should work outside of kubernetes as well if you already have a saved model that you're serving. Some documentation on running the client can be found here. Does this help?
It has been done through the following link:
wide_deep
wide_deep_fp32_pretrained_model.tar.gz
It also refers to many ancient source codes from other websites, which is really an ugly implementation.
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@0400H: do you still need help with this issue?
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