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Simply calling `tfnode.node.getMetaGraphsFromSavedModel(path);` on a model using `uint8` results in error:
```
(node:2420) UnhandledPromiseRejectionWarning: Error: Unsupported tensor DataType: DT_…
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### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: Amazon AMI
- **TensorFlow Serving installed from (source or binary)**: docker
- **TensorFlow Serving version**:…
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when i use tensorflow2.1 .I trained my model custom,yesterday,the code can run correctly. But torday is error, I debug my code , I found this code is error ,
```python
self.train_accuracy = tf.keras…
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I have implemented a custom tfx example after working trough the tfx taxi example.
The model that is trained in the tfx pipeline is a canned estimator estimator: DNNRegressor.
inside model_fn of…
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**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04
-…
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Hello!
## Problem
I was looking for guidance on how to create a TFX-produced hermetic model - containing (1) inference and (2) preprocessing code, specifically when the inputs to the serving signa…
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Hi all,
As the title, I got strange results when inference using tflite converted weight file.
OS: Windows 10
tensorflow 2.3.1
Converted command:
```python model_inspect.py --runmode=sav…
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While replicating an issue in Collab, I realized that TF 1.15 breaks if used on the TFX Keras tutorial: https://colab.research.google.com/drive/1RQPZ7ox1Q7upQ7RcwXj5F_7JeShE3AA2#scrollTo=S4SQA7Q5nej3
…
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Release Date: early march 2021
Wanted:
- a full stable Python-3.9 stack vs Python-3.8:
- [x] rc version: numba,
- [x] released version: pytorch, pyarrow, onnx
- [x] Jupyterlab-3.0.1 or…
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When using AI Platform for serving a model, the model requires a JSON in the form {"instances": [...] }.
However, when creating a TFX pipeline, the model only uses Examples as inputs and outputs. …